What makes public employees want to leave their job? A meta‐analysis of turnover intention predictors among public sector employees
| Published date | 01 January 2024 |
| Author | Hyunkang Hur,Gordon Abner |
| Date | 01 January 2024 |
| DOI | http://doi.org/10.1111/puar.13601 |
SCHOLARLY TAKES
What makes public employees want to leave their job?
A meta-analysis of turnover intention predictors among
public sector employees
Hyunkang Hur
1
| Gordon Abner
2
1
Department of Public Administration and
Health Management, School of Business, Indiana
University Kokomo, Kokomo, Indiana, USA
2
LBJ School of Public Affairs, University of Texas
at Austin, Austin, Texas, USA
Correspondence
Hyunkang Hur, Department of Public
Administration and Health Management, School
of Business, Indiana University Kokomo,
Kokomo, Indiana, USA.
Email: hyunhur@iu.edu
Abstract
Despite the growing literature that examines the determinants of turnover
intention in the public sector, little effort has been made to systematize the findings
from this scholarship. To address this research gap, this study conducts the first
meta-analysis of the literature on turnover intention among public sector
employees. The meta-analysis includes 249 effect sizes from 59 studies concerning
the relationship between individual demographic variables, work environment
characteristics, job characteristics, HRM practices, work motivation and work atti-
tudes, and factors related to the external environment and turnover intention. It
finds that predictors related to public employees’job involvement, job exhaustion,
job satisfaction, role ambiguity, affective organizational commitment, and partici-
pation in decision making are among the strongest predictors of turnover inten-
tion. In contrast, individual demographic predictors show small or negligible
effects on turnover intention.
Evidence for Practice
•Public employees who are more engaged in work activities, more satisfied with
their work, and more emotionally attached to their organization are less likely to
quit. Therefore, public managers should monitor employees’work-related atti-
tudes through surveys, performance reviews, and informal channels of feedback
and address any deficits that exist.
•Clarity and consistency in terms of work roles and objectives are fundamental to
minimizing turnover. Thus, public managers should make sure that there is a
shared understanding regarding job roles among relevant stakeholders and
ensure that the job roles are clearly spelled-out in the official employee manual
and updated when necessary.
•Public employees are more likely to remain at their workplace when they per-
ceive that they are being treated fairly and are meaningfully involved in
decision-making processes. Therefore, before making decisions that dramatically
affect employees’job duties, performance evaluation, or compensation, man-
agers should gather feedback from employees about whether and potentially
how to proceed. Once a decision has been made, managers should communi-
cate how they incorporated feedback from employees into their decision-
making process.
•Human resource management practices, including diversity management, per-
formance appraisal and feedback, and training and development, can help mini-
mize turnover. Therefore, public agencies would benefit from well-funded
human resource departments that can aid managers in implementing best prac-
tices in regard to diversity management, performance feedback, and training
and development.
Received: 21 February 2022 Revised: 30 November 2022 Accepted: 18 December 2022
DOI: 10.1111/puar.13601
Public Admin Rev. 2024;84:115–142. wileyonlinelibrary.com/journal/puar © 2023 American Society for Public Administration. 115
INTRODUCTION
Managing human resources successfully is essential to
helping government agencies accomplish their missions
while minimizing turnover. High levels of turnover within
government agencies undermine the quality of services
that citizens receive (An, 2019; Lee, 2018; Moon, 2017;
Wynen et al., 2019). Furthermore, high turnover is expen-
sive for governments due to the costs of recruiting,
selecting, and training new personnel. During the past
two decades, public organizations have encountered diffi-
culties in maintaining public employees. The severity and
prevalence of turnover among organizations have
resulted in increased attention and research. A variety of
theoretical explanations have been offered for why turn-
over intention occurs, and numerous constructs have
been examined as antecedents of turnover intention
(Bertelli, 2006; Cornog, 1957; Feiock & Stream, 1998;
Grissom et al., 2016; Lee et al., 2021; Lewis, 1991; Pitts
et al., 2011). While there is a robust literature that exam-
ines the determinants of turnover intention in the public
sector, little effort has been made to systematically inves-
tigate and integrate the findings of such scholarship. Our
public administration scholar’s understanding is still
based on—and consequently limited by—a dispersed
collection of studies varying in terms of methodology and
often reflecting inconsistent findings. To address this
research gap, this study conducts a meta-analysis of the
existing literature on the turnover intentions of public
sector employees.
This paper employs a meta-analysis of the predictors of
turnover intention in the public sector to further analyze
and integrate the varied findings within the literature, to
compare effect sizes among the determinants, and to over-
come the shortcomings associated with individual studies,
such as “small sample sizes, selection biases, error of mea-
surement, and reporting errors”(Kim & Kao, 2014, 215).
While prior meta-analyses of turnover exist, they focus on
turnover itself rather than turnover intention (Cotton &
Tuttle, 1986; Griffeth et al., 2000;Hom&Griffeth,1995),
specific occupations (Mor Barak, Nissly, and Levin, 2001;
Kim & Kao, 2014;Yin&Yang,2002), specific industries
(Matz et al., 2014), or examine a limited set of determinants
(Ozkan et al., 2020; Podsakoff et al., 2007;Tettand
Meyer, 1993;Zimmerman&Darnold,200 9). As a conse-
quence, this study contributes to existing research by con-
ducting the most comprehensive meta-analysis of the
determinants of turnover intention across the generic and
public management literature.
This study seeks to improve our understanding of
turnover intention among public sector employees by
conducting a meta-analysis of the existing literature. More
specifically, the goals of this study were to: (1) comprehen-
sively search, review, and summarize the empirical
research on the determinants of turnover intention
among public employees; and (2) utilize meta-analytic
techniques to examine the relationship between turnover
intention and key determinants among public sector
employees. The public sector attracts workers with higher
levels of pro-social or public service motivation than the
private sector and is also characterized by greater levels
of rules and regulations for hiring, due process, firing, pro-
motion, and pay raises. Therefore, in future research,
when scholars of generic management conduct a com-
prehensive meta-analysis of the determinants of turnover
intention, the findings from that study can be compared
to the findings from this one to identify whether sectoral
differences exist across a range of determinants. Thus, this
study builds upon what we already know from the exist-
ing literature on turnover intention, investigates a
broader range of determinants, and provides avenues for
future research regarding sectoral differences.
This article is organized into four sections. First, the lit-
erature review identifies relevant theories and previous
empirical findings. The next sections explain the meta-
analytic research methodology and present the results.
We then conclude with a discussion of the results, impli-
cations for literature, practice, and recommendations for
future research.
Literature review
Turnover intention refers to a “conscious and deliberate
willfulness to leave”one’s organization (Matz et al., 2014,
234). Turnover intention is typically measured in one of
three ways: (1) the respondent’s expectation to stay or
leave their organization, also known as withdrawal cogni-
tions, (2) the respondent’s job search behaviors, also
known as withdrawal behaviors, (3) or a combination of
the two.
Scholars have drawn upon numerous theories to
explain turnover intention (Ngo-Henha, 2018). Examples of
such theories include March and Simon’s two-factor theory
(March & Simon, 1958), the theories of exit, voice, and loy-
alty (Lee & Whitford, 200 8), goal setting theory (Locke &
Latham, 1990), Social Exchange Theory (SET) (Ertas, 2019),
public service motivation theory (Campbell & Im, 2016),
the theory of planned behavior (Van Breukelen & van der
Vlist, 2004), and the Steers and Mowday Model (Steers &
Mowday, 1981). Most of these theories are middle-range
theories, meaning they are “concrete enough to generate
testable hypotheses,”and they focus on particular organi-
zational characteristics, job characteristics, factors related
to the external environment, and/or normative pressures
that are theorized to affect the desirability to stay (Abner
et al., 2017, p. 141).
By contrast, three of the theories are open-ended and
do not focus on particular factors that affect the desirabil-
ity to stay. These include the theory of exit, voice, and loy-
alty, SET, and the Steers Mowday Model. The first of these
theories argues that the “likelihood of exit depends on
the access to mechanisms that support exercising voice
or that enhance…loyalty”(Lee & Whitford, 2008, 649).
116 WHAT MAKES PUBLIC EMPLOYEES WANT TO LEAVE THEIR JOB?
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