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2021

Hospitality Industry Employee Turnover Hospitality Industry Employee Turnover

Ericka Dolores Willie Walden University

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Walden University

College of Management and Technology

This is to certify that the doctoral study by

Ericka D. Willie

has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made.

Review Committee Dr. Craig Martin, Committee Chairperson, Doctor of Business Administration Faculty

Dr. Michael Lavelle, Committee Member, Doctor of Business Administration Faculty

Dr. Richard Johnson, University Reviewer, Doctor of Business Administration Faculty

Chief Academic Officer and Provost Sue Subocz, Ph.D.

Walden University 2021

Abstract

Hospitality Industry Employee Turnover

by

Ericka D. Willie

MPA, University of the Virgin Islands, 2015

BS, University of the Virgin Islands, 2013

Doctoral Study Submitted in Partial Fulfillment

of the Requirements for the Degree of

Doctor of Business Administration

Walden University

March 2021

Abstract

Employee turnover is detrimental to organizational performance, productivity, and

profitability. Decreasing employee turnover is important for hospitality leaders to

increase employee productivity, raise customer satisfaction and increase organizational

profits. Grounded in Herzberg’s motivation-hygiene theory, the purpose of this

quantitative correlational study was to examine the relationship between employee

perceptions of work experience, supervisory practices, employee compensation, and

employee turnover. The participants were 100 employees who worked in the hospitality

industry on the island of St. Croix. The Employee Turnover Survey was the instrument

used in this study and was conducted via Survey Monkey. The results of the multiple

linear regression analysis were statistically significant, F (3, 96) = 9.08, p <.001, (R2) =

0.22. The three predictor variables, employee perceptions of working experience,

supervisory practices, and employee compensation, made a statistically significant

contribution to the model. A key recommendation is for hospitality leaders to implement

policies and strategies to retain skilled workers. The implications for positive social

change include the potential to provide hospitality leaders with a foundation for future

research on employee perceptions of work experience, supervisory practices, employee

compensation, and employee turnover.

Hospitality Industry Employee Turnover

by

Ericka D. Willie

MPA, University of the Virgin Islands, 2015

BS, University of the Virgin Islands, 2013

Doctoral Study Submitted in Partial Fulfillment

of the Requirements for the Degree of

Doctor of Business Administration

Walden University

March 2021

Dedication

I would like to dedicate this work to God Almighty, who I relied upon to give me

the strength and knowledge to complete this educational journey, and to my amazing

grandmother Christalia Bess (deceased), who always instilled within me that education is

the key to success. To my mother, Dolores Bess, thank you for always pushing me to

achieve any goal I set forward to accomplish. You are and will always be my biggest

inspiration. To my siblings, Erick Willie and Terique Riviere, thank you for your

continued support and motivation. To my spouse, Lionel Williams Jr., and my children,

thank you for your unwavering support, and I hope I have made you all proud. I would

not be the person I am today without this strong family foundation.

Acknowledgments

I would like to gratefully acknowledge my chair Dr. Craig Martin and second

committee member Dr. Michael Lavelle for their leadership and guidance throughout this

doctoral journey. Dr. Mike, your feedback challenged me to improve my research and

writing. Thank you both for your endless support and understanding throughout this

journey. I also want to thank all the participants who willingly helped me complete the

collection of data for my study. Finally, I would like to thank my family and friends for

their love, support, and understanding.

i

Table of Contents

List of Tables .......................................................................................................................v

List of Figures .................................................................................................................... vi

Section 1: Foundation of the Study ......................................................................................1

Background of the Problem ...........................................................................................1

Problem Statement .........................................................................................................2

Purpose Statement ..........................................................................................................2

Nature of the Study ........................................................................................................3

Research Question…………………………………………………………………….5

Hypotheses ....................................................................................................................5

Theoretical Framework ..................................................................................................5

Operational Definitions ..................................................................................................6

Assumptions, Limitations, and Delimitations ................................................................6

Assumptions ............................................................................................................ 7

Limitations .............................................................................................................. 8

Delimitations ........................................................................................................... 8

Significance of the Study .....................................................................................................9

Value to the Business……………………………………………………………. 9

Contribution to Business Practice ......................................................................... 10

Implications for Social Change ............................................................................. 10

A Review of the Professional and Academic Literature ................................................11

Herzberg's Motivation-Hygiene Theory ................................................................12

ii

Past studies utilizing the Two-Factor Theory ........................................................27

Alternative Theories................................................................................................30

The Price and Mueller 1981 and 1986 Turnover Models .......................................32

History of the Hospitality Industry .........................................................................33

Understanding Employee Turnover ........................................................................37

Factors Contributing to High Employee Turnover .................................................44

Transition ………………………………………………………………………...….49 Section 2: The Project ........................................................................................................50

Purpose Statement ........................................................................................................50

Role of the Researcher .................................................................................................50

Participants ...................................................................................................................52

Research Method and Design ......................................................................................52

Research Method .................................................................................................. 53

Research Design.................................................................................................... 54

Population and Sampling ............................................................................................55

Ethical Research...........................................................................................................58

Data Collection Instruments ........................................................................................60

Data Collection Technique ..........................................................................................64

Data Analysis ...............................................................................................................66

Statistical Analysis……………………………………………………………...66 Assumptions………………………………………………………………….…68 Measurement Error …………………………………………………………….68

iii

Normality………………………………………………………………………68 Linearity……………………………………………………………………….69 Multicollinearity……………………………………………………………….69 Homoscedasticity……………………………………………………………….69 Violation of Assumptions……………………………………………………....70 Software Data……………………………………………………………………70

Study Validity ..............................................................................................................71

Internal Validity………………………………………………………………71 External Validity……………………………………………………………...73

Transition and Summary ..............................................................................................73

Section 3: Application to Professional Practice and Implications for Change ..................75

Introduction ..................................................................................................................75

Presentation of the Findings ........................................................................................75

Descriptive Statistics………………………………………………………….75 Pearson Product-moment Correlation Coefficient…………………………….87 Inferential Results…...………………………………………………………...88

Applications to Professional Practice ..........................................................................93

Implications for Social Change ....................................................................................94

Recommendations for Action ......................................................................................96

Recommendations for Further Research ......................................................................97

Reflections ...................................................................................................................98

Conclusion ...................................................................................................................98

iv

References ........................................................................................................................100

Appendix A: Employee Turnover Survey .......................................................................132

Appendix B: Permission to use Employee Turnover Survey ..........................................135

Appendix C: Invitation to Participate in a Research ........................................................136

Appendix D: Human Research Certificate of Completion ..............................................137

v

List of Tables

Table 1. Sources in Literature Review ...............................................................................12

Table 2. Descriptive Statistics............................................................................................77

Table 3. Sources in Literature Review ...............................................................................77

Table 4. Frequency Distributions of Hospitality Employee’s by Age ...............................79

Table 5. Pearson Product-Moment Correlation Coefficients Between Predictor

Variables and Employee Turnover ........................................................................88

Table 6. Regression Analysis Summary for Predictor Variables and Employee

Turnover .................................................................................................................89

vi

List of Figures

Figure 1. Power as a function of sample size.....................................................................57

Figure 2. Hospitality participants’ gender distribution (N = 100) .....................................78

Figure 3. Hospitality participants’ age distribution (N = 100) ..........................................79

Figure 4. Histogram representing employee perceptions of work experience responses ..80

Figure 5. Histogram representing employee compensation responses ..............................81

Figure 6. Histogram representing the company .................................................................82

Figure 7. Histogram representing supervisor practices ......................................................83

Figure 8. Most common reasons why individual leave the hospitality industry ...............85

Figure 9. A graph representing the reasons why the participants might have stayed with

the company .......................................................................................................................86

1

Section 1: Foundation of the Study

Employee turnover can have an impact on the success of agencies. The turnover

of high-performing workers is costly for any agency, and the increase in expenditures

will influence the agency’s financial stability (Voigt & Hirst, 2015). Therefore,

understanding the causes of employee turnover is critical for organizational leaders to

help reduce turnover. Focusing on how to keep employees is imperative to managers’

ability to create a stable and loyal workforce (Alolayan & Saidi, 2015). Organizational

leaders who are knowledgeable about factors that influence employee turnover can help

reduce turnover. The purpose of this quantitative correlational study was to examine the

relationship between employee perceptions of work experience, supervisory practices,

employee compensation and employee turnover.

Background of the Problem

High employee turnover rates often lead to business failure, an unmotivated

workforce, and a lack of attractiveness to skilled workers in the hospitality industry

(Surji, 2015). If organizations have a high turnover relative to competitors, the employees

in the industry may have a shorter average tenure than those of other organizations in the

same sector (Swarbalatha & Prasanna, 2014). High employee turnover can harm an

industry’s productivity when skilled workers leave, and the employee population contains

a high percentage of novice workers (Utoro & Gustomo, 2014). Hospitality leaders need

strategies and policies to maintain an adequate workforce. Organizational leaders need

help to improve employee engagement, motivation, and reduce employee turnover in the

industry (Marshall, Mottier, & Lewis, 2016).

2

Employee turnover has been found to cost organizations more than $25 billion a

year (Bureau of Labor Statistics, 2014). Chang, Wang, and Huang (2013) stated that

other findings resulted from a narrow focus, omitting an address of the immediate and

long-term consequences of employee attrition. Determining the principal reasons

hospitality employees leave their positions in such great numbers is difficult. Even

though researchers such as Chang et al. (2013), have examined different aspects of

workplace factors involving leaders and coworkers as hospitality professionals, there is a

continuing need for additional study of the various types of relationships among variables

pertaining to turnover for hospitality workers. Hospitality leaders can use findings related

to employee turnover to implement strategies to reduce high turnover rates in the

industry.

Problem Statement

Employee turnover is detrimental to organizational performance, productivity,

and profitability, leading to a loss of diverse financial and intellectual resources and

assets (Okae, 2018). According to the Virgin Islands Bureau of Labor Statistics (2019),

the overall annual employee turnover rate for the hospitality industry in the United States

Virgin Islands from 2009 to 2018 was 6.9%, with the 2015 average being 4.2% (Virgin

Islands Bureau of Labor Statistics, 2019). The general business problem is that employee

turnover is detrimental to the profitability of businesses in the hospitality industry. The

specific business problem was that some hospitality leaders do not know the relationship

of employee perceptions of work experience, supervisory practices, employee

compensation, and employee turnover.

3

Purpose Statement

The purpose of the quantitative correlational study was to examine the

relationship of employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover. The independent variables are work

experience, supervisory practices, and employee compensation. The dependent variable is

employee turnover. The target population for the study consisted of employees in the

hospitality industry on the island of St. Croix, U.S. Virgin Islands. The implications for

positive social change include improved work-life experiences for employees by reducing

stress and increasing earning potentials for employees who benefit from the improvement

to business practices (Kumar & Chakraborty, 2013).

Nature of the Study

Three methodologies to use in research are qualitative, quantitative, and mixed-

methods (Saunders, Lewis, & Thornhill, 2015). I chose a quantitative method for this

study. In a quantitative research study, the researcher collects and analyzes numerical

data to help draw conclusions about the relationship among variables and predictors

(Albers, 2017). The quantitative method is appropriate when researchers intend to

examine the relationship between variables and predictors (Saunders et al., 2015). The

quantitative method was appropriate for this study because the purpose was to examine

the relationship of employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover in the hospitality industry. The

qualitative method was not appropriate for the research as the purpose of qualitative

methodology is to advance an in-depth understanding of observed behavior (Merriam &

4

Tisdell, 2016). A researcher in a qualitative study should demonstrate data analysis

precisely, consistently, and exhaustively through recording, systematizing, and disclosing

the methods of analysis (Nowell, Norris, White, & Moules, 2017). The qualitative

method is used to explores and understands why and how the targeted participant

experienced the phenomenon, which was not the case in this study. Mixed-method

research collects and analyzes both quantitative and qualitative data (Snelson, 2016).

Also, the mixed-method approach is time-consuming and costly. The mixed-method

approach was not appropriate as it requires too much time and costs too much to be

feasible for this research (Caruth, 2013). A mixed-method includes addressing different

research questions in one study and strengthening the study by mitigating the inherent

weaknesses of a single methods (Caruth, 2013).

I have chosen the correlation design for this study. The correlational design was

appropriate for the study because I examined relationships between the predictor

variables and the dependent variable. The correlational design was appropriate to

determine the relationship employee compensation, work experience, and supervisory

practices have on employee turnover in the hospitality industry. A quasi-experimental

design was not appropriate because there was no treatment or control group (Turner,

Balmer, & Coverdale, 2015). Since the focus of the study was to determine a relationship

between variables a correlation design was the most appropriate choice.

5

Research Question

What is the relationship between employee perceptions of work experience,

supervisory practices, employee compensation and employee turnover in the hospitality

industry?

Hypotheses

Null Hypothesis (H0): There is no significant relationship between employee

perceptions of work experience, supervisory practices, employee compensation, and

employee turnover in the hospitality industry.

Alternative Hypothesis (H1): There is a significant relationship between employee

perceptions of working experience, supervisory practices, employee compensation, and

employee turnover in the hospitality industry.

Theoretical Framework

The theoretical framework for the study was Herzberg’s motivation-hygiene

theory. In 1959, Herzberg, Mausner, and Snyderman first published and the motivation-

hygiene theory. Herzberg’s theory differentiates between motivation (intrinsic) and

hygiene (extrinsic) factors. Motivation factors should only improve job satisfaction levels

while hygiene factors reduce job dissatisfaction (Alshmemri, Shahwan-Aklm & Maude,

2017). Herzberg stated work should bring pleasure and satisfaction. Herzberg’s theory

revealed the roots of the real motivation for work and rooted in the factors influencing the

content of the work done (Krasniqi, 2018). Motivation factors are (a) achievement, (b)

recognition, (c) work experience, (d) responsibility, (e) advancement, and (f) growth. The

factors provide positive satisfaction known as intrinsic conditions of the job. Hygiene

6

factors are (a) company policies, (b) supervisory practices, (c) salary, (d) work

conditions, (e) fringe benefits, (f) job security, and (g) vacation. Lack of hygiene factors

leads to dissatisfaction, which is also known as extrinsic conditions of the job

(Alshmemri et al., 2017). Herzberg’s motivation-hygiene theory includes factors about

increased motivation and satisfaction to reduce employee turnover intentions. Hospitality

leaders can use Herzberg’s (1959) theory to understand the effects of employee turnover

in any organizational success (Mosadeghrad & Ferdosi, 2013). The theory was relevant in

determining the factors affecting employee turnover in the hospitality industry.

Operational Definitions

The following terms are specific to the topic of employee turnover in the hospitality

industry. The definitions of the terms will assist readers in understanding the context of

the research.

Employee compensation. Employee compensation is a primary motivator for

employees and rewards for employee’s performance (Kumar Das & Mohapatra, 2015).

Employee turnover. Employee turnover is measured by the number of

organizational members who have left during the period being considered divided by the

average number of people in the organization during the period. (Ongori, 2007).

Hospitality Industry. Hospitality Industry is a broad category of fields in the

service industry which includes lodging, event planning, theme parks, transportation,

cruise lines, and others in the tourism industry (Raghavendra & Nijaguna, 2015).

Hygiene factors. Hygiene is an extrinsic job factor such as policy and procedures,

working conditions, salary, and supportive supervisors (Herzberg, 1976).

7

Motivator factors. Intrinsic factors impact workers’ performance and job

satisfaction, such as achievement, job interest, promotion potential, recognition, and

growth (Sankar, 2015).

Supervisory practices. Supervisory practices are the behaviors and strategies

utilized by supervisors to motivate and retain employees (Alfayad & Arif, 2017).

Turnover intention. Belete (2018) defined turnover intention as an employee’s

thoughts or plan to exit an organization.

Work experience. Work experience is any experience that a person gains while

working in a specific field or occupation (Dwesini, 2019).

Assumptions, Limitations, and Delimitations

Assumptions

Assumptions represent information in the study researchers may deem to be true;

however, no verification process exists to confirm the information (Waller, Hockin, &

Smith, 2017). The first assumption was that participants would be truthful in their

responses. The second assumption focuses on the participants’ ability to put personal

biases aside and respond objectively to the survey. The experiences, values, and morals

of participants may differ from other individuals and this would complicate the findings.

The third assumption was that my choice of questionnaires for data collection provided

the best method to acquire information on the perceived reasons individuals may choose,

or have chosen, to leave their chosen career paths in the hospitality industry.

8

Limitations

Limitations are the inability to control thoroughly all variables creating data

validity risks (Bryman & Bell, 2015). Limitations are factors beyond a researcher’s

control. Limitations create weaknesses in a study (Horga, Kaur, & Peterson, 2015). In the

quantitative correlational study, there was one limitation, which was the sample size of

participants, which represents within statistical range the mean of the population. The

research population consisted of employees in the hospitality industry on the island of St.

Croix, U.S. Virgin Islands. Another limitation was considering the voluntary status of

participants. Because participants may withdraw or change employers at any time,

participants who completed the study might not have been truly representative of the

complete population.

Delimitations

Delimitations are characteristics in a study the researcher controls to determine

the parameters or bounds of the study (Lo, 2016). The first delimitation was the

geographical location of the population in St. Croix, U.S. Virgin Islands, to provide

researcher convenience. The use of hospitality employees in St. Croix, U.S. Virgin

Islands could potentially restrict the generalizability of the results. The results of the

study might not apply to hospitality employees outside of St. Croix. The second

delimitation was hospitality employees who are in leadership positions will not

participate in the research study.

9

Significance of the Study

This section covers three areas of the study: (a) value to the business, (b)

contribution to the business practice, and (c) implications for social change. Business

leaders and human resources personnel can develop retention policies and strategies

commensurate with increases in human capital assets. According to Holston (2017),

understanding the policies and strategies hospitality leaders are implementing in their

practices results in insights about successful and effective methods to retain employees,

while potentially reducing the costs associated with employee turnover, safeguarding the

organization’s operational efficiency, and sustaining competitiveness in the market.

Value to the Business

High turnover rates can harm employees and the hospitality industry. The results

from the study may provide leaders in the hospitality industry with data to create strategic

plans to diminish employee turnover rates while increasing profitability. Understanding

the importance of employee turnover and bringing awareness to the issue are two main

contributing factors. Leaders in the hospitality industry need to be aware of the

contributing factors because the factors could potentially improve the workforce in the

organization.

Contribution to Business Practice

The study may equip hospitality leaders with ways to reduce employee turnover.

The findings may help leaders to become aware of strategies to implement to help

employees engage at a high level. The results of the study can help leaders build the

necessary relationships to improve the overall climate and culture of a workplace. For

10

example, implementing a mentoring program and recognizing employees work have been

identified as successful retention strategies (Chen, 2010). By conducting the study, I

helped contribute to business practice by providing hospitality leaders with turnover

policies and strategies to use in business processes to retain skilled hospitality employees.

Business leaders should retain their employees to increase their business profit margin

and productivity within the organization (Buckingham & Coffman, 2007). Hospitality

leaders need to understand the policies and strategies to implement in business practices.

Understanding policies and strategies can help hospitality leaders reduce the costs

associated with employee turnover and can sustain competitiveness in the market.

Leaders can use the results from this study to evaluate the effectiveness of the current

employee turnover policies and strategies to retain their workers.

Implications for Social Change

Implications for positive social change include identifying new policies, and

strategies; and decreasing employee turnover in the hospitality industry (William &

Glisson, 2015). Decreasing employee turnover could lead to increased success within the

hospitality industry, which might positively influence productivity, raise customer

satisfaction, and ultimately increase organizational profits. The information from the

study might contribute to positive social change by modifying the employer’s view of

employees, which might increase the quality of employees’ work life (Watty-Benjamin &

Udechukwu, 2015). Scholars might be able to use the results of the study to gain a

broader perspective and gain a better understanding of the research topic.

11

A Review of the Professional and Academic Literature

In the literature review, I examine research findings on the impact of employee

turnover on the hospitality industry. I review the literature incorporating factors relating

to employee turnover rates in the hospitality industry. Understanding the factors

influencing employee turnover is critical for organizational leaders (Trevor & Brown,

2015). The literature review contains current research primarily from peer-reviewed

journal articles, nonpeer-reviewed journal articles, seminal works, and scholarly books

published within the past 5 years. The review of the academic and professional literature

includes a discussion of theories, rival theories, and the factors affecting employee

turnover rate. The literature review begun with a discussion of the theoretical framework.

I presented a review of literature on various themes including the history of the

hospitality industry, understanding employee turnover, the negative effect of employee

turnover in the hospitality industry, and factors contributing to high employee turnover in

the hospitality industry to reduce employee turnover. The theoretical framework, theories

addressing employee turnover, and the consequences of employee turnover on

businesses, are relevant to the research. The review ends with a transition to the next

section. To conduct the literature review, I used the following databases: Academic

Search Complete, Business Source Complete, Emerald Insight, and ProQuest Central

through Walden University Library. Also, I used the Google Scholar search engine. I

used the following keywords and phrases when searching: hygiene factors, motivator

factors, Herzberg’s motivation-hygiene theory, employee turnover, employee

compensation, and hospitality industry. The literature review includes 216 resources,

12

with 85% published in the last 5 years, and 96% are peer-reviewed. See Table 1 for a

summary of the source materials.

Table 1

Sources in Literature Review

Sources of content

Total sources

Peer-reviewed sources

published within 5 years

Peer-reviewed sources

published beyond 5 years

% of peer- reviewed articles and government sources within 5

years

Articles 213 183 30

Books 3 2 1

Government sources

5 3 2

Total 221 188 33 86%

Herzberg’s Motivation-Hygiene Theory

The theory applied to support the study was the Herzberg motivation-hygiene

theory (1959). To understand employees’ behavior at work, leaders must be aware of the

concept of employee needs and/or what motivates employees to act. Content theorists

assume various needs motivate the actions of individuals (Osabiya, 2015). Alderfer

(1969), Herzberg et al. (1959), Maslow (1943), and McClelland (1995) were famous

theorists. However, I focused on Herzberg’s motivation theory.

Frederick Herzberg proposed the theory and focus on the effect of internal and

external factors on job satisfaction as fundamental human needs. Herzberg (1959)

conducted a study in Pittsburgh using 200 engineers and accountants to explore factors

contributing to employee job satisfaction and motivation toward employment. The

engineers and accountants described job experiences as to whether it was extremely bad

13

or exceptionally good and their feelings on their experiences. The responses about good

feelings are job content known as motivators. The responses about bad feelings are job

context known as the hygiene factor. The main purpose of Herzberg’s theory was to show

certain factors contributing to positive attitudes toward work and other factors

contributing to negative attitudes towards work (Alshmemri et al., 2017). Herzberg

(1959) coined job satisfying characteristics and job dissatisfying characteristics as

motivators and hygiene factors. Herzberg (1959) identified the following motivational

constructs affecting employees’ motivation and job satisfaction: (a) achievement, (b)

responsibility, (c) employees’ perception, (d) career advancement, (e) recognition, and (f)

growth and promotional opportunities.

Herzberg (1965b) replicated the original study in 1965 with 139 lower-level

supervisors representing various industries in Finland. Herzberg (1959) findings

supported the original findings and provided cross-cultural validation of the two-factor

theory. Herzberg (1965a) also documented a subsequent study of job motivation in

Russia, then the Union of Soviet Socialist Republics, conducted by representatives of the

Sociological Research Laboratory at the University of Leningrad. The researchers

sampled 2,665 workers employed in a variety of heavy and light industries located in the

city of Leningrad. The researchers found mostly effective and important attitudinal factor

for an effective job was satisfaction with the kind of work performed (Herzberg, 1965a).

The conclusion reflected Herzberg et al.’s (1959) original identification of the work itself

being a motivational factor.

14

A significant point from Herzberg et al.’s (1959) research was the perception of

motivators and hygiene factors as two contrasting factors affecting different areas of job

satisfaction. Herzberg (1966) discussed the hygiene factors preventing dissatisfaction, but

not leading to satisfaction. The hygiene factors were mainly interferences in the

workplace (Lazaroiu, 2015). Hygiene factors were necessary only to avoid bad feelings at

work. Hygiene factors could not motivate and, when used to achieve the goal, could

produce negative effects long term (Herzberg, 1966). A hygienic environment prevents

discontent with a job.

Motivation factors. Motivational needs work collaboratively with the nature of

the work itself. The factors leading to job satisfaction are fulfilled through individuals’

need for self-actualization at work. The motivational factors assist in increasing employee

job satisfaction. The factors also increase efficiency and ultimately lead to an increase in

organizational success and effectiveness (Chu & Kuo, 2015). To effectively motivate

employees, leaders must invest the time to understand what motivates their staff

members. According to Baumeister (2016), motivation is the process of influencing

individuals to behave in a manner to achieve outcomes or objectives. Additionally,

motivation is the willingness to do something conditioned upon the action’s ability to

satisfy some need for the individual. To motivate employees, leaders must seek to

identify and satisfy the needs of employees and utilize the employee’s talent in ways to

help achieve satisfaction (Jensen, 2018).

Motivation plays a significant role in human behavior and performance, which

affects organizational performance. Every employee has a different reason for deciding to

15

excel at work. When managers effectively influence employee motivation, the agency

also benefits. Understanding what motivates employees enables managers to customize

and develop plans of motivation to help drive employee performance and organizational

success (Jensen, 2018). Managers must invest the time to learn which factors impact

employees. Managers can also influence employees’ motivation by appealing to staff

members’ needs for achievement.

Achievements. Positive achievement includes achieving a specific success, such

as completing a difficult task on time, solving a job-related problem, or seeing positive

results of one’s work. In the workplace, employee achievement significantly influences

job satisfaction (Hur, 2017). Employers should consider implementing programs to

facilitate staff accomplishments. Well-trained staff members have the skill set to make

significant contributions to the organization while feeling more empowered. Employee

turnover decreases when workers feel a sense of achievement and accomplishment (Hur,

2017). Employees gain a sense of achievement from within; however, managers can use

recognition and awards to motivate staff.

Employee perceptions of work experience. Numerous aspects of a job influence

employees’ work experiences such as employee turnover. Employees’ job environment

significantly affects how employees perceive work. Leaders who create a conducive job

environment for their employees encourage them to come to work and inspire them

throughout the day. The work environment plays a central role in whether a worker

resolves to continue working in an organization or to leave (Dwesini, 2019). According

to Amzat, Don, Fauzee, Hussin, and Raman (2017), the responsibility and working

16

conditions for teachers in Malaysia were shown influence a positive work experience for

employees to increase job satisfaction and performance and reduce employee turnover.

Moreover, managers should consider the personal growth of high-performing team

members, because a lack of personal growth leads to a reduction in employee

performance (Amzat et al., 2017).

Leaders are obligated to provide opportunities to motivate staff and improve

employee job satisfaction. Staff members have motivational maps, which managers must

learn to navigate to understand what influences employees’ performance (Gaianu, 2016).

Factors influencing employee performance include the organizational atmosphere and

managerial behavior. These factors tend to have a positive impact on employee

performance, commitment, and motivation. Additionally, managers and supervisors

showing staff appreciation, providing feedback, and setting clear goals and expectations

positively affect employee job satisfaction and organizational commitment, and reduce

employee turnover (You & Conley, 2015). Managers and supervisors who are supportive

have a positive impact on employees. One-way leaders could help create better work

experiences for staff is by gaining insight into the factors leading to employee job

satisfaction. Thibodeaux, Labat, Lee, and Labat (2015) examined the relationship

between principals’ leadership behaviors and teachers’ intent to leave. The researchers

found a lack in principal leadership and administrative support, teacher workload, and

excessive paperwork negatively impact teachers’ intent to leave. Leadership support is

imperative to help employees cope with demanding job responsibilities and challenging

work experiences. Employee perceptions of leadership practices, including behavior have

17

an impact on staff. Business managers should provide employees with an environment

where work corresponds to aspirations and autonomy (Matsuo, 2015).

The seasonality of the hospitality industry could affect turnover. Work

experience, which could represent a source of workplace stress, may lead to negative

outcomes, including turnover (Arnoux-Nicolas, Sovet, Lhotellier, Fabio, & Bernaud,

2016). The effects of organizational enthusiasm and stimulating jobs on employee

turnover are quadratic (Mohsin, Lengler, & Auguzzoli, 2015; Mohsin, Lengler, &

Kumar, 2013). A fun workplace could lead to employees feeling more attached to the

workplace and make them want to stay.

Career advancement. A job should give an employee a sense of achievement.

Achievement will provide a proud feeling of having done something difficult but

worthwhile. The cost of leaving an organization is high, absence or lack of career

advancement opportunities can trigger an employee to quit (Umar, Shamsudin,

Subramaniam, & Johari, 2015). People who have successfully established their careers

and continue to receive more career opportunities from their employers tend to have

fewer reasons to leave the organization (Umar et al., 2013). A hospitality organization

should be committed to leadership, self-opportunity, and creative self-efficacy to improve

retention rates or lower turnover rates (Wang et al., 2014). According to Mapelu &

Jumah (2015), the acquisition of new knowledge, training, and career advancement

opportunities within the hospitality industry could lead to the types of commitment

associated with lower employee turnover.

18

Employees especially the millennial tend to pursue career growth. Millennials

tend to leave the organization more often especially when millennials find the

opportunity for career growth and advancement is presented (Biswakarma, 2016).

Employees who lack in development of their career in an organization tend to leave the

organization and search for better opportunities (Biswakarma, 2016). Lack of career

advancement opportunities inside the organization and perceived career opportunities

outside the organization can increase employee turnover. If career advancement

opportunity is mishandled, it leads to discontentment, frustration, skepticism, bickering

among the employees and culminates in a high rate of employee turnover (Belete, 2018).

Employees stay with the hospitality industry if the employee perceive there is enough

support from management. Employees stay with the industry if employees feel a sense of

contentment or a sense of pride about the organization, and if social relationships appear

to be fulfilling, rewarding, and stable (Venkataramani, Labianca, and Grosser, 2015).

Recognition. A job should provide an employee with praise and recognition of

their successes. Positive recognition happens when employees receive praise or rewards

for reaching specific goals at the job, or when employees produce high-quality work

(Alshmemri et al., 2017). Leaders demonstrate positive recognition when commending

employees or giving rewards, whereas behaviors such as condemning or criticizing

workers entail negative recognition. Employees want to feel appreciated by leaders, not

abused. Recognizing employees for a job well-done is a strategic way for employers to

decrease employee turnover. Showing employee’s appreciation through recognition is a

compelling yet cost-effective way for supervisors to encourage high performance and

19

organizational commitment (Shonubi, Abdullah, Hashim, & Ab Hamid, 2017). A

manager spending large amounts of money is not a prerequisite for recognizing

employees. However, the failure to acknowledge employee efforts in the workplace can

lead to employee turnover (Vijayakumar & Saxena, 2015). Recognition is no cost at all,

and it prevents employee turnover.

Growth and promotional opportunities. Promotion opportunities should exist for

employees. Growth and promotional opportunities are critical factors to help motivate

employees to increase job performance (Gkorezis & Petridou, 2015).

Promotional/advancement opportunities positively affect the private employee’s

psychological empowerment Gkorezis and Petridou (2015). Promotional/advancement

opportunity is a significant factor for many employees to remain committed with the

organization and be satisfied with the career choice. As a result, managers must increase

employees’ promotional/advancement opportunities to increase their commitment,

satisfaction, and job performance. Promotional/advancement is also the source of

employee emotional exhaustion (Jung & Yoon, 2015). Employees feel stressed to achieve

job promotion, which turns to employee feeling burnout which affects employee

commitment and employee turnover. Fair pay can enhance employee work engagement

and reduce withdrawal behaviors (Jung & Yoon, 2015).

Hygiene factors. Hygiene factors are conditions surrounding the doing of the job

or the workplace. The hygiene factors are extrinsic to the job, and lead to preventing job

dissatisfaction because hygiene factors react to the environment and workplace for the

need to avoid unpleasantness. Hygiene factors reduce the level of job dissatisfaction.

20

Hygiene factors operate to decrease the job dissatisfaction of the employees. According

to Herzberg et al., (1959), the hygiene factors are (a) job security, (b) compensation, (c)

working conditions, (d) company policies, (e) supervision, and (f) interpersonal relations.

The hygienic factors create satisfaction by fulfilling the individual’s needs for

meaning and personal growth. A leader should know how to engage his employees to get

them to perform at their best in the organization. By recognizing and rewarding

employees completing certain stages of their career (Badubi, 2017). When employees

need is truly satisfied, people are more inclined to be motivated. Meeting the hygiene

needs of staff is a tool to avoid dissatisfaction and weak job performance in the

workplace. Implementing supervisor training to enhance relationships between managers

and employees is important (Herzberg et al., 1959). Existing literature refers to it as

Herzberg’s theory, the two-factor theory, and the motivation-hygiene theory.

Job security. Employees should feel their job is secure and are not under the

constant threat of being laid-off. Job security comprises situations in which employees

feel a sense of stability as it relates to continuous employment (Herzberg et al., 1959).

Working for an organization or in an industry in which employment is uncertain threatens

the job security of staff. Not having a steady stream of income can be worrisome for

individuals. According to Raza, Akhtar, Husnain, and Akhtar (2015) employers in

various organizations in Pakistan realized job security positively influences employee job

satisfaction and reduces employee turnover. Without job security, living a stable life can

become a major challenge for employees.

21

Rigotti, Mohr, and Isaksson (2015) examined whether the relationship between

job insecurity and work-related attitudes and health impairment is valid across gender for

employees working on temporary contracts using data from seven countries in Europe

(N=1981). Results of t-test indicated no significant gender differences regarding the

primary variables. Male and female temporary employees perceived and experiences the

effects of job insecurity the same way. However, the extent to which individuals’

perceived potential for job loss affects their job satisfaction may depend on the

assessment of their chances of getting another job.

Employee compensation. Compensation plays a vital role in attracting

employees. Moreover, it enhances an employee’s organizational commitment and ensures

employee retention. Compensation is critical in contractual and implied agreements

between the employer and the employee (Dhanpat, Modau, Lugisani, Mabojane, & Phiri,

2018). Compensation is an important feature in Human Resource Management. The

compensation system offered by an organization to the employee plays a vital role in the

performance and turnover intention in the organization (Siddiqui, 2018). Compensation

is one of the crucial aspects of attracting the capable pool of the candidates and keeping

talent in the organization. Compensation may include non-cash assets such as a car,

housing paid by the company, company benefits, and stock options (Siddoqui, 2018).

One of the critical factors of employee turnover is a lower salary. When employees

receive a lower salary and insufficient financial rewards, employees tend to stay no

longer with the organization (Al Mamun & Hasan, 2017). Job dissatisfaction is a result of

poor pay scale procedure, leading to employees leaving their job.

22

The effects of job security, earnings, and organizational loyalty on turnover

correlate with one another (Mohsin, Lengler, & Aguzzoli, 2015). Mohsin et al. (2015)

used a new approach to understand staff turnover in the hospitality industry. Mohsin et al.

(2015) explored the quadratic and linear relationships between the intention to leave

one’s job and their antecedents. Mohsin et al. gathered data from a sample of 884

hospitality staff members in India. The effects of organization enthusiasm and stimulating

job experiences on employee turnover were quadratic. Management is truly responsible

for keeping staff from leaving the organization. Nonetheless, it is critical to understand

the factors leading to employee turnover because reasons may not be straightforward.

Organizations must ensure the staff remains satisfied, productive, and willing to stay

(Mohsin et al., 2015).

Allen, Shore, and Griffeth (2003) discussed the comparison in terms of

compensation of each employee to differentiate themselves from another employee for

the sake of attracting and retaining the talented employee and quality workforce. Hence,

an organization should adopt the strategy to attract the capable pool of employees, retain

the competent employee and maintain the equity among the employee in the

organization. According to Siddiqui (2018), an organization can only be successful

through its compensation policies, it should include competitiveness, market-related pay,

and benefits because it motivates an employee and plays a role of positive reinforcement

to retain employees in the organization and greater organizational commitment.

Pohler and Schmidt (2015) also examined the relationship between financial

incentives and employee turnover. Pohler and Schmidt evaluated the effects of

23

managerial pay-for-performance on the turnover of employees in non-management

positions, using the agency and equity theory. Pohler and Schmidt (2015) proposed an

alternative approach, stating the managerial pay-for-performance policies might

negatively affect the relationship between employees and management, leading to a high

employee turnover rate. Pohler and Schmidt stated the reveal of trends depended on HR

practices trained managers to treat employees well. Pay-for-performance could lead to

high employee turnover from the strain applied to the relationship between the manager

and the managed. Based on the findings Pohler and Schmidt supported previous literature

assertions stating pay could affect employee out6comes such as job satisfaction. Other

than pay, institutional factors such as opportunities for advancement and promotions, the

existence of work-group cohesion, effective and supportive leadership, and satisfactory

compensation could influence turnover (Qiu, Haobin Ye, Hung, & York, 2015).

Perceptions of selection and compensation practices could significantly affect

employee turnover among frontline employees (Santhanam, Kamalanabhan, & Dyaram,

2015). Santhanam et al. (2015) evaluated the effects of frontline employees’ perceptions

of human resource practices on their employee turnover. Human resource practices

ranged from recruitment to selection, training, promotion opportunities, performance

appraisal, feedback processes, and pay. Santhanam, et al. (2015) presented a turnover-

intention model to evaluate whether the variable of organizational identification mediated

the possible relationship between perceptions of HR practices and employee turnover

using hierarchical linear regression analysis. The findings from Santhanam,

Kamalanabhan, and Dyaram indicated among HR practices, perceptions about selection

24

and compensation practices could significantly affect employee turnover among frontline

employees. Moreover, organizational identification could moderate the effects of

perceived selection practices on employees’ turnover.

Many factors played a role in hospitality employee turnover, many of which the

organization cannot control, such as an employee’s unrealistic expectations (Xiong,

Wang, & Li, 2018). Employees may expect working in the hospitality industry would be

more glamorous. However, when faced with disappointment, the employee may seek

employment in a different industry. Personal factors such as a desire to learn new skills or

change in family situation affects hospitality employees’ turnover. However,

organizational leaders may be able to address aspects of employee compensation, which

Xiong et al., (2018) cited as another major factor contributing to turnover. Employees

reported not having any choice or control over the work schedule, and only 26% of

respondents all in management reported compensation was adequate for the work done. If

hospitality organizations address the factors of compensation and flexibility, the industry

may be able to mitigate other factors.

Compensation and rewards were an essential practice which mitigates frontline

employee’s turnover (Babakus, Yavas, & Kaatepe 2017). Organizations must encourage

the development and management of a performance system to avoid favoritism (Babakus,

et al., 2017). If frontline employees feel valued, the employees will develop an emotional

bond with the organization and remain (Babakus et al., 2017). Since frontline employees

serve as a critical link between an organization’s internal operations and external

25

customers, employees are crucial in implementing strategies of the organization (Babakus

et al., 2017).

Working conditions. The working conditions should be safe and safe for every

employee. Herzberg et al. (1959) defined working conditions as the physical

surroundings and environment, workload, location, air quality and equipment available

for a job. Based on the industry and organization the employee is in, the working

condition experience may be different. All leaders need to understand the impact working

conditions have employees and use the knowledge to create an effective environment for

each employee.

Jayaweera (2015) examined the relationship between environmental work factors

and job performance and motivation for hotel staff in England. The hotel workers

contended with extreme working conditions. The employees had to deal with heat,

humidity, noise, smell, and dust. Jayaweera (2015) found an undesirable physical work

environment harms job performance. Work motivation mediates the relationship between

working conditions and job performance (Jayaweera, 2015).

Company policy. Various company policies exist in organizations, which can

influence employees’ attitudes, job satisfaction, performance, and motivation. Company

policies have the worst impact as it relates to influencing negative attitudes amongst

workers. The perception of having a fair chance for promotion and advancement is

important to employees. Similarly, Muslim, Dean, and Cohen (2016) found company

policies to harm employee motivation and employee turnover for workers of an

26

electricity provider in Malaysia. Creating organizational strategies comprise of factors

positively impact employees is important for managers.

Supervision. Supervision should be fair and appropriate. Herzberg et al. (1959)

connected supervision to employees’ perspectives about their relationships with

supervisors. Managers’ behavior influences how team members feel about supervision.

Supervision is associated with the competence or incompetence, and fairness or

unfairness of the supervisor or supervision. The supervisor has the willingness to delegate

responsibility or to teach, fairness and job knowledge. Poor leadership or management

may increase employee turnover rates in the workplace. Alfayad and Arif (2017)

discussed employees in one of the largest organizations in a developing country like

Jordan, supportive supervision and having a voice has a positive influence on job

satisfaction and reduce employee turnover.

Interpersonal relationships. Interpersonal relationships are limited to the

personal and working relationships between the worker and her/his superiors,

subordinates and peers. Herzberg et al. (1959) categorized interpersonal relationships,

more specifically between managers, direct reports, and colleagues as a hygiene factor,

which does not cause satisfaction but instead results in no dissatisfaction and short-term

motivation for employees. Having a good support system at work helps employees

overcome stressful situations on the job. Focusing on creating effective interpersonal

relationships can decrease employed turnover (Razip & Maulabaksh, 2015). Employees

need to be able to vent to other employees and receive insight and feedback on how to

move forward (Alshmemri et al., 2017).

27

Past Studies Using Two-Factor Theory

The two-factor theory continued to gain popularity in the mid-1900s. Maidani

(1991) retested the two-factor theory using a questionnaire instead of the critical incident

technique Herzberg et al. (1959) used in the original study. Studying 350 private and

public sector employees, Maidani attempted to determine whether using a questionnaire

would yield the same results as those of Herzberg et al. (1959). Maidani discussed both

the motivator and hygiene factors were sources of satisfaction and not dissatisfaction.

One finding reversed Herzberg et al.’s (1959) study which stated the hygiene factors were

sources of dissatisfaction rather than satisfaction. However, Maidani’s study did support

the two-factor theory, motivators are sources of satisfaction. Despite differences in

Maidani’s findings, the basic tenets of the two-factor theory can help leaders to identify

motivational factors providing job satisfaction and hygiene factors preventing job

dissatisfaction. Leaders can then use the information to identify strategies for achieving

low rates of employee turnover in the hotel industry.

Since the introduction of Herzberg’s (1959) two-factor theory, scholars have

tested the model to investigate the relevance of each factor in different contexts such as

industry and culture. Sankar (2015) examined the impact of hygiene factors on employee

retention and job satisfaction in the paper industry and found there is a positive

relationship between hygiene factors, job satisfaction, and employee retention.

Alternatively, Fareed and Jan (2016) assessed the influence on motivational and hygiene

factors on bank employees in Khyber Pakhtunkhwa, Pakistan. The researcher found

hygiene factors to have a significant impact on employee turnover and job satisfaction.

28

On the other hand, Fareed and Jan found Herzberg’s motivators have no significant

impact on job satisfaction.

Various factors influence why employees rate the importance of motivational and

hygiene factors differently. For example, Issa Eid (2016) examined which motivation-

hygiene factors have the most significant influence on employee turnover in Romania.

According to Issa Eid (2016), the work itself was the most influential factor, whereas

salary has the least impact. Furthermore, Issa Eid performed a t-test to identify existing

differences between men and women regarding job satisfaction. The t-test revealed while

gender has no impact on overall job satisfaction, significant differences exist when using

salary as a motivator. Herzberg (1959) developed a model to prove motivation is a

significant factor in employee performance however, the impact may vary slightly or

significantly from one person to another.

As a hygiene factor, employee compensation could have a significant impact on

employee job satisfaction, employee turnover, and work performance. Pay has no

considerable influence on employee turnover and is more of a job dissatisfier than job

satisfier (Herzberg et al., 1959). Conversely, organizations have dedicated departments

working to determine pay structures to acquire and retain talent. Competitive

compensation is a major advantage for organization. Sarmad, Ajmal, Shamim, Saleh, and

Malik (2016) examined the impact of compensation on employee turnover rate. The

findings include compensation positively affects motivation and employee turnover.

Investigating the impact of hygiene-motivator factors in the workplace helped

researchers understand the importance of incorporating organizational programs to drive

29

employee motivation. According to Herzberg et al., (1959), the presence of motivational

factors can produce job satisfaction, however, their absence leads to no job satisfaction.

Consequently, poor hygiene factors can cause job dissatisfaction, while better hygiene

factors can reduce dissatisfaction but cannot cause job satisfaction (Herzberg et., 1959).

According to Herzberg (1966), when an employee satisfaction need is high,

dissatisfaction diminishes, preventing poor performance; nevertheless, only satisfaction

of motivation factors can lead to improved productivity.

An employee’s attitude can affect an employee’s work performance. Herzberg

stated favorable attitudes lead to better work performance compared to unfavorable

attitudes toward the company. Negative attitudes toward the company can also lead to

psychological withdrawal from the job (Herzberg et al., 1959). Job satisfaction is vital in

ensuring loyalty in your organization. Herzberg’s theory presented two different

continuums from satisfaction to no-satisfaction and from no-dissatisfaction to

dissatisfaction to segregate the elements responsible for satisfaction and dissatisfaction of

employees at work (Habib, Awan, & Sahibzada, 2017).

Herzberg stated satisfying the hygiene factor was inadequate to improve

productivity. The theory supports the concept of improving employee satisfaction and

motivation level in an organization (Jensen, 2018). Business leaders have the right to

determine what motivates each employee because no two employees are the same.

Employees are motivated differently. Business leaders should know their employees and

engage the employee’s in meaningful ways to motivate and satisfy the employees work

performance.

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Alternative Theories

I used the Herzberg’s motivation-hygiene theory to determine and understand

employee turnover decisions in organizations. Organizations were increasingly applying

Herzberg’s theory to create opportunities for personal growth, enrichment, and

recognition among their employees. Herzberg’s theory created potential solutions to

employee turnover. Mitigation of factors contributing to employee turnover and

prevention of factors leading to turnover are separate concepts. Dissatisfaction and

satisfaction factors are separate concepts as well. The two-factor theory explained how to

recruit and retain professional personnel at a multinational marketing company

(Christeen, 2015). Fortunately, the results corresponded with the two-factory theory,

which were the hygiene factors do influence turnover (Herzberg et al., 1959). Based on

the findings from Herzberg’s (1966) research, work itself could affect employees’ job

satisfaction. According to Lee and Chen (2013), turnover among employees utilizing the

two-factor theory as the frame of reference and reported utilizing the hygiene needs of the

employees could lower turnover rates.

The two-factor theory has attracted many criticisms. One of the main criticisms

was Herzberg et al.’s (1959) use of the critical incident technique. Some researchers

questioned the use of the critical incident method because of a reliance on respondents’

memory and personal testimony. Another main criticism of the two-factor theory was

ambiguity (Tuch and Hornbaek, 2015). According to Tuch and Hornbaek (2015), several

versions of the theory exist in the literature and differ in the explanations of the relation

between the factors causing satisfaction and dissatisfaction. Regardless of all the

31

criticisms, Matei and Abrudan (2016) agreed with the premises of the two-factor theory.

The theory is valid only in the cultural environment. The employee turnover rate level is

very high in the hospitality industry. Researchers have shown several theories providing a

foundational understanding as to why employee turnover happens especially in the

hospitality industry.

Model of voluntary turnover. The Greenhaus, Collins, Singh, and Parasuraman

(1997) modified model of voluntary turnover provides researchers an opportunity to

examine turnover in professional accounting firms. The modified model of voluntary

turnover examines four sets of potential influences on the turnover process: (a) work

experiences (work overload, career development opportunities, advancement aspirations,

and advancement expectations), (b) family responsibilities, (c) work-home conflict, and

(d) stress (Greenhaus et al., 1997). According to Greenhaus et al. (1997), a workload

which is an individual’s perception of too many activities and too little time has been a

predictor of both intentions to leave and actual departure. Moreover, the lack of career

development opportunities might cause an employee to decide to leave. On the other

hand, advancement aspirations are not strictly as work experience. Greenhaus et al.

(1997) found a strong desire for promotions sustained interest to remain in the

organization, potentially reflecting increased levels of commitment. The advancement

expectations reduce the likelihood of leaving an organization (Greenhaus et al., 1997).

Greenhaus et al. (1997) found the primary reason both men and women leave the

accounting profession is related to the work experiences and work-family conflict. The

decision to leave is because of stress and turnover intentions. Greenhaus et al. 1997 stated

32

the impact of leaving the public accounting affected and caused more impact on family

rather than by the impact of family responsibilities on work. The various variables

discussed in the model is vital to the study.

Price and Mueller Turnover Models

Price (1977) established a model identifying five determinants of turnover pay,

integration, instrumental communication, formal communication, and centralization.

Price introduced a moderator of job satisfaction and turnover, dubbed opportunity,

defined as the availability of alternative employment in the environment. Some

shortcomings emerged following the testing of the Price model. As a result, in 1981 Price

and Mueller revised and expanded the earlier model. According to the Price and Mueller

(1981) model, repetitive work reduces satisfaction. However, workers are more likely to

be satisfied with work when the workers are participating in job-related decisions,

earning good and fair compensation, and enjoying opportunities for promotion (Price &

Mueller, 1981).

According to Price and Mueller (1986), workgroups and size of the organizations

were additions, as precursors of organizational commitment and employees’ intention to

leave. In 1986, Price and Mueller also introduced the commitment to the organization as

a mediator between job satisfaction and intention to leave. Price and Mueller presented an

updated 1986 model including many of the earlier retention factors. Price and Mueller

contributed to voluntary employee turnover by developing a comprehensive set of

determinants of turnover and introducing salient variables used in the withdrawal process.

33

Price and Mueller (1981) grouped the factors into two groups known as the motivators

and dissatisfies.

Price and Mueller’s model emphasized the importance of pay, training, and

promotional opportunities for retention. Price and Mueller’s (1986) model provided the

causal determinants of turnover by treating turnover as an outcome emerging from a

decision process an employee undertakes. Price and Mueller placed the causal

determinants in three groups: environmental, individual, and structural factors. Compared

to other frameworks, Price and Mueller’s (1981) model provided a comprehensive list of

turnover determinants. Price and Mueller received criticism for not providing an adequate

explanation of the turnover process; instead, the model lists all the possible reasons

employees leave an organization. The researchers also designed the model after studying

people with middle-class jobs, such as nurses and teachers. Despite the limitations, Price

and Mueller’s (1986) model incorporated data from several disciplines. Price and

Mueller’s turnover model incorporated factors to use across industries, including the

hospitality industry.

History of the Hospitality Industry

The hospitality industry is one of the fastest growing and most important

segments in the earning of revenue and as well as employment (Singh & Amandeep,

2017). The hospitality industry continues to prosper in the global economy. The

hospitality industry in the U.S. Virgin Islands is truly thriving. It is the primary economic

driver, accounting for more than half of GDP and employment (USVIEDA, 2018).

According to Teng (2013), the hospitality industry as an organization with a purpose to

34

satisfy a full range of needs such as beverages, food, and accommodations. The

hospitality industry caters to the needs of a diverse group of people and frequent guest-

host interaction (Teng, 2013). People have been traveling and using the hospitality and

tourism industry for many years. The hospitality industry has existed for 4,000 years

(Knani, 2014). The hospitality industry remains a billion-dollar industry depending on the

disposable income and availability of its customers. The travel and tourism economy

contribute trillions of dollars to the international GDP; at a global level, experts anticipate

profits and revenues from the tourism and hospitality industry will come to grow

(Vasquez, 2015).

The hospitality industry includes various service fields such as lodging,

restaurants, event planning, theme parks, transportation, cruise lines, and others. Various

employees oversee the establishments with several responsibilities to include directors of

operations, management and leadership roles, human resources, facility maintenance, and

marketing positions (Vasquez, 2015). The hospitality industry provides numerous job

opportunities around the world and contributes to several countries’ gross domestic

product (GDP). The hospitality industry includes production and service dimensions, the

creation and delivery of services from the hotel to the customer are dependent on the

employees. The success of the hospitality industry depends on the recruitment,

management, and retention of employees. The factors make the high employee turnover

rates of the hotel industry challenging (Faldetta, Fasone, & Provenzano, 2013).

Turnover in the hospitality industry is a severe problem for leaders. According to

the Bureau of Labor Statistics (BLS) (2015), voluntary turnover in leisure and hospitality

35

was the second highest across industries, after the trade, transportation, and utility sector.

DiPietro and Condly (2007) stated for the hospitality companies to have a

disproportionate employee turnover rate in comparison to other service organizations and

the turnover culture is the most significant explanation for the high turnover. According

to Guchait, Meurs and Cho (2015), hospitality organizations seem to accept turnover as a

part of their work culture rather than attempting to resolve the issue. Many hospitality

companies expect high turnover and dissatisfaction to occur because of the nature of the

business, the demographics of the hospitality employees, and the lower pay associated

with the hospitality industry. Unfortunately, significant costs are associated with

employee turnover (Guchait et al., 2015). Employee turnover has negative effects on

organizations because it increases the cost for the employer, especially in jobs offering

higher extensive education and on-the-job training. The cost of turnover could cost a

company approximately $3,000 to $10,000 for an hourly employee and approximately

$50,000 for a managerial employee (Guchait et al., 2015).

Being able to replace a well-trained manager cost the organization a significant

amount of money. Being able to replace experienced employees from managers to hourly

employees, could be costly to the hospitality industry. Preparing new workers takes a

significant amount of labor, which causes a reduction in revenue. Organizational leaders

spend 30% to 50% of the yearly salary for entry-level employees, up to 150% of the

salaries annually for middle-level employees, and as high as 400% of the annual salary to

replace those in upper management positions (Bryant & Allen, 2015). Managers

encourage employees to stay rather than leave. If the hospitality industry can retain

36

hardworking long-term employees, its productivity level will likely increase. Employees

are vital to the hospitality and tourism industry. The reduction of the employee turnover

rate could universally help the hospitality industry and the economy in the globalized

world. Globalization has created business mobilization opportunities for individuals

which are beneficial for the hospitality industry (Grobelna, 2015). The hospitality

industry employs a significant number of workers worldwide (Grobelna, 2015).

Retaining employees is the most imperative target for an organization because

hiring a qualified candidate is essential for an organization. However, their retention was

more important than hiring, because a significant amount of money spent for orientation

and training of the potential employees. According to Fernandez and Worasuwan (2017),

employee retention in hospitality was persistent which management can reduce by

applying effective managerial and leadership practices as a means of generating

employee satisfaction. Unlike the other sectors where positions are mostly full-time,

specialized and operate during traditional business hours, the hospitality workforce was a

labor-intensive industry. Being unskilled to highly specialized employees, customer

service orientated, and twenty-four hour seven days per week operation are some of the

causes of high turnover in the hospitality industry (Fernandez & Worasuwan, 2017).

Employee turnover was high in the hospitality industry. Employee turnover was

averaging up to 200 or 300 percent per annum, although substantial variations exist

between different establishments (Narkhede, 2015). When employees leave the

organization, value knowledge was lost. Employers who find ways to retain their

employees gained a sustainable competitive advantage (Fernandez & Worasuwan, 2017).

37

Understanding employee turnover

In organizations where there was a high level of inefficiency, there is also a high

level of staff turnover. Employees tend to quit unstable organizations and look for stable

organizations because with stable organizations the employees would be able to predict

career advancement (Ongori, 2007). Employee turnover was costly from the view of the

organization. Employee turnover consists of employees voluntarily or involuntarily

leaving their current job. According to Zhang (2016), voluntary turnover was a decision

made by employees leaving the company. Whereas involuntary turnover refers to the

decision of turnover made by the enterprise. Involuntary turnover was predictable and

controlled; however, voluntary tends to be unpredictable in advance.

The topic of employee turnover was challenging for all organizations and

businesses. Leaders in organizations are beginning to scrutinize and manage employee

turnover. According to McClean, Burris, and Dert (2013), employee turnover became

vital to leaders because research started to show how employee turnover began to affect

organizations in negative ways. The two types of turnover exist are functional and

dysfunctional (Renaud, Morin, Saulquin, & Abraham, 2015). The concept of functional

turnover includes when an employee who provides minimum value to an organization

leaves their position (Renaud et al., 2015). Moreover, when a valued employee vacates

their position, dysfunctional turnover occurs.

Turnover intention. Turnover intention referred to the probability an employee

would choose to leave an organization identified by specific periods (Chao, Jou, Liao,

Kuo, 2015). The turnover intention has varying factors and conditions preventing

38

employees from translating intention into turnover behavior (Misra, 2015). According to

Awang, Amir, & Osma, (2015), the turnover intention was the behavioral attitude of a

person desiring to withdraw from an organization and is an effective predictor of actual

turnover. Furthermore, employer awareness of turnover intention was critical for

employee retention, because voluntary turnover mitigation may be effective during the

withdrawal process and before the formal resignation submission of an employee (Bryant

& Allen, 2015). Unfortunately, high employee turnover remains a problem in the

hospitality industry with some researchers calling for additional information on the

factors influencing turnover (Awang et al., 2015). Industry leaders should act on the

research results by developing turnover-intention strategies (Tse, Huang, & Lam, 2013).

Turnover intention is like the employees’ turnover because the actual employees’

turnover behavior was depending on their intention of leaving the organization (Yang and

Wittenberg, 2016). Some researchers question whether the turnover intention is an

indicator of actual turnover. A study of U.S. federal agencies cautioned managers not to

assume turnover intention and turnover are positive correlational constructs (Cohen,

Blake, & Goodman, 2015). Through the study, the researchers concluded only

telecommuters, workload satisfaction, and pay satisfaction, of the 12 significant

variables, have a direct correlation between turnover intention and turnover (Cohen,

Blake, & Goodman, 2015). It was critical for leadership in organizations to understand

why employees leave (Salman, Abdullah, & Saleem, 2016).

Employee turnover. Employee turnover has been and continues to be a

particularly prolific area of research, with many publications on the topic. Employee

39

turnover was a growing concern to many organizations. Employee turnover attracts the

attention of many scholars. Evidence suggested that turnover in the hotel industry was a

result of dissatisfaction such as relationships with supervisors, job content, working

conditions, work timing, salary, and other benefits (Narkhede, 2015). Employee turnover

was the rotation of workers around the labor market; between firms, jobs, and

occupations; and between the states of employment and unemployment (Ongori, 2007).

Turnover could be a result of burnout from working long hours contributing to stress

(Scanlan & Still, 2019). There are three different categories of employee turnover which

are unavoidable turnover, desirable turnover, and undesirable turnover. According to

Ngo-Henha (2017), unavoidable turnover may occur due to retirement, sickness, or

family matters. Desirable turnover applies to incompetent employees, as opposed to

undesirable turnover which occurs when talented, skilled, and competent employees

leave the organization against the will of their employers.

Conducting research on employee turnover in the hospitality industry and the

factors contributing to the issue was critical. The implications for positive and social

change could include creating and providing opportunities for business leaders to obtain

an understanding of employee turnover and increase organizational awareness of the

factors influencing high employee turnover rates. Also, the hospitality industry leaders

could implement strategies, programs, and initiatives to benefit the organization as well

as society. By obtaining the necessary knowledge about employee turnover and providing

today’s organizational leaders with a clear road map for improving employee levels of

40

motivation, can result in diminishing employee turnover in organizations and possible

ways to improve customer service (Rahman, Akhter, & Khan, 2017).

Employees who are satisfied with their place of employment because of high

levels of support from their leaders might attain a higher sense of fulfillment (Faldetta et

al., 2013). According to Faldetta et al., (2013), employees experience satisfaction from

their place of employment retained higher levels of life satisfaction. Employees should

receive the support needed to stay with the organization. Without the necessary support,

employers could create a high employee turnover affecting the success of the

organization (Dalluay, Jalagat, Al Zadjali, & Al- Abdullah, 2017).

Employee turnover is detrimental to any organization. Employee turnover may

also disrupt the organization’s performance. There are two disadvantages which are the

direct costs and indirect costs. According to Ameliya and Febriansyah (2017), the direct

costs associated with the loss of time and money to recruit, hire, and train employees.

Direct expenditure is financial consequences including administrative costs as a result of

increased recruitment and training expenditure of new employees. On the other hand,

indirect cost is the decline in production and services. Indirect costs of turnover are low

morale, productivity losses due to unfamiliarity of the workplace, poor service, lost skill

sets, disgruntled customers, and lost networks. The total cost per incident of employee

turnover cost up to $2500 in direct costs and $1600 in indirect costs (Narkhede, 2015).

Recruiting, selecting, and training new employers often spend a voluminous amount of

money, because the higher the turnover rate, the higher the expenditure will occur

41

(Ameliya & Febriansyah, 2017). High turnover incurs significant replacement cost and

more than likely it could affect profitability.

Effects of employee turnover. Employee turnover was expensive from the view

of the organization. According to Narayanan (2016), employee turnover may influence

organizational financial performance through five major cost categories: pre-departure,

recruitment, selection, orientation, and lost productivity. High employee turnover could

result in negative outcomes for any organization if not managed properly. There is a lot

of attention given to the issue of turnover is because turnover had some significant effects

on organizations (Ongori, 2007). Organizations may lose millions of dollars when an

employee and one in a leadership (Amankwaa & Anku-Tsede, 2015). Each time an

employee leaves the firm, the productivity drops due to the learning curve involved in

understanding the job and the organization. Employee turnover could lead to

unemployment and retard economic activity (Mehrnoosh & Jouzaryan, 2016).

The increase in the turnover rate poses a retention threat for leaders because of the high

replacement and training costs, loss of productivity and efficiency, and lower profitability

(Singhapakdi, Lee, Sirgy, & Senasu, 2015; Tse, Huang, & Lam, 2013). Leaders need to

understand skilled employees are indispensable to organizations and the cost of replacing

talented employees remained problematic. The replacement costs include recruitment and

training new employees, hiring inducements, orientations, employment agency fees, and

the costs of maintaining unskilled employees who filled the gaps left by lost employees

(Zhang, 2016). Some examples of separation costs are teamwork disruptions, overtime

42

payments to current employees, losses of valuable skill sets, and payments of accrued

vacation time.

A sustainable and productive economy aligns with the relationship between

employee retention and economic stabilization, which a nation needs to attain a stable

workforce (Zhang, 2016). Business organizations could lose some of their greatest assets

when well-trained personnel leave their companies (Narayanan, 2016). According to

Hurley (2015), organizations with high levels of turnover rates for full-time employees

also experience poor customer-satisfaction ratings. Hurley (2015) examined the

importance for organizations to prioritize employees’ well-being in the workplace to

decrease employee turnover rates. The researcher also examined the causal relationship

between employee turnover and customer-satisfaction rates by studying 275 fast-food and

convenience stores. Hurley’s findings stated the full-time and part-time employees

differed when it came to the correlation between customer satisfaction and employee

turnover. Organizations with high levels of turnover rates for full-time employees also

received poor ratings for customer satisfaction. According to Hurley (2015), employee

turnover could directly affect customer satisfaction.

Strategies to reduce employee turnover. Studies indicated employee turnover

was and continued to be an endemic concern in the hospitality sector throughout the

world. The hospitality industry is a customer-driven and competitive business. Therefore,

it was so important for workers in the hospitality industry to remain happy and motivated

when interacting with guests in the industry (Dwesini, 2019). Bryant and Allen (2015)

created several effective strategies to manage employee turnover. Some of the strategies

43

include compensation and benefits-based solutions, as well as solutions providing aid

beyond the material needs of employees.

Deery and Jago (2015) explored several strategies the hospitality industry could

implement to resolve the turnover crisis. Some of the strategies include talent

management, work-life balance, and other retention strategies. Deery and Jago (2015)

used a framework to demonstrate the possible correlations with the antecedents of

organizational and industry attributes. The attributes are personal employee dimensions,

work-life conflicts, organizational strategies, job satisfaction outcomes, organizational

commitments, and employee retention. Implementing work-life balance was one of the

most effective methods to improve retention rates (Deery & Jago, 2015). Additionally,

any change in work-life balance could directly influence factors such as job satisfaction,

organizational commitment, stress, and alcohol use (Deery & Jago, 2015).

Gellatly, Cowden, and Cummings (2015) examined the relationship between staff

nurses’ levels of commitment and turnover intentions, observing how organizational

commitment could affect perceived work-unit relations. Gellatly et al. examined

employee turnover using affective, normative, and continuance commitment data from 33

registered nurses. The findings of the research conducted by Gellatly et al. stated the staff

nurses who retained high levels of affective commitment and normative commitment

expressed positive quality work-unit relation. In comparison to other nurses with lower

affective and normative commitment, are less likely to leave their organizations (Gellatly

et al., 2015). Unfortunately, high levels of continuance commitment could lead to

perceptions of poor work-unit relations which could lead to turnover. According to

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Gellatly et al. (2015), warned against using strategies mainly to increase employees’ level

of continuance commitment, such as higher salaries and better benefits. Karatepe & Kilic

(2015) increased managerial support could represent one of the most basic strategies to

lower rates, it could also represent the most important strategy to lessen risks of

employee turnover due to work-family conflict.

By implementing employee retention strategies correctly, it could help stabilize

the economy and generate family unification by creating healthy, motivated, and

productive employees. Retaining employees could become easier if top managers display

a commitment to employees’ development (Tse et al., 2013). Effective leadership,

training, and high-level organizational support help improve employee retention. The

employees who decide to leave the organizations usually lack enough training (Tse et al.,

2013).

Factors Contributing to High Employee Turnover

Employee turnover was an endemic issue in the hospitality industry. There are

many concerns in the hospitality industry however, one of the biggest concerns is finding

ways to mitigate turnover. Al Mamun and Hasan (2017) analyzed several studies

performed and conducted on examining the causes and leading factors of turnover. Most

factors affecting turnover in the hospitality industry are work experience, supervisory

practices, and employee compensation. According to Nayak, Pai, Prabhu, and Granil,

2015), the high turnover rates of the hospitality industry are among the greatest

challenges human resources managers face. Management should consider initiating

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strategies to retain employees in the hospitality industry. High employee turnover will put

the organization at risk of reaching the organizational goal.

According to Acharya and Siddiq (2017), human resources was an important asset

to every organization. There are several routes through which a business may improve the

effectiveness of their employees, such as through periodic training programs, constant

motivation, employee empowerment, promotion, and adequate incentives. Some

businesses may spend a significantly large amount of resources. As a result, businesses

still face the constant threat of high employee turnover rates and thus low employee

retention rates. The resulting replacement with the new employees leads to additional

costs.

The additional cost was a great loss for the leaving company and gain to the

competitors. Equally, employee retention was a vital issue and challenge to all businesses

because of the costs associated with recruiting, selecting, and training new employees

(Acharya & Siddiq, 2017). The researcher’s purpose was to identify the various factors

contributing towards the high employee turnover rates and to identify the effective

methods of retention to significantly reduce their employee turnover rates. The findings

stated the researchers derived with three factors to determine the cause for the high

employee turnover rates in the hospitality sector: low levels of employee inspiration,

inadequate rewards, and work-life balance. The study recommends the considerations

such as awards for hardworking employees, recognizing the efforts, more employee

participation, a delegation of authority, the appropriate level of pay, additional benefits

46

packages for hard work, competitive unsocial hour’s payments to come out from high

employee turnover rates (Acharya & Siddiq, 2017).

Supervisory practices. An effective supervisor can influence and motivate

employees. Moreover, the leader enhances organizational success by inspiring team

members to perform at a higher level. Employees do not quit the companies, employees

quit their boss (Mathieu, Fabi, Lacoursiere, & Raymond, 2016). The lack of

management’s strength in supervisory practices was one reason employees chose to leave

an organization. According to Rahman and Nas (2015), employees’ perception of

managers’ actions and behaviors, and dissatisfaction with their job influenced intention to

leave. Inadequate supervisory practices have increased voluntary turnover, loss of

enthusiasm, and dissatisfaction for employees (Rahman & Nas, 2015).

Exceptional leaders inspire their employees to create partnerships and set high

expectations for their work without expecting additional compensation. Effective

supervisors have the adept ability to communicate a vision and influence others to

achieve a similar mission (Northouse, 2016; Solomon, Costea, & Nita, 2016).

Supervisors need to find a way to create a balance between achieving organizational

goals and reduce employee turnover. Even though supervisors are responsible for

ensuring employees achieve organizational goals, employee motivation is important as

well. Workers are more productive when completing tasks and owning responsibilities

appealing to the employee’s personal and professional stimuli (Demirtas & Akdogan,

2015).

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Being able to understand what motivates employees enables managers to create

and develop plans to help increase employee performance as well as the organization’s

success while reducing employee turnover. Supervisors’ practices include behavior,

management, and leadership style the supervisors demonstrate. The various practices

affect employees differently. According to Xu, Loi, and Ngo (2016), staff members

regard leaders as purveyors of organizational values; therefore, managers’ behavior often

sets the tone for associates’ conduct. Supervisors must lead by example and set the

example for expectations of employees’ behavior. Effective communication between

managers and staff was vital to organizational relationships. By building relationships

with staff, leaders are better able to establish a positive organizational culture, increase

employees’ commitment and collaboration, and reduce employee turnover (Tu & Lu,

2016). Leaders should seize any opportunity to address any questions or issues and

provide a better understanding, as a result, team members feel more comfortable

approaching supervisors with concerns, which increases organizational commitment (Ko,

Ma, Bartnik, Haney, & Kang, 2018).

Employees in one of the largest organizations in a developing country like Jordan,

supportive supervision and having a voice has a positive influence on job satisfaction,

which reduces employee turnover (Alfayad & Arif, 2017) Employees truly want to feel as

though their opinions matter. Managers should be aware of how leaderships’ behavior,

employee culture, and country structure impact employee turnover and utilize the

information to encourage positive experiences for workers. Teoh, Coyne, Devonish,

Leather, and Zarola (2016) examined the interactions between supportive and

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unsupportive manager behaviors as predictors of employee engagement, job satisfaction,

and employee turnover. Using factor analysis, the authors found employee perceptions of

supportive manager behaviors are a significant predictor of job satisfaction and employee

turnover, but not engagement (Teoh et al., 2016). Supervisors should demonstrate

supportive behaviors to influence employees positively. Another study conducted by

Plessis, Barkhuizen, Stanz, and Schutte (2015) investigated the relationship between Gen

Y employee perceptions of organizational support, supervisor support, talent

management, and employee turnover. The researchers surveyed Gen Y employees

working in recruitment and stated the millennial employee perceptions of talent

management and supervisor support are strong correlates of employee turnover (Plessis et

al., 2015). Regardless of the generation of employees, developing a deeper knowledge of

how supportive and unsupportive managerial behaviors impact employees is crucial for

managers to avoid any potentially harmful actions.

Enslin and Schulz (2015) conducted a mixed-methods study to examine the

influence of mentoring on employees’ perception of support. Enslin and Schulz (2015)

utilized the Comprehensive Organizational Career Planning Model (COCPM), which

researchers previously used to determine the influence of mentoring on employees, such

as employee engagement, job satisfaction, productivity, promotion potential, employee

turnover expenditures, succession planning, and employee retention (Enslin & Schulz,

2015). Based on Enslin and Schulz’s findings mentoring positively affects employee

perceptions of support and has a significant impact on job satisfaction and performance.

Supervisors must demonstrate a commitment to their employees by way of supervisor

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practices, which impacts employee perceptions of supervisor practices. If work meets

management’s satisfaction, managers should allow employees to create their level of job

demands (Babakus, Yavas, & Karatepe, 2017). Workers are more likely to stay in

positions where the workers have some level of autonomy and freedom to create job

demands (George, 2015).

Transition

Section 1 included information on the foundation of the study. I introduced a

research question, purpose, nature of the study, assumptions, limitations, delimitations,

and the theoretical framework. A review of the professional and academic literature

included an analysis of the theoretical framework and the relationship between the

dependent and predictor variables for the study.

Section 2 includes the purpose of the study, the role of the researcher, the

participants, selection of the research method and design, supporting analysis for the

population and sampling techniques, ethical research. This section also includes

descriptions of data storage, analytic techniques, data organization, determining the

reliability and validity of the instruments, and procedure for the study. Section 3 includes

the presentation of the findings, applications to professional practice, implications for

social change, and recommendations for further research and action.

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Section 2: The Project

In Section 2, I cover the following topics: foundations of the study, role of the

researcher, a description of the participants, selection of the research method and design,

supporting analysis for the population and sampling techniques, and ethical research

procedures. Additionally, Section 2 includes data collection instruments, analytical

techniques, and study validity.

Purpose Statement

The purpose of the quantitative correlational study was to examine the

relationship between employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover. The independent variables were

employee perceptions of work experience, supervisory practices, and employee

compensation. The dependent variable was employee turnover. The target population for

the study consisted of employees in the hospitality industry on the island of St. Croix,

U.S.Virgin Islands. The implications for social change include providing additional

strategies to hotel managers searching for ways to reduce employee turnover.

Role of the Researcher

The primary role of the researcher was to recruit participants, act as an impartial

data collector, and report the result without judging the findings (Cleary, Horsfall, &

Hayter, 2015). My role in the study was to collect and analyze data, and I present the

findings while avoiding bias, respecting ethical standards, and protecting the rights of

participants. Since my study was quantitative, there was less interaction with participants

than in a qualitative study. My limited interaction with participants involved indirectly

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inviting participants to take a survey as described under the participants and data

collection sections. The participants did not have any direct affiliation with my

profession. The research topic related to my personal experience because employee

turnover is one of the problems I face as a manager.

My role as the researcher was to ensure the study complied with the ethical

guidelines of the Belmont Report and the Walden University Institutional Review Board

(IRB). When following quantitative methods, researchers must present an accurate

representation of data to support the validity of the study (Park & Park, 2016).

Researchers use the Belmont Report as a guide for employing ethical practices when

conducting studies using human participants. The three primary principles of the Belmont

Report are respect for persons, beneficence, and justice. Respect for the persons entails

appropriately informing participants that their participation is optional and protecting

respondents with limited decision-making abilities (National Commission for the

Protection of Human Subjects of Biomedical and Behavioral Research, 1979). Therefore,

researchers must be conscious of their behavior when interacting with participants.

Beneficence involves maximizing the benefits of the study while minimizing harm to

participants. The informed consent form delineated the risks and benefits of the study.

Demonstrating justice in ethical research involves ensuring equality between study

participants and benefactors of the study regardless of demographics (Cross, Pickering, &

Hickey, 2015). According to the U. S. Department of Health and Human Services (2015),

justice also involves certain classes of society bearing the burden of research while others

52

receive the benefit. The burden borne by participants of the study was minimal, and the

results may benefit the hospitality industry in the U.S. Virgin Islands.

Participants

The selection of the most knowledgeable participants regarding the problem

statement is critical to a quantitative study, because the validity of the study results relies

on participants’ honest and accurate participation. I recruited a sample of participants

who represent the population of hospitality employees in the island of St. Croix, U.S.

Virgin Islands. The participants worked in the hospitality industry. Cleary et al. (2015)

noted the participant recruitment should yield a well-informed sample of individuals. The

participants were over 18 years of age and employed in the hospitality industry on the

island of St. Croix, U.S. Virgin Islands, at the time of the study. To access participants, I

used Survey Monkey Audience to gain access to employees working in the hospitality

industry. According to Heen, Lieberman, and Miethe (2015), the use of Survey Monkey

as a web-based survey tool has been a relatively new and evolving means for collecting

data used in wide-ranging research efforts. Survey Monkey Audience is a web-based tool

used in quantitative research. To establish a professional working relationship with the

participants in the study, I provided my contact information on the survey site for the

participants to use for any questions or concerns about the survey. I closed the survey

after I obtained the desired number of usable responses, as described in this section.

Research Method and Design

Qualitative, quantitative, and mixed-methods all require elements of research to

assist investigators in conducting a systematic study (Johnson, 2015). Examining the

53

approach of research topics through the lens of a research method allows scholars to gain

a deeper understanding of a specific issue (Venkatesh, Brown, & Sullivan, 2016). I used a

quantitative research method and a correlational design to conduct the study. The

quantitative approach was more appropriate to predict outcomes in research.

Research Method

Researchers choose from three basic methodologies when conducting scholarly

research: qualitative, quantitative, and mixed-methods (Saunders et al., 2015). I chose a

quantitative method for the study. In a quantitative research study, the researcher collects

and analyze numerical data to help draw conclusions about the relationship between

variables and predictors (Albers, 2017). Quantitative researchers use frequency,

intensity, or numbers to derive broad concepts in specific conclusions and to explain

variances among groups (Cokley & Awad, 2015). The quantitative method is appropriate

when researchers intend to examine the relationship between variables and predictors’

outcomes (Saunders et al., 2015). The quantitative research method was the most

appropriate method for the study because the focus of a quantitative study was to use

measurable data to examine the relationship among variables (Antwi & Hamza, 2015).

The quantitative method was appropriate for the study because the purpose of the study

was to examine the relationship of employee perceptions of work experience, supervisory

practices, employee compensation, and employee turnover in the hospitality industry.

The qualitative method is appropriate to explore human behavior

(Mohamadzadeh, Mortazavi, Lagzian, & Rahimnia, 2015). Qualitative case studies

deepen the examination for a specific phenomenon. Such approaches generate

54

insufficient data required for accepting or rejecting a stated quantitative research

hypothesis (Masson, Delarue, Bouillot, Sieffermann, & Blumenthal, 2016). Researchers

use qualitative methods to create a safe and trusting environment, to encourage

participants to open and expand on responses, which can lead to new topics and ideas for

the investigator (Krosteli, Williams, & Cumming, 2016). The process of conducting the

study included collecting numerical data and examining the relationships among

variables. Therefore, a qualitative method was not appropriate for the study because the

focus of a qualitative study is to understand participants’ beliefs, experiences, and

perspectives (Zachariadis, Scott, & Barrett, 2013).

A mixed-method was appropriate when using both qualitative and quantitative

approaches will enable researchers to discover additional information about the

constructs of a study (Machdo, Cant, & Seaborne, 2014). Researchers tend to use the

mixed-method to gather quantitative data through numerical data, followed by qualitative

methods to gather insight and feedback through interviews and observations in which

participants can expound upon and explain the data (Enslin & Schulz, 2015). Mixed-

method research collects and analyzes both quantitative and qualitative data (Snelson,

2016). Mixed-method research is too time-consuming and costly. Therefore, a mixed-

method study is inappropriate for the study.

Research Design

I employed a correlational design to examine the relationship of employee

perceptions of work experience, supervisory practices, and employee compensation with

employee turnover. In a correlational study, the researcher examines two or more

55

variables to determine if there is a relationship, also known as a covariation, between the

variables (Humphreys & Jacobs, 2015). Using a correlational design enables researchers

to predict an outcome (Johnson, 2015), which leads to statistical data analysis (Park &

Park, 2016). Therefore, the correlational design will be appropriate for the study because

I sought to examine the relationships among an employee’s (a) employee perceptions of

work experience, (b) supervisory practices, and (c) employee compensation.

A quasiexperimental design is an experimental design without random assignment

of participants to the different groups in the study (Cokley & Awad, 2015).

A quasi-experimental design was not appropriate because there is no treatment or control

group (Turner, Balmer, & Coverdale, 2015). Since the intent of the study is to determine

a relationship between the variables a correlation design is the most appropriate choice.

Population and Sampling

The target population for the study consisted of employees in the hospitality

industry on the island of St. Croix, U.S. Virgin Islands. Sampling is a technique used for

generalizing the results of a study to a wider population when a census is not feasible

(Uprichard, 2013). Uprichard (2013) stated a key distinction between probability and

nonprobability sampling is the likelihood of every object in a population being equal for

selection. Probability sampling is superior for making statistical inferences to the

population and minimizing selection bias. However, nonprobability sampling is

advantageous when there is limited time or resources, objects of the target population are

difficult to access or widely dispersed, or there is a need for a quick decision (Oldacre,

2016). I used a nonprobability sampling method to address the overarching research

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question. According to Uprichard (2013), researchers choose a probabilistic or

nonprobability sample selection method depending on their research study method,

design, or questions. Non-probability sampling provides a range of alternative techniques

to select samples based on subjective judgment (Saunders et al., 2009). The participant

selection process was not a random probabilistic sampling process. The participants who

met the criteria for inclusion in the data set had to participate voluntarily in the research

study. Nonprobabilistic sampling was purposeful to identify participants who can help

accept or reject the hypothesis (Uprichard, 2013). Minimizing potential ethical dilemmas

of segregating the data set was necessary by the remaining predictor of the participants.

I used the convenience sampling method for my study. Convenience sampling

involves selecting the participants easiest to obtain for a study. The convenience

sampling technique was a good selection because it guaranteed voluntary participation, as

coercion can leads to the presentation of false data. With convenience sampling, selecting

objects from the target population depends on participants’ self-selection, availability, or

convenience to the researcher (Lipi, 2015). The participants in my study were both

available and convenient to easily access. The participants were hotel employees who

participated voluntarily in the study. According to Landers and Behrend (2015),

convenience sampling is a common form of nonprobability sampling used in research;

however, the method does have weaknesses such as limited reliability and potential

misrepresentation of the population. Other forms of nonprobability sampling, such as

purposive, quota, and respondent-assisted sampling, were not appropriate. Purposive and

quota sampling involve sampling based on predetermined characteristics, while

57

respondent-assisted sampling is useful with populations difficult to reach (Hyysalo,

2015), none of which applied to my study.

Selecting the appropriate sample size was one of the most important parts of the

research design (Beck, 2013). The G*Power 3.1.9.2. software is the calculation tool for

determining the number of required participants for the data set. G*Power is a stand-

alone, power-analysis program for statistical tests commonly used in medical, social, and

behavioral research (Charan & Biswas, 2013). To determine the appropriate minimum

sample size needed for the research, I performed a statistical power analysis. An a priori

power analysis determined sample size because the technique allowed me to choose

power and calculate an appropriate sample size before conducting the study. A power

analysis using G*Power statistical software package indicated a minimum sample size 77

assuming a medium effect size (f 2 = .15) with α = .05 to achieve a power of .80.

Increasing the power to .95 requires a sample size of 118; therefore, a sample size of

between 77 and 118 participants was appropriate for the study.

Figure 1. Power as a Function of Sample Size

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Figure 1. Power as a function of sample size (Beck, 2013).

The alpha level was .05 for other research studies to address employee turnover in

different organizations (Buttigieg & West, 2015). An Alpha level of .05 means there was

a 5% probability of a Type I error or rejecting the null hypothesis when the null

hypothesis is true (Farrokhyar, Reddy, Poolman, & Bhandari, 2015). The power level of

.95 aligns with the probability of Type II errors, or the failure to reject the null hypothesis

when the null hypothesis is false (Farrokhyar et al., 2015).

Ethical Research

When humans are part of the study, it is commonplace for the researcher to obtain

approval from an ethical approval committee before data collection (Gelling, 2016).

Adhering to ethical principles and maintaining integrity is necessary when conducting

research (Lakshminarayan, 2016). Participants received an informed consent form before

the acquisition of any data. The researcher has a responsibility to protect the privacy and

confidentiality of the participants (Marshall & Rossman, 2016). My responsibility as the

researcher involved adhering to principles of the Belmont Report.

The principles of the Belmont Report include informing participants of their

rights and preserving their confidentiality (U.S. Department of Health and Human

Services, 2014). Upon receiving IRB approval (07-10-20-0745815) on July 10th, 2020, I

provided an informed consent form to every participant as part of the online survey

instructions explained (a) the background and purpose of the study, (b) the procedures for

completing and submitting the survey, (c) the voluntary nature of the survey, and (d) how

to withdraw from the survey. The participants received statements about confidentially,

59

the risks and benefits of participating in the study, and contact information for the

researcher and Walden University.

According to the U.S. Department of Health and Human Services (2014), in many

research situations, a researcher must not only provide research participants with an

informed consent form but also obtain written consent. When conducting survey

research, researchers can often use implied consent, which allows for anonymity in

participation (Drysdale, Frost, & McBeath, 2015; Rogers, 2016). Implied consent means

the participants do not sign the consent form; rather, the consent form includes an

explanation to protect participant privacy, the researcher will not request signatures, and

completing the survey will indicate participant consent (Drysdale et al., 2015). I used

implied consent, which means participants indicated their consent by completing and

submitting the online survey. Participants who completed the survey would request a

copy of the study results by checking the “yes” box at the end of the survey which

prompted the individual to provide their email address as the means to send the study

results. The online survey contained an option for participants to save a copy of the

consent form. The use of implied consent and not including any personally identifiable

information in the online survey helped to maintain the anonymity of participants.

Ensuring the protection of participants is imperative. I stored all written records and data

for 5 years on my password-protected computer. After 5 years, I will destroy all data to

protect the confidentiality of participants.

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Data Collection Instruments

I administered a questionnaire using an online software package (Survey

Monkey). Kirwan (2014) created the Employee Turnover questionnaire I used in the

study. Kirwan (2014) used the questionnaire when conducting similar research. The

researcher developed the questionnaire based on (Das & Baruah, 2013) findings. I

contacted individuals who worked in the hotel industry in the U.S. Virgin Islands and ask

the individuals to take part in the survey. I also suggested to the individuals to send the

link to friends or colleagues who had worked in hotels through private emails. The

method selected was due to the need for more diverse information pertaining to the issue

of high employee turnover rates in the U. S. Virgin Islands hospitality industry. The

consent form contained an explanation stating participation in the research would be

voluntary and the participants would have the right to withdraw at any time, before,

during, or after data collection. Answer options to the consent form will be I consent or I

do not consent. After completing the survey, participants could still withdraw from the

study. Participants can withdraw their responses from the study by contacting me via the

e-mail I will provide. Study participants did not receive any incentives or benefits from

participating in the research study.

The questionnaire incorporates all the necessary questions required to gather

information relevant to the research question. The questionnaire has 10 questions. The

questionnaire used a Likert-type scale, which is the standard psychometric scale to

measure responses. The instrument contained a modified 5-point Likert-type scale, which

was an ordinal scale of measurement used in behavioral and organizational research to

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measure the themes. The themes indicate the frequency of each variable, where 1 =

strongly agree, 2 = agree, 3 = not sure, 4 = disagree, and 5 = strongly agree. The

instrument was appropriate for use because base on the findings from previous studies,

the instrument was successful in measuring the three variables. The first and second

questions from the questionnaire gathered the demographic information of each

participant. Within the research process, there were distinctions between the results

deduced from the male gender compared to those of the female gender. Here, the

participants were required to indicate either male or female. The second question

identified the age of the participant.

The third question inquired more about the participant’s employee perception of

work experience. The independent variable was an interval scale of measurement. Here,

there were eight work-related statements, and the participant were required to respond to

them using a five-point Likert type scale such ad strongly agree, agree, not sure, disagree

and finally strongly disagree. The fourth question used the same four variables from

question three but focused on the compensation and benefits packages offered by the

company. The variable was an ordinal scale of measurement. There were four statements,

and the participant was required to respond to them using the five-point Likert scale

mentioned in question three. Question five also used the five-point Likert scale but

focused more on gathering information pertaining to the company. Here, the participants

were required to respond to five statements. Question six gathered information about the

participant’s supervisor or team leader practices. The variable was an interval scale of

measurement. There were seven statements the participants need to respond to (Brace,

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2008). Question seven gathered the opinion of the participant about his or her working

experience. Question eight required the participant to state the reason which compelled

him or her to work for his or her previous company. Question nine focused on negative

perceptions held by the participant towards having worked with the previous company.

Question ten gave the participant a list of motivational tools to encourage him or her to

continue working in a company and required him or her to state what tools he or she

would prefer. The seven tools provided ranging from increased pay, career advancement,

improved training and development activities and much more. There was an “others”

section to allow the participant to include other motivational tools to encourage the

person to continue to work in the hospitality industry (Samuel & Chipunza, 2009). The

instrument was appropriate for use because it helps deliver tactical information for

hospitality leaders to decrease employee turnover rate and maintain economic

sustainability.

Demonstrating the validity and reliability of measurement tools and instruments

was necessary for research. Validity entails a researcher being able to use an instrument

to measure specific items or variables for a latent construct and includes (a) construct

validity, (b) concurrent validity, (c) convergent validity, (d) criterion, discriminant

validity, (f) face validity, (g) factor validity, and (h) predictive validity (Trockel,

Bohman, Lesure, Hamidi, Welle, & Shanafelt, 2018). Validity pertains to the integrity of

the results and conclusions drawn by the researcher must be ethical and display high

moral standards. Ude (2015) discussed the validity of a given data collection instrument

stays the same for different populations and samples and the validity test might not be

63

necessary. A Cronbach’s coefficient alpha with a score of .80 or higher indicates a high

level of reliability and consistency (Cho & Kim, 2015). Reliability refers to the

consistency of a measure, which researchers test using (a) test-retest reliability, (b)

Inter/intra-rater reliability, (c) Inter/intra-instrument reliability (Kelly, Fitzsimons, &

Baker, 2016) and (d) internal consistency (Roger, 2016).

Arnoux-Nicolas, Sovet, Lhotellier, Fabio, & Bernaud (2016) evaluated the

construct validity of the employee turnover survey. The researchers studied 336

employees in different work settings, with a focus on employee turnover. Arnoux-Nicolas

et al. reported the working conditions can predict turnover across all demographic groups.

The results were similar across job types, contract status, full-time and part-time

employees and job tenure. However, the results of previous research indicated an

employee’s age, among other demographic factors, is a determinant of employee

turnover.

Misra, Jain, & Sood (2015) employed Kirwin (2014) survey to assess how

compensation affected employees working in the retail industry in India. Participants

included 118 employees who worked in retail-store operations as store managers and

customer associates in Delhi and the National Capital Region. The findings from Misra,

Jain and Sood stated compensation affects the job satisfaction of employees working in

the retail industry in India. Misra et al. (2015) stated men and women received the same

pay, which explained why the result was similar. Employee turnover and commitment

relate to compensation (Misra et al., 2015).

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The researcher must prove the results adequately address the research question

and even if the study is replicate, the researcher would get the same results. Kirwan

(2014) created the questionnaire used in the study. Kirwan (2014) used the questionnaire

when conducting similar research. There was a sample copy of the survey instrument

located in (Appendix B).

I maintained the data collected and analyzed in a personal safe to protect the

rights and security of participants for no fewer than 5 years. I am the only person with

access to personal safe. The information will remain in my secure possession and

available to the Walden University supervising faculty and representatives responsible for

the conduct of my doctoral study review and acceptance processes. I will delete the data

from all electronic media following the five-year minimum retention requirement.

Data Collection Technique

In quantitative studies, researchers use several data collection techniques,

including the use of surveys and archival data (Abro, Khurshid, & Aamir, 2015).

Researchers administer surveys through various modes, such as electronic, paper, and

phone to collect data individuals or variables to improve upon different areas of business

(Roeser & Kern, 2015). I used Survey Monkey, a web-based data collection tool, to

administer the survey for the study electronically. Investigators used responses from

participants to better understand the impact of specific issues (Salganik & Levy, 2015).

Researchers conduct surveys for different reasons, and depending on several variables,

the process is either advantageous or disadvantageous (Liu & Wang, 2015). Online

surveys are becoming the standard of survey research (Zhang & Zhang, 2015).

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Advantages of using an online survey include reaching a large population, paying

lower costs, collecting a broad range of data, and conducting data collection remotely.

Since the surveys are anonymous, respondents providing more honest answers (Revilla,

Toninelli, Ochoa, & Loewe, 2016). Investigators can gather data from individuals on a

global scale with surveys. Also, researchers spending high dollar amounts for travel, the

design of the survey, and additional overhead costs for other data collection techniques

are unnecessary (Mauceri, 2016). Disadvantages of using an online survey include (a)

participants not providing accurate and honest answers, (b) using close-ended questions

resulting in lower validity rate, (c) respondents interpreting queries and options

differently or not recalling specific information, and (d) encountering data errors due to

non-responses to particular questions (Magro, Prybutok, & Ryan, 2015). I collected the

survey through a web link through Survey Monkey. Overall, researchers collect valuable

information when using online surveys, but in some instances, another data collection

technique is more suitable.

Reliability is concerned with whether the results of the study are repeatable whole

validity concerns the integrity of the conclusions gathered from the research. Reliability

was achieved by looking through several published exit interview surveys and using

questions similar. Pilot testing is unnecessary. Using validated surveys was an acceptable

approach because based on psychometric scales the validity values support the validity of

the study. Kirwin (2014) emailed the questionnaire to the research supervisor and other

experts in the field of questionnaires and edited until it was up to standard. The

questionnaire was email to several friends like the individuals who would be participating

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in the survey. The reason being is to see if the survey was readable and understandable to

individuals who may not have experience in HR.

I sent an email (Appendix A) requesting the use of the Employee Turnover

questionnaire to Stephen Kirwan, a former student at National College of Ireland. I

included a copy of my approved prospectus and a description of my intention to extend

the work of Stephen Kirwan. There is a copy of the questionnaire located in (Appendix

B). There is no intent to adjust or revise the questionnaire.

Data Analysis

The purpose of the quantitative correlational study was to examine the

relationship of employee perceptions of work experience, supervisory practices,

employee compensation with employee turnover. The predictor variables are work

experience, supervisory practices, and employee compensation. The criterion variable is

employee turnover. The null and alternative hypotheses are below.

• Null Hypothesis (H0): There is no significant relationship between employee

perceptions of work experience, supervisory practices, employee compensation,

and employee turnover in the hospitality industry.

• Alternative Hypothesis (H1): There is a significant relationship between employee

perceptions of working experience, supervisory practices, employee

compensation, and employee turnover in the hospitality industry.

Statistical Analysis

The statistical data analysis I used in the study is multiple regression analysis.

Multiple regression analysis helps in determining how much the independent variable

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explained the variation in the dependent variable and the independent variable improved

the accuracy in predicting the values of the dependent variable (Gho & Zhang, 2015).

Multiple regression is the appropriate method of quantitative data analysis when there are

one interval dependent variable and more than one interval or categorical independent

variable (Seng, 2016). The advantage of using multiple regression analysis instead of

bivariate correlational analysis is multiple regression enhances analytic capabilities (Ude,

2015). The capabilities associated with multiple regression analysis include: (a)

demonstrating how variables can predict an outcome, (b) identifying predictor variables

to foresee the outcome, and (c) examining individual subscales and the relative

contribution of each variable scale (Ude, 2015).

Other types of statistical analysis would not meet the needs of the study.

Specifically, bivariate linear regression is unsuitable; bivariate linear regressions involve

the prediction of one variable’s effect on another and not multiple variables (Green &

Salkind, 2013). According to Tellez, Garcia, & Corral-Verdugo (2015), the Pearson

product-moment correlation reflects the strength and direction of the relationship existing

between two variables by using correlation matrix among variables. The statistic

examines the correlation between each variable.

Descriptive and inferential statistics involving multiple linear regression analysis

leaves to a decision about whether to reject the null hypothesis, based on the reported

statistical significance of the results (Antwi & Hamza, 2015). According to Ude (2015),

the statistical software allows the researcher to generate a series of descriptive statistics

including the mean, mode, range, standard deviation, sample skew, and test the

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normality. The descriptive analysis in the study provides a way to aggregate the

participants’ responses. The inferential analysis indicates ways of identifying and

generalizing the relationships among the participants’ responses. The inferential analysis

of the relationships between variables in a sample leads to generalizations or predictions

about how those variables relate to a larger population (Cokley & Awad 2013).

Assumptions

Researchers base multiple regression analysis on certain assumptions.

Researchers proposed five assumptions to be tested when using multiple regression

analysis: (a) measurement error, (b)normality, (c) linearity, (d) multicollinearity, and (e)

homoscedasticity (Kim, Sugar, & Belin, 2015; Kock & Lynn, 2012). In the next

subsections I will provide a discussion of each assumption of multiple regression.

Measurement Error

Valid multiple regression analysis also involves the assumption of no error in the

measure of variables. Cronbach’s alpha is a common test for measurement error (Osborne

& Waters, 2002), but only applies to measures with multiple items (Bedford & Malmi,

2015). The survey instrument in the study contained only single items of measurement, I

did not employ a test for measurement error.

Normality

For a multiple regression analysis to be valid, one assumption was the variables

have normal distributions. To test the assumption, researchers use tests to check for the

normal distribution of variables (Kristensen & Israelsen, 2014). I performed a visual

inspection and create a histogram of each variable for normal distribution and conduct a

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Kolmogorov-Smirnov test to check for normal distribution of each variable. In the event

of outliers or non-normal distributions, researchers can use bootstrapping (Mooney &

Duval, 1993).

Linearity

Another assumption for multiple regression analysis to be valid a linear

relationship between variables must exist. The existence of a categorical or nominal

variable eliminates the risk of violating the linearity assumption. To test the linearity

assumption, researchers can create and analyze scatterplots of variables and standardized

residual values (Kristensen & Israelsen, 2014; Oldacre, 2016. If linear relationships do

not exist, researchers can perform bootstrapping procedures.

Multicollinearity

Data analysis involving multiple variables depends on the correlation structures

among predictive variables. Multicollinearity exist when two or more predictor variables

linearly correlate, indicating the lack of independence between variables (Cohen et al.,

2003; Kristensen & Israelsen, 2014). The negative aspects of violating the assumption

could result in unreliable estimation of results, coefficients with incorrect signs, high

standard errors, and implausible magnitudes. To test for multicollinearity, I examined the

correlation coefficients among the predictor variables.

Homoscedasticity

Homoscedasticity is the assumption refers to the variance of errors similar at all

levels of an independent variable. Homoscedasticity assumptions refers to an equal

distribution of errors among the predictor variables. Conducting a scatterplot analysis

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helped to test for assumptions of homoscedasticity Punzo, Browne, & Mcnicholas, 2016;

Urbano, 2015). To test whether a violation of homogeneity exists, I created and visually

examine plots of residuals to test for homoscedasticity.

Violation of Assumptions

Violating assumptions can result in errors. There are two types of errors, which

can occur when using the inferring statistical significance of the analysis (Akobeng,

2016; Sedgwick, 2014). Type I error when the researchers reject the true null hypothesis

and Type II error results when the researchers do not reject a false null hypothesis

(Delorme, Micheaux, Liquet, & Riouu, 2016; Li & Mei, 2016). Decreasing the p-value,

from .05 to .01, reduces the possibility of a Type I error but also increases the likelihood

of a Type II error (Delorme et al., 2016; Li & Mei, 2016). Punzo et al. (2016) suggested

researchers should use bootstrapping procedures if the violation of an assumption exists.

Therefore, I will use the bootstrapping procedure to mitigate any violations of

assumptions.

Software Data

Common software researchers use to analyze data is the Statistical Package for

the Social Sciences (SPSS). I used SPSS v25.0 to analyze data for the study. After data

collection but before data analysis, researchers visually inspect the survey data for

missing, incomplete, or unusual information (Rogers, 2016). Missing data occurs when

respondents fail to answer a question. Using online surveys can reduce errors resulting

from missing or incomplete data requiring respondents to respond before submitting the

survey and by using data validation features (Timmins, 2015). I used an online survey

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tool (Survey Monkey) requiring responses to each question and including data validation

such as limiting the number of options and requiring whole integers where appropriate.

According to Seaman and White (2013), if missing or erroneous data, researchers

may employ data cleaning. Data cleaning is important in statistical analyses, including

regression analysis. Osborne (2013) discussed four common methods to address missing

data, the most popular being listwise deletion, which is the deletion of any cases with

missing data. Because the likelihood of missing data is minimal, I adopted the procedure

for any missing data.

Study Validity

Study validity is the final consideration of the project. When conducting research,

scholars must take appropriate actions to ensure the validity of the study. Yilmaz (2013)

stated validity is an important aspect of a study, which involves the integrity of the

conclusion drawn from the research. Using the appropriate reference materials helps to

minimize validity threats in the instrumentation, assumptions, or sample size selection.

The two types of validity are internal validity and external validity.

Internal Validity

I conducted a quantitative correlational study, which was a nonexperimental

design. Therefore, threats to internal validity are not relevant to my study. Fortunately,

threats to statistical conclusion validity exist in a correlational study.

Statistical conclusion validity. Bainbridge, Sanders, Cogin, Lin (2017) stated

statistical conclusion validity refers to using statistical evidence to make inferences about

the relationships between independent and dependent variables. Threats to statistical

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conclusion validity can lead to two incorrect conclusions about the correlation between

variables such as knowing a relationship does not exist between variables when one does

exist, and knowing a relationship exists when it does not (Lachmann, Trapp, & Trapp,

2017). Three areas of statistical conclusion validity are instrument reliability, data

assumptions, and sample size.

Reliability of the instrument. Instrument reliability relates to the internal

consistency of the measurement instrument used in the study. The instrument in the study

consist of only single-item measures. Osborne and Waters (2002) stated the Cronbach’s

alpha is required to compare the coefficient of the sample to the instrument. However,

Cronbach’s alpha is appropriate when there are multiple items within a scale (Bedford &

Malmi, 2015). The survey instrument used in the study contained only single items;

therefore, a reliability test of the instrument was not required.

Data assumptions. The data assumptions section includes a discussion of five

data assumptions and related tests for multiple regression analysis. The five assumptions

were the normal distribution of variables, homoscedasticity, a lack of collinearity among

the independent variables, and measurement error. According to Bhandar & Iyer (2013),

a violation of assumptions can result in errors, resulting in the use of a nonparametric

procedure such as discriminant analysis to analyze the data. Researchers may use

bootstrapping procedures to address violations of assumptions (Mooney & Duval, 1993).

I used bootstrapping to address any violations of assumptions.

Sample size. Selecting an appropriate sample size is vital in research. Using a

sample representing the population increases the study validity and external validity

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(Anthoine, Moret, Regnault, Sebille, & Hardouin, 2015). The sample size enabled the

researcher to infer the means developed for each variable to the larger population. The

number of participants representing the population must be reasonable. Kaplan,

Chambers, and Glasgow (2015) stated when the sample size is large enough to represent

the population, then the study results are more generalized, which also helps to minimize

bias. It was critical to the validity of the study to use a sufficient sample size. An a priori

power analysis indicated a minimum sample size 77 assuming a medium effect size (f 2 =

.15) with α = .05 to achieve a power of .80, whereas a power to .95 requires a sample size

of 118. Therefore, a sample size of between 77 and 118 participants is appropriate for the

study.

External Validity

External validity involves generalizing the results of a study to a population. The

type of sampling strategy is the main factor influencing external validity (Uprichard,

2013). Uprichard (2013) stated probability sampling assumes every object in a

population has an equal chance for selection and making statistical inferences to the

population. Nonprobability sampling is useful when certain conditions exist in the

context of business research. However, it can threaten external validity (Gellynck,

Cardenas, Pieniak, & Verbeke, 2015). Nonprobability sampling limits the ability to

generalize the results of the study to other populations.

Transition and Summary

In Section 2, I discussed the research methodology, design, sample, and

populations, as well as survey instruments, data collection processes, and data analysis. I

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discussed the threats and mitigations for internal, external, and statistical conclusion

validity specific to the quantitative correctional research study.

Section 3 includes the results of the statistical analysis, along with an

interpretation of the findings with the application to professional practice, the

implications for positive social change. Next, I plan to address the possibility of biases in

the research. Section 3 includes a recommendation for ideas for action, future research,

and personal reflections about the research. Lastly, I discuss the limitation associated

with my research and end with a concise summary of the conclusions.

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Section 3: Application to Professional Practice and Implications for Change

Introduction

The purpose of this quantitative correlational study was to examine the

relationship between employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover. The specific business problem was that

some hospitality leaders do not know the relationship between employee perceptions of

work experience, supervisory practices, employee compensation, and employee turnover.

I used a multiple regression analysis to examine the relationship between the independent

variables and dependent variable.

The null hypotheses is: No significant relationship exists between employee

perceptions of work experience, supervisory practices, employee compensation, and

employee turnover in the hospitality industry. The alternative hypothesis is: A significant

relationship between employee perceptions of working experience, supervisory practices,

employee compensation, and employee turnover in the hospitality industry. In Section 3,

I cover the following topics: a description of the study, findings presentation,

applicability of the results to the professional practice in business, recommendations and

implications for social change, recommendations for further study, a summary, and

conclusions.

Presentation of Findings

Descriptive Statistics

One hundred participant initially completed the survey for my study. A priori

sample size calculation was 77 participants; as a result, a total of 100 surveys was found

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to be complete and none had to be removed for the analyses. The data were downloaded

into Excel from Survey Monkey. I used SPSS for statistical tests, including the

calculations of means, median, standard deviation, variance, and tests for normality,

among other descriptive and inferential statistics performed. Multiple regression and tests

for correlations occurred to test the hypotheses in this study. The scale size included

strongly agree, agree, somewhat agree, not sure, disagree, somewhat disagree, strongly

disagree, and not applicable. Table 2 includes a summary of the descriptive statistics

pertaining to the variables in the study. The subsections that follow contain detailed

reports of the descriptive and inferential statistics, including the findings and tests

performed on the data.

I used descriptive statistics to determine the general distributions of the variables

using frequency and percentage levels. Using the descriptive statistics led to the

identification of the points of central tendency such as mean, minimum, maximum, and

standard deviation. The sample size for the research was 77 hospitality employees

working on the island of St. Croix, U.S. Virgin Islands. The sample included hospitality

employees who worked in specified locations.

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Table 2

Descriptive Statistics

Variable N Min Max M SD Skewness

Employee perceptions of work experience

100 1.00 8.00 2.36 2.15 1.55

Employee compensation 100 1.00 4.00 1.45 0.82 1.89

Supervisory practices 100 1.00 7.00 1.56 1.30 2.71

The purpose of the frequency distribution in Table 3 was to illustrate the

distribution of female and male hospitality employees who participated in the study by

answering the online survey questions. Of the 100 participants, 60 were female and 40

were male. Table 3 includes the genders of the participants. The frequency column

denotes the number of hospitality employees identified as female or male. The percentage

column reflects the findings stating the majority of the participants were female (60% of

the sample) with a smaller percentage of male participants (40% of the sample). The

cumulative percent column is the cumulative sum based on 100 hospitality employees

who participated in the study, the total of which is 100%.

Table 3

Frequency Distributions of Hospitality Employee’s Gender (N = 100)

Frequency Percent Valid percent Cumulative percent

Valid Male 40 40.0 40.0 40.0

Female 60 60.0 60.0 100.0

Total 100 100.0 100.0

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Figure 2. Hospitality participants’ gender distribution (N = 100). The purpose

was to illustrate the percentage distribution of female and male participants completed the

survey. Women represented 60% of the participants and men represented 40% of the

participants.

Table 4 includes the data collected on participants’ ages. The frequency column

denotes the number of hospitality employees within a specified age bracket. The valid

percent column represents the 100 hospitality employees. The cumulative percent column

is the cumulative sum of the frequency column based on the 100 hospitality employees,

the total of which is 100%. The sample size (N=100) indicates the hospitality employees

who completed the survey within different age categories.

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Table 4 Frequency Distributions of Hospitality Employee’s by Age (N = 100)

Figure 3. Hospitality employee participants’ age distribution (N= 100). The age categories of the participants participated and completed the survey invitation. Age was divided into 5 categories: 18-23 years old (18%), 24-29 years old (28%), 30-35 years old (23%), 36-40 years old (21%), and 41+ years old (10%).

Frequency Percent Valid Percent Cumulative Percent

Valid 18 to 23 18 18.0 18.0 18.0

24 to 29 28 28.0 28.0 46.0

30 to 35 23 23.0 23.0 69.0

36 to 40 21 21.0 21.0 90.0

41+ 10 10.0 10.0 100.0

Total 100 100.0 100.0

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Figure 3 shows the percentage age distribution of the participants based on the

sample size of 100. The highest percentage of participants was the 24 - 29 years age

group, followed by 30 - 35 years, 36 - 40 years old, 18 - 23 years old, and 41+ years,

which was the lowest percentage of participation. The majority of the participating

workers from the hospitality industry in St. Croix, U.S. Virgin Islands were ages 24 - 29

years old, and participants ages 41+ were the lowest percentage.

Figure 4. Histogram representing employee perceptions of work experience

responses.

Based on the results of the survey, there were several issues that challenged the

employees: 69% agreed their job was challenging. Many participants disagreed that their

workload was manageable due to the challenges they face: 45% of participants agreed

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their workload was manageable, 19.57% were unsure, and 7.61% disagreed. There were

10% of participants who believed there were insufficient resources and staff available at

their workplace. Of the participants, 15.21% agreed that their co-workers listened and

valued their suggestions while working, but 38.04% disagreed. Regarding career

advancement, 9.18% of the participants indicated there were no opportunities for them.

Lastly, when the participants were asked about training and development programs,

13.13%, indicated there were not a lot of opportunities for training and development

programs in the hospitality industry.

Figure 5. Histogram representing employee compensation responses

Based on the graph, the participants had an issue with compensation from the

hospitality industry: 18% of participants agreed that wages were paid on time and 73.20%

strongly agreed. Clearly, the hospitality industry paid the employees’ wages promptly.

The next statement asked if the company promoted and practiced work-life balance:

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20.65% of participants disagreed, and 13.04% strongly disagreed. The third statement

asked if there were a range of benefits available to participants: 38.54% disagreed on

whether a range of benefits were available to participants. The last statement asked the

participants if the pay was adequate in relation to responsibility: 36.08% disagreed

therefore the participants did not receive the correct payment for the type of work

performed.

Figure 6. Histogram representing the company

The first statement asked participants if the induction offered when they started

their job helped: 88.04% of participants agreed with this statement. The next statement

asking whether the working environment was positive, 48.42% agreed. Next, the survey

asked if there were adequate resources to do the job: 8.51% agreed with the statement

confirming there were enough resources to do the job. The next statement seeks to find

out whether good relationships existed between employees in the hospitality industry:

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37.76% of participants agreed and 15.31% strongly agreed with the statement. Lastly, this

statement asked if there were sufficient staff to cover the workload: 68.24% of

participants agreed with the statement. The results indicated that there was sufficient staff

however, there were not enough resources to the job.

Figure 7. Histogram representing supervisor practices.

The survey asked if their supervisor or team leader had sufficient knowledge of

the job: 79.17% agreed with the statement. However, 2.08% disagreed with the statement

stating that the supervisor lacked the knowledge of their job. The next statement seeks to

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find out if the supervisor acknowledged an employee’s contribution. There were

uncertainties in the response as 10.75% disagreed and 7.53% were unsure. When asked if

their supervisors provided constructive feedback, 26.32% agreed while 10.53%

disagreed. Another question asked was if the employees supervisors treated them

equally: 23.66% disagreed with the statement. The survey then requested the participants

to state whether the supervisors maintained professional relationship with the employees:

16.49% agreed with the statement. When asked if the supervisor recognized and

acknowledged achievements, 12.90% of the participants disagreed and 4.30% agreed.

Lastly, 2.08% disagreed with the statement that asked whether the supervisor offered and

promoted ways to develop employees. A total of 4.17% participants agreed with this

statement.

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Figure 8. Most common reasons why individuals leave the hospitality industry.

The most common answer given, by 26% of participants was that they left the

hospitality industry because of low wages. The next common answer received was there

was no room for career advancement with 19% of participants giving this a reason for

leaving the hospitality industry. Participants left the industry for a better career

opportunity. Employers need to be looking at why they could not offer the employee a

better career opportunity such as training or promotion to a managerial position.

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Figure 9. A graph representing the reasons why the participants might have stayed

with the company. Based on the results, the main factor is an increase in pay.

This question was used to identify the main reason why the participants would

continue to work with the hospitality industry. The analysis identified by asking this

question played a major role in the determining the major issues causing high employee

turnover in the hospitality industry. A total of 37% of participants stated that an increase

in pay would have made them stay longer with the company. Clearly, there were major

issues with the level of pay these participants received. Next, 28% stated that career

advancement would have made them continue to work with the company. A total of 20%

stated that better training and development opportunities would have made them continue

to work with the company. A total of 6% said more flexible working hours while 3%

stated working less social hours. There were 6% of participants who stated that improved

benefits packages would have made them continue to work with the company.

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Pearson Product-Moment Correlation Coefficient

The finding in this study derived from the 100 participants who completed the

survey. Participants comprised of individuals who worked in the hospitality industry on

the island of St. Croix, United States Virgin Islands. Participants responded to the

Employee Turnover survey. An analysis of data proved to be help determine whether the

variables have a significant relationship. The null hypotheses is: No significant

relationship between employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover in the hospitality industry. The

alternative hypothesis is: A significant relationship between employee perceptions of

working experience, supervisory practices, employee compensation, and employee

turnover in the hospitality industry.

The purpose of the data analysis was to determine whether there was a

statistically significant relationship between the predictor variables and criterion variable

to accept or reject the provided hypotheses using the confidence level of p value, which

must reach the significant level of less than .05 or .005, .01 or .001 (Green & Salkind,

2011). The strength level of the variable relationship can be small (.10), medium (.30),

and large (.50) regardless of sign. Pearson product-moment correlation coefficient can

range from -1 to +1. If r is positive, this polarity means each variable has the same effect

with each other. If r is negative, one variable has a contrast effect on the other. Zero

correlation suggests no relationship existed between two variables (Green & Salkind,

2011). Table 4 shows the correlation coefficient results between employee perceptions of

work experience, employee compensation, supervisory practices, and employee turnover.

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Inferential Results

I conducted correlation and multiple regression analyses to examine the

relationships between employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover in the hospitality industry. The purpose

of the examination was to determine if there was a statistically significant relationship

between the variables to accept or reject the research hypothesis. The results of the

Pearson correlation (Table 5) revealed statistically significant correlations between

employee turnover and all predictor variables (employee perceptions of work experience,

supervisory practices, employee compensation).

Table 5

Pearson Product-Moment Correlation Coefficients Between Predictor Variables and

Employee Turnover

Predictor variables

Employee turnover

(criterion)

Correlations

r

Employee perceptions of work experience

Employee turnover

-.268

Employee compensation Employee turnover

-.289

Supervisory practices

Employee turnover

-.407

Note. N = 100. All correlations were significant at the p < .001 level.

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Table 6

Regression Analysis Summary for Predictor Variables and Employee Turnover

Variable B SE β t B95%

P Bootstrap CI

Employee turnover 6.74 0 0.00 5.58 0.00 [4.33, 9.14]

Employee compensation

3.19 0.09 0.58 1.61 0.02 [-0.75, 7.15]

Supervisory practices

-3.46 0.03 -0.99 -4.11 0.00 [-5.14, -1.79]

Employee perceptions of work experience

0.11 0.08 0.54 0.19 0.04 [-1.06, 1.29]

Note. N = 100

Predictive relationships to the criterion variable. The positive slop for

employee compensation (3.19), as a predictor of employee turnover, indicated a 3.19%

increase in employee turnover for each additional one-unit decrease in employee

compensation. The negative slope for supervisory practices (-3.46), as a predictor of

employee turnover, indicated there was a 3.46% decrease in employee turnover for each

additional one-unit increase in supervisory practices. The positive slop for employee

perceptions of work experience (0.11), as a predictor of employee turnover, indicated

there was a 0.11% increase in employee turnover for each additional one-unit decrease in

employee perceptions of work experience. Employee turnover (criterion variable) tended

to decrease as supervisory practices (predictor variables) increased. Also, employee

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turnover (criterion variable) tended to increase as employee compensation and employee

perceptions of work experience (predictor variables) decreased.

Analysis summary. The null hypothesis was there is no statistically significant

relationship between employee perceptions of work experience, supervisory practices,

employee compensation, and employee turnover in the hospitality industry. The

alternative hypothesis was there are statistically significant relationships between

employee perceptions of working experience, supervisory practices, employee

compensation, and employee turnover in the hospitality industry. The results of the

correlations and multiple regression tests performed on the data collected from the 100

employees in the hospitality industry indicated the presence of statistically significant

relationships between employee turnover and all the predictor variables in the study.

Therefore, it is acceptable to reject the null hypothesis and conclude that there are

statistically significant relationships between variables in this study.

The research included testing the hypotheses through correlation and multiple

regression statistics. The results of the correlation analysis showed that the three

predictors had a statistically significant relationship with employee turnover in the

hospitality industry. The findings from the linear multiple regression showed that the

model consists of the three predictors, employee perceptions of working experience,

supervisory practices, employee compensation. The model as a whole was able to predict

employee turnover, F(3, 100) = 9.08, p < .000, (R2) = 0.22. Therefore, it is acceptable to

reject the null hypothesis. The conclusion from this analysis showed that the three

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variables, employee perceptions of working experience, supervisory practices, employee

compensation were significantly related to employee turnover.

Theoretical conversation of findings. The discussions of the results of this study

include the interpretations of the findings in the context of the theoretical framework,

using the motivation theory by Herzberg that was a guide for this study. The theoretical

framework for this study was Herzberg’s (1966) two-factor motivation-hygiene theory,

emphasizing job satisfaction as an important consideration of organization leaders to

reduce employee turnover. Reducing employee turnover enables industry leaders in their

efforts to maintain long-term growth and profitability (Bryant & Allen, 2015). Herzberg’s

theory, as well as the model presented in this study, helps explain the findings involving

employee perception of work experiences, supervisory practices, and employee

compensation in relation to employee turnover. The application of the motivation-

hygiene theory to my research yielded a higher level of understanding of the patterns of

the interrelationships between the study variables.

Teoh et al. (2016) found that employee perceptions of supervisory practices,

including supportive manager behaviors (SMB), are a significant predictor of job

employee turnover. Consequently, organizational leaders and supervisors must use

effective leadership approaches, which is critical for influencing staff member’s

motivation, thus decreasing employee turnover. Teoh et al. (2016) supported the findings

of this study and found that employee perceptions of work experience are a significant

predictor of employee turnover.

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The predictor variable supervisory practices with employees were found to be

statistically significant of employee turnover. Tu and Lu (2016) found that building

relationships with staff enable leaders to reduce employee turnover, therefore

contradicting the findings of the study. Mohamed (2014) stated employee perceptions of

supervisory practices with employees are correlates of employee turnover. Similarly,

Hansen, Byrne, & Kiersch (2014) found that supervisory practices correlate with

employee turnover.

The results of the correlation tests between employee compensation and employee

turnover stated based on the views expressed by participants in this study, a statistically

significant relationship exists which represents a negative relationship between employee

compensation and employee turnover in the hospitality industry. Misra et al. (2013)

stated employee compensation can affect retention and overall employee turnover. The

finding in this study is consistent with the reported results of Misra et al (2013) who

revealed that employee compensation has a significant negative relationship to hospitality

employee turnover. Compensation is vital for retaining valuable employees however,

compensation does not single-handedly guarantee an employee will stay with an

organization. Most of the employees remain in these positions to support their families

due to there being no additional sources of income. Based on research, there was a high

level of organization constraints hindering hospitality employees due to the inability to

offer higher pay incentives. The findings from testing the hypothesis are consistent with

the Herzberg’s (1959) motivation-hygiene theory, which stated that compensation is a

93

determining factor of employee job satisfaction; perceptions of low compensation could

ultimately lead to high employee turnover.

As a result, high employee turnover in the hospitality industry, supported by the

findings in this study, Chang et al. (2013) suggested a leader scholarly focus remains on

employee recruitment, retention, and turnover in the hospitality industry. The findings of

this study indicate that there is a statistically significant relationship between the three

predictor variables and employee turnover of the employees in the hospitality industry

who participated in this study. In the effort to extend the motivation-hygiene theory

advanced by Herzberg (1966), the correlation and regression results in this study

reflected the additive influence of the constructs (employee perceptions of work

experience, supervisory practices, and employee compensation) in relation to employee

turnover in the hospitality industry.

Applications to Professional Practice

Managers must invest time to get to know direct reports and learn which factors

have an impact on which employees (Issa Eid, 2016). The results of this study include the

relatively negative correlation between employee perceptions of work experiences and

employee turnover. Recognizing employees for achievements can influence staff

members to perform well. The applications of this finding to professional practices

include the opportunity to determine employee perceptions of work experiences to

improve employee work experiences, which may lead to the reduction of voluntary

employee turnover in the hospitality industry.

94

Employee compensation correlated negatively with employee turnover in this

study. The ratings from the participants regarding compensation were collectively more

negative than neutral, in comparison to the scale midpoint. Applications of this finding to

professional practices could involve the determination of optimal compensation scales

that could improve hospitality employees’ perceptions of favorable compensation

conditions and reduce employee turnover in the hospitality industry.

Supervisory practices correlated negatively with employee turnover in this study.

Leaders must understand and analyze the correlates of employee turnover to become

better equipped to reduce turnover. According to Alkahtani (2015), identifying the factors

that predict staff member’s intent to leave can prepare leaders to implement the

appropriate strategies to minimize the cost of employee turnover and retain workers. The

applicability of the findings with respect to professional practice could reduce the costs

associated with the turnover of the hospitality industry. Leaders that use retention

strategies and focus on influencing workers can minimize turnover and reduce the cost

associated with employee turnover.

Implications for Social Change

The findings in this study applied to individuals, communities, organizations, and

society. Retaining skilled employees is essential to the growth, sustainability, and

economic well-being of all businesses, including the hospitality industry. Hospitality

employee retention reduces the costs associated with recruiting, hiring, and training new

workers. Therefore, understanding the factors that lead to employees leaving their jobs is

necessary for organization survival. The results of this study indicate that employee

95

perceptions of work experience, supervisory practices, employee compensation, and

employee turnover are significant factors related to hospitality employee turnover. The

extension of the study of factors involved with turnover serves as the basis for the

development of solutions to the problem. Understanding how employee perceptions of

work experience, supervisory practices, and employee compensation influences employee

turnover are vital for hospitality leaders. By utilizing effective employee retention

strategies and recognizing the factors that increase motivation may lead to a reduction in

employee turnover and a decrease in costs associated with turnover.

Implications to organizations and customers derive from the idea that hospitality

leaders must understand the loss of valuable workers impact service quality, which could

cause financial distress to organizations. An organization may struggle to provide quality

and excellent services to its customers without skilled workers. Implementing strategies

to reduce employee turnover in the hospitality industry can lead to healthier and more

profitable organizations that serve a purpose for members of society. Decreasing

employee turnover include increased success within the hospitality industry, which might

positively influence productivity, raise customer satisfaction, and ultimately increase

organizational profits.

As a practical implication for social change, organizational leaders can apply the

research from this study to develop a better understanding of strategies to implement to

motivate employees and reduce employee turnover. According to Mishra & Garg (2017),

individuals with a positive perception of work experience demonstrate emotional well-

being, earn a higher salary, and uphold a positive relationship with their family,

96

community, organization, and society. By implementing strategies to reduce employee

turnover, lower unemployment, and maintain job continuity, which improves

organizational commitment. Business leaders can use and implement retention strategies

to retain staff, improve employees’ work experience, increase employee motivation, and

increase productivity.

Recommendations for Action

The findings of this research show that employee perceptions of working

experience, supervisory practices, and employee compensation are essential factors to

employees that may affect the community and environment in which they work.

Employee turnover among hospitality employees affects an organization in several ways

and threatens the quality of service to the customers. Parakandi and Behery (2016) stated

organizational leaders are increasingly becoming aware of the need to have strategies and

policies that could lead to a sustainable workforce. Based on the results of the study, I

recommend that organizational leaders implement strategies to enhance employees’

positive perceptions of work experience, supervisory practices, and employee

compensation, as they are significant predictors of turnover in the hospitality industry.

Another key recommendation was that implementing policies and strategies to retain

skilled workers could reduce hospitality employee turnover.

The results of this study presented a foundation on which hospitality leaders can

bring awareness and build turnover reduction strategies to retain skilled workers. A

recommendation for action could potentially involve the implementation of a mentoring

program and recognizing employees’ work. Leaders in the hospitality industry who apply

97

their understanding of business practices may reduce employee turnover and the costly

and disruptive results of employee turnover to organizations.

Recommendations for Further Research

This research study focused on studying employees in the hospitality industry on

the island of St. Croix, U.S. Virgin Islands. Other research should study the age of hotel

staff and whether they as a generation who does not plan on making this job a career, as

opposed to older generations who believe in a job for life. Further research can also

include researching as to whether locals are hired faster than nonresidents in the hotel

industry. Most of the participants in this study were females because it reflects the gender

split with the hospitality industry. Other recommendations for further research involve

the type of research method used on the topics of employee perceptions of working

experience, supervisory practices, employee compensation, and employee turnover. By

utilizing a mixed method study a researcher will be able to determine the quantitative

employee turnover rate and the qualitative reasons why employees leave their jobs.

In this study, the correlational quantitative method was used to determine the

relationships between three variables and to answer the hypotheses. An internet-based

survey was used to address the hypotheses based on the opinions of the hospitality

employees. The survey questionnaire used in this study was a Likert-type scale where

participants could select the answer based on their understanding, which limited

participants to express their feelings and opinions about employee turnover. That is why

using personal interviews with semi structured design may help improve the outcome. By

using semi structured interviews, the participants could explain their feelings and

98

experiences in a meaningful way than just answering the questions by using an ordinal

scale.

Reflections

My doctoral study experience has been challenging and very rewarding. This

process taught me how to be patient. While working on the doctoral study, I was truly

committed to ensuring a healthy balance between school, life, and work. I surrounded

myself with other DBA students that were motivated and engaged in their coursework. I

began to understand that completing each step in the process is a contribution to my

growth and development as a scholar. The experience of conducting this quantitative

correlational study strengthened my skills and knowledge. As a result of this study, I now

understand the correlation between employee turnover and strategies that business leaders

can use to mitigate the issue. After conducting the study, I gained a better understanding

of planning, analyzing, collecting, and interpreting the data from survey participants. I am

grateful for the opportunity to work with my committee on completing the study. Going

through this doctoral study process showed me that hard work and determination truly

pays off.

Conclusion

Employee turnover is a problem for organizations and is one of the challenges

human resource managers and business leaders face (Asimah, 2018). Turnover in the

hotel industry causes loss of productivity and increased cost of replacing employees.

Because of the seasonal nature of the job, long work hours, and related pressures, the

turnover rates for employees remain high in the hotel industry (Chen & Wu, 2017).

99

Direct and indirect costs associated with employee turnover among hospitality employees

combine to make turnover costly to organizations. The purpose of this quantitative

correlational study was to examine the relationship between employee perceptions of

work experience, supervisory practices, employee compensation, and employee turnover.

The study utilized a Likert-type scale to determine if there were statistically significant

relationships between the predictor variables and criterion variable in the study. The

results of 100 surveys for hospitality employees were the statistical basis for the study.

The findings from the study may motivate hospitality leaders to take appropriate actions

to reduce employee turnover and future researchers could investigate the problem by

adding additional variables that may predict employee turnover within the hospitality

industry.

100

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Appendix A: Employee Turnover Survey

Employee turnover in the hospitality industry survey

1. What is your Gender?

Male Female

2. What is your age?

18-23 24-29 30-35 36-40 41+

3. Employee Perceptions of Work Experience

1- Strongly Agree 2- Agree 3- Somewhat Agree 4- Not Sure

5-Disagree 6- Somewhat Disagree 7- Strongly Disagree 8- N/A

Job was challenging

Workload was manageable

Your skills were effectively used

Sufficient resources and staff were available

Your co- worker listened and valued your suggestions

There was opportunity for career advancement

Company’s promotional process is not fair or transparent in my organization

Training and development programs were available

4. Compensation and Benefits

1- Strongly agree 2- Agree 3- Disagree 4- Strongly disagree

Wages were paid on time

Work life balance was promoted and practiced in the company

Range of benefits were available

The pay was adequate in relation to responsibility

5. The Company

1- Strongly Agree 2- Agree 3- Not Sure 4- Disagree 5-Strongly

disagree

When I started the job the induction helped

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The working environment was positive

There was adequate resources to do the job

I have a good relationship with other employees within the company

There was sufficient staff to cover the work

6. Supervisor/Team leader Practices

1- Strongly Agree 2- Agree 3- Somewhat Agree 4- Not Sure 5- Disagree

6- Somewhat Disagree 7- Strongly Disagree 8- N/A

Had sufficient knowledge of the job

Acknowledged employees contribution

Provided constructive feedback

Treated employees equally

Maintained a professional relationship with employees

Recognized and Acknowledged achievements

Offered and promoted ways to develop

7. What did you like most about working with the Company?

8. What was the reason that made you choose to work for the company?

9. What were your reason for leaving the Company?

10. Would any of the following made you stay with the Company

o More flexible working hours

o Working less social hours

o Career Advancement

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o Better training and development opportunities

o Increase in pay

o Improved benefits package

o Other (please specify)

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Appendix B: Permission to use Employee Turnover Survey

Dear Stephen Kirwan, I am a Doctor of Business Administration (DBA) student at Walden University working on my doctoral study requirement. I am interested in extending your work in the U.S. Virgin Islands using the Employee Turnover Questionnaire to measure the relationship of employee perceptions of work experience, supervisory practices, employee compensation, and employee turnover. I intend to conduct a quantitative study to examine employees in the hospitality industry in the U.S. Virgin Islands. I am writing to gain your permission to use the questionnaire through Survey Monkey to measure the relationship of employee perceptions of work experience, supervisory practices, employee compensation, and employee turnover. I am hopeful that my study will add to the broader understanding of desired practice environments, support the development of change initiatives to retain and attract hospitality employees. I would greatly appreciate your support in this endeavor. Respectfully, Ericka Willie Doctor of Business Administration (DBA) Student Walden University

Stephen Kirwan

Hi Ericka,

Hope you are well.

I am happy for you to use this survey. Wishing you all the bets with this piece of work.

Kind regards,

Stephen

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Appendix C: Invitation to Participate in a Research

Based on your knowledge and experience of working in the Hospitality Industry, you are invited to participate in a study that seeks to examine the relationship of employee perceptions of work experience, supervisory practices, employee compensation, and employee turnover.

I am conducting research on “Hospitality Industry Employee Turnover,” to fulfill the requirements of earning a Doctor of Business Administration degree at Walden University. I invite you to take part in this research study, because your shared experiences toward aspects of employee turnover could potentially assist hospitality leaders in formulating policies and strategies that could help decrease employee turnover, while improving performance and productivity in the hospitality industry.

I humbly request that you spare a few minutes of your time to complete the survey via the Survey Monkey link provided. The questions seek your honest opinion regarding your organization’s policies and strategies about employee turnover. The information you provided will remain confidential. All data will be stored in a password-protected electronic format and a personal safe. The results of this study will be used solely for scholarly purposes and may be shared with Walden University representatives.

Your participation in this study is voluntary. There are minimal risks associated with participating in this survey and you will not receive any monetary compensation for participation. You may choose not to participate. Additionally, if you decide to participate in this study, please note that you can withdraw participation at any time.

The study results will be emailed to everyone who was initially invited to participate in the study.

Sincerely,

Ericka D. Willie

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Appendix D: Human Research Certificate of Completion