EXAMINING THE PREDICTIVE WEIGHT OF PERCEIVED ORGANIZATIONAL
SUPPORT AND JOB EMBEDDEDNESS ON TURNOVER INTENTION
by
Tyler Swansboro
Liberty University
A Dissertation Presented in Partial Fulfillment
of the Requirements for the Degree
Doctor of Philosophy
Liberty University
December, 2023
EXAMING POS AND JE 2
ABSTRACT
Generation Z personnel are entering the workplace in monumental numbers. As this
understudied population enters the work domain, the business environment will
continuously struggle to adapt to their new perceptions, motifs, and thought processes.
When these new workers enter the workforce, many will inevitably enter the leisure and
hospitality industry. This specific industry has the highest turnover rate in America
(Bureau of Labor and Statistics, 2022). To further the understanding of retention, this
study was structured to explore the predictive weight of perceived organizational support
(POS) and job embeddedness (JE) on turnover intention, to assess which construct was
the stronger predictor. Answering a call for future research, the sample was derived from
Generation Z employees (participants aged 18 to 25) who have worked or are working in
the leisure and hospitality sector for at least 6 months and did not hold a supervisory role.
68 participants filled out an online survey containing three psychological measurements
(POS, JE, turnover intention scale) that were posted in preapproved social media groups.
A multiple linear regression analysis was employed and revealed that POS is the only
predictor of turnover intention among Generation Z employees working in the American
leisure and hospitality industry. Implications and direction for future research are
discussed.
Keywords: Generation Z, leisure and hospitality, perceived organizational
support, job embeddedness, turnover intention, retention, multiple linear regression
analysis.
EXAMING POS AND JE 3
Acknowledgments
I owe a monumental thank you to my Chair, for guiding me throughout this
journey. Committee member, thank you for stepping in to join my committee at the last
minute, I greatly appreciate your contributions. I could not have asked for a better team.
Thank you, friends and family, for providing me with support throughout the
years. Special thanks to my mom for always checking in with me to see how I am doing,
ensuring that I stay motivated, and pushing me to be the best version of myself.
EXAMING POS AND JE 4
TABLE OF CONTENTS
TABLE OF CONTENTS .................................................................................................... 4
CHAPTER 1: INTRODUCTION ....................................................................................... 9
Background ........................................................................................................... 10
Problem Statement ................................................................................................ 12
Purpose of the Study ............................................................................................. 13
Research Question(s) and Hypotheses .................................................................. 14
Assumptions and Limitations of the Study ........................................................... 14
Theoretical Foundations of the Study ................................................................... 16
Definition of Terms............................................................................................... 18
Significance of the Study ...................................................................................... 19
Summary ............................................................................................................... 20
CHAPTER 2: LITERATURE REVIEW .......................................................................... 23
Description of Search Strategy ............................................................................. 24
Review of Literature ............................................................................................. 25
Biblical Foundations of the Study......................................................................... 50
Summary ............................................................................................................... 52
CHAPTER 3: RESEARCH METHOD ............................................................................ 53
Research Questions and Hypotheses .................................................................... 53
EXAMING POS AND JE 5
Research Design.................................................................................................... 54
Participants ............................................................................................................ 54
Study Procedures .................................................................................................. 56
Instrumentation and Measurement ........................................................................ 57
Operationalization of Variables ............................................................................ 58
Data Analysis ........................................................................................................ 58
Delimitations, Assumptions, and Limitations ....................................................... 59
Summary ............................................................................................................... 60
CHAPTER 4: RESULTS .................................................................................................. 62
Overview ............................................................................................................... 62
Descriptive Results ............................................................................................... 62
Study Findings ...................................................................................................... 63
Summary ............................................................................................................... 68
CHAPTER 5: DISCUSSION ............................................................................................ 69
Overview ............................................................................................................... 69
Summary of Findings ............................................................................................ 69
Discussion of Findings .......................................................................................... 70
Implications........................................................................................................... 72
Limitations ............................................................................................................ 76
EXAMING POS AND JE 6
Recommendations for Future Research ................................................................ 77
Summary ............................................................................................................... 80
REFERENCES ................................................................................................................. 82
APPENDIX A: SITE AUTHORIZATION .................................................................... 104
APPENDIX B: PERMISSION TO USE SURVEYS .................................................... 107
APPENDIX C: QUESTIONNAIRE .............................................................................. 109
APPENDIX D: PERMISSION RESPONSE DOCUMENT ......................................... 113
APPENDIX E: PERMISSION RESPONSE TEMPLATE ............................................ 114
APPENDIX F: FACEBOOK POST FOR DATA COLLECTION ................................ 115
EXAMING POS AND JE 7
List of Tables
Table 1 Descriptive Statistics …………………………………………………………... 63
Table 2 Model Summary ………………………………………………….……………...64
Table 3 ANOVA ………………………………………………………….………………64
Table 4 Coefficients …………………………………………………….………………..64
Table 5 Collinearity Statistics ……………………………………………………………67
Table 6 Turnover Rate Percentage ……………………………………………………...79
EXAMING POS AND JE 8
List of Figures
Figure 1 A Priori……………………………………………………………….…………56
Figure 2 Normal P-P Plot of Regression Standardized Residuals………….……………65
Figure 3 Normal Q-Q Plot of Normality for Turnover Intention ………………………..65
Figure 4 Scatterplot …………………………..………………………………………….66
Figure 5 Turnover Intention Scale Histogram …………………………………………...67
EXAMING POS AND JE 9
CHAPTER 1: INTRODUCTION
Employee retention persists as a top priority in organizational research because of
the vast number of variables that impact it such as cultural shifts, motivational changes,
technological advancements, employees seeking meaningful work, and shared value
within the organization (Khairunisa & Muafi, 2022). Throughout this paper, retention
refers to what the business or industry experiences with people leaving, while turnover
intention is what the individual employee experiences when they consider leaving
(Cohen, 1999; Mobley et al., 1979). Furthermore, economic volatility changes the work
environment, causing the workplace to adapt and overcome these unforeseen obstacles
(Choy & Kamoche, 2020). When these variables are introduced to a work team, retention
remains important for all parties involved because the team relies on everyone’s
contribution to remain successful (Schulze & Krumm, 2017). Retention is a primary
focus to optimize the workforce, keep people embedded in their roles, and give
organizations tools to reduce turnover (Choy & Kamoche, 2020). This study investigated
the predictive relationship between perceived organizational support (POS) and job
embeddedness (JE) on turnover intention. POS has been used to predict employees’
intentions of quitting; when POS at an organization is low, employees will have higher
intentions of quitting (Eisenberger et al., 1986; Serban et al., 2021). The job attitude JE
was selected to assess how meaningful work, relationships, and job-fit impact retention
and POS. JE measures the overall fit that an individual employee has to the job and the
community (Ampofo & Karatepe, 2021; Sessa & Bowling, 2020).
How employees view their company’s support is influenced by a variety of
strategies that companies use to help retain their employees. For example, pay, non-
EXAMING POS AND JE 10
financial compensation, work schedule, talent acquisition, job placement, rapport,
supervisor relations, leadership training, professional development, and promotion paths
impact an employee’s level of POS (Serban et al., 2021). Focusing on the employee, JE
helps evaluate their belongingness in their job role and the myriad of relationships
created throughout the business and community, determining what an employee loses
when they leave a job (Thakur & Bhatnagar, 2017). Literature on leadership and
motivation was assessed to further explore the nature of POS and JE. Leadership is one of
the variables that contributes most to POS and motivation and has a great impact on a
person’s intentions of quitting (Zhou et al., 2022). Motivation is a powerful predictor of
JE and retention, while POS and leadership can be used to optimize employee motivation
(Ali & Anwar, 2021). Focusing on Generation Z (Gen Z) workers can lead companies to
optimization as the current workforce is comprised of nearly 25% of this age group
(Pichler et al., 2021). Gen Z’s are people that were born between 1997 and 2013. This
study contributes to the field of organizational study by assessing key variables that
impact retention and direction for future research.
Background
Retention is defined as the company’s ability to keep an individual employed over
a period of time, measured by an individual’s turnover intention (Cohen, 1999).
Retention has been a focal point for organizational researchers and business leaders since
the development of corporate structure and gained more popularity during the industrial
revolution (Sessa & Bowling, 2020). As factories and corporations expanded, the need
for employees increased and companies were forced to adopt hiring, training, and
retention plans to remain competitive within their respective markets (Hopson et al.,
EXAMING POS AND JE 11
2018). These plans remain critical for companies to maintain competitiveness today. In
today’s volatile market, retention is heavily impacted by the addition of new variables
such as remote initiatives, younger generations entering the workforce, or different
supervisor relations. According to the Bureau of Labor and Statistics (2022), the leisure
and hospitality industry hosted over a 50% turnover rate in 2022. Ampofo and Karatepe
(2021) suggested that workers could be better retained by building stronger social
interactions within the workplace while Mashi et al. (2022) explain that organizational
rewards will keep people aligned (retained) with their hotel employer. Both studies
focused on hospitality businesses (hotel staff) and found various data and implications.
Studies have emerged on millennials in the workforce, explaining and
highlighting the differences in generations within a working environment. Nabawanuke
and Ekmekcioglu (2021) encourage companies to focus on work-life balance to maintain
team cohesion amongst age-differentiated employees. The younger employees might not
see eye-to-eye with the older generations because they have different work ethics, the
younger workers are more technologically inclined, and people mesh better with team
members closer in age (Hurtienne et al., 2021). Furthermore, there appears to be a
difference in motivational factors that cause people to leave a company, whereas younger
employees are more willing to leave. The importance of studying this younger
demographic of workers in a service-related job stems from the motivational shifts, to
help explain why they leave their company. Mahmoud et al. (2020) conducted a study on
the different motivations between millennials and older-generation workers and found
that millennials were more motivated by recognition and acceptance. This study focused
on the youngest generation of workers entering the leisure and hospitality industry to help
EXAMING POS AND JE 12
expand the knowledge on retention. This study aimed to understand the phenomenon of
retention; there are currently vastly divergent directions being suggested to the industry.
To minimize the spread of data, research must focus on a certain age group (King et al.,
2021). The 18- to 25-year-old demographic would provide sound data to assess why
younger employees are leaving the company. This age group requires attention because,
in January of 2022, the Bureau of Labor and Statistics (2022) reported the lowest median
tenure (2 years) was in the leisure and hospitality industry, where 19-year-old workers
had less than a 12-month tenure status. These workers hosted over a 50% turnover rate,
which was higher than all the other industries.
Problem Statement
It is not known what variable (POS or JE) best predicts retention in Generation Z
employees working in the leisure and hospitality industry. POS has been widely
researched in the business environment and has been shown to increase motivation and
employee longevity (Caesens et al., 2020), increase affective commitment and
psychological empowerment (Yogalakshmi & Suganthi, 2018), while increasing
innovative behavior and social exchange (Nazir et al., 2018). As POS explores the
employee’s perception of how the company looks after them, JE examines the wide range
of job and community variables that keep an employee retained (Dechawatanapaisal,
2018). There is a gap in the research on the level of prediction that POS and JE have on
retention, and both have been shown to be greatly valued by the Gen Z population
(Agrawal et al., 2022; Arici et al., 2023; Pramana et al., 2021). Previous studies have not
compared POS and JE side-by-side as predictors of retention in the leisure and hospitality
industry, specific to the Generation Z employees. This study was needed to showcase the
EXAMING POS AND JE 13
predictive weights of POS and JE on retention, giving business leaders and researchers
data on whether organizational support (POS) or job and community factors (JE) are
more important to the younger generation. For example, the analysis for this study is set
to identify which variable best predicts turnover intention, which could lead businesses to
improve those areas and ultimately better retain staff. The findings contribute to the
understanding of workplace dyads that lead people to quitting by highlighting the more
predictive variable (Huning et al., 2019), offering researchers a luminous direction for
future studies of retention. Jolly and Self (2020) recommend focusing on lower-level
employees, specific to the leisure and hospitality industry while King et al. (2021) add
that younger workers (age 18-25) should be examined to better understand their
perception of the company and why they leave a company. POS and JE require further
research because they are two main factors causing turnover in the younger generation,
and the Gen Z population is entering the workforce in full stride (Bryngelson & Cole,
2021).
Purpose of the Study
The purpose of this quantitative correlational study is to examine the weight of
prediction that Perceived Organizational Support and Job Embeddedness have on
employee turnover intention. This study focused on employees who are 18 to 25 years
old working within the leisure and hospitality industry in America. This study aimed to
identify the level of prediction that POS and JE have on young adults' intentions of
quitting, specific to the leisure and hospitality industry.
EXAMING POS AND JE 14
Research Question(s) and Hypotheses
Research Questions
RQ1: Does perceived organizational support predict turnover intention in Gen Z
personnel working in the leisure and hospitality industry?
RQ 2: Does job embeddedness predict turnover intention in Gen Z personnel
working in the leisure and hospitality industry?
RQ 3: Between perceived organizational support and job embeddedness, which is
the stronger predictor of turnover intention in Gen Z personnel working in the leisure and
hospitality industry?
Hypotheses
Hypothesis 1: Perceived organizational support predicts turnover intention in Gen
Z personnel working in the leisure and hospitality industry.
Hypothesis 2: Job embeddedness predicts turnover intention in Gen Z personnel
working in the leisure and hospitality industry.
Hypothesis 3: Perceived organizational support is the stronger predictor of
turnover intention in Gen Z personnel working in the leisure and hospitality industry.
Assumptions and Limitations of the Study
During data collection, it was assumed that the participants answered honestly
without any outside influence. This study relied on the participants to answer honestly
because it was structured to evaluate the individual’s perception of how they are treated
in their role at work. If they fear there will be repercussions if they answer a certain way,
the data may not be accurate. Participants were reminded that the data will not be shared
with employers and personal data will not be collected (name, job title, employer, etc.).
EXAMING POS AND JE 15
The study parameters were addressed and the participants were informed that their
honesty could potentially benefit future adults entering the workforce, and they were not
asked any identifiable questions to ensure their identity remains anonymous. There are
potential confounding items that could skew the data such as individuals who work for
companies that recently gave bonuses, new promotions, or the employee is relatively new
and has not yet established a relationship with supervisors. This study focused on their
current employer and did not account for previous work experiences. To combat this
potential limitation, this study was structured to evaluate the predictive impact of POS
and JE on retention within their current employment.
There are a few known limitations of the study design, industry, and target
audience. This study is a quantitative correlational design that assesses the relationship
between variables. Limitations exist because the research cannot further explore a
respondent’s answers to the question. This specific study was best assessed using the
quantitative design to obtain empirical, numerical data. The leisure and hospitality
industry has some potential limitations because the industry is broad. This study was
structured to benefit from the broad range (disseminating the survey to large service-
related groups) of companies that comprise the industry because generalizable data was a
priority. Within the industry, companies have a monumental difference in customer
volume, interaction, size, location, etc. Respondents may have answered the survey
differently depending on the volume of customers or other variables that impact
motivation on that given day. For example, a server who filled out the questionnaire on a
Monday versus a busy Saturday might have given different results.
EXAMING POS AND JE 16
This study benefited from the variety of respondents within this industry because
the aim was to achieve generalizable information for all industries. Focusing the research
and data collection on younger employees offered some limitations because they might
not have any other previous work experience, their maturity levels differ, or their
employment status (part-time vs. full-time) may vary. Despite the potential limitations,
this study offered the best results by obtaining a variety of participants throughout the
leisure and hospitality industry. It also provided empirical data on current organizational
variables that impact retention. This study relied on participants’ perceptions of their
company, relationships, and job fit to best acquire generalizable data to combat
worldwide retention issues.
Theoretical Foundations of the Study
This study focused on the predictive impact between perceived organizational
support (POS) and job embeddedness (JE) on retention. Blau’s (1964) social exchange
theory best explains the relationship between the individual employee and their employer.
In this theory, Blau (1964) explains that people’s reactions or involvement will be a
reciprocation of their surrounding social environment. In the presence of a workplace,
people will gauge their relationships based on what is reciprocated by other coworkers.
POS’s theory is founded by Eisenberger et al. (1986), which progresses the social
exchange theory by adding the thought that employee retention is directly impacted by
the perceived level of support they receive from their supervisor and company.
Furthermore, Eisenberger et al. (1986) explained that people will leave their company if
they feel their efforts are not matched, if they do not feel supported by the company, or if
their values are not the same as the company’s. Meaning, if the offerings of a company
EXAMING POS AND JE 17
are not equal to a person’s performance, or a perception of their performance, they will
not feel that their company values their efforts (Eisenberger et al., 1986). The
combination of both theories helps align the research to investigate the employee’s
anticipated recognition for completing a task. When the task is done, an employee might
feel that their efforts should be reciprocated (Blau, 1964), and expect that their supervisor
will show them gratitude (Eisenberger et al., 1986).
This study expanded upon what is known about the popular phenomenon of
retention. Deci and Ryan’s (2000) self-determination theory (SDT) focuses on the
employee’s motivation as derived from their leader’s intent. The three main pillars that
Deci and Ryan (2000) present are autonomy, relatedness, and competence. Autonomy is
established when supervisors trust their employees to carry out tasks; relatedness covers
the relationship between the leader and follower; and competence is the employee’s self-
assessment of their capabilities. If these three pillars are fulfilled, the worker will remain
motivated and ultimately retained. SDT pairs well with the social exchange and POS
theory because the relationship between the leader and the follower impacts one’s
motivation. This is important because this study aimed to specifically examine the weight
of POS and JE as predictors of retention. Both variables are greatly comprised of
leadership implications and the individual’s level of work motivation. Eisenberger et al.’s
(1986) POS theory, Blau’s (1964) social exchange theory, and Deci and Ryan’s (2000)
SDT best aligned this study to progress the understanding of variables that impact
retention in the contemporary workplace. The biblical perspective used to guide this
research stems from Wolters’ (2005) suggestion to seek out the truths in all things. This
EXAMING POS AND JE 18
study was designed to identify whether POS or JE is the stronger predictor of an
employee’s turnover intention.
Definition of Terms
The following is a list of definitions of terms that are used in this study.
Job EmbeddednessJob embeddedness (JE) is defined as an individual’s link, fit, and
sacrifice to their job and community. JE has two categories: on-the-job embeddedness
and off-the-job embeddedness. On-the-job explores the individuals’ relationships within
the workplace, fit to their job (knowledge, skills, abilities), fit to the social context of the
team, and what they would lose if they left the company (sacrifice). Off-the-job
embeddedness covers the individuals’ at-home life, their link to the community, friend
groups, social groups, community involvement, and what they would lose from leaving
that community (Burrows et al., 2022; Crossley et al., 2007; Fasbender et al., 2019; Sessa
& Bowling, 2020).
Perceived Organizational SupportPerceived organizational support (POS) is defined
as the individual’s perception of how their employers support them. Support is job
security, financial compensation, supervisor relationships, promotion path, clear goals,
fair treatment, and equal opportunity work environments (Eisenberger et al., 1986;
Eisenberger et al., 2014; Rhoades & Eisenberger, 2002).
RetentionRetention is defined as the company’s ability to keep an individual
employed over a period of time, measured by an individual’s turnover intention (Mobley
et al., 1979).
EXAMING POS AND JE 19
Turnover Turnover refers to employees who quit their jobs and is defined as the
number of people who leave the company during a period of time (Omanwar & Agrawal,
2020).
Turnover IntentionTurnover intention refers to an employee’s willingness to leave a
job and is defined as an individual's level of intention of leaving their current
employment (Cohen, 1999).
LeadershipLeadership refers to a person of power within the workplace (e.g.,
manager, supervisor) and is defined as the act of engaging with individuals to motivate
them to achieve a common goal (Huning et al., 2019; Quek et al., 2021; Van
Dierendonck & Nuijeten, 2011).
MotivationMotivation refers to the individual within the workplace and is defined as
the individual’s willingness to engage with others, the effort they put into their work, and
their workplace motivational needs (Deci & Ryan, 1985; Gagne et al., 2014).
Significance of the Study
This study contributed to society and future research by providing empirical data
on the perception of low-level employees within service-related jobs in the leisure and
hospitality industry. This study expanded upon the antecedent findings from Eisenberger
et al.’s (1986) POS theory by focusing on the employee’s perception of company support,
related to a specific job attitude (job embeddedness), at the lower level. Herr et al. (2019)
explain that when people feel more supported by their employer, they will become more
embedded in their role. This study highlighted the importance of organizational support
and ensuring that people have meaningful tasks to keep them retained. Blau’s (1964)
EXAMING POS AND JE 20
social exchange theory was expanded upon by examining the overall relationship
between employer and employee.
Business leaders can benefit from the findings by seeing what motivates the
younger workers and how they perceive the job and company. These findings can offer
predictor variables to measure future alignment. Furthermore, examining predictors of
retention will give companies insight into potentially effective leadership strategies, how
to retain the younger workforce, and solutions on how to optimize the workforce in the
service industry. Focusing on the leisure and hospitality industry maximized the findings
and contributions because this industry had the highest turnover rate in 2022 (U.S.
Bureau of Labor Statistics, 2022). Akgunduz and Sanli (2017) found POS and JE to be
positively related to hotel employees, based in Turkey. Expanding on their findings and
answering their call to future research, this study obtained data on a larger basis of
hospitality-related industries. The American market categorizes the leisure and hospitality
industry into one entity (U.S. Bureau of Labor Statistics, 2022). In such competitive
markets and diverse workforces, companies are required to remain adaptive, ensuring that
they are creating the best work environment for their employees (Ampofo & Karatepe,
2021). This study may pave the way to retention solutions related to younger employees
and contribute to organizational psychology literature. Furthermore, business leaders will
benefit from reading the results of this study because it provided insight into POS, JE,
and retention in their Generation Z workers.
Summary
Perceived organizational support and job embeddedness require additional
research to further examine retention, the strength of the prediction, and how businesses
EXAMING POS AND JE 21
can use these variables to create a better work environment (Jolly & Self, 2020). The
American leisure and hospitality industry is a massive industry with one of the highest
turnover rates (U.S. Bureau of Labor Statistics, 2022). Focusing on this industry provided
sound empirical data on retention issues, providing insight into how to reduce turnover
(Akgunduz & Sanli, 2017; Ponting & Dillette, 2020). Diversity is becoming more
relevant in the common workplace because people are becoming more open with their
sexuality, how they identify, and what sets them apart from others (Caesens et al., 2020).
This study evaluated the younger employees in the workforce, offering generalized
information on how people currently view their employer, what motivates them, and why
they are quitting their jobs.
There are many influences that impact a team’s outcome. In a workplace team
dynamic, outside factors such as economic shifts, customer motifs, or community
involvement impact how people perceive their organization and their motivation to work
(Choy & Kamoche, 2020). Internal factors such as leadership, promotion, job roles, and
relationships further drive people’s view of organizational support (Muhammad et al.,
2020). This study focused on retention through POS and JE because it covers both
internal and external factors that cause people to quit their jobs (Huning et al., 2019).
Leadership has a monumental impact on employee engagement, embeddedness,
perception of support, and retention (Hill et al., 2014; Quek et al., 2021; Wang et al.,
2022). Motivation is the driving factor in how people act within their role, how satisfied
they are at work, and if they will leave the company (Ali & Anwar, 2021; Deci & Ryan,
2000). Literature on leadership and motivation will be assessed to further explore what is
known about POS and JE. The overall intent is to progress what is known about retention
EXAMING POS AND JE 22
in organizational psychology while expanding on the theoretical frameworks of the social
exchange theory, SDT, and POS theory.
EXAMING POS AND JE 23
CHAPTER 2: LITERATURE REVIEW
The modern workforce endures inevitable change as the economy cycles, social
normality shifts, technology advances, and new leaders emerge. Corporations are tasked
with adapting to these shifts to ensure their company remains profitable, competitive, and
valued (Saks, 2019). In such competitive markets, retention remains a top priority for
business leaders and researchers because workers have a plethora of job options (Kroll &
Tantardini, 2019). If an employee feels that they are not valued by their current employer,
they can seek job opportunities at direct competitor businesses (Choy & Kamoche, 2020).
With similar brands (e.g., McDonalds vs. Burger King), the employee will seek a job that
supports them financially, mentally, motivationally, and provides them with professional
growth (Deci & Ryan, 2000). Occupational research has focused on the interactions
between employees, supervisors, and the organization to further understand why people
leave a company (Blau, 1964; Hopson et al., 2018). It is important for companies to
retain their employees because it optimizes the workforce, creates consistency within the
team, reduces company spending on training new employees, and can increase the overall
performance of individuals and the company (Choy & Kamoche, 2020). This study aimed
to explore specific variables that impact retention in the contemporary workforce.
Increasing in popularity, perceived organizational support (POS) specifically
examines the employee’s perception of how they are supported by the company. When
POS is high, employees have a lower chance of leaving the company because they feel
that their efforts are appreciated (Eisenberger et al., 1986, 2014). The second variable of
interest is job embeddedness (JE). JE is a workplace attitude that measures a specific
individual’s relationship to their job and community (Sessa & Bowling, 2020). Literature
EXAMING POS AND JE 24
on the younger demographic will showcase the importance of adapting company policies
because generational differences impact job involvement (Thalgaspitiya, 2021). Chapter
2 covers the strategy used to obtain sources, what is currently known on the variables
selected for this study (POS, JE, and retention) in current organizational research, and the
biblical foundation for this study.
Description of Search Strategy
Research was primarily sourced through the Jerry Falwell online library at Liberty
University. Google Scholar was also used to source articles. The search terms utilized
throughout the course of research were job embeddedness, perceived organizational
support, retention, leadership and POS, motivation and POS, employee motivation and
retention, Gen Z, hospitality, used in a variety of combinations to maximize the relevancy
and quantity of results. For example, a search term would appear as follows: job
embeddedness and perceived organizational support, leadership, and perceived
organizational support. The two main variables POS and JE have many studies relating to
job satisfaction, and the priority of research was to find previously determined links
between the two variables (Yang et al., 2019). Within the database of the library, the
Mental Measurements Yearbook was used to assess the measurements used in studies and
to select measures for this study. Delimitations were set to ensure that articles were less
than three to five years old, except for antecedent or theory-based articles supporting the
study. Biblical research was aligned with the integrated approach which allows the
researcher to emulate the Lord’s character traits, while using scripture to explain the
relevance of biblical findings to the topic (Johnson, 2010). This research brought a
EXAMING POS AND JE 25
valuable explanation of the variables to society (Wolters, 2005). It also highlights
solutions to optimize people's time in the workplace.
Review of Literature
Previous literature has covered a variety of organizational phenomenon related to
retention. This section starts with an introduction to the generation under review, then
proceeds to the evolution of the workplace, how diversity has influenced change in the
workplace, how teamwork impacts retention, and the influence that leaders have. Next,
this section explains what is known about the variables selected for this study. It is
structured so that each variable is expanded upon individually and associated with the
other variables. For example, this section provides what is currently known about POS,
including the foundational factors of POS (leadership and motivation), and how POS is
impacting the Gen Z population and the leisure and hospitality industry. The literature
explains POS as an individual variable and the impact that it has on retention. JE is also
explained as an individual variable, the impact it has on retention, and the cohesion it has
with POS. Leadership and motivation are added to this section because they are some of
the largest contributing factors to POS, JE, and retention. This section was structured in
such a manner to showcase the similarities between the variables, and why it is important
to treat them as individual variables to further the understanding of retention.
Generation Z
Organizational psychology requires continuous research because different
variables are presented in the workforce and they need to be further explored to fully
understand the implications. In this case, the targeted phenomenon is retention. The new
wave of employees entering the workforce requires direct attention to further what is
EXAMING POS AND JE 26
known about retention. This generation is the Generation Z (Gen Z) population born
between 1997-2013 (Holly, 2019). There are core variables studied in organizational
psychology specific to retention, motivation (intrinsic, extrinsic, group, individual),
leadership (throughout the hierarchy of the business structure), employee relations
(varying by the size of the team and business), different generations entering the
workforce, etc. (Griffin et al., 2020). The workplace has drastically changed over the
years because of social media, demand, technology, and market competition (Satter,
2019). For example, remote work offered a new perspective for managers to maintain the
team’s integrity, create new policies to ensure that people remain motivated, and
showcase support by offering insight into employees’ work-life balance (Eddleston &
Mulki, 2017). The workplace was driven by technology, with the pandemic as a catalyst,
to adopt the remote initiative. Alongside technological advancements, the generation of
young adults entering the workforce were raised using these advancements and expect to
use them in their workplace. The above-mentioned Gen Z employees entering the
workforce require examination to help businesses adapt, lead coworkers to a better
understanding of how to work with this generation, and educate Gen Z about what to
expect when entering the workforce.
Generation Z in the Contemporary Workplace
As technology revolutionizes the workforce, the generation of workers born
alongside technological advancements will quickly adapt and optimize the workforce
(Ganguli et al., 2022). According to Bryngelson and Cole (2021), there could be nearly
60 million Gen Z personnel entering the workforce over the next decade. As this age
group enters the workforce, retention could be impacted because there is a
EXAMING POS AND JE 27
communication barrier between the generations, social interactions are different from
what the older generations are used to, and motivational drives differ throughout the team
(Khairunisa & Muafi, 2022; Mahmoud et al., 2021; Rodriguez et al., 2019). Miller (2018)
mentioned that this age group is having a difficult time integrating with the current
workplace because they lack social awareness, the in-person team dynamic is stressful to
them, and they are not as comfortable with public speaking. The leisure and hospitality
industry has one of the highest turnover rates comparatively (U.S. Bureau of Labor
Statistics, 2022); Gen Z workers are going to add to the retention issue or not join the
industry if they feel unwelcome (Bryngelson & Cole, 2021; Pramana et al., 2021). This
presents a monumental issue for the workforce because industries will have staffing
issues if the next generation of workers only enter tech-based industries.
Gen Z is the focus of this study because there is a lack of research on their
generation as they enter the workforce. This is because they have been in the workforce
for less than a decade. The drastic difference in the generations is highlighted in current
workplaces, making team cohesion and retention a recurring issue (Bryngelson & Cole,
2021). This generation currently faces issues with adapting to the current workforce.
They are having trouble conforming to older leadership styles and they are more prone to
leaving a company (Pramana et al., 2021; Rodriguez et al., 2019; Satter, 2019). Gen Z
employees have difficulty adapting for a variety of reasons. Reasons range from their
perception of organizational support to their overall view on environmental issues
(Pramana et al., 2021). Pramana et al. (2021) explains that Gen Z people have a high
concern for climate change and other societal issues, ultimately changing how they
perform at work. Their work performance, to include team cohesion, has become an issue
EXAMING POS AND JE 28
because they are more concerned with outside influences and will leave a company if
their opinion is not valued or supported (Bryngelson & Cole, 2021; Pramana et al., 2021).
Furthermore, Gen Z employees are not the easiest to lead because they are already
planning for their next job, they are impatient, and they do not have a tolerance for
inefficient technology within the company (Rodriguez et al., 2019). This presents an
issue on both the employee and employer side because without cohesion, both parties will
not value each other’s opinions, trust will not exist, and companies will refrain from
promoting them (Deepika & Chitranshi, 2021). Without a promotion path, these younger
employees will immediately leave the company and find employment elsewhere
(Agrawal et al., 2022; Rodriguez et al., 2019). Gen Z employees are facing cohesion
issues within the work environment because they are not fully understood.
A generation raised on technology will have different perceptions of
organizational support, have alternate ways of becoming embedded with their roles,
motivational needs may vary, and the leadership required to keep them retained is not the
same as other generations. The workplace continues to have Gen Z employees entering
and changing the team dynamic. Kortsch et al. (2022) explain that organizations can
think outside of the box to help employees adapt to change, incentivize them, and create
happiness in the new structure. During these changes to the workplace, there are
companies that thrive, while other companies are unable to adapt. Through the different
generations that comprise the workforce, there can be a communication gap because there
are various preferences in the communication channels (Agrawal et al., 2022). Gen Z
workers are now entering the workforce and being forced to adapt to corporate standards.
This is drastically different from the Gen Z normality because they were born and raised
EXAMING POS AND JE 29
in a social media boom, making them more comfortable communicating through a screen
rather than face-to-face interactions (Schroth, 2019). A workplace with a communication
barrier will have productivity halted, ultimately contributing to turnover (Khairunisa &
Muafi, 2022). The younger generations that enter the workforce drastically differ from
the more senior workers and require different approaches to keep them retained
(Hurtienne et al., 2021). Research will remain necessary to help describe and understand
phenomenon that causes retention numbers to fluctuate. The purpose of the next three
sections (diversity, teamwork, and influence) is to show what common workplaces
endure and how the gen Z population requires additional research.
Diversity
Over the years, diversity has become a more common topic in the contemporary
workplace because people are more open with their sexuality, race, and how they identify
(Cancela et al., 2022). Additionally, the newest generation of employees (Gen Z) are
diverse in their own way due to the availability of technology throughout their childhood,
their concern with the environment, and their approach to problem solving (Pramana et
al., 2021). Diversity comes in a variety of forms, all requiring different strategies to
optimize the potential outcome. Hurtienne et al. (2021) found that younger generations
require a different approach to maintaining work engagement; companies can no longer
conduct a mass hiring and expect Gen Z workers to feel supported and motivated to
work. Agrawal et al. (2022) conducted a study on the different generations within a
workforce and found a great difference in retention based on employee’s level of job
embeddedness. Diversity is a monumental factor in the workplace because people
gravitate toward similar individuals in social groups (Tajfel, 1978). Ng and Sears (2018)
EXAMING POS AND JE 30
found that companies must fulfill two portions of diversity initiatives: clear policies set in
play and following up with the policies making people feel comfortable in their roles.
Meaning, companies cannot just market that they are an equal opportunity workplace,
they must follow through with their policies and create a positive diversity climate that
makes everyone feel welcome (Jolly & Self, 2020). To generalize diversity in the
workplace, companies must show their support to all their employees, ensure they give
individuals a voice, and properly assign people to a role that optimizes their knowledge,
skills, and abilities (Cancela et al., 2022).
Teamwork
Businesses seek to reach the highest level of performance, remain competitive
within their industry, and maximize profits. As work teams become more diverse, there
could be a potential for friction points within the staff, leading to an overall decrease in
the company’s efficiency (Saks, 2019). To remain competitive, companies must properly
assess their employees and put them in a role where they will succeed (Ju et al., 2021).
Wu and Wu (2019) explain the importance of employee engagement to increase
innovative behaviors. Employees who are not in their preferred role might only act
friendly and cordial to their peers to get through the day. If the person was engaged, had
fulfilling work, and wanted to be there, healthy professional relationships would form and
optimize the team’s work (Smith et al., 2021; Wu & Wu, 2019). When a team gains a
new member or an outside force influences change, the team endures a cycle of
adaptation (Tuckman, 1965). As the new generation with diverse traits and qualities
enters the workforce, organizations will restart the cycle of team building. Tuckman’s
(1965) theory on team development supports the need for future research in
EXAMING POS AND JE 31
organizational psychology on retention, how people fit within their roles, and how the
company can provide for their employees. Cho et al. (2018) discuss the importance of
employees seeking to fit in with social groups and the Gen Z workers using social media
to fulfill their motivational needs. This makes their at-work life different than other
workers because they might be more attracted to their phones, seek social networking
engagement over in-person engagement, and they perceive interactions differently than
other generations of workers (Wood et al., 2022). Furthermore, the social exchange
theory does not evaluate the impact of the job that people hold in their organization.
Influence
There are many influences that impact retention in the workplace inside and
outside of the company’s physical infrastructure. Internal influences are things like
leadership, size of the company, organizational support, funding, pay, promotion paths,
etc. External influences are economic changes, market shifts, competitor performance,
target audience, etc. Focusing on internal influences can increase the company’s
resilience, ensuring that the team can handle any outside change (Duchek, 2020).
Everyone within a workplace adds a different perspective, thought process, and benefit to
the team. Companies must understand their workers by building rapport, properly
aligning their goals, using different leadership styles to motivate younger workers, and
putting them in positions that will play to their strengths (Deepika & Chitranshi, 2021).
Choy and Kamoche (2020) identified destabilizing factors such as employee relations, the
work environment, and the hours (night shift vs. day shift) that people work greatly
contributes to turnover intentions. These facets are influenced by business owners and
managers; they have the power to create a work environment that retains people.
EXAMING POS AND JE 32
Influence will become more important as the Gen Z population consumes the workforce
because they will seek out mentorship (Loring & Wang, 2022). Relationships are
mandatory throughout the hierarchy of the business to properly assess what motivates and
influences people to stay aligned with the company (Dechawatanapaisal, 2018; Deci &
Ryan, 1985; Eisenberger et al., 1986).
Perceived Organizational Support
Perceived organizational support (POS) is the employees’ perception on how the
company supports them, including leadership interaction and organizational commitment
(Tremblay et al., 2019). POS stems from the organizational support theory, which
explains that employees expect reciprocated effort from their employer (Eisenberger et
al., 1986). Employees want to know that their efforts and contributions to the company
are valued and compensated. POS has been found to increase employee alignment,
morale, job satisfaction, and can optimize the overall performance of the team while
predicting retention (Muhammad et al., 2020; Traeger et al., 2022). Factors involved with
POS include the culture created in the workplace, the type of leader, training received,
individuals on the team, and the industry. Culture hosts a high level of importance in the
contemporary workplace due to the vast number of direct competitors (Nazir et al., 2018).
When the barrier to entry is low (minimal requirements to obtain a job within a certain
field), job seekers can shop around and search for a job that satisfies their needs. The
culture of a company is an intangible value created by POS that keeps people motivated
and retained (Guo et al., 2020). In competitive markets, individuals seek the best offer on
paper but will stay with a company longer if they feel supported by their employer.
EXAMING POS AND JE 33
Reciprocated value can be difficult to measure when job roles overlap, standards
are unclear, or cohesion is lackluster. Overlapping job roles can be confusing in the
workplace because an individual might expect to receive recognition for completing a
task, but the supervisor does not know who completed that specific task. When job roles
are defined and the standard is clear, supervisors can adequately showcase their
appreciation. Nazir et al. (2018) found that when companies provide support to their
employees, they show innovative behavior which can lead to higher profits. The
supervisor is a key factor in the POS equation because they have a direct relationship
with the owners and the lower-level employees. It is their job to be a role model, ensure
the culture matches the owner’s intent, and keep the lower-level employees motivated
and retained. Yang et al. (2020) explained that some workers thrive under organizational
support by assisting them with achieving their goals, while other types of employees use
organizational support to keep them aligned with the company’s values. POS has been
shown to predict employee’s intention of leaving a company, making it a high priority for
managers to understand (Arasanmi & Krishna, 2019). It is crucial that employers and
managers provide support and opportunity for their staff to stay retained.
Leadership in Perceived Organizational Support
The impact of leadership on POS is tremendous because the leader is a direct
representation of the organization and has a monumental impact on turnover (Eisenberger
et al., 1986; Quek et al., 2021). Evaluating the literature on leadership was mandatory for
this study to fully understand POS and the impact it has on Gen Z in the leisure and
hospitality industry. Leaders’ actions in the workplace dictate the perception that
employees have about the company (Serban et al., 2021). When leaders establish
EXAMING POS AND JE 34
professional relationships, Yogalakshmi and Suganthi (2018) found that leadership can
provide employees with tools for optimizing their future success. These tools are mental
frameworks that include believing in oneself (self-efficacy), knowing what good
leadership is, providing a resource, and helping establish cohesion in the team
(Yogalakshmi & Suganthi, 2018). For leaders that can create cohesion at the team level,
motivation will increase and production will rise (Everett, 2021). Tremblay et al. (2019)
found that group-level POS establishes more supportive behaviors for the staff to
reciprocate and can create a sound culture. Furthermore, when employees at all levels, to
include the younger generations, feel that their leader has their best interest in mind, they
will be more engaged at work and feel supported (Kolodinsky et al., 2018). Eisenberger
et al. (2014) proposed a link between POS and leader-member exchange (LMX), where
POS and LMX are positively related. Gaudet and Tremblay (2017) explain that
leadership styles that focus on initiating structure cause higher POS levels within their
followers. When leaders support their staff and establish a positive relationship, the staff
members will feel their organization supports them.
Considerations of Leadership on Generation Z
Assessing leaders for promotion is a difficult task that companies endure.
Companies typically promote employees who have been with the company for an
extended period because they have shown their potential, loyalty, matched interest, and
have learned the core values of the company (Hoff et al., 2020). These leaders tend to be
in their later years of employment, meaning they can range from 30 to 50-plus years old.
That specific age group (30-50+ years old) covers two different generations that are
currently in the workforce (adding Gen Z to the workforce makes three different
EXAMING POS AND JE 35
generations). When these leaders are tasked with adapting to the newest trends of
workers, they are forced to use different methods to lead. For example, an entrepreneurial
leader might have an innovative mindset to motivate the team, but the Gen Z employee
might be looking for a more directly supportive leader (Weerarathne et al., 2023; Yang et
al., 2019). Within the potential age gap in a workplace, there could be 55-year-old boss
with an 18-year-old employee. The older generation that is still in the workforce (Gen X)
values outcome, results, and people that work well with them while the Gen Z employee
might be more focused on their individual performance (Waworuntu et al., 2022). There
are contradicting suggestions when it comes to leading the Gen Z population because
Waworuntu et al. (2022) suggest fringe benefits or other extrinsic rewards while
Rodriguez et al. (2019) suggests a promotion path and creating autonomy to retain these
individuals. Future research needs further exploration of which best practices can be used
to lead the diverse generation of young workers.
To optimize retention, the Gen Z population prefers that companies focus on
inclusion and diversity, transparent company values, and leaders who take the time to
explain their positioning (Sherman & Cohn, 2022). A leader’s job can be difficult when
their team is not cohesive. Gabrielova and Buchko (2021) explain that Gen Z workers
require a different approach because they typically have poor interpersonal skills, lack
social awareness, and the leader to member relationship must be more transformative
versus transactional. Nabawanuke and Ekmekcioglu (2021) elaborate on the importance
of identifying age groups because the younger workers could be uncomfortable with in-
person interactions, while the older employees prefer it. Leaders will face new challenges
with the Gen Z population because they will have to become knowledgeable on the
EXAMING POS AND JE 36
technology, empower the younger workers by giving them remote work, and create a
culture that allows the Gen Z employee to flourish (Satter, 2019). Rodriguez et al. (2019)
recommends leaders should empower Gen Z workers when it comes to technology
because it will increase their team cohesion while combating their urge to leave the
company. Meaning, this generation entering the workforce does not have patience for
outdated technology (Rodriguez et al., 2019). Without flexibility, adaptation, and
emotional intelligence, leaders will struggle with creating a positive work environment
for the newcoming Gen Z staff, which could diminish employee engagement and
retention (Rasool et al., 2021). Gen Z workers entering the workforce will challenge
leaders to adapt to Gen Z needs, understand Gen Z perception, and deploy different
motivation strategies.
Progressing Maslow’s hierarchy of needs, Deci and Ryan’s (2000) self-
determination theory (SDT) explains the implications of an individual’s work motivation.
Understanding employee motivation is mandatory to help predict their behavior,
performance, job satisfaction, perception of support, and their retention potential
(Mahmoud et al., 2020). Leaders must build rapport with their followers to gain insight
into what motivates them. Wang et al. (2021) found that leaders who express their goals
and interests help align their employees, creating more committed members who have
higher levels of motivation. When employees are motivated, they are more likely to stay
with a company (Shuck et al., 2021). Of all the leadership styles, some reduce
performance and increase intentions of quitting. Authoritarian leadership has a negative
impact on work outcomes, makes people feel less embedded in their job, and can hinder
their performance (Siddique et al., 2020). In a diverse workplace, leaders must ensure
EXAMING POS AND JE 37
their leadership style is effective, cohesive with the individual’s learning style, and
appropriate to match employees’ motivational needs. For example, Cho et al. (2018)
explain that Gen Z workers prioritize social media more than other generations, making
the workplace communication standard different than what people are used to. When
leaders have a negative strategy, the perception of support will be diminished and people
will seek employment elsewhere (Eisenberger et al., 2014)
Leadership styles that increase POS and JE take the approach of getting to know
their employee, finding out what motivates them, and putting them in a role where they
can succeed (Dechawatanapaisal, 2018; Kolodinsky et al., 2018). Using transformational
leadership as an example, studies have shown that leadership can directly impact an
employee’s level of motivation, support, and performance (Rachmawati et al., 2021).
Balwant et al. (2020) further explain that transformational leadership is best when job
resources and information is available to all employees, making them extremely
motivated at work. Furthermore, Aydogmud et al. (2019) add that when employees
perceive their leader as transformational, they become more motivated and satisfied with
their work. Gomes et al. (2022) suggest that a positive leader is responsible, emulates a
positive role model for employees and stakeholders, and can engage with all levels of
employees. An engaging leader will be able to create cohesion in the workplace, motivate
employees, increase their perception of support, and keep employees retained (Nikolova
et al., 2019). Leadership and the various styles help define POS and turnover intention.
Perceived Organizational Support in Generation Z
Employees’ perceptions of their organizations’ support can be drastically different
throughout the generations that comprise the team. For example, a Gen Z employee and a
EXAMING POS AND JE 38
Gen X employee will not want the same benefits package because they have different
needs (Baldonado, 2018). Gen Z needs differ from the other generations because they
sometimes rely on social media engagement over personal interactions, making their
workplace interactions fragile (Pramana et al., 2021). Pramana et al. (2021) further
explain that Gen Z employees have drastically different perceptions of their company and
supervisor depending on things like green initiatives, social media use, and technology
available in the workplace. The basic principles of POS still apply to all generations, the
only change is that the type of support will have to remain flexible depending on the
employee’s age (Andini & Parahyanti, 2019). In the leisure and hospitality industry,
employees typically work together. Pichler et al. (2021) found that Gen Z employees
have higher anxiety levels when working in groups compared to the other generations.
This can lead to a negative perception of the company if Gen Z workers are forced to
work in groups. A company reliant on group projects will have to restructure its support
system to ensure that the Gen Z employees stay retained. Additionally, Loring and Wang
(2022) revealed that Gen Z workers might appear as individualistic, but they seek
mentorship and support from their supervisor and company. Gen Z perceptions of their
organization drastically differ from the older generations. There is minimal research on
POS and the Gen Z demographic.
Perceived Organizational Support in the Leisure and Hospitality Industry
Akgunduz and Sanli (2017) found POS and JE to be positively related in hotel
employees, based in Turkey. In their study, they mention that future research should
continue to explore participants within this work domain to better understand employee
perceptions. Furthermore, their study greatly supported that POS can be increased by
EXAMING POS AND JE 39
information sharing, which increases JE, ultimately decreasing turnover intention
(Akgunduz & Sanli, 2017). Managers can assume that creating sound POS and JE
policies will predict an employee’s intention of leaving their company. When POS and JE
levels are high, managers can expect lower levels of turnover. Ebrahimi & Fathi (2022)
examined hospital nurses and found that POS led them to being more embedded in their
roles, which ultimately kept them retained. Ponting and Dillette (2020) explained that
luxury hotel staff in Mexico feel that their organizations support them when there is a
mutual level of respect from managers or a family-type bond; too many rules decreased
authentic relationships. Indian hospital staff prefer a leader that goes out of their way to
assist them; it makes them feel that their organization truly values their contribution
(Omanwar & Agrawal, 2020). Goh and Lee’s (2018) study further explains that there is a
lack of research covering Gen Z's perceptions of working in the hospitality industry. The
purpose of this paragraph is to showcase the wide range of global research on POS in the
leisure and hospitality industry. It is evident that there is a lack of research on the
predicted impact of POS and JE on retention, especially in the American leisure and
hospitality industry.
Job Embeddedness
According to Sessa and Bowling (2020), job embeddedness (JE) is a myriad of
forces that influences an employee’s decision to stay with their company. Furthermore,
JE is a workplace attitude that covers a person’s fit, link, and sacrifices made in their role
at work. Fit covers individuals’ cohesion with their workplace and their community
(Sessa & Bowling, 2020). Link for JE involves individuals’ relationships built in their
work setting and their at-home life (Smith et al., 2021). This understudied phenomenon is
EXAMING POS AND JE 40
divided into two categories that best assess intentions of quitting: on-the-job (OTJ) and
off-the-job (OFJ) (Sessa & Bowling, 2020). OTJ embeddedness covers the target’s
relationships built with other staff members, how they integrate with the team (cohesion),
and what they would do if they were to quit their job. OTJ embeddedness leads to higher
levels of retention because an employee’s link to the job is strong, making them
emotionally attached and less likely to leave (Burrows et al., 2022). Sessa and Bowling
(2020) explain that links associated with OTJ embeddedness are autonomy, fulfilling
work, clear standards, and challenging tasks that keep workers engaged. JE should be
further examined and taught to business leaders so they can understand the importance of
job fit to optimize their employees’ job performance and satisfaction.
OFJ embeddedness addresses work-life balance, community involvement and
support, and the social support system created outside of work. Using the same three
pillars, organizations can assess an employee’s retention potential through their fit, links,
and sacrifice outside of work (Sessa & Bowling, 2020). When people mesh well with
their community, they are involved with things outside of work, have family in the
geographical area, and have larger friend groups outside of work. They will have higher
retention potential because they will not want to lose those connections (Thakur &
Bhatnagar, 2017). Business leaders must be educated on JE to help retain employees,
create a better workplace for them, and give them the tools they need to be successful
outside of work. Smith et al. (2021) explained the importance of identifying employees
who have higher levels of JE because of their potential job performance, alignment,
commitment to the organization, and pride in their work. When people enjoy their time at
work and have meaningful tasks, their workplace well-being is infectious and can lower
EXAMING POS AND JE 41
people’s intentions of quitting (Khairunisa & Muafi, 2022). JE is a workplace
characteristic that can be used to assess individuals’ likelihood of leaving the company
outside of what POS measures.
Job Embeddedness and Perceived Organizational Support
Eisenberger et al.’s (1986) findings on employee perception showed that
employees are more engaged with their work when they feel their company values their
efforts. There are limited studies that focus on the relationship between POS and JE. Both
workplace constructs evaluate two main players in the workplace, the perception of the
organization and the employee (Eisenberger et al., 1986; Nazir et al., 2018). These
constructs directly relate to an employee’s intentions of quitting and should be examined
together to further develop retention strategies. Akgunduz and Sanli (2017) found that
POS is positively related to JE in hotel staff members. In support, Ebrahimi and Fathi
(2022) found that JE is a positive moderating variable to POS and job crafting. When
people are embedded in their job, POS can help optimize their performance by providing
them with an opportunity to display their true potential. Meaning, a company that
supports its employees will assess their knowledge, skills, and abilities (job crafting) to
properly fit them within the organization (Ebrahimi & Fathi, 2022). Separately, these two
variables have been shown to predict intentions of quitting. There are no current studies
that address which of the two variables is the stronger predictor in the leisure and
hospitality industry.
Work Motivation from Job Embeddedness
Employee motivations shift throughout the duration of their employment.
Consistent examination is mandatory to ensure that employees stay embedded in their
EXAMING POS AND JE 42
roles. JE is an important variable to examine for motivation because it covers both the job
and home traits of a target employee. These traits endure shifts in motivation for various
reasons. Further dissecting levels of motivation will help researchers and managers
predict intentions of quitting (Lyu & Zhu, 2019). Motivational theories separate
employees into two categories: intrinsic and extrinsic. Individual workers hold different
motivations; understanding their level of JE can help managers identify motivational
needs (Lyu & Zhu, 2019). When organizational JE is high, managers will be motivated
and take more responsibility for their worker’s performance (Mashi et al., 2022). The
culture of the workplace is extremely important. When people have defined roles and
empowerment, they will remain motivated at work (Deci & Ryan, 2000). Work
motivation will consistently shift as new variables are introduced to the workforce. These
shifts can impact an individual’s level of motivation, altering their overall level of JE and
potentially causing them to leave a company.
Job Embeddedness in Generation Z
Agrawal et al. (2022) found that Gen Z workers were less likely to leave a
company if they had a positive link to their organization. The leisure and hospitality
industry may have difficulty retaining Gen Z employees because they would rather work
in the tech industry (Rodriguez et al., 2021). Meaning, it would be more difficult for a
Gen Z worker to become embedded in their role at work if they prefer a completely
different job. To ensure that employees stay embedded in their roles, incentives packages
should be flexible so employees could benefit from alternate packages depending on what
age group they belong to (Deepika & Chitranshi, 2021). To assist with enhancing
employee relationships in the workplace, Akkermans et al. (2019) recommend that
EXAMING POS AND JE 43
companies should focus on their human resources initiatives. Hassan et al. (2022) explain
that different age groups in the workplace can be influenced through various rewards and
incentives, which ultimately increased their levels of job embeddedness while other
studies suggest that Gen Z employees just want meaningful work (Popaitoon, 2022).
Younger workers’ link to their company was strengthened when they received an
increase in pay (Hassan et al., 2021). Understanding the difference in employee age
groups will assist companies in creating initiatives that keep people embedded in their
roles.
It is extremely important for companies to identify employees’ motivational
needs so they can properly align them to a role, increase their JE, reduce the chance of
them feeling discriminated against at work, and give them purpose (White et al., 2022).
To ensure that people feel comfortable at work, social dynamics should be considered.
Aziz et al. (2021) explain that the work environment can be enhanced through clear
expectations, sound leadership, and using a communication style that everyone supports.
When the work environment promotes productivity, people will automatically become
more embedded in their roles and trust that everyone is pulling their own weight (Smith
et al., 2021). JE is an important variable to study within the Gen Z population because
they truly care about their community and the environment (Pramana et al., 2021). If the
workplace promotes good habits that benefit the surrounding community, current global
issues, and social trends, the Gen Z demographic will become more embedded in their
job (Agrawal et al., 2022). There is a need for future research in this age group on JE to
further what is known on the fit, links, and sacrifices that employees create in their lives.
EXAMING POS AND JE 44
Mahmoud et al. (2020) explain that people born in different generations will have
alternate means of motivation. People who were born alongside the technological
revolution may have extremely different motivators than a person who was born in an
earlier generation. For example, Mahmoud et al. (2020) found that millennials are
motivated by recognition and praise while Baldonado (2018) found that Gen Z employees
are demotivated by recognition. Baldonado (2018) stated that Gen Z workers are highly
motivated with promotion path opportunities. Additionally, Graczyk-Kucharska (2019)
explains that Gen Z employees might have increased motivation when assigned tasks that
involve technology use. This age group prefers delicate leadership and motivation styles
because they seek promotion paths but will also require social guidance, support in
mental health, eco-friendly initiatives and finding work that they thrive in (Gabrielova &
Buchko, 2021; Pramana et al., 2021). Holly (2019) further explored Gen Z in the
workplace, stating that they are fearful, are prone to blaming others for their mistakes,
and are also motivated by other employee’s achievements. There is a broad range of
things that motivate the Gen Z population. It will take specific leadership and cultural
actions to optimize their success in the work environment (Goh & Lee, 2018).
A population that can be motivated through the technology and empowerment of
the company adds a new method of creating team cohesion (Graczyk-Kucharska, 2019).
With technology comes the new social media networks that have taken over the
marketing industry. This impacts Gen Z’s motivation and levels of embeddedness in the
workplace because they are starting to feel pressure from companies. Companies are
targeting young adults using highly visual advertisements via social media to attract and
sell their products to the Gen Z population (Jacobsen & Barnes, 2020). Never has a
EXAMING POS AND JE 45
demographic been targeted in this manner, making their social media engagement
extremely difficult to understand. A generation of workers that specifically uses social
media as their primary means of communication also finds strain in their usage, making
each individual Gen Z employee unique in where their motivational level exists.
Meaning, a Gen Z employee that is finding pressure in their social media usage, can have
diminished self-determination (Herriman et al., 2023). Deci and Ryan (2000) explain that
self-determination is a root function of an employee’s motivation, where motivation
impacts level of JE and turnover intention. Herriman et al. (2023) expanded on their
findings and suggest that social media networks can negatively impact an employee’s
relatedness within the workplace because they care more about their online appearance.
When an employee has lower levels of determination, it will deteriorate their level of
embeddedness leading to turnover.
As previously established, motivational needs differ throughout generations.
Mahesh et al. (2021) showcase the difference in the generations by stating that Gen Z
workers value success opposite of the older generations, and they also value careers less
than the older generations. Technology being the catalyst to organizational change, future
research is mandatory to explore the new phenomenon entering the contemporary work
domain. Gen Z adds the most difficult adaptation to the workforce because they are
knowledgeable on tech and thrive in flexible work environments, yet they still want
supportive leaders (Waworuntu et al., 2022). Additionally, a workplace adopting new
technology should consider how it makes their employees feel because Kortsch et al.
(2022) found that digitalization made employees more motivated, happier, and assisted in
EXAMING POS AND JE 46
achieving self-actualization. The Gen Z population will greatly benefit from a study that
evaluates the strength of JE and POS as predictors of retention.
Job Embeddedness in the Leisure and Hospitality Industry
Job embeddedness in the hospitality industry is an understudied phenomenon that
lost traction during the Covid pandemic (Arici et al., 2023). Arici et al. (2023) explain
that future research is required in this industry, specific to JE, because it is viewed as a
predictor to retention, but it has yet to be explored alongside organizational support and
other antecedent theories. King et al., (2021) calls for future research to assist the
hospitality industry with talent management and retention strategies. King et al. (2021)
suggest that this industry has difficulty retaining all levels of employees because growth
(promotion) is difficult, there are more stable work opportunities in other industries, and
the overall career choice of the service industry is less attractive than others.
Additionally, Shibiti (2019) revealed that retention factors such as career development
and training led public school teachers to establish a stronger link to their job, making
them want to stay. Mashi et al. (2022) found that support from other workers, trust,
promotion path, and organizational rewards predicted JE in Nigerian hotel workers. In
support, Ampofo & Karatepe (2021) identified on-the-job embeddedness in Ghanaian
hotel employees decreased intentions of quitting. There is a lack of research on whether
JE or POS better predicts turnover in the American leisure and hospitality industry.
Retention
Retention in this study refers to the company’s ability to keep employees retained
over time (Mobley et al., 1979). Retention is a well-explored phenomenon in
contemporary organizational psychology because it factors in retention rates (number of
EXAMING POS AND JE 47
people that have left a company over a specific period), employees’ intentions of quitting,
and strategies to help combat turnover (Hopson et al., 2018; Mobley et al., 1979). The
leisure and hospitality industry has great difficulty retaining people, especially the
younger generation because they are keen on job hopping and finding work in other
industries (Bryngelson & Cole, 2021). Employment in other industries is becoming more
attractive to job seekers because technology is taking over, working from home is
increasing in popularity, and people are becoming more comfortable with digital
communication (Arici et al., 2023; King et al., 2021; Satter, 2019). Predictors of retention
will lead managers and business owners to create sound policies that establish a positive
culture.
Retention and Perceived Organizational Support
Turnover has been a focal point for organizational psychology in recent years
because industries are becoming more competitive while the workplace becomes more
diverse. POS is a valuable tool that can be used to assess the company’s value proposition
through the eyes of the employee (Eisenberger et al., 2014). Organizational support is
mandatory in the contemporary workforce because people thrive off affirmation, equality,
and fair compensation (Nazir et al., 2018). When these facets are not fulfilled, Lyu and
Zhu (2019) found that staff members will become burnt out, motivation will decrease,
and the workplace will remain unproductive. Companies that enforce POS practices
(leadership development, fair compensation, flexible schedules, etc.) have higher levels
of employee alignment, increased retention, shared vision, and optimized performance
(Yogalakshmi & Suganthi, 2018). Retention issues must be continuously researched due
to the vast variety of job attitudes, economic shifts, and relationships created in the
EXAMING POS AND JE 48
workplace. For example, Griep and Bankins (2022) found that changes in the relationship
between employees and the company shift over time, which changes the employee’s level
of POS. When companies adopt new technology, they will endure a shift in normality.
POS can assist companies with embracing change. When the employees feel that they are
supported, adapting to a new work environment such as a remote workplace can be easily
achieved through POS to accommodate worker’s needs (Eddleston & Mulki, 2017).
Employees with higher levels of POS will trust that the change is good, resulting in
efficient adaptation to the new change.
A contributing factor to POS and retention is employee motivation. In the
workplace, work motivation can aid in predicting employee behaviors, perception of
support, obtaining goals, increasing profits, and measuring turnover intention
(Kolodinsky et al., 2018). Employees’ level of workplace motivation directly impacts
their performance, perception of the leader, turnover intention, and perception of their
organization (Lyu & Zhu, 2019). Gagne et al. (2015) explain that workplace motivation
stems from Deci and Ryan’s (2000) self-determination theory, stating that individuals
increase motivation through autonomy, relatedness, and competence. There are various
factors involved in individual motivation: compensation, job security, goals,
relationships, etc. Caesens et al. (2020) found that POS levels shift over time, much like
employee motivation. Employees’ perception of the support they receive can be crucial
over time; consistent POS practices can create longevity among the staff members
(Gigliotti et al., 2019). In diverse, volatile markets, POS levels can change drastically.
Things that can change the perception of support are new policies, technology, turnover,
leadership, and expansion (Rhoades & Eisenberger, 2002). The younger generation
EXAMING POS AND JE 49
prefers different strategies, communication media, and approaches compared to other
generations (Thalgaspitiya, 2021). POS leads to higher levels of motivation by instilling
trust, adapting to the diverse needs of the employee, and making people feel comfortable
in their roles (Cancela et al., 2022). Literature on workplace motivation was analyzed to
fully understand the myriad of variables that comprise POS and retention.
Retention and Job Embeddedness
JE greatly predicts an individual’s intention of leaving a company (turnover
intention) by examining their engagement at work, at home, and through their
relationships in the workplace (Dechawatanapaisal, 2018). Evaluating employees’ fit and
their links within the company gives supervisors indicators of the target’s likelihood of
staying with the company. The fit component of JE encompasses the fit to the job, the fit
within the social aspect of the team, and the fit to the organization (shared goals,
company alignment, etc.) (Sessa & Bowling, 2020). When relationships are stronger, the
sacrifice becomes larger, making people want to stay in their current job (Fasbender et
al., 2019). Furthermore, Thakur and Bhatnagar (2017) found that JE reduces turnover
intentions by allowing people to feel more connected to their job and community.
Additionally, Aman-Ullah et al. (2021) found that workers who were embedded into their
roles at work typically stayed with the company longer and were more productive. JE has
increased in popularity because it covers a large range of employee links within their job
such as relationships, fulfillment, and motivators.
Industries that have retention problems also have employee motivation problems,
where JE can help predict retention outcomes. Deci and Ryan (2000) pave the way for
workplace motivation, where they explained that employees remain motivated and
EXAMING POS AND JE 50
retained when their autonomy, relatedness, and competence levels are high. Autonomy is
required to increase motivation because workers do not want their supervisor to manage
every part of their job. Relatedness shows the employee that people in the workplace are
like-minded individuals who share a common goal. Competence explains that employees
are motivated when they understand the entirety of their job and company standards. The
current workplace requires a multitude of theories to examine employee motivations, JE,
and retention. For example, Lyu and Zhu (2019) found that workers with higher levels of
intrinsic motivation are more prone to workplace ostracism, leading to a higher likelihood
of quitting. Meaning, people that feel ostracized will reciprocate those feelings and quit
their job. Chahar et al. (2021) proposed that developmental programs in the workplace
increase motivation for everyone involved, ensure that people feel their company is
supporting them, and reduce the potential for turnover. These problems stem from Deci
and Ryan’s (2000) employee motivation standards. When these standards are not
fulfilled, people will leave their job and find a new company to work for. Future research
is required to help understand the new age group that is entering the workforce.
Biblical Foundations of the Study
Throughout the Bible, the Lord’s character is explained through stories and
interactions with other people. Key traits that God hosts include his ability to provide for
others, optimize individuals’ potential, allow people to exercise their strengths, and create
team cohesion without expecting anything in return. Proverbs 27:17 “As iron sharpens
iron, so one person sharpens another” (New International Bible, 1973/2011). It seems that
as time progresses, people are starting to drift further away from this character trait. The
biblical perspective used is the urge to help others without expecting anything in return
EXAMING POS AND JE 51
and helping people achieve their true potential. Additionally, the biblical framework aims
to showcase the importance of working together to achieve a common goal. Teamwork
comes in many shapes and sizes. The collective efforts of a group go beyond the normal
function of the workplace; people should avoid reverting to the comfort of solitude at the
day’s end. In the modern workforce, individuals of all walks of life come together to earn
their living. In most jobs, people are required to work and communicate with each other.
If people spend most of their lives in the workforce, they should use that time to grow
individually, find their true passions, and create lifelong friendships.
God’s character displays the true meaning of helping others, maximizing potential
through teamwork, and using talents to benefit others. In Peter 4:10 it says, “Each of you
should use whatever gift you have received to serve others, as faithful stewards of God’s
grace in its various forms” (New International Bible, 1973/2011). To avoid biases, the
basic understanding of this passage shows the reader that God provided people with
certain talents, hoping that they would use it to help others and possibly teach them what
they know. In the modern workforce, there are people who host differences in intellectual
levels, emotional intelligence, and cognitive abilities. Some people pick things up faster
than others. This passage explains that people should use their natural (God-given) talents
to help the people around them, strengthening the lowest common denominator. In a team
environment, they are only as strong as their weakest contributor. Through this process, a
team that seeks to strengthen their weakest player will create a higher level of cohesion,
better serve God, and increase the level of production. Research should emulate this
framework to provide society with empirical data on how to better themselves and the
team, plus showcase the importance of relationships throughout the work environment.
EXAMING POS AND JE 52
Summary
The modern-day workplace endures consistent change where leaders are tasked
with adapting to unpredictable shifts. When there are changes that alter the workplace
(age groups, technology, new leadership, diverse employees, remote work, etc.),
individual perceptions of support, motivation, and levels of JE are impacted. For
example, a company that is forced to adopt the remote workplace must consider the
impact it has on employees. Shifting to a remote work environment will change how
someone views their job, roles, and work-life balance (Eddleston & Mulki, 2017). If the
company focused on providing organizational support to their employees, workers may
be more flexible and receptive to these changes, ultimately staying retained (Ebrahimi &
Fathi, 2022). Similarly, the Gen Z population will require companies, leaders, and team
members to be flexible when adding them to the workforce (Schroth, 2019; Sherman &
Cohn, 2022). This industry will require consistent attention because of the variety of
variables that enter the contemporary workforce. The predicting effect of POS and JE on
retention is understudied and requires further research to help maintain motivated
employees, equip leaders with diverse strategies, keep people embedded in their jobs, and
lower turnover rates.
EXAMING POS AND JE 53
CHAPTER 3: RESEARCH METHOD
By examining perceptions of minimally experienced workers, data collected on
young adults in the leisure and hospitality industry can potentially contribute to the
overall understanding of POS and JE. Jolly and Self (2020) explained that future studies
should focus on lower-level employees to best understand their intentions of quitting.
This quantitative study examined the relationship between POS and JE through a
correlational design, fulfilling the call for future research (Huning et al., 2019).
Furthermore, leadership and motivation literature was assessed to further define the
variables of POS and JE. Arici et al. (2023) call for future research to explore the
predictive impact of JE and other antecedent organizational psychology variables while
King et al. (2021) reiterates the potential benefit of studying the younger workers inside a
company. With permission, a survey containing valid measurements was disseminated to
participants who met the specific criteria. This chapter will discuss the recruiting,
participants, procedure, measurements used, and the delimitations that this study hosts.
Research Questions and Hypotheses
Research Questions
RQ1: Does perceived organizational support predict turnover intention in Gen Z
personnel working in the leisure and hospitality industry?
RQ 2: Does job embeddedness predict turnover intention in Gen Z personnel
working in the leisure and hospitality industry?
RQ 3: Between perceived organizational support and job embeddedness, which is
the stronger predictor of turnover intention in Gen Z personnel working in the leisure and
hospitality industry?
EXAMING POS AND JE 54
Hypotheses
H
O
1: Perceived organizational support does not predict turnover intention.
H
a
1: Perceived organizational support predicts turnover intention.
H
O
2: Job embeddedness does not predict turnover intention.
H
a
2: Job embeddedness predicts turnover intention.
H
O
3: Perceived organizational support is not the stronger predictor of turnover
intention.
H
a
3: Perceived organizational support is the stronger predictor of turnover
intention.
Research Design
This research study used a quantitative multiple regression research method to
examine how POS and JE predict retention in young adults working in the leisure and
hospitality industry. There are two independent (predictor) variables: POS and JE. The
dependent variable for this study is turnover intention. The quantitative method is
required because the data will be collected through surveys. Each variable has a
validated, predetermined questionnaire that was used to collect the data. Quantitative
research best fits this study because it can be used to obtain a larger sample size within a
specific population and provide empirical data on an understudied predictive outcome of
POS and JE influence on retention.
Participants
Participant selection criteria consisted of a specified age range, geographic
location, and job type. Participants for this study were between the ages of 18 and 25 to
fulfill the call for further research on young adults in the workforce (King et al., 2021).
EXAMING POS AND JE 55
The location was solely based in the United States. Candidates are derived from the
leisure and hospitality industry. Participants must have been currently employed by a
company in the leisure and hospitality industry and have held their job for a minimum of
6 months. Leisure and hospitality jobs are service-related roles such as bartenders, hotel
staff, help desk operators, amusement park workers, movie theater employees, and
customer service representatives in the United States. Furthermore, participants in the
study could not have been in a leadership role, to align with Jolly and Self’s (2020)
recommendation for future research. King et al. (2021) suggests that employees should
communicate via their preferred communication medium, hence the reasoning for using
social media to disseminate the survey to Gen Z workers.
Participants were obtained through social media channels. Specific social media
groups have been identified to post the study; permission has been requested and
approved to post (see Appendix D). The survey was posted in the International
Hospitality Institute (183,000 members) on LinkedIn, the Instructors Exclusive (823
members) group on Facebook, and the Research Updates (Master / PhD / PostDoc / Job)
group on Facebook (19,500 members). Permission was granted to post on these pages
(see Appendix A). The post explained the parameters of the study, the need for the
research, and the criteria required (see Appendix F). Data collection relied on the
snowball sampling method to have people disseminate the study at their leisure and
hospitality jobs. According to Emerson (2015), snowball sampling is when the researcher
empowers their candidates to pass the study along to other people that fit the selection
criteria. Participants had no direct benefit from conducting the survey (there was no
incentive or offering) other than the potential expansion of knowledge on retention within
EXAMING POS AND JE 56
this specific industry. An a priori analysis revealed that a sample size of 68 participants
was sufficient for this study.
Figure 1
A Priori
Study Procedures
The call for participants was posted on the previously identified social media
groups with the attached survey link using Qualtrics. There was a link on the social media
group posts that went directly to the form. When candidates fit the selection criteria, they
provided informed consent and answered questions about their age, occupation, and their
time working for their company using only yes or no answers to protect their identities.
EXAMING POS AND JE 57
Names were left out to ensure that the data remained anonymous. Information was stored
on the researcher’s computer with two-step password protection (password on the
computer and password protecting the files where the information is collected). The form
also contained the respective validated measurements per variable (discussed in the next
section). Once the form was complete, the researcher scored the questionnaires and input
the data into the Statistics Package for Social Sciences (SPSS) software for analysis. The
survey was no longer accessible after 68 participants completed the questionnaire, using
the quota function in Qualtrics.
Instrumentation and Measurement
Perceived Organizational Support
Perceived organizational support was measured using the Survey of Perceived
Organizational Support (SPOS) shortened version created by Hochwarter et al. (2003).
The SPOS is an 8-item questionnaire that measures the individual’s perception of the
organization’s concern, value, and support. SPOS is a shortened version of Eisenberger et
al.’s (1986) 36-item battery. The researcher decided to utilize the shortened version to
streamline the process. Individuals in the age group of 18-25 could be keener to
participate when the questionnaire is shorter. Higher scores on the SPOS scale indicate
the individual’s level of perceived support (higher scores = higher level of POS). The
SPOS is a Likert scale that ranges from strongly disagree (1) to strongly agree (7) with an
internal consistency reliability of alpha = .92 (Hochwarter et al., 2003).
Job Embeddedness
Job embeddedness was measured using Crossley et al.’s (2007) global measure of
job embeddedness scale. This is a 7-item survey, using a 5-point Likert scale with
EXAMING POS AND JE 58
answers ranging from strongly disagree (1) to strongly agree (5). Questions measure the
individual’s level of job embeddedness by asking about feelings of attachment to the
organization, how they would feel leaving, and how committed they are to their
organization. The alpha level of internal consistency is .89 for the scale.
Turnover Intention
Retention was scored using Cohen’s (1999) turnover intention scale. The scale
was based on Mobley et al.’s (1979) retention scale. This is a 3-item survey, using a 5-
point Likert scale ranging from strongly agree (1) to strongly disagree (5) where higher
scores indicate lower turnover intentions. For the three items asking about an individual’s
job, the internal consistency is .89.
Operationalization of Variables
Turnover Intentionthis is an interval variable and was measured by the total score on
Cohen’s (1999) turnover intention scale. Turnover intention is the dependent variable for
this study because this study aimed to find the impact that POS and JE have on the score.
Perceived Organizational Supportthis is an interval variable and was measured by
the total score Survey of Perceived Organizational Support (SPOS) shortened version,
created by Hochwarter et al. (2003).
Job Embeddednessthis is an interval variable and was measured by the total score on
Crossley et al.’s (2007) global measure of job embeddedness scale.
Data Analysis
Once the participants finished and submitted their questionnaire on Qualtrics, the
researcher input the data into SPSS. Descriptive statistics were calculated to obtain
measures of central tendencies on the demographic information collected. This study
EXAMING POS AND JE 59
required a multiple regression analysis to test predictor variables on retention. The
multiple regression analysis was selected to assess which variable best predicts retention
between POS and JE. Furthermore, the multiple regression analysis explained the amount
of variance that POS and JE have on retention. The data was analyzed for outliers,
normality, and homogeneity.
Delimitations, Assumptions, and Limitations
Delimitations for this study were the selection criteria of 18–25-year-old
participants working specifically in the leisure and hospitality industry within America.
This study aimed to explore the relationship between POS and JE in this specific industry
because it had the highest turnover rate in 2022 (Zhang et al., 2019). Participants outside
of this industry were not considered for the study. The specific age group was set as a
delimitation to potentially uncover new findings for organizational research, provide
guidance for business owners who operate in this industry, and possibly align the younger
generation of workers to seek fulfilling jobs. Aligned with previous research, this study
assumed that there is a positive relationship between POS and JE (Huning et al., 2019).
To further the understanding of this relationship, the researcher assumed that this target
audience (young adults aged 18-25) will answer their questionnaires accurately. Also,
this study was positioned to assume that supervisors will not influence the participant’s
answers. Limitations of the study consisted of the design, industry parameters, and the
company confounding variables. A quantitative design provides great empirical data on
the variables but lacks the ability to further explore the individual’s experience with the
variables. For example, a qualitative or mixed methods design allows for researchers to
explore lived experiences with the phenomenon. The quantitative design relies on what
EXAMING POS AND JE 60
participants listed on their questionnaires. There are several influences that might alter
one’s answers such as the industry’s parameters, individual motivations, relationship to
the supervisor, or their experience within their role. Industry parameters could be the
range of companies that are listed as Leisure and Hospitality; people working as a help
desk operator might answer differently than a restaurant server. This specific study did
not consider the promotion opportunities, other psychological safety measures, or the
offerings that were given to the employees when they were hired (incentives). A young
adult who just received a promotion might answer the questionnaire differently than
before they received the promotion.
Summary
Participants were sourced from the American leisure and hospitality industry and
were in the age range of 18-25 years old. Focusing on the younger workers entering the
market can potentially contribute greatly to the field of organizational psychology and
give direction to future research. Social media platforms were the primary form of
advertisement to obtain the required sample size of 68 participants. A combination of
convenience and snowball sampling was used to adequately distribute the study
parameters to gain participants. If a candidate met the selection criteria, they hopefully
filled out the survey. Once the candidate filled out the questionnaire, the researcher input
that data into SPSS to analyze descriptive statistics, regression analyses, outliers,
normality, and homogeneity. Delimitations were set to focus specifically on the younger
workers in the American leisure and hospitality industry. This study assumed that people
would fill out the questionnaire accurately without any outside influence. Limitations
include confounding organizational variables such as unknown promotion paths,
EXAMING POS AND JE 61
relationships within the workplace, previous work experience, and the incentives that
people were offered upon receiving the job.
EXAMING POS AND JE 62
CHAPTER 4: RESULTS
Overview
The purpose of this quantitative correlational study was to examine the weight of
prediction that Perceived Organizational Support and Job Embeddedness have on
employee turnover intention. This study focused on employees who are 18 to 25 years
old working within the leisure and hospitality industry in America. This study aimed to
identify the level of prediction that POS and JE have on young adults' intentions of
quitting, specific to the leisure and hospitality industry. Data was collected using a
Qualtrics survey that was disseminated through approved social media groups. The
questionnaire was comprised of preexisting psychological measurements that measure an
individual’s level of POS, JE, and turnover intention. This chapter discusses the
descriptive results, assumptions, normality, and findings.
Descriptive Results
The demographic variables for this study were not collected to protect the identity
of the participants. To ensure that data was collected on the specific population of
American-based Gen Z leisure and hospitality workers, the Qualtrics survey was
structured so that people could not proceed unless they fit the criteria. All participants
were asked if they were between the ages of 18 to 25, had worked in a leisure and
hospitality role in America for at least 6 months, and were not supervisors for that
duration. For the questionnaire, the mean for turnover intention was 10.75 with a standard
deviation of 3.41, the mean for job embeddedness was 24.15 with a standard deviation of
5.89, and the mean for perceived organizational support was 38.25 with a standard
deviation of 6.78 (see Table 1).
EXAMING POS AND JE 63
Table 1
Descriptive Statistics
Scale
Mean
Standard Deviation
N
Turnover Intention
10.75
3.41
68
POS
38.25
6.78
68
JE
24.14
5.89
68
Study Findings
To analyze the hypotheses, the researcher conducted a multiple linear regression
analysis at 95% confidence interval. The analysis showed a good model fit: F(2, 65) =
16.39, P < .001, Adj R
2
= 0.31 and R
2
= .33 (see Table 2). The analysis shows that
perceived organizational support had a significant effect on turnover intention (β = 0.43, t
= 3.25, P < .05). Research question one is answered; POS does predict turnover intention
in Gen Z employees working in the American leisure and hospitality industry. Thus, the
null hypothesis was rejected. The analysis shows that job embeddedness did not have a
significant effect on turnover intention (β = 0.19, t = 1.46, P = .15) (see Table 3).
Research question two was answered and the null hypothesis failed to be rejected; JE
does not predict turnover intention in Gen Z employees working in the American leisure
and hospitality industry. Research question three is answered; POS is the only predictor
for turnover intention in this study, making it the stronger predictor. Null hypothesis three
was rejected.
EXAMING POS AND JE 64
Table 2
Model Summary
Model
R R
2
Adjusted R
2
Sig. F Change
1 .579
a
.335 .315 <.001
Table 3
ANOVA
Scale
Sum of Squares df
Mean Square F
Sig.
Regression 261.8 2 130.9 16.39 <.001
Residual 518.95 65
7.98
Total
780.75
67
5.89
a. Dependent Variable: Turnover Intention
b. Predictors: (POS, JE)
Table 4
Coefficients
Model
Standardized Coefficients Beta
t
Sig.
Constant
-.158
.875
POS
.433
3.251
.002
JE
.195
1.463
.148
EXAMING POS AND JE 65
Assumptions
Alongside the multiple linear regression analysis, the data set was assessed for
normal distribution, outliers, and multicollinearity. First, the data set was assessed for
normal distribution using a probability-probability plot and the quantile-quantile plot.
The normal probability plot indicates that the data set is normally distributed (see Figure
2). Furthermore, the normality of the data set was assessed through the quantile-quantile
plot (see Figure 3), checking the distribution between the actual value and the predicted
value of the model (Laerd Statistics, 2015).
Figure 2
Normal P-P Plot of Regression Standardized Residual
Figure 3
Normal Q-Q Plot of Normality for Turnover Intention
EXAMING POS AND JE 66
The data set was then assessed for linearity and outliers. Visual examination was
conducted on the scatter plot; the data appeared to be evenly distributed but there was one
data point that required further analysis (see Figure 4).
Figure 4
Scatterplot
While inspecting the studentized deleted residuals, ID number 22 had a standard
deviation over the threshold of plus or minus three (Laerd Statistics, 2015). To further
EXAMING POS AND JE 67
investigate this potential outlier, the data was assessed for any leveraging or influence of
the set (Laerd Statistics, 2015). ID number 22 was within the safe limit of less than 0.2
for leverage value (Huber, 1981), and the Cook’s distance value was within an acceptable
limit under 1 (Cook & Weisberg, 1982). All data points fell within the acceptable limits
of the leverage value and Cook’s distance. In such a volatile market and unpredictable
age group, it was decided to keep data point number 22 in the analysis because it was not
influential to the overall data set (Arici et al., 2023; Bryngelson & Cole, 2021; Goh &
Lee, 2018; King et al., 2021).
A Shapiro-Wilk test revealed that the data was normally distributed with a P value
of .357. Normality is also shown in the residuals of turnover intention (see Figure 5. The
value inflation factor shows no evidence of multicollinearity in the dataset (see Table 5).
All VIF values were under 5, indicating the variables are not overarching. Furthermore,
the R
2
value of .33 can be interpreted as this model explains 33% of the variance in the
dependent variable and is significantly significant (<.001).
Table 5
Collinearity Statistics (N = 68)
Tolerance
VIF
POS
.576
1.735
JE
.576
1.735
Figure 5
Turnover Intention Scale Histogram
EXAMING POS AND JE 68
Summary
Generation Z employees working within the American leisure and hospitality
industry were examined to assess whether POS or JE was the stronger predictor of
retention. Data was collected on the Gen Z population through approved Facebook and
Linkedin groups. The post within the groups contained a link to the survey where
participants confirmed their age bracket, that they had held a service-related job for at
least 6 months, and that they were not a supervisor. Data was input into SPSS where the
researcher employed a multiple linear regression analysis. The results showed that POS
was the only predictor for turnover intention within this population (β = 0.43, t = 3.25, P
< .05) and the model was a good fit (F(2, 65) = 16.39, P < .001, Adj R
2
= 0.31 and R
2
=
.33). The next section will discuss the implications of the data, the limitations presented,
and the recommendations for future research.
EXAMING POS AND JE 69
CHAPTER 5: DISCUSSION
Overview
The purpose of this quantitative correlational study was to examine the weight of
prediction that Perceived Organizational Support and Job Embeddedness have on
employee turnover intention. This study focused on employees who are 18 to 25 years
old working within the leisure and hospitality industry in America. Generation Z
employees were the focus because they are understudied and entering the workforce in
colossal amounts (Holly, 2019). This study aimed to identify the level of prediction that
POS and JE have on young adults' turnover intention, specific to the leisure and
hospitality industry. Furthermore, a primary function of this study was to provide
organizational psychology with a direction for future research to further understand
retention within the highest turnover-rated industry in America. In this chapter, there will
be a summary of the findings, an in-depth discussion of the findings related to previous
literature, implications, limitations, and recommendations for future research.
Summary of Findings
There is a significant positive relationship between the predictor variable POS and
turnover intention for Generation Z employees working in the American leisure and
hospitality industry. POS has a positive correlation because Cohen (1999) explains that a
higher score on the turnover intention scale indicates lower turnover intention. JE was not
a significant predictor in this study sample. The study was structured to identify whether
POS or JE was the stronger predictor of turnover intention in Gen Z employees. The
findings offer certain implications that could benefit business leaders, service workers,
and direction for future research. Gen Z workers are understudied, the leisure and
EXAMING POS AND JE 70
hospitality industry has the highest turnover rate, and research has yet to identify a clear
direction to solve the retention problem (Bryngelson & Cole, 2021; Rodriguez et al.,
2019).
Discussion of Findings
The findings from this study showcase POS as the only significant predictor of
turnover intention. Meaning, American Gen Z leisure and hospitality workers who had
higher perceptions of organizational support were less likely to leave their company. JE
was not significant in the findings and will be discussed in the implications section.
Previous literature on Gen Z employees has shown a wide range of turnover factors; this
study focused on two of the larger variables (POS and JE). POS has increased in
popularity and has been used to help predict turnover intention, optimize the workforce,
and assess employee morale and wellness (Eisenberger et al., 1986; Traeger et al., 2022).
The findings of this study confirm that POS is a predictor of turnover intention in service-
related workers while providing data on the youngest generation of workers (Goh & Lee,
2018; Ponting & Dilletee, 2020). The study parameters and selection criteria were set to
answer the call for future research on the industry and age group, plus provide direction
for future research on retention (Arici et al., 2023; Pramana et al., 2021). Overall, this
study confirms that POS is a predictor of turnover intention and is a stronger predictor
than JE.
The antecedent theoretical framework presented by Eisenberger et al. (1986)
explained that employees will stay with a company when they feel their company
supports them. The findings in this study are aligned with Eisenberger et al.’s (1986) POS
theory because the participants with higher POS scores had lower turnover intention
EXAMING POS AND JE 71
scores. In support, the self-determination theory explains that when people feel
autonomy, relatedness to their organization, and competence in their role, they will have
higher levels of motivation and retention potential (Deci & Ryan, 2000). Although this
study did not assess the lived experience of POS, the findings highlight that POS is the
better predictor of retention when compared to JE. Furthermore, Blau’s (1964) social
exchange theory promotes reciprocated efforts within the workplace. The findings in this
study contribute to the social exchange theory by showing that Gen Z workers have a
higher probability of staying with a company when they feel more supported by their
organization.
The primary goal for this study was to further society’s understanding of
retention, while providing empirical data on an understudied industry and generation of
workers. To ensure best practices, biblical foundations were implemented. Wolters
(2005) explains that a biblical worldview is used to break down topics to their most basic
form to fully understand their true meaning. A biblical worldview for this study was best
supported by an integrated approach. The integrated approach allows the researcher to
use a variety of methods to expand the knowledge on a topic, in hopes to gain a universal
understanding of retention (Johnson, 2010). Johnson (2010) further explains that the
integrated approach helps tie in human knowledge, natural sciences, and experiences
aligned with a biblical perspective to conduct sound research. The lord’s character traits
and scripture are used to ensure the researcher has ethical guidelines to provide society
with non-bias findings. The Lord provided people with different abilities in hopes that
they would work together and teach each other their abilities (New International Bible,
1973/2011). The implications of this study were written in hopes that people will actively
EXAMING POS AND JE 72
work together, help others, optimize time spent in the workforce, and highlight the
importance of working for a company that supports their employees.
Implications
The leisure and hospitality industry has the highest turnover rate in the American
workforce (Bureau of Labor and Statistics, 2022). In the next decade, there will be nearly
60 million Generation Z people entering the workforce (Bryngelson & Cole, 2021).
Business leaders, fellow employees, and the scientific community will be required to
continuously adapt to the newest generation of workers while battling retention
challenges (Arici et al., 2023; Hurtienne et al., 2021; Pramana et al., 2021). The findings
in this study contribute to today’s volatile industry changes by showing that POS remains
a core function of retention. Theoretical foundations must be considered to evolve
psychological constructs and further the understanding of workplace issues. POS should
be considered when businesses face retention issues, when diversity increases, and when
new trends enter the workforce.
Business Leaders
Businesses leaders are faced with the hardships of inevitable market changes,
societal shifts, increases in diversity, and technological advancements. When businesses
remain adaptive, they often stay competitive within their respective market. This study
offers business leaders an insight into their youngest workers, how to keep them retained,
and how they perceive the organization. Previous research has described the Generation
Z employee as technologically savvy, diverse, and individualistic, yet they still want a
role model to assist them at work (Loring & Wang, 2022; Pramana et al., 2021).
Adopting POS strategies will help keep the younger workers retained by showing them
EXAMING POS AND JE 73
that the company values their time and efforts. POS strategies include professional
development opportunities for all staff, flexible scheduling, placing employees in
positions that complement their strengths, creating autonomy, and promoting leaders who
are approachable (Kolodinsky et al., 2018). Companies within the leisure and hospitality
industry should strongly consider implementing these strategies as well because Ebrahimi
and Faith (2022) had similar findings that suggest increasing POS reduces turnover.
Increasing POS initiatives is cost-effective, decreases turnover, and allows people to
grow within their roles (Serban et al., 2021).
The Workforce
The current workforce is comprised of multiple generations, backgrounds, gender
identities, and cognitive abilities (Cancela et al., 2021). Findings from this study
showcase the importance of POS in the younger generation. When people seek new
employment, they must consider the organization’s structure and how it supports all
levels of employees. The purpose of this section is to explain how the findings of this
study can help employees optimize their time in the workforce. Optimizing one’s time in
the workforce can be achieved through team cohesion, understanding the perception of
other people, and knowing how to assess a company’s POS initiatives. Team cohesion
requires people to set aside their differences and analyze teammates' motivations
(Tuckman, 1965). The structure of this study was set to assess both POS and JE at the
same time to see which one was the stronger predictor of retention. When assessed beside
JE, POS was the superior predictor. Meaning, the younger generation of workers in the
leisure and hospitality industry cares more about organizational support than job
EXAMING POS AND JE 74
embeddedness factors. Furthermore, the support of the company was more important than
job-fit and community variables.
Gen Z employees differ from the other generations because they were born
alongside a technological revolution, making their perceptions and personalities
drastically different (Mahmoud et al., 2022; Miller, 2018). To create cohesion, fellow
coworkers benefit from understanding the viewpoints of others. For example, millennials
prefer recognition and praise while Gen Z employees prefer the opposite (Baldonado,
2018; Mahmoud et al., 2020). People in the workforce who are not in the Gen Z age
bracket must consider that the younger generations have a different communication
process and perception but still require the same POS standards as everyone else. Gen Z
employees reading these findings should consider searching for companies that promote
knowledge sharing, adopt the newest technological advancements, support green
initiatives, and develop ethical leaders (Gabrielova & Buchko, 2021; Graczyk-Kucharska,
2019).
Scientific Community
Organizational psychology requires variations of studies to confirm antecedent
theories, progress the theories, and expand upon what is currently known on
psychological constructs. This study confirms Eisenberger et al.’s (1986) POS theory and
presents new information on understudied populations. The generations within the
workforce have different viewpoints and motivational standards. This study helped
provide society with empirical data on the newest generation of workers and what best
keeps them retained (Thalgaspitiya, 2021). Previous studies have found links between
POS, JE, and retention, but there has not been a study that shows which of the two
EXAMING POS AND JE 75
constructs best predicts retention in the selected population (Akgunduz & Sanli, 2017;
Arici et al., 2023). The structure of this study provides the scientific community with
empirical data on Generation Z employees and the American service-related industry.
POS theory is progressed because it significantly predicted turnover intention when JE
did not. Furthermore, with the contradictory findings from previous literature on the
different industries, this study acts as a constant for the relationship between POS and
retention in Gen Z employees.
Job Embeddedness
Previous literature on JE specific to this target population has shown inconsistent
findings on whether it is a true predictor of retention. This study showed that only POS
was a significant predictor of retention. Perhaps the reason why JE was insignificant in
this study is because Gen Z people find their community link through social media
channels (Mahmoud et al., 2020; Pramana et al., 2021). Their link to the community,
friend groups, social groups, community involvement, and what they would lose from
leaving that community could be heavily influenced by their social media usage (Burrows
et al., 2022; Crossley et al., 2007; Fasbender et al., 2019; Sessa & Bowling, 2020). In the
workplace, POS may have been more memorable and important to Gen Z workers
because of the face-to-face interactions they had with supervisors or coworkers. As
individualistic types, Gen Z workers respond better to organizational support than the job
itself. Bryngelson and Cole (2021) suggest that Gen Z workers will leave a job if they do
not feel embedded or fulfilled in their role. JE being insignificant in the findings supports
their assertion, suggesting that Gen Z workers prefer an organization that values their
efforts.
EXAMING POS AND JE 76
Limitations
Limitations of this study consisted of the design, industry parameters, honesty in
answering the questions, and the company confounding variables. A quantitative design
provides great empirical data on the variables but lacks the ability to further explore the
individual’s experience with the variables. For example, a qualitative or mixed methods
design allows researchers to explore lived experiences with the phenomenon. A
quantitative design relies solely on what participants listed on their questionnaires. There
are several influences that might alter one’s answers such as the industry’s parameters,
individual motivations, size of the work team, location, relationship to the supervisor,
responsibilities, or their experience within their role. This specific study did not consider
remote work, promotion opportunities, other psychological safety measures, diversity
initiatives, or the offerings that were given to the employees when they were hired
(incentives). A young adult who just received a promotion might answer the
questionnaire differently than before they received it.
During data collection, it was assumed that the participants answered honestly
without any outside influence. This study relied on the participants to answer honestly
because it was structured to evaluate the individual’s perception of how they are treated
in their role at work. If they fear there will be repercussions for participation, the data
may not be accurate. There are potentially confounding items that could skew the data
such as individuals working for companies that recently gave bonuses, remote work, new
promotions, rushing through the survey, or the employee is relatively new and has not yet
established a relationship with supervisors. This study focused on their current employer
and did not account for previous work experiences. To combat this potential limitation,
EXAMING POS AND JE 77
this study was structured to evaluate the predictive impact of POS and JE on retention
within their current employment.
The leisure and hospitality industry has some potential limitations because the
industry is broad. This study was structured to benefit from the broad range
(disseminating the survey to large service-related groups) of companies that comprise the
industry because generalizable data was a priority. Industry parameters could be the
range of companies that are listed as Leisure and Hospitality; people working as a help
desk operator might answer differently than a restaurant server. Within the industry,
companies experience a monumental difference in customer volume, interaction, size,
location, etc. Respondents may have answered the survey differently depending on the
volume of customers or other variables that impact motivation on that given day. For
example, a server who filled out the questionnaire on a Monday versus a busy Saturday
might have given different results. Focusing the research and data collection on younger
employees offered some limitations because they might not have any other previous work
experience, their maturity levels differ, or their employment status may vary (part-time
vs. full-time). Despite the potential limitations, this study offered the best results by
obtaining a variety of participants throughout the leisure and hospitality industry. It also
provided empirical data on current organizational variables that impact retention. This
study relied on participants’ perceptions of their company, relationships, and job fit to
best acquire generalizable data to combat worldwide retention issues.
Recommendations for Future Research
The purpose of this study was to identify which psychological construct (POS or
JE) was the stronger predictor of retention in a specific population to provide researchers
EXAMING POS AND JE 78
with direction for future research. Structuring the study in this manner allowed the
findings to highlight which variable requires future research. Since POS was the superior,
significant predictor of retention, future research should explore the various dyads that
comprise POS. To start, it is recommended that future research focus on this specific
population because they are new to the workforce. The leisure and hospitality industry
consistently holds the highest turnover rate in America (Bureau of Labor and Statistics,
2022). Future research should explore a larger population of service-related employees
within America (King et al., 2021). Since POS was the significant predictor to retention,
future research should expand upon these findings to further explore what facets of POS
increase retention. For example, Shanock and Eisenberger (2006) explored a rendition of
POS called Perceived Supervisor Support (PSS) to further the understanding of retention.
Larger corporations that employ service-related positions should consider assessing their
employee’s turnover intention in hopes of reducing their probability of leaving.
Future research should further explore the phenomenon of retention and
contribute to the research of Gen Z workers while aiming to reduce the turnover rate in
the leisure and hospitality industry. POS is comprised of supervisor relationships,
scheduling, benefits, alignment, culture, reciprocated value, training, promotion path,
professional development, and leadership values (Eisenberger et al., 1986). A construct
with this many subcategories requires future research to help explore the myriad of
factors that contribute to retention. This specific study was structured for the ease of
replication. Future research should rerun this study with other constructs to assess the
future direction of research, increase sample size, focus on specific roles within the
leisure and hospitality industry, and consider remote work. To align with Wolters’ (2005)
EXAMING POS AND JE 79
grand narrative and biblical worldview, the only way to fully understand a phenomenon
is to explore all factors. To fully grasp the concepts of POS, retention, Gen Z, and the
service industry, future research should seek the full truths of all things that comprise
each construct.
The leisure and hospitality industry presents a wide range of jobs with drastically
different roles. The U.S. Bureau of Labor and Statistics (2023) lumps all art,
entertainment, recreation, accommodation, and food service jobs in this category (see
Table 6). This study only scratches the surface on retention within this industry. If a
similar study is conducted, gathering more demographic variables, work experience, and
frequency of customer interaction could further the understanding of the selected
variables. Future research should consider studying each specific subcategory of this
industry to potentially highlight trends throughout. With the Gen Z population, it could
be more beneficial to implement a similar study with the same variables, but with a
mixed method or qualitative design. This would allow the researcher to get a better
understanding of their lived experience on POS, JE, and retention. Although it is not
recommended to continue researching JE within this population, it would be eye opening
to hear about their experience with JE as technology, diversity, and Gen Z workers
increase in the workplace.
Table 6
Turnover Rate Percentage
Rate by Industry
August 2022
July 2023
August 2023
Total (of all industries) 4.1 3.6 3.6
EXAMING POS AND JE 80
Leisure and Hospitality 7.3
5.7
6.5
Art, entertainment, and recreation 6.9 5.8 6.7
Accommodation and food service 7.4
5.7
6.4
(Bureau of Labor and Statistics, 2023)
Summary
Generation Z personnel are entering the workforce in massive numbers. This
generation requires delicate handling because of their new perceptions, way of thinking,
technological inclination, and unorthodox communication mediums. This study was
structured to highlight a future direction of research, further the understanding of
retention, shed light on an understudied generation, and provide empirical data on a
volatile industry. Furthermore, the findings of this study revealed that when compared
side-by-side, POS is the stronger and only significant predictor of retention within the
specified population. Business leaders can benefit from reading this study because it
highlights the importance of showing support to Generation Z employees, the impact of
POS, and how to reduce turnover intention. The workforce can take away the key
differences of the younger workers, in hopes that they will help them adapt to unfamiliar
circumstances. Organizational psychology and the scientific community will benefit from
progressing what is known about retention in a volatile population.
The aim of this study was to further the understanding of retention in hopes to add
value to the working human’s life. With a biblical worldview perspective and an
integrated approach, the researcher sought to emulate the character of the Lord to provide
society with non-bias truths about retention. This study was positioned to educate the
EXAMING POS AND JE 81
masses on retention issues within an understudied population while guiding a generation
to flourishing in the workplace. This study also provides empirical data to an industry
with the highest turnover rate (Bureau of Labor and Statistics, 2022). Furthermore, a gap
in research was filled by providing data on three widely researched phenomena (POS, JE,
retention), lower-level employees, and the youngest working generation (Arici et al.,
2023; King et al., 2021; Jolly & Self, 2020). The findings are presented in hopes of
progressing Eisenberger et al.’s (1986) POS theory, adding value to Blau's (1964) social
exchange theory, and presenting a new perspective on the self-determination theory.
EXAMING POS AND JE 82
REFERENCES
Abernethy, M. A., & Bouwens, J. (2005). Determinants of accounting innovation
implementation. Abacus, 41(3), 217-240.
Agrawal, H., Yadav, M., Kant, S. (2022). Impact of job embeddedness on employee
turnover in Indian IT sector, across 3 generations- Gen X, Gen Y and Gen Z.
Journal of Pharmaceutical Negative Results, 13(9), 9158-9170.
10.47750/pnr.2022.13.S09.1073
Ahmad, I., & Zafar, M.A. (2018). Impact of psychological contract fulfillment on
organizational citizenship behavior: Mediating role of perceived organizational
support. International Journal of Contemporary Hospitality Management, 30(2),
1001-1015. https://doi.org/10.1108/IJCHM-12-2016-0659
Akgunduz, Y., & Sanli, S. C. (2017). The effect of employee advocacy and perceived
organizational support on job embeddedness and turnover intention in hotels.
Journal of Hospitality and Tourism Management, 31, 118-125.
https://doi.org/10.1016/j.jhtm.2016.12.002
Akkermans, J., Tims, M., Beijer, S., & De Cuyper, N. (2019). Should employers invest in
employability? Examining employability as a mediator in the HRM
commitment relationship. Frontiers in Psychology, 10, 1-10.
https://doi.org/10.3389/fpsyg.2019.00717
Ali, B. J., & Anwar, G. (2021). An empirical study of employees’ motivation and its
influence job satisfaction. International Journal of Engineering, Business and
Management, 5(2), 21-30. https://doi.org/10.22161/ijebm.5.2.3
EXAMING POS AND JE 83
Aman-Ullah, A., Aziz, A., Ibrahim, H., Mehmood, W., & Abbas, Y. A. (2021). The
impact of job security, job satisfaction and job embeddedness on employee
retention: An empirical investigation of Pakistan’s health-care industry. Journal
of Asia Business Studies. https://doi.org/10.1108/JABS-12-2020-0480
Amini, A., & Alimohammadlou, M. (2021). Toward equation structural modeling: An
integration of interpretive structural modeling and structural equation modeling.
Journal of Management Analytics, 8(4), 693-714.
https://doi.org/10.1080/23270012.2021.1881927
Ampofo, E. T., & Karatepe, O. M. (2021). The effects of on-the-job embeddedness and
its sub-dimensions on small-sized hotel employees’ organizational commitment,
work engagement and turnover intentions. International Journal of Contemporary
Hospitality Management. https://doi.org/10.1108/IJCHM-07-2021-0858
Andini, W., & Parahyanti, E. (2019). Proceedings of the 2
nd
International Conference on
Intervention and Applied Psychology (ICIAP 2018). Advances in Social Science.
https://doi.org/10.2991/iciap-18.2019.82
Arasanmi, C. N., & Krishna, A. (2019). Employer branding: Perceived organizational
support and employee retention – the mediating role of organizational
commitment. Industrial and Commercial Training, 51(3), 174-183.
https://doi.org/10.1108/ICT-10-2018-0086
Arici, H. E., Arasli, H., Köseoglu, M. A., Sokmen, A., & Arici, N. C. (2023). Job
embeddedness in hospitality and tourism scholarship: Past, present, and future
research agenda. International Journal of Hospitality Management, 109, 103417.
https://doi.org/10.1016/j.ijhm.2022.103417
EXAMING POS AND JE 84
Asif, M., Qing, M., Hwang, J., & Shi, H. (2019). Ethical leadership, affective
commitment, work engagement, and creativity: Testing a multiple mediation
approach. Sustainability, 11(16), 4489. https://doi.org/10.3390/su11164489
Aydogmus, C., Camgoz, S. M., Ergeneli, A., & Ekmekci, O. T. (2019). Perceptions of
transformational leadership and job satisfaction: The roles of personality traits and
psychological empowerment. Journal of Management and Organization, 24(1),
81-107. https://doi.org/10.1017/jmo.2016.59
Baldonado, A. M. (2018). Leadership and Gen Z: Motivating Gen Z workers and their
impact to the future. International Journal of Managerial Studies and Research,
6(1), 56-60. http://doi.org/10.20431/2349-0349.0601008
Balwant, P. T., Mohammed, R., & Singh, R. (2020). Transformational leadership and
employee engagement in Trinidad’s service sector: The role of job resources.
International Journal of Emerging Markets, 15(4), 691-715.
https://doi.org/10.1108/IJOEM-01-2019-0026
Blau, P. M. (1964). Exchange and power in social life. New York, NY: WileyBrimhall,
K. C. (2019). Inclusion is important…but how do I include? Examining the
effects of leader engagement on inclusion, innovation, job satisfaction, and
perceived quality of care in a diverse nonprofit health care organization. Nonprofit
and Voluntary Sector Quarterly, 48(4), 716-
737. https://doi/10.1177/0899764019829834
Bryngelson, J., & Cole, M. (2021) Keeping up with the generations: Employee
engagement and retention in gen Z workers. Michigan Academician, 48(1), 12-12.
EXAMING POS AND JE 85
Bufquin, D., DiPietro, R., Orlowski, M., & Partlow, C. (2018). Social Evaluations of
restaurant managers. International Journal of Contemporary Hospitality
Management, 30(3), 1827–1844. https://doi.org/10.1108/ijchm-11-2016-0617
Bureau of Labor Statistics. (2022). United States Bureau of Labor Statistics.
https://www.bls.gov/
Burrows, D. N., Porter, C. O., & Amber, B. (2022). Beyond choosing to leave: The
interactive effects of on- and off-the-job embeddedness on involuntary
turnover. Journal of Applied Psychology, 107(1), 130
141. https://doi.org/10.1037/apl0000881
Caesens, G., Morin, A. J. S., & Stinglhamber, F. (2020). Longitudinal trajectories of
perceived organizational support: A growth mixture analysis. Journal of
Managerial Psychology. https://doi.org/10.1108/jmp-01-2020-0027
Cancela, D., Hulshegar, U. R., & Stutterheim, S. E. (2022). The role of support for
transgender and nonbinary employees: Perceived co-worker and organizational
support’s associations with job attitudes and work behavior. Psychology of Sexual
Orientation and Gender Diversity. 9(1), 49-57.
https://doi.org/10.1037/sgd0000453
Cho, M., Bonn, M., & Han, S. (2018). Generation Z’s sustainable volunteering:
Motivations, attitudes and job performance. Sustainability, 10(5), 1400.
https://doi.org/10.3390/su10051400
Choi, W., Kang, S., & Choi, S. B. (2021). Innovative behavior in the workplace: An
empirical study of moderated mediation model of self-efficacy, perceived
EXAMING POS AND JE 86
organizational support, and leader-member exchange. Behavioral Sciences, 11, 1-
17. https://doi.org/10.3390/ba11120182.
Chahar, B., Jain, R. S., & Hatwal, V. (2021). Mediating role of employee motivation for
training, commitment, retention, and performance in higher education institutions.
Problems and Perspectives in Management, 19(3), 95-105.
http://doi.org/10.21511/ppm
Choy, M. W. C., & Kamoche, K. (2020). Identifying stabilizing and destabilizing factors
of job change: A qualitative study of employee retention in the Hong Kong travel
agency industry. Current Issues in Tourism, 24(10).
https://doi/10.1080/13683500.2020.1792853
Cohen, A. (1999). Turnover Intention Scale [Database record]. Retrieved from
PsycTESTS. https://doi.org/10.1037/t10116-000
Cook, R. D., & Weisberg, S. (1982). Residuals and influence in regression. New York:
Chapman & Hall.
Creswell, J., & Poth, C. (2016). Qualitative Inquiry and Research Design (4th ed.).
SAGE Publications.
Crossley, C. D., Bennett, R. J., Jex, S. M., & Burnfield, J. L. (2007). Development of a
global measure of job embeddedness and integration into a traditional model of
voluntary turnover. Journal of Applied Psychology, 92, 1031–1042.
https://doi.org/10. 1037/0021-9010.92.4.1031
Dechawatanapaisal, D. (2018). Nurses’ turnover intention: The impact of leader-member
exchange, organizational identification and job embeddedness. Journal of
Advanced Nursing, 74, 1380-1391.
EXAMING POS AND JE 87
Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in
Human Behavior. New York, NY: Cambridge University Press.
https://doi.org/10.1007/978-1-4899-2271-7
Deci, E., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs
and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.
Deepika, & Chitranshi, J. (2021). Leader readiness of gen Z in VUCA business
environment. Foresight (Cambridge), 23(2), 154-171. https://doi.org/10.1108/FS-
05-2020-0048
Ducheck, S. (2020). Organizational resilience: A capability-based conceptualization.
Business Research, 13, 215–246. https://doi.org/10.1007/s40685-019-0085-7
Ebrahimi, E., & Fathi, M. R. (2022). The relationship between perceived organizational
support and job crafting among hospital nurses: The moderating role of job
embeddedness. Depiction of Health, 13(2), 210-222.
https://doi.org/10.34172/doh.2022.28
Eddleston, K. A., & Mulki, J. (2017). Toward understanding remote workers’
management of work-family boundaries: The complexity of workplace
embeddedness. Group & Organization Management, 42(3), 346-387.
https://doi.org/10.1177/1059601115619548
Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived
organizational support. Journal of Applied Psychology, 71, 500–507
Eisenberger, R., Shoss, M., Karagonlar, G., Gonzalez-Morales, G., Wickham, R. E., &
Buffardi, L. (2014). The supervisor POS–LMX–subordinate POS chain:
Moderation by reciprocation wariness and supervisor’s organizational
EXAMING POS AND JE 88
embodiment. Journal of Organizational Behavior, 35, 635-656.
https://doi.org/10.1002/job.1877
Emerson, R. W. (2015). Convenience sampling, random sampling, and snowball
sampling: How does sampling affect the validity of research? Journal of Visual
Impairment & Blindness, 109(2), 164-168.
https://doi.org/10.1177/0145482X1510900215
Esqueda, J. O. (2014). Biblical worldview: The Christian higher education foundation for
learning. Christian Higher Education, 13(2), 91-100.
https://doi.org/10.1080/15363759.2014.872495
Everett, E. (2021). Leadership in local government, part 1: What is leadership? What
makes an effective leader? Public Management, 103(1), 30.
Fasbender, U., Van der Heijden, B. I., & Grimshaw, S. (2019). Job satisfaction, job stress
and nurses’ turnover intentions: The moderating roles of on‐the‐job and off‐the‐
job embeddedness. Journal of advanced nursing, 75(2), 327-
337. https://doi.org/10.1111/jan.13842
Gabrielova, K., & Buchko, A. A. (2021). Here comes Gernation Z: Millennials as
managers. Business Horizon, 64, 489-499.
https://doi.org/10.1016/j.bushor.2021.02.013
Gagne M, Forest J, Vansteenkiste M, et al. (2015) The Multidimensional Work
Motivation Scale: Validation evidence in seven languages and nine
countries. European Journal of Work and Organizational Psychology, 24(2),
178–196.
EXAMING POS AND JE 89
Ganguli, R., Padhy, S. C., & Saxena, T. (2022). The characteristics and preferences of
Gen Z: A review of multi-geography findings. IUP Journal of Organizational
Behavior, 21(2), 79-98.
Gaudet, M.-C., & Tremblay, M. (2017). Initiating structure leadership and employee
behaviors: The role of perceived organizational support, affective commitment
and leadermember exchange. European Management Journal, 35(5), 663–675.
https://doi.org/10.1016/j.emj.2017.04.001
Gigliotti, R., Vardaman, J., Marshall. D. R., & Gonzalez, K. (2019). The Role of
Perceived Organizational Support in Individual Change Readiness. Journal of
Change Management, 19(2), 86-100.
Goh, E., & Lee, C. (2018). A workforce to be reckoned with: The emerging pivotal
generation Z hospitality workforce. International Journal of Hospitality, 73, 20-
28.
Gomes, J. F. S., Marques, T., & Cabral, C. (2022). Responsible leadership, organizational
commitment, and work engagement: The mediator role of organizational
identification. Nonprofit Management & Leadership, 33(1), 89-108.
https://doi.org/10.1002/nml.21502
Graczyk-Kucharska, M. (2019). Knowledge management for human resources: Profile of
a Generation Z employee. Academic Conferences International Limited.
https://doi.org/10.34190/KM.19.146
Griep Y., & Bankins, S. (2022). The ebb and flow of psychological contract breach in
relation to perceived organizational support: Reciprocal relationships over
time. Economic and Industrial Democracy, 43(1), 344-361.
EXAMING POS AND JE 90
Griffin, W. R., Phillips, J. M., & Gully, S. M. (2020). Organizational Behavior:
Managing People and Organizations, (13
th
e.d.). Cengage. ISBN:9780357689998
Hassan, M. M., Jambulingam, M., Narayan, E. A., Islam, S. N., & Zaman, A. U. (2021).
Retention Approaches of Millennial at Private Sector: Mediating Role of Job
Embeddedness. Global Business Review.
https://doi.org/10.1177/0972150920932288
Herr, R. M., Almer, C., Bosle, C., & Fischer, J. E. (2019). Associations of changes in
organizational justice with job attitudes and health – Findings from a prospective
study using a matching-based difference-in-difference approach. International
Journal of Behavioral Medicine, 27, 119-135. https://doi.org/10.1007/s12529-
019-09841-z
Herriman, Z., Taylor, A. M., & Roberts, R. M. (2023). Interventions to reduce the
negative impact of online highly visual social networking site use on mental
health outcomes: A scoping review. Psychology of Popular Media,
https://doi.org/10.1037/ppm0000455
Hill, N. S., Kang, J. H., & Seo, M. G. (2014). The interactive effect of leader-member
exchange and electronic communication on employee psychological
empowerment and work outcomes. Leadership Quarterly, 25(4), 772–783.
https://doi.org/10.1016/j.leaqua.2014.04.006
Hochwarter, W. A., Kacmar, C., Perrewé, P. L., & Johnson, D. (2003). Survey of
Perceived Organizational Support--Shortened Version [Database record].
Retrieved from PsycTESTS. doi: https://doi.org/10.1037/t09789-000
EXAMING POS AND JE 91
Hoff, K. A., Song, Q. C., Wee, C. J., Phan, W. M. J., & Rounds, J. (2020). Interest fit and
job satisfaction: A systematic review and meta-analysis. Journal of Vocational
Behavior, 123, 103503. https://doi.org/10.1016/j.jvb.2020.103503
Holly, S. (2019). Are you ready for Gen Z in the workplace? California Management
Review, 61(3), 5-18.
Hopson, M., Petri, L., & Kufera, J. (2018). A new perspective on nursing retention.
Journal for Nurses in Professional Development, 34(1), 31-37.
https://doi.org/10.1097/NND.0000000000000420
Huber, P. J. (1981). Robust statistics. New York: John Wiley & Sons.
Huning, T. M., Hurt, K. J., & Frieder, R. E. (2019). The effect of servant leadership,
perceived organizational support, job satisfaction and job embeddedness on
turnover intentions. Evidence-based HRM, 8(2), 177-194.
https://doi.org/10.1108/EBHRM-06-2019-0049
Hurtienne, M. W., Hurtienne, L. E., & Kempen, M. (2021). Employee engagement:
Emerging insight of the millennial manufacturing workforce. Human Resource
Development Quarterly, 33, 137-156. https://doi.org/10.1002/hrdq.21453
Jacobsen, S. L., & Barnes, N. G. (2020). Social media, gen Z and consumer misbehavior:
Instagram made me do it. Journal of Marketing Development and
Competitiveness, 14(3), 51-58. https://doi.org/10.33423/jmdc.v14i3.3062
Johnson, E, L. (2010). Psychology and Christianity: Five Views (2
nd
ed.). IVP Academic.
Jolly, P. M., & Self, T. T. (2020). Psychological diversity climate, organizational
embeddedness, and turnover intentions: A conservation of resources
EXAMING POS AND JE 92
perspective. Cornell Hospitality Quarterly.
https://doi.org/10.1177/1938965519899935
Ju, D., Yao, J., & Ma, L. (2021). Person–job fit and job involvement: The curvilinear
effect and the moderating role of goal orientation. Journal of Managerial
Psychology, 36(5), 433–446. https://doi.org/10.1108/jmp-02-2020-0095
Khairunisa, N. A., & Muafi, M. (2022). The effect of workplace well-being and
workplace incivility on turnover intention with job embeddedness as a moderating
variable. International Journal of Business Ecosystem & Strategy, 4(1), 11-
23. https://doi.org/10.36096/ijbes.v4i1.303
King, C., Madera, J. M., Lee, L., Murillo, E., Baum, T., & Solnet, D. (2021).
Reimagining attraction and retention of hospitality management talent A
multilevel identity perspective. Journal of Business Research, 136, 251-262.
https://doi.org/10.1016/j.jbusres.2021.07.044
Klein, H. J., Brinsfield, C. T., & Cooper, J. T. (2020). The experience of commitment in
the contemporary workplace: An exploratory reexamination of commitment
model antecedents. Human Resource Management.
https://doi.org/10.1002/hrm.22040
Kolodinsky, R. W., Ritchie, W. J., & Kuna, W. A. (2018). Meaningful engagement:
Impacts of a ‘calling’ work orientation and perceived leadership support. Journal
of Management & Organization, 24(3), 406-423.
https://doi.org/10.1017/jmo.2017.19
Kortsch, T., Rehwaldt, R., Schwake, M. E., & Licari, C. (2022). Does remote work make
people happy? effects of flexibilization of work location and working hours on
EXAMING POS AND JE 93
happiness at work and affective commitment in the German banking sector.
International Journal of Environmental Research and Public Health, 19(15),
9117. https://doi.org/10.3390/ijerph1915911
Kroll, A., & Tantardini, M. (2019). Motivating and retaining government employee: The
role of orgnizational social capital. International Public Management
Journal, 22(2). https://doi.org/10.1080/10967494.2017.1367341
Laerd Statistics. (2015). Multiple regression using SPSS Statistics. Statistical tutorials
and software guides. https://statistics.laerd.com/
Liao, P.-Y. (2022). Proactive personality, job crafting, and person-environment fit: Does
job autonomy matter? Current Psychology. https://doi.org/10.1007/s12144-022-
03065-3
Liden, R. C., Wayne, S. J., Meuser, J. D., Hu, J., Wu, J., & Liao, C. (2015a). Servant
Leadership Scale-7 [Database record]. Retrieved from PsycTESTS.
https://doi.org/10.1037/t41818
Liden, R. C., Wayne, S. J., Meuser, J. D., Hu, J., Wu, J., & Liao, C. (2015b). Servant
leadership: Validation of a short form of the SL-28. The Leadership Quarterly,
26(2), 254-269. https://doi.org/10.1016/j.leaqua.2014.12.002,
Loring, A., & Want, J. (2022). Engaging Gen Z in professional selling: A systematic
literature review. European Journal of Training and Development, 46(5/6), 413-
433
Lyu, Y., & Zhu, H. (2019). The predictive effects of workplace ostracism on employee
attitudes: A job embeddedness perspective. Journal of Business Ethics, 158,
1083-1095. https://doi.org/10.1007/s10551-017-3741-x
EXAMING POS AND JE 94
Mahesh, J., Bhat, A. K., & Suresh, R. (2021). Are Gen Z values the new disruptor for
future educational institutions? Journal of Higher Education Theory and Practice,
21(12), 102-123
Mahmoud, A. B., Reisel, W. D., Grigoriou, N., Fuxman, L., & Mohr, I. (2020). The
reincarnation of work motivation: Millennials vs older generations. International
Sociology, 35(4), 393-414. https://doi.org/10.1177/0268580920912970
Mahmoud, A. B., Fuxman, L., Mohr, I., Reisel, W. D., & Grigoriou, N. (2021). “We
aren’t your reincarnation!” workplace motivation across X, Y and Z. International
Journal of Manpower, 42(1), 193-209.
Mashi, M. S., Salisu, I., Olaoye, K., I., & Galadanchi, A. H. (2022). Job embeddedness as
a mediator of the effects of organizational antecedents on voluntary turnover
intention of hotel employees in Nigeria. Journal of Human Resources in
Hospitality and Tourism. 21(3), 409-440.
https://doi.org/10.1080/15332845.2022.2064182
Miller, J. (2018). 10 things you need to know about Gen Z: A 16-year-old provides
insight into what drives the next wave of U.S. workers—and it might not be what
you think. HR Magazine, 63(7),
http://bi.gale.com.ezproxy.liberty.edu/global/article/GALE|A565734638?u=vic_li
berty.
Mobley, W. H„ Griffeth, R. W., Hand, H. H., & Meglino, B. M. (1979). Review and
conceptual analysis of the employee turnover process. Psychological Bulletin, 86,
493-522.
EXAMING POS AND JE 95
Muhammad, Y. I., Natasha, S. E., Abid, G., Ashfaq, F., & Ilyas, S. (2020). Impact of
Perceived Organizational Support on Work Engagement: Mediating Mechanism
of Thriving and Flourishing. Journal of Open Innovation: Technology, Market,
and Complexity, 6(3), 82. https://doi.org/10.3390/joitmc6030082
Nabawanuke, H., & Ekmekcioglu, E. B. (2021). Millennials in the workplace: Perceived
supervisor support, work-life balance and employee well-being. Industrial and
Commercial Training, 54(1), 123-144. https://doi.org/10.1108/ICT-05-2021-0041
Nazir, S., Shafi, A., Atif, M. A., Qun, W., & Adbullah, S. M. (2018). How organizational
justice and perceived organizational support facilitate employee’s innovative
behavior at work. Employee Relations: The International Journal, 41(6), 1288-
1311. https://doi.org/10.1108/ER-01-2017-0007
New International Bible. (2011). Bible Gateway Online. https://www.biblegateway.com/
(Original work published 1978)
Ng, E. S., & Sears, G. J. (2018). Walking the Talk on Diversity: CEO Beliefs, Moral
Values, and the Implementation of Workplace Diversity Practices. Journal of
Business Ethics, 164, 437–450. https://doi.org/10.1007/s10551-018-4051-7
Nikolova, E., Schaufeli, W., & Notelaers, G. (2019). Engaging leader Engaged
employees? A cross-lagged study on employee engagement. European
Management Journal, 37, 772-783. https://doi.org/10.1016/j.emj.2019.02.004
Omanwar, S. P., & Agrawal R. K. (2020). Servant leadership, organizational
identification and turnover intention: An empirical study in
hospitals. International Journal of Organizational Analysis, 30(2), 239-258.
https://doi.org/10.1109/IJOA-08-20202372
EXAMING POS AND JE 96
Ponting, S. S.-A., & Dillette, A. (2020). (Dis)connected organizational identity of
multinational hotel corporations: Employee insights from a Mexican luxury hotel
property. Tourism and Hospitality Research, 21(1), 86
98. https://doi.org/10.1177/1467358420970633
Popaitoon, P. (2022). Fostering work meaningfulness for sustainable human resources: A
study of generation Z. Sustainability, 14(6), 3626,
https://doi.org/10.3390/su14063626
Pramana, H. P., Hastjarjo, S., & Sudarmo (2021). Millennial and gen Z perspective
towards eco-office campaign implementation in public sector. IOP Conference
Series, Earth, and Environmental Science, 905(1). https://doi.org/10.1088/1755-
1315/905/1/012122
Qing, M., Asif, M., Hussain, A., & Jameel, A. (2019). Exploring the impact of ethical
leadership on job satisfaction and organizational commitment in public sector
organizations: the mediating role of psychological empowerment. Review of
Managerial Science, 1-28. https://doi.org/10.1007/s11846-019-00340-9
Quek, S. J., Thomson, L., Houghton, R., Bramley, L., Davis, S., & Cooper, J. (2021).
Distributed leadership as a predictor of employee engagement, job satisfaction
and turnover intention in UK nursing staff. Journal of Nursing
Management, 29(6), 1544–1553.
Rachmawati, M., Dewantoro, B., Dasmadi, Novandalina, A., & Budiyono, R. (2021).
Transformational leadership and motivation on community performance. Journal
Bina Praja, 13(2). https://doi.org/10.21787/jbp.13.2021.331-341
EXAMING POS AND JE 97
Rasool, S. F., Wang, M., Tang, M., Saeed, A., & Iqbal, J. (2021). How toxic workplace
environment effects the employee engagement: the mediating role of
organizational support and employee wellbeing. International Journal of
Environmental Research and Public Health, 18(5),
2294. https://doi.org/10.3390/ijerph18052294
Rhoades, L., & Eisenberger, R. (2002). Perceived organizational support: A review of the
literature. Journal of Applied Psychology, 87(4): 698–714.
Rodriguez, A., Ardoin, E., & Landberg, O. (2021). Gen Z and banking: Capturing Gen
Zers as employees. Organization Development Journal, 39(1), 77-85.
Rodriguez, M., Boyer, S., Fleming, D., & Cohen, S. (2019). Managing the next
generation of sales, Gen Z/millennial cusp: An exploration of grit
entrepreneurship, and loyalty. Journal of Business-to-Business Marketing, 26(1),
43-55.
Saks, A. M. (2019). Antecedents and consequences of employee engagement
revisited. Journal of Organizational Effectiveness: People and Performance, 6(1),
19-38. https://doi.org/10.1108/JOEPP-06-2018-0034
Satter, M. (2019). Gen Z will transform the workplace – are employers ready? Property
& Casualty 360. https://go.exlibris.link/p9MqrkKH
Schroth, H. (2019). Are you ready for gen Z in the workplace? California Management
Review, 61(3), 5-18. https://doi.org/10.1177/0008125619841006
Schulze, J., & Krumm, S. (2017). The “virtual team player”: A review and initial model
of knowledge, skills, abilities, and other characteristics for virtual collaboration.
EXAMING POS AND JE 98
Organizational Psychology Review, 7(1), 66–95.
https://doi.org/10.1177/2041386616675522
Sessa, V. I., & Bowling, N. A. (2020). Essentials of Job Attitudes and Other Workplace
Psychological Constructs. Taylor and Francis. ISBN: 9781000282856
Serban, A., Rubenstein, A. L., Bosco, F. A., Reina, C. S., & Grubb, L. K. (2021).
Stressors and social resources of LMX, POS, and their interaction on employee
attitudes. Journal of Business and Psychology, 37, 717-734.
https://doi.org/10.1007/s10869-021-09774
Shanock, L. R., & Eisenberger, R. (2006). When supervisors feel supported:
Relationships with subordinates' perceived supervisor support, perceived
organizational support, and performance. Journal of Applied Psychology, 91(3),
689-695. https://doi.org/10.1037/0021-9010.91.3.689
Sherman, R. O., & Cohn, T. M. (2022). Recruiting millennial and gen Z nurses: Take into
account generational and individual preferences to support retention. American
Nurse Today, 17(8), 4.
Shibiti, R. (2019). Satisfaction with retention factors in relation to job embeddedness of
public school teachers. SA Journal of Human Resource Management, 17(1), 1-9.
https://doi.org/10.4102/sajhrm.v17i0.1161
Shuck, B., Kim, W., & Chai, D.S. (2021), The chicken and egg conundrum: Job
satisfaction or employee engagement and implications for Human Resources. New
Horizons in Adult Education and Human Resource Development, 33, 4-24
Siddique, C. M., Siddique, H. F., & Siddique, S. U. (2020). Linking authoritarian
leadership to employee organizational embeddedness, LMX and performance in a
EXAMING POS AND JE 99
high-power distance culture: a mediation-moderated analysis. Journal of Strategy
and Management, 13(3), 393–411. https://doi.org/10.1108/jsma-10-2019-0185.
Smith, T. A., Boulamatsi, A., Dimotakis, N., Tepper, J. B., Runnalls, B. A., Reina, C. S.,
& Lucianetti, L. (2021). “How dare you?!’: A self-verification perspective on how
performance influences the effects of abusive supervision on job embeddedness
and subsequent turnover. Personnel Psychology, 75, 645-674.
https://doi.org/10.1111/peps.12494
Sun, T., Zhao, X. W., Yang, L. B., & Fan, L. H. (2012). The impact of psychological
capital on job embeddedness and job performance among nurses: A structural
equation approach. Leading Global Nursing Research, 68(1), 68-79.
https://doi.org/10.1111/j.1365-2648.2011.05715.x
Tajfel, H. E. (1978). Differentiation between Social Groups: Studies in the Social
Psychology of Intergroup Relations, Academic Press, New York, NY and
London.
Tatsuse, T., Sekine, M., Yamada, M., Cable, N., Chandola, T., & Marmot, M. G. (2021,
April 23). The Role of facets of job satisfaction in the national and socioeconomic
differences in overall job satisfaction. Journal of Occupational &Amp;
Environmental Medicine, Publish Ahead of
Print. https://doi.org/10.1097/jom.0000000000002226
Thakur, S. J., & Bhatnagar, J. (2017). Mediator analysis of job embeddedness:
Relationship between work-life balance practices and turnover intentions.
Employee Relations, 39(5), 718-731. https://doi.org/10.1108/ER-11-2016-0223
EXAMING POS AND JE 100
Thalgaspitiya, U. K. (2021). Impact of generation gap on job involvement among
administrative officers of the state universities in Sri Lanka†. South Asian Journal
of Management, 28(1), 7-24.
Traeger, C., Alfes, K., & Furstenberg, N. (2022). Perceived organizational support and
volunteer outcomes: Evidence from a German environmental nonprofit
organization. Nonprofit and Voluntary Sector Quarterly, 1-
24. https://doi.org/10.1177/08997640221103292
Tremblay, M., Gaudet, M.-C., & Vandenberghe, C. (2019). The role of group-level
perceived organizational support and collective affective commitment in the
relationship between leaders' directive and supportive behaviors and group-level
helping behaviors. Personnel Review, 48(2), 417–437. https://doi.org/10.1108/pr-
06-2017-0172
Tuckman, B, W. (1965). Developmental sequences in small groups. Psychological
Bulletin, 54, 229-249.
Udod, S. A., & Hammond-Collins, K., & Jenkins, M. (2020). Dynamics of emotional
intelligence and empowerment: The perspectives of middle managers. Sage Open,
10(2), 1-9. https://doi.org/10.1177/2158244020919508
Van Dierendonck, D., & Nuijten, I. (2011). The servant leadership survey: development
and validation of a multidimensional measure. Journal of Business and
Psychology, 26(3), 249-267.
Van Kleef, G. A. (2009). How emotions regulate social life. Current Directions in
Psychological Science, 18(3), 184-188.
EXAMING POS AND JE 101
Wang, D., Qin, Y., & Zhou, W. (2021). The effects of leaders’ prosocial orientation on
employees’ organizational citizenship behavior – The roles of affective
commitment and workplace ostracism. Psychology Research and Behavior
Management, 14, 1171-1185.
Wang, H., Demerouti, E., & Le Blanc, P. (2017). Transformational leadership,
adaptability, and job crafting: The moderating role of organizational
identification. Journal of Vocational Behavior, 100, 185-195.
https://doi.org/10.1016/j.jvb.2017.03.009
Wang, H., Jiao, R., & Li, F. (2022). Research on the effect of narcissistic leadership on
employee job embeddedness. Frontiers in Psychology, 13(13).
https://doi.org/10.3389/fpsyg.2022.927529
Waworuntu, E. C., Kainde, S. J. R., & Mandagi, D. W. (2022). Work-life balance, job
satisfaction and performance among millennial and gen Z employees: A
systematic review. Society (Bangka. Online), 10(2), 384-398.
https://doi.org/10.33019/society.v10i2.464
Weerarathne, R. S., Walpola, C. P., Piyasiri, W. D., Piyasiri, W. D., Wijenayaka, P. C., &
Pathirana, G. Y. (2023). ‘Leave or remain’: intentions of Gen X and Y employees.
Quality and Quantity, 57, 2249–2268. https://doi.org/10.1007/s11135-022-01456-
z
White, M. L., Henderson, D. F., Smith, S. G., & Bell, M. P. (2022). A new look at an old
problem: A positive psychology lens on discrimination – identity builders and
work-related outcomes. Human Resource Management Review, 32(3),
100858. https://doi.org/10.1016/j.hrmr.2021.100858
EXAMING POS AND JE 102
Wolters, A. M. (2005). Creation Regained: Biblical Basics for a Reformational
Worldview (Second Edition). Eerdmans Publishing.
Wong, C. S., & Law, K. S. (2002). The effects of leader and follower emotional
intelligence on performance and attitude: an exploratory study. The Leadership
Quarterly, 13(3), 243-274
Wood, J., Oh, J., Park, J., & Kim, W. (2020). The relationship between work engagement
and work–life balance in organizations: A review of the empirical research.
Human Resource Development Review, 19(3), 240–262.
https://doi.org/10.1177/1534484320917560
Wu, T. J., & Wu, Y. J. (2019). Innovative work behaviors, employee engagement, and
surface acting. Management Decision, 57(11), 3200-
3216. https://doi.org/10.1108/md-02-2018-0196
Yang, H., van Rijn, M. B., & Sanders, K. (2020). Perceived organizational support and
knowledge sharing: Employees' self-construal matters. The International Journal
of Human Resource Management, 31(17), 2217- 2237.
https://doi.org/10.1080/09585192.2018.1443956
Yang, J., Pu, B., & Guan, Z. (2019). Entrepreneurial Leadership and Turnover Intention
in Startups: Mediating Roles of Employees’ Job Embeddedness, Job Satisfaction
and Affective Commitment. Journal of Sustainability, 11.
https://doi.org/10.3390/su11041101
Yogalakshmi, J. A., & Suganthi, L. (2018). Impact of perceived organizational support
and psychological empowerment on affective commitment: Mediation role of
EXAMING POS AND JE 103
individual career self-management. Current Psychology, 39, 885–
899. https://doi.org/10.1007/s12144-018-9799-5
Zhang, L., Fan, C., Deng, Y., Lam, C. F., Hu, E., & Wang, L. (2019). Exploring the
interpersonal determinants of job embeddedness and voluntary (): A conservation
of resources perspective. Human Resource Management Journal, 29(3), 413-
432. https://doi.org/10.1111/1748-8583.12235
Zhou, H., Liu, S., He, Y., & Qian, X. (2022). Linking ethical leadership to employees’
emotional exhaustion: A chain mediation model. Leadership & Organization
Development Journal, 43(5). https://doi.org/10.1108/lodj-10-2021-0452
EXAMING POS AND JE 104
APPENDIX A: SITE AUTHORIZATION
International Hospitality Institute Group (183,000 members) on LinkedIn
May 7, 2023
Dr. J
CEO
Dear Tyler Swansboro:
After careful review of your research proposal entitled Examining Perceived
Organizational Support (POS) and Job Embeddedness in the Leisure and Hospitality
Industry, [I/we] have decided to grant you permission to post on our LinkedIn group and
invite them to participate in your study.
Check the following boxes, as applicable:
[[I/We] will grant permission to post on our social media group to Tyler
Swansboro, and Tyler Swansboro may use the social media group to contact our
members to invite them to participate in [his/her] research study.
[[I/We] grant permission for Tyler Swansboro to contact service industry workers
to invite them to participate in [his/her] research study.
[[I/We] will not provide potential participant information to Tyler Swansboro, but we
agree to [[send/provide] [his/her] study information to [description of potential
participants] on [his/her] behalf.]
Miscellaneous
[[I/We] are requesting a copy of the results upon study completion and/or
publication.]
Sincerely,
Dr. J
Admin, International Hospitality Institute
EXAMING POS AND JE 105
Research Updates (Masters / PhD / PostDoc / Job) Facebook Group (19,500
members)
May 8, 2023
V. L
xxxxxxx
Research Updates (Masters / PhD / PostDoc / Job)
Konkuk University
Dear Tyler Swansboro:
After careful review of your research proposal entitled Examining Perceived
Organizational Support (POS) and Job Embeddedness in the Leisure and Hospitality
Industry, [I/we] have decided to grant you permission to post on our Facebook group and
invite them to participate in your study.
Check the following boxes, as applicable:
[[I/We] will grant permission to post on our social media group to Tyler
Swansboro, and Tyler Swansboro may use the social media group to contact our
members to invite them to participate in [his/her] research study.
[[I/We] grant permission for Tyler Swansboro to contact service industry workers
to invite them to participate in [his/her] research study.
[[I/We] will not provide potential participant information to Tyler Swansboro, but we
agree to [[send/provide] [his/her] study information to [description of potential
participants] on [his/her] behalf.]
Miscellaneous
[[I/We] are requesting a copy of the results upon study completion and/or
publication.]
Sincerely,
V. L
xxxxxxx
Konkuk University
Moderator, Research Updates (Masters / PhD / PostDoc / Job)
EXAMING POS AND JE 106
Instructors Exclusive Facebook Group (823 members)
May 14, 2023
R. C
xxxxxxxx
Safety and Training Administrator
Arizona, US
Dear Tyler Swansboro:
After careful review of your research proposal entitled Examining Perceived
Organizational Support (POS) and Job Embeddedness in the Leisure and Hospitality
Industry, [I/we] have decided to grant you permission to post on our Facebook group and
invite them to participate in your study.
Check the following boxes, as applicable:
[[I/We] will grant permission to post on our social media group to Tyler
Swansboro, and Tyler Swansboro may use the social media group to contact our
members to invite them to participate in [his/her] research study.
[[I/We] grant permission for Tyler Swansboro to contact service industry workers
to invite them to participate in [his/her] research study.
[[I/We] will not provide potential participant information to Tyler Swansboro, but we
agree to [[send/provide] [his/her] study information to [description of potential
participants] on [his/her] behalf.]
Miscellaneous
[[I/We] are requesting a copy of the results upon study completion and/or
publication.]
Sincerely,
R. C
xxxxxxxx
Safety and Training Administrator
Administrator, Instructors Exclusive Facebook Group
EXAMING POS AND JE 107
APPENDIX B: PERMISSION TO USE SURVEYS
Global Measure of Job Embeddedness
PsycTESTS Citation: Crossley, C. D., Bennett, R. J., Jex, S. M., & Burnfield, J.
L. (2007). Global Measure of Job Embeddedness [Database record]. Retrieved from
PsycTESTS. doi: https://doi.org/10.1037/t02914-000 Instrument Type: Test. Test Format:
Participants indicate their level of agreement with each item on a 5-point scale (5 =
strongly agree).
Permissions: Test content may be reproduced and used for non-commercial
research and educational purposes without seeking written permission. Distribution must
be controlled, meaning only to the participants engaged in the research or enrolled in the
educational activity. Any other type of reproduction or distribution of test content is not
authorized without written permission from the author and publisher. Always include a
credit line that contains the source citation and copyright owner when writing about or
using any test.
Survey of Perceived Organizational Support--Shortened Version
Note: Test name created by PsycTESTS PsycTESTS Citation: Hochwarter, W.
A., Kacmar, C., Perrewé, P. L., & Johnson, D. (2003). Survey of Perceived
Organizational Support--Shortened Version [Database record]. Retrieved from
PsycTESTS. doi: https://doi.org/10.1037/t09789-000 Instrument Type: Survey Test
Format: Responses for the 8 items of the measure range from strongly disagree (1) to
strongly agree (7
Permissions: Test content may be reproduced and used for non-commercial
research and educational purposes without seeking written permission. Distribution must
EXAMING POS AND JE 108
be controlled, meaning only to the participants engaged in the research or enrolled in the
educational activity. Any other type of reproduction or distribution of test content is not
authorized without written permission from the author and publisher. Always include a
credit line that contains the source citation and copyright owner when writing about or
using any test.
Turnover Intention Scale
Note: Test name created by PsycTESTS, PsycTESTS Citation:
Cohen, A. (1999). Turnover Intention Scale [Database record]. Retrieved from
PsycTESTS. doi:
https://dx.doi.org/10.1037/t10116-000
Instrument Type: Rating Scale. Test Format: Turnover Intention Scale responses are rated
on a scale from 1 (strongly agree) to 5 (strongly disagree). Source:
Cohen, Aaron. (1999). The relation between commitment forms and work outcomes in
Jewish and Arab culture. Journal of Vocational Behavior,54(3), 371-391. doi:
https://doi.org/10.1006/jvbe.1998.1669, © 1999 by Elsevier. Reproduced by Permission
of Elsevier.
Permissions: Test content may be reproduced and used for non-commercial research and
educational purposes without seeking written permission. Distribution must be
controlled, meaning only to the participants engaged in the research or enrolled in the
educational activity. Any other type of reproduction or distribution of test content is not
authorized without written permission from the author and publisher. Always include a
credit line that contains the source citation and copyright owner when writing about or
using any test.
EXAMING POS AND JE 109
APPENDIX C: QUESTIONNAIRE
Informed Consent
Title of the Project:
EXAMINING PERCEIVED ORGANIZATIONAL SUPPORT AND JOB
EMBEDDEDNESS
Principal Investigator:
Tyler Swansboro, Liberty University, Doctoral Candidate
You are invited to participate in a research study. To participate, you must be
between the age of 18 to 25 and have worked for at least 6 months in a leisure and
hospitality related job. Taking part in this research project is voluntary. Please take time
to read this entire form and ask questions before deciding whether to take part in this
research.
Purpose
The purpose of the study is to further understand the phenomenon of retention
within this industry through the relationship of the following variables: Perceived
Organizational Support, Job Embeddedness, Motivation, and Leadership.
If you agree to be in this study, I will ask you to do the following:
Provide consent
Fill out the survey (10 – 15 minutes)
Participants should not expect to receive a direct benefit from taking part in this
study. Benefits to society include helping companies adapt to new generations entering
the workforce while giving the younger generation expectations on what to expect when
entering the workforce.
EXAMING POS AND JE 110
Risk / Participation
The expected risks from participating in this study are minimal, which means they are
equal to the risks you would encounter in everyday life. The records of this study will be
kept private. No identifiable information will be collected. Research records will be
stored securely, and only the researcher will have access to the records. Participant
responses will be anonymous, and the data will be stored on a locked local file on the
researchers’ computer. After three years, all electronic data will be deleted. Participants
will not be compensated. Participation in this study is voluntary. Your decision whether
to participate will not affect your current or future relations with Liberty University. If
you decide to participate, you are free to not answer any question or withdraw at any
time. If you choose to withdraw from the study, please exit the survey and close the tab,
do not submit the survey. Your responses will not be recorded or included in the study.
Questions / Concerns?
The researcher conducting this study is Tyler Swansboro. You may ask any questions
you have now. If you have questions later, you are encouraged to contact him at
@liberty.edu.
Whom do you contact if you have questions about your rights as a research
participant?
If you have any questions or concerns regarding this study and would like to talk to
someone other than the researcher[s], you are encouraged to contact the IRB. Our
physical address is Institutional Review Board, 1971 University Blvd., Green Hall Ste.
2845, Lynchburg, VA, 24515; our phone number is 434-592-5530, and our email address
Disclaimer: The Institutional Review Board (IRB) is tasked with ensuring that human
subjects research will be conducted in an ethical manner as defined and required by
federal regulations. The topics covered and viewpoints expressed or alluded to by student
EXAMING POS AND JE 111
and faculty researchers are those of the researchers and do not necessarily reflect the
official policies or positions of Liberty University.
Your Consent
Before agreeing to be part of the research, please be sure that you understand what the
study is about. You will be given a copy of this document for your records. If you have
any questions about the study later, you can contact the researcher using the information
provided above.
I have read and understood the above information. I have asked questions and have
received answers. I consent to participate in the study.
Click “Next” if you provide consent to participate in this study.
Survey
Survey of Perceived Organizational Support
Scale: Strongly disagree (1) to strongly agree (7)
1. My organization considers my goals and values
2. My organization really cares about my well-being
3. My organization shows little concern for me (R)
4. My organization would forgive an honest mistake on my part
5. My organization cares about my opinion
6. If given the opportunity, my organization would take advantage of me (R)
7. Help is available from my organization when I have a problem
8. My organization is willing to help me when I need a special favor
Job Embeddedness
Scale: Strongly disagree (1) to strongly agree (5)
I feel attached to this organization.
It would be difficult for me to leave this organization.
I’m too caught up in this organization to leave.
EXAMING POS AND JE 112
I feel tied to this organization.
I simply could not leave the organization that I work for.
It would be easy for me to leave this organization. (R)
I am tightly connected to this organization.
Retention
Scale: strongly agree (1) to strongly disagree (5),
I think a lot about leaving the job.
I am actively searching for an alternative to the job.
As soon as it is possible, I will leave the job.
*(R) indicates reverse scoring.
EXAMING POS AND JE 113
APPENDIX D: PERMISSION RESPONSE DOCUMENT
Dear (recipient),
As a graduate student in the Behavioral Science department at Liberty University, I am
conducting research as part of the requirements for a Doctoral degree in Organizational
Psychology. The title of my research project is Examining Perceived Organizational
Support (POS) and Job Embeddedness in the Leisure and Hospitality Industry, and the
purpose of my research is further to understand the phenomenon of retention within this
industry. I am specifically targeting the younger generation that is entering the workforce,
ages 18-25.
I am writing to request your permission to conduct my research utilizing your LinkedIn
Group to recruit participants for my research. Participants will be asked to complete the
attached survey. The data will be used to evaluate the relationship between POS and JE
on retention, and the impact of leadership and motivation.
Participants will be presented with informed consent information prior to participating.
Taking part in this study is completely voluntary, participants are welcome to discontinue
participation at any time, and their identities will remain anonymous.
Thank you for considering my request. If you choose to grant permission, please respond
by email to @liberty.edu
A permission letter document is attached for your convenience.
Sincerely,
Tyler Swansboro, MBA
Ph.D. Student, Liberty University
EXAMING POS AND JE 114
APPENDIX E: PERMISSION RESPONSE TEMPLATE
[Date]
[Recipient]
[Title]
[Company]
[Address 1]
Dear Tyler Swansboro:
After careful review of your research proposal entitled Examining Perceived
Organizational Support (POS) and Job Embeddedness in the Leisure and Hospitality
Industry, [I/we] have decided to grant you permission to post on our Facebook group and
invite them to participate in your study.
Check the following boxes, as applicable:
[[I/We] will grant permission to post on our social media group to Tyler Swansboro,
and Tyler Swansboro may use the social media group to contact our members to invite
them to participate in [his/her] research study.
[[I/We] grant permission for Tyler Swansboro to contact service industry workers to
invite them to participate in [his/her] research study.
[[I/We] will not provide potential participant information to Tyler Swansboro, but we
agree to [[send/provide] [his/her] study information to [description of potential
participants] on [his/her] behalf.]
Miscellaneous
[[I/We] are requesting a copy of the results upon study completion and/or
publication.]
Sincerely,
[Official’s Name]
[Official’s Title]
[Official’s Company/Organization/relationship to the social media page]
EXAMING POS AND JE 115
APPENDIX F: FACEBOOK POST FOR DATA COLLECTION
ATTENTION FACEBOOK FRIENDS: I am conducting research as part of the
requirements for a doctor of psychology degree at Liberty University. The purpose of my
research is to better understand retention in the leisure and hospitality industry for young
adults ages 18 to 25. To participate, you must be currently working in a service related,
hospitality, or leisure job and be between the ages of 18 to 25. Participants will be asked
to complete an anonymous online survey, which should take about 10 minutes. If you
would like to participate and meet the study criteria, please click the link provided at the
end of this post. A consent document will be provided as the first page of the survey.
Please review this page, and if you agree to participate, click the “proceed to survey”
button at the end.
See attached survey.