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<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fpsyg.2025.1631551</article-id>
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<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Mediators and moderators in voluntary turnover intention: a scoping review in the public service</article-title>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Silva</surname> <given-names>Ana Cl&#x00E1;udia A. M.</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn004"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Neiva</surname> <given-names>Elaine R.</given-names></name>
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<contrib contrib-type="author">
<name><surname>Damasceno</surname> <given-names>Daniel Pereira</given-names></name>
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<contrib contrib-type="author">
<name><surname>Ferreira</surname> <given-names>Felipe Orsini F. B.</given-names></name>
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<aff><institution>Department of Social, Labor, and Organizational Psychology, Institute of Psychology, University of Bras&#x00ED;lia</institution>, <addr-line>Bras&#x00ED;lia</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/696507/overview">Meni Koslowsky</ext-link>, Ariel University, Israel</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1736719/overview">Martinus Tukiran</ext-link>, Podomoro University, Indonesia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2763578/overview">Mahmut Akin</ext-link>, K&#x0131;r&#x0131;kkale University, T&#x00FC;rkiye</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ana Cl&#x00E1;udia A. M. Silva, <email>claudia.ana@aluno.unb.br</email></corresp>
<fn fn-type="other" id="fn004"><p><sup>&#x2020;</sup>ORCID: Ana Cl&#x00E1;udia A. M. Silva, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-6384-2278">orcid.org/0000-0002-6384-2278</ext-link>; Elaine R. Neiva, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-0503-3234">orcid.org/0000-0003-0503-3234</ext-link>; Daniel Pereira Damasceno, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0009-0004-1735-3387">orcid.org/0009-0004-1735-3387</ext-link>; Felipe Orsini F. B. Ferreira, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0009-0006-2496-974X">orcid.org/0009-0006-2496-974X</ext-link></p></fn></author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1631551</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Silva, Neiva, Damasceno and Ferreira.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Silva, Neiva, Damasceno and Ferreira</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Recent meta-analyses present the main predictors of voluntary turnover intention (VTI) and propose the investigation of mediators and moderators as a way to enhance the explanation of the relationship.</p>
</sec>
<sec>
<title>Objectives</title>
<p>This study conducts a scoping review of the main moderating and mediating variables in studies on VTI, focusing on the public servants in the executive branch. The review aimed to fill gaps by including more studies from developing and Asian countries, identifying the main mediating and moderating variables that can help explain VTI from the initial thought to the actual departure. Method: The PRISMA protocol for scoping reviews was followed. Online database searches were conducted to identify empirical articles published in the last 20 years, from which 51 publications were selected.</p>
</sec>
<sec>
<title>Results</title>
<p>Forty-five different variables were identified, grouped into six different dimensions: (a) motivation, attitudes, and behaviors related to work; (b) person-organizational context relationship; (c) organizational characteristics and context; (d) personal conditions related to work; (e) human resource management practices; and (f) demographics. Moderating variables were found in 15 studies, mediating variables in 26 studies, and 10 studies evaluated both relationships.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Seven variables showed a complete mediating effect, which can strongly contribute to explaining the path leading to VTI. These variables are person-organization fit, goal clarity, intrinsic motivation, organizational prestige, leader-member exchange, job satisfaction, and organizational support. Additionally, important moderators related to human resource management practices were detected. Human Resources (HR) departments within public sector organizations can leverage the key mediating and moderating variables from this review to periodically assess employee turnover and VTI.</p>
</sec>
</abstract>
<kwd-group>
<kwd>voluntary turnover intention</kwd>
<kwd>moderator</kwd>
<kwd>mediation</kwd>
<kwd>scoping review</kwd>
<kwd>HRM</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="142"/>
<page-count count="16"/>
<word-count count="12781"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Organizational Psychology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1 Introduction</title>
<p>Both public and private organizations are concerned with turnover or the loss of an employee, especially when the departing individual is a key person. The departure of this individual can lead to a loss of institutional memory (<xref ref-type="bibr" rid="B132">Verma and Kesari, 2020</xref>), the need for personnel replacement, higher costs associated with hiring and training new professionals (<xref ref-type="bibr" rid="B96">Moynihan and Pandey, 2007</xref>; <xref ref-type="bibr" rid="B125">Sharma and Stol, 2020</xref>), absenteeism, presenteeism, or demotivation (<xref ref-type="bibr" rid="B33">Chang et al., 2013</xref>), increased workload for remaining employees, and work disruption (<xref ref-type="bibr" rid="B42">Di&#x00F3;genes et al., 2016</xref>).</p>
<p>Every organization experiences a certain level of turnover, represented by the ratio of members who leave the organization during a specific period, typically expressed as a percentage (<xref ref-type="bibr" rid="B85">March and Simon, 1965</xref>). Turnover becomes problematic when the percentage of individuals leaving is high (<xref ref-type="bibr" rid="B70">Kim and Fernandez, 2017</xref>). Organizational turnover is classified as either involuntary or voluntary. Involuntary turnover is characterized by departures initiated by the organization (<xref ref-type="bibr" rid="B57">Heavey et al., 2013</xref>), such as dismissal or, in the case of an employee&#x2019;s death. Conversely, voluntary turnover refers to departures initiated by employees themselves, stemming from their own interest and at their request&#x2014;that is, it possesses a volitional characteristic (<xref ref-type="bibr" rid="B92">Mobley, 1982</xref>; <xref ref-type="bibr" rid="B60">Hom and Griffeth, 1995</xref>).</p>
<p>Much of the research in this field focuses on the voluntary aspect of turnover, as it is often considered more detrimental to the organization and occurs more frequently (<xref ref-type="bibr" rid="B60">Hom and Griffeth, 1995</xref>; <xref ref-type="bibr" rid="B73">Lambert and Hogan, 2009</xref>; <xref ref-type="bibr" rid="B70">Kim and Fernandez, 2017</xref>), and, more specifically, on voluntary turnover intention (VTI). The intention to engage in a behavior is the best predictor of actually performing that behavior (<xref ref-type="bibr" rid="B3">Ajzen and Fishbein, 2000</xref>). VTI is an immediate precursor to the behavior of leaving, i.e., the desire to leave the organization, an antecedent to actual departure (<xref ref-type="bibr" rid="B91">Mobley, 1977</xref>; <xref ref-type="bibr" rid="B93">Mobley et al., 1978</xref>). VTI is distinct from other similar constructs, such as negative behaviors detrimental to others or the organization, disengagement behaviors, and work avoidance behaviors, according to a recent meta-analysis (<xref ref-type="bibr" rid="B31">Carpenter and Berry, 2017</xref>).</p>
<p>Although high VTI does not always equate to actual employee departure, cognitions related to thoughts of leaving demonstrated the strongest correlations with actual turnover in a recent meta-analysis (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>). VTI is the final stage of a multi-step decision-making process that can culminate in an employee&#x2019;s departure (<xref ref-type="bibr" rid="B29">Campbell and Im, 2016</xref>). Analyzing VTI can offer several benefits to organizations, such as: (a) identifying the percentage of employees who exhibit VTI; (b) identifying the key variables or factors that influence VTI; (c) enhancing human resource management practices to address the key identified factors and variables influencing VTI; and (d) reducing organizational costs associated with actual turnover (<xref ref-type="bibr" rid="B94">Morrell et al., 2004</xref>; <xref ref-type="bibr" rid="B95">Moynihan and Landuyt, 2008</xref>; <xref ref-type="bibr" rid="B66">Jung, 2014</xref>; <xref ref-type="bibr" rid="B61">Hom et al., 2017</xref>).</p>
<p>Theories explaining employee departure originated in the late 20th century, primarily inspired by motivational causes, particularly job dissatisfaction (<xref ref-type="bibr" rid="B91">Mobley, 1977</xref>; <xref ref-type="bibr" rid="B93">Mobley et al., 1978</xref>; <xref ref-type="bibr" rid="B86">March and Simon, 1979</xref>). These initial theories were subsequently expanded over more than a century of research (<xref ref-type="bibr" rid="B61">Hom et al., 2017</xref>), elucidating the understanding of distal and proximal antecedents to the phenomenon of voluntary employee departure from their work environment (<xref ref-type="bibr" rid="B111">Porter et al., 1976</xref>; <xref ref-type="bibr" rid="B127">Steers and Mowday, 1981</xref>; <xref ref-type="bibr" rid="B92">Mobley, 1982</xref>; <xref ref-type="bibr" rid="B59">Hom and Griffeth, 1991</xref>). Subsequent theoretical developments indicate that departure involves a process with various potential pathways, following an initial trigger by thoughts of leaving (<xref ref-type="bibr" rid="B90">Mitchell and Lee, 2001</xref>; <xref ref-type="bibr" rid="B61">Hom et al., 2017</xref>).</p>
<p><xref ref-type="bibr" rid="B75">Lee and Mitchell&#x2019;s (1994)</xref> unfolding model of turnover, one of the most cited in the literature, posits an interconnection among cognitions, affect, and thoughts. This process is driven by various interrelated variables that, by influencing one another, lead an individual to the decision to stay with or leave an organization. Consequently, the path from the initial thought of leaving to actual turnover involves antecedent and predictor variables, as well as mediating and moderating variables (<xref ref-type="bibr" rid="B75">Lee and Mitchell, 1994</xref>; <xref ref-type="bibr" rid="B90">Mitchell and Lee, 2001</xref>; <xref ref-type="bibr" rid="B6">Allen and Hancock, 2024</xref>). Despite representing a significant advancement, none of these models provides clarity on what the main variables are. In this regard, two meta-analyses (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>) identify the primary antecedent and predictor variables. However, both meta-analyses do not specify which variables act as mediators or moderators in the relationships.</p>
<p>Antecedent and predictor variables with the largest effect sizes that can lead to voluntary departure fall into the following main categories: (a) work-related motivation, attitudes, and behaviors; (b) person-context fit; (c) organizational characteristics and context; (d) work-related personal conditions; (e) human resource management practices; (f) demographics; (g) external labor market factors; and (h) disengagement attitudes (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>).</p>
<p>The meta-analysis by <xref ref-type="bibr" rid="B115">Rubenstein et al. (2018)</xref> primarily comprises studies conducted in private companies. The meta-analysis by <xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref> focuses on the public sector. A key limitation identified in both meta-analyses is their reliance on research primarily from the United States of America (USA) and Western European countries, with limited inclusion of other countries and cultures. These findings may not be generalizable to developing countries, such as Brazil, and nations in Africa and Asia. There is a prevalence of a Western perspective, likely reflecting a predominantly White viewpoint and originating from more developed nations.</p>
<p><xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref> also highlight a research gap concerning the exploration of moderators to explain additional variance in the relationship between predictors and VTI. An analysis evaluating moderating variables examines whether the relationship between two variables is influenced by a third variable (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>). Moderation indicates when or for whom certain effects are stronger or weaker. Research is already advancing in this direction by focusing on complex relationships; for instance, a study with 250 employees from public and private organizations in Belgium found that ethical leadership moderated the relationship between frequent changes and VTI, weakening this association (<xref ref-type="bibr" rid="B13">Babalola et al., 2016</xref>). A high psychological climate was found to moderate the relationship between low affective commitment and VTI in a study in Ghana (<xref ref-type="bibr" rid="B54">Gyensare et al., 2017</xref>).</p>
<p><xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref> also suggest that future research should simultaneously examine the strongest attitudinal predictors of turnover to determine reciprocal relationships and uncover mediating influences. Mediating variables intervene in the process or are mechanisms through which an independent variable influences a dependent variable (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>). A mediator is positioned between a key antecedent variable and VTI, meaning there is an indirect effect.</p>
<p>Many studies explore the mediation of attitudes due to their capacity to shape affect, behaviors, and cognitions regarding the work environment (<xref ref-type="bibr" rid="B53">Grama and Todericiu, 2016</xref>). A study with graduates of a hospitality business program and technology industry professionals, respectively, found that career commitment partially mediated the relationship between challenging work and VTI, and fully mediated the relationship between social support and VTI (<xref ref-type="bibr" rid="B134">Walsh, 2016</xref>; <xref ref-type="bibr" rid="B79">Lin, 2020</xref>). A study involving 189 nurses in Portugal found that a sense of calling fully mediated the relationship between challenging job demands and VTI (<xref ref-type="bibr" rid="B47">Esteves and Lopes, 2017</xref>).</p>
<p>Understanding both moderators and mediators influencing VTI is essential for developing more targeted and effective organizational strategies tailored to different contexts and employee subgroups. This contributes to an in-depth understanding of the turnover process, aids in reducing turnover, and supports talent retention. Identifying the primary reasons why individuals consider leaving their current workplace, and subsequently seeking to mitigate these factors, is far more effective than dealing with the problems and financial costs associated with actual employee departures (<xref ref-type="bibr" rid="B36">Chung and Jeon, 2020</xref>).</p>
<p>Thus, the primary objective of this literature review is to identify the key moderating and mediating variables that appear in studies where VTI is assessed in public organizations within the executive branch. By restricting the scope to the executive branch, the aim is to subsequently replicate these key variables in predictive models of VTI within the same branch of government in Brazil.</p>
<p>This review will also seek to broaden the scope to include studies from developing countries, drawing parallels with the variables highlighted in the meta-analyses (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>) and identifying those variables that have been studied according to the local context of each study. It will be important to detect instances where the same variable can function as either a mediator or a moderator, as this depends on &#x201C;how the phenomenon under investigation is conceptualized and subsequently tested&#x201D; (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>, p. 9).</p>
</sec>
<sec id="S2">
<title>2 Methods</title>
<p>A scoping review methodology was adopted (<xref ref-type="bibr" rid="B10">Arksey and O&#x2019;Malley, 2005</xref>; <xref ref-type="bibr" rid="B109">Pham et al., 2014</xref>) to identify moderating and mediating variables in research on VTI, addressing a gap identified in the study by <xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref>. This review followed five main stages: (1) identifying the research question, (2) identifying relevant studies, (3) study selection, (4) charting the data, and (5) collating, summarizing, and reporting the results (<xref ref-type="bibr" rid="B10">Arksey and O&#x2019;Malley, 2005</xref>; <xref ref-type="bibr" rid="B77">Levac et al., 2010</xref>).</p>
<sec id="S2.SS1">
<title>2.1 Research question</title>
<p>The research question guiding this study was: &#x201C;What are the key mediating and moderating variables, along with their respective instruments, found in studies on VTI among public servants working in the executive branch?&#x201D; This question addresses the specific population, construct, context, and research design (<xref ref-type="bibr" rid="B131">Tricco et al., 2018</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>2.2 Identification of relevant studies</title>
<p>On 18 February 2024, searches were conducted in the electronic databases EBSCO, Web of Science, American Psychological Association (APA), Latin American and Caribbean Health Sciences Literature (LILACS), and PubMed. These databases index research in the fields of administration and business, health, psychology, and education&#x2014;the main knowledge areas that study VTI. The searches were limited to the inclusion of the English word &#x201C;turnover&#x201D; in the title and the English word &#x201C;public&#x201D; in the abstract of the articles. For all fields, the exclusion of the English word &#x201C;private&#x201D; was requested. The search strategy was: [(TI = (&#x201C;turnover&#x201D;)) AND AB = (&#x201C;public&#x201D;)] NOT ALL = (&#x201C;private&#x201D;). Filters were applied to restrict results to peer-reviewed scientific articles published within the last 20 years.</p>
<p>The following inclusion criteria were adopted: (1) quantitative articles; (2) VTI had to be the predicted or dependent variable; (3) the sample had to consist of public servants within the executive branch in their respective countries. Articles that did not meet these criteria were excluded. The identification of mediating and moderating variables was deferred to the full-text reading stage, as it was found that in older articles, this information was often absent from the abstracts.</p>
<sec id="S2.SS2.SSS1">
<title>2.2.1 Study selection</title>
<p>The identification and selection process for relevant articles was conducted by two independent reviewers. In cases of disagreement between them, a third reviewer, an expert in the field, made the final decision. The two independent reviewers initially screened the titles and abstracts of all articles to select those for the eligibility assessment. Articles that advanced to the eligibility assessment were read in full, and those lacking mediating or moderating variables were excluded at this stage. Also excluded were articles where the sample did not consist of public servants from the executive branch, those that did not feature VTI as a dependent or predicted variable, articles that could not be retrieved, and articles in Chinese, Japanese, or Serbian, which could not be read. The Kappa coefficient calculation (<xref ref-type="bibr" rid="B74">Landis and Koch, 1977</xref>) indicated almost perfect agreement between the reviewers, both for article inclusion in the screening phase (&#x03BA; = 0.94, <italic>p</italic> &#x003C; 0.001) and for inclusion in the eligibility phase (&#x03BA; = 0.89, <italic>p</italic> &#x003C; 0.001).</p>
<p>The risk of bias in each article selected for eligibility was assessed using the Risk of Bias Utilized for Surveys Tool (ROBUST), which evaluates presence or absence (yes or no). Of the eight specified types of risk of bias, seven were used. The eight types of biases considered refer to: (1) sample representativeness; (2) participant recruitment method; (3) percentage of excluded participants; (4) final sample size; (5) presentation of sociodemographic variables; (6) reliability of the measures used; and (8) data administration (<xref ref-type="bibr" rid="B101">Nudelman and Otto, 2020</xref>). Criterion (7), controlled data collection environment, was not used because the research objective is to analyze organizational environments, meaning there is no control of conditions as in a laboratory setting.</p>
<p>The ROBUST was completed by three independent reviewers, and in cases of disagreement among them, a fourth reviewer was consulted to resolve discrepancies. Compliance with the criteria was coded as 1 for &#x201C;yes&#x201D; and 2 for &#x201C;no.&#x201D; The Kappa calculation indicated agreement ranging from substantial to almost perfect (0.73 &#x2264; &#x03BA; &#x2264; 0.98, <italic>p</italic> &#x003C; 0.001; 95% CI). <xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix C</xref> shows the bias analysis performed, and all articles that did not meet a minimum of four criteria were excluded. <xref ref-type="fig" rid="F1">Figure 1</xref> shows each of the stages, the number of articles, the exclusion criteria, and the number of articles eliminated. All files for this review are available at <ext-link ext-link-type="uri" xlink:href="https://osf.io/eb3uf/files/osfstorage">https://osf.io/eb3uf/files/osfstorage</ext-link>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Stages of the literature review.</p></caption>
<alt-text>Flowchart of literature selection for a study. Records identified from EBSCO (59), Web of Science (381), APA (3), Lilacs (4), and PubMed (165) total 612. After removing duplicates and retractions, 284 proceed to title and abstract screening. Further exclusions lead to 128 articles assessed for eligibility. Sixty-one are deemed eligible, with 10 used for ROBUST analysis, resulting in 51 included articles.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1631551-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="S2.SS3">
<title>2.3 Data extraction and organization</title>
<p>The reviewers who participated in the article selection stage also worked independently on extracting relevant data from the articles. In cases of disagreement between the reviewers, a third reviewer was consulted (the same one from the previous stage). The following information was extracted from the articles: (1) mediating and moderating variables present in the studies; (2) instruments used (type, measurement method, and sample item); (3) country of the authors and of the study; (4) study period; and (5) sample (size, type, and field of work).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3 Results</title>
<p>This section presents the compiled, summarized, and reported results. <xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix A</xref> provides the table with the information extracted from the 51 articles included in this scoping review. The list of excluded articles is provided in <xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix B</xref>. The risk of bias assessment is provided in <xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix C</xref>. All appendices are in the <xref ref-type="supplementary-material" rid="DS1">Supplementary materials</xref>. There was an increase in the number of studies from 2016 onward, with a peak in 2023 with the publication of 19 articles, as shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. The topic of VTI has been gaining prominence in the public service. The year 2020 coincided with the COVID-19 pandemic, which explains the drastic reduction; data for 2024 reflects only the first 2 months of the year.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Number of articles published per year.</p></caption>
<alt-text>Line graph showing data from 2008 to 2024. The values remain low and stable from 2008 to 2019. A significant increase occurs in 2020, peaking in 2022, followed by a sharp decline in 2024.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1631551-g002.tif"/>
</fig>
<p>Only 11 articles referenced by <xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref> are included in this scoping review (<xref ref-type="bibr" rid="B110">Pitts et al., 2011</xref>; <xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>; <xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>; <xref ref-type="bibr" rid="B69">Kim, 2015</xref>; <xref ref-type="bibr" rid="B27">Caillier, 2016a</xref>,<xref ref-type="bibr" rid="B28">b</xref>; <xref ref-type="bibr" rid="B29">Campbell and Im, 2016</xref>; <xref ref-type="bibr" rid="B70">Kim and Fernandez, 2017</xref>; <xref ref-type="bibr" rid="B126">Shim et al., 2017</xref>; <xref ref-type="bibr" rid="B65">Jin et al., 2018</xref>; <xref ref-type="bibr" rid="B116">Sabharwal et al., 2019</xref>). The adopted search strategy enhanced the inclusion of Eastern and developing countries. Nevertheless, a prevalence of the USA is still evident, accounting for the most authors and investigated samples, as can be observed in <xref ref-type="fig" rid="F3">Figure 3</xref>, which provides a breakdown of the leading countries by author origin and study location.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Leading countries by author origin and study location.</p></caption>
<alt-text>Bar chart depicting the number of authors and studies across ten countries. The USA has the highest numbers, followed by China and the Republic of Korea. Other countries like Turkey, UAE, and Indonesia have lower counts. The bars differentiate between authors and studies.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1631551-g003.tif"/>
</fig>
<p>In addition to the countries shown in <xref ref-type="fig" rid="F3">Figure 3</xref>, the following countries are also represented with authors and samples: Canada, Egypt, Ethiopia, Ghana, India, Nigeria, Pakistan, Thailand, and Vietnam. The following countries appear only with authors conducting research in other nations: Saudi Arabia, Bangladesh, Cyprus, Spain, Portugal, the United Kingdom, and Russia. The following countries have groups of public servants investigated in studies but do not have authorship in the analyzed studies: Australia, Bhutan, Iraq, Jordan, and Kuwait.</p>
<p>Only two studies featured a longitudinal design (<xref ref-type="bibr" rid="B97">Mullins et al., 2021</xref>; <xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>). Convenience sampling accounted for 49% of the articles, and random sampling for 51%. Regarding the public servants&#x2019; field of work, the studies were distributed as follows: multiple areas (37.25%), education (17.65%), health (13.73%), others (13.73%), government agencies (9.80%), inspection/regulation (3.92%), public safety (1.96%), and not described (1.96%).</p>
<p>Fifteen studies included only moderating variables, 26 studies assessed mediating relationships, and 10 assessed both. In total, there are 45 different variables, which were grouped based on the divisions proposed <xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref>, <xref ref-type="bibr" rid="B115">Rubenstein et al. (2018)</xref> meta-analyses: (a) work-related motivation, attitudes, and behaviors; (b) person-organizational context fit; (c) organizational characteristics and context; (d) work-related personal conditions; (e) human resource management practices; and (f) demographics (<xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>; <xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>). These authors compile the categories from the literature (<xref ref-type="bibr" rid="B127">Steers and Mowday, 1981</xref>; <xref ref-type="bibr" rid="B76">Lee and Mowday, 1987</xref>; <xref ref-type="bibr" rid="B58">Holtom et al., 2008</xref>). The mediating and moderating variables extracted from the articles were then classified by each judge according to the previously defined categories. <xref ref-type="table" rid="T1">Table 1</xref> presents the grouping with the largest number of variables (12) aimed at measuring individuals&#x2019; motivation, attitudes, and behaviors toward their work.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Work-related motivation, attitudes, and behaviors.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Study (country)</td>
<td valign="top" align="center">Field of work</td>
<td valign="top" align="center">Med</td>
<td valign="top" align="center">Mod</td>
<td valign="top" align="center">Category %</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="9">1. Job satisfaction</td>
<td valign="top" align="center">South Africa</td>
<td valign="top" align="center">Agencies</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">44.00%</td>
</tr>
<tr>
<td valign="top" align="center" rowspan="2">China</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">United Arab Emirates</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center" rowspan="3">USA</td>
<td valign="top" align="center">Agencies</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Kuwait</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Thailand</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">2. Public service motivation</td>
<td valign="top" align="center" rowspan="2">China</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.00%</td>
</tr>
<tr>
<td valign="top" align="center">Not described</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center" rowspan="2">Republic of Korea</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">3. Negative affect</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">4. Self-efficacy</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td/>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">5. Change-oriented organizational citizenship behavior</td>
<td valign="top" align="center">Republic of Korea</td>
<td valign="top" align="center">Outros</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">6. Followership behavior</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">7. Career commitment</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">8. Incivility</td>
<td valign="top" align="center">Indonesia</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">9. Employee loyalty</td>
<td valign="top" align="center">Jordan</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">10. Intrinsic motivation</td>
<td valign="top" align="center">Iraq</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">11. Life satisfaction</td>
<td valign="top" align="center">Vietnam</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">12. Training satisfaction</td>
<td valign="top" align="center">Jordan</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.00%</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td/>
<td/>
<td valign="top" align="center">19</td>
<td valign="top" align="center">6</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Med, mediator; Mod, moderator.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Job satisfaction was the most common variable, appearing in 11 studies, and it served as a moderator once in the relationship between talent management practices and VTI (<xref ref-type="bibr" rid="B16">Barkhuizen and Gumede, 2021</xref>). Job satisfaction appeared as a full mediator in three studies in the relationship with VTI and the following variables: principal support, organizational learning culture, and person-organization fit (<xref ref-type="bibr" rid="B81">Liu et al., 2010</xref>; <xref ref-type="bibr" rid="B80">Lin et al., 2022</xref>; <xref ref-type="bibr" rid="B7">Al-Mahdy and Alazmi, 2023</xref>).</p>
<p>Job satisfaction appeared as a partial mediator in 6 studies in the relationship with VTI and the following variables: quality of work life, perceived organizational fit, pay equity, empowerment, public service motivation, strategic human capital management, and burnout (<xref ref-type="bibr" rid="B70">Kim and Fernandez, 2017</xref>; <xref ref-type="bibr" rid="B64">Jabeen et al., 2018</xref>; <xref ref-type="bibr" rid="B65">Jin et al., 2018</xref>; <xref ref-type="bibr" rid="B82">Liu et al., 2023</xref>; <xref ref-type="bibr" rid="B142">Zhang et al., 2023</xref>; <xref ref-type="bibr" rid="B135">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="B136">Wesemann, 2024</xref>).</p>
<p>Most studies used four items to measure the construct, with five-point Likert-type scales (1 = strongly disagree to 5 = strongly agree). All studies were cross-sectional, and 45.45% used convenience samples (73% of which involved public servants working in multiple fields). Each study either used a different scale or created a specific measure to assess job satisfaction.</p>
<p>The second most studied variable in the first category is public service motivation, assessed as a moderator in Asian countries (China and South Korea). Public service motivation weakens the strength of the relationship between VTI and the following variables: occupational stress (challenge and hindrance stressors), perceived over qualification, emphasis on efficiency, and job demands (<xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>; <xref ref-type="bibr" rid="B126">Shim et al., 2017</xref>; <xref ref-type="bibr" rid="B14">Bao and Zhong, 2021</xref>, <xref ref-type="bibr" rid="B15">2023</xref>). Scales developed by two authors were featured in an equal number of studies (<xref ref-type="bibr" rid="B106">Perry, 1996</xref>, <xref ref-type="bibr" rid="B107">1997</xref>; <xref ref-type="bibr" rid="B139">Wright et al., 2013</xref>). The samples had a minimum of 300 participants and a maximum of 979.</p>
<p>The remaining variables appear only once. Intrinsic motivation appeared as a full mediator in the relationship between ethical leadership and VTI in a study in Iraq (<xref ref-type="bibr" rid="B124">Shareef and Atan, 2019</xref>). The following variables acted as partial mediators: (a) negative affect (<xref ref-type="bibr" rid="B15">Bao and Zhong, 2023</xref>); (b) self-efficacy (<xref ref-type="bibr" rid="B28">Caillier, 2016b</xref>); (c) change-oriented organizational citizenship behavior (<xref ref-type="bibr" rid="B29">Campbell and Im, 2016</xref>); (d) followership behavior (<xref ref-type="bibr" rid="B65">Jin et al., 2018</xref>); (e) career commitment (<xref ref-type="bibr" rid="B78">Li and Xie, 2022</xref>); (f) loyalty (<xref ref-type="bibr" rid="B4">Albtoosh et al., 2022</xref>); (g) life satisfaction (<xref ref-type="bibr" rid="B99">Nguyen T. D. et al., 2023</xref>); and (h) training satisfaction (<xref ref-type="bibr" rid="B4">Albtoosh et al., 2022</xref>). Workplace incivility appears as the only moderator in a cross-sectional study in Indonesia (<xref ref-type="bibr" rid="B138">Wirawan et al., 2023</xref>).</p>
<p>The second grouping with the largest number of variables represents a dynamic interaction between the individual and the context in which they are embedded within the organization, as presented in <xref ref-type="table" rid="T2">Table 2</xref>. This category was termed person-organizational context fit (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>). Person-organization fit was the most researched variable in the second category, with three studies.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Person-organizational context fit.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Study (country)</td>
<td valign="top" align="center">Field of work</td>
<td valign="top" align="center">Med</td>
<td valign="top" align="center">Mod</td>
<td valign="top" align="center">Category %</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3">1. Person-organization fit</td>
<td valign="top" align="center" rowspan="2">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Pakistan</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">2. Distributive justice</td>
<td valign="top" align="center">Republic of Korea</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Indonesia</td>
<td valign="top" align="center">Inspection/regulation</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">3. Procedural justice</td>
<td valign="top" align="center">Republic of Korea</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11%</td>
</tr>
<tr>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">4. Organizational identification</td>
<td valign="top" align="center">Australia</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">11.11%</td>
</tr>
<tr>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Not described</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">5. Ethical leadership</td>
<td valign="top" align="center">Vietnam</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">6. Leader-member exchange</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">7. Off-the-job embeddedness</td>
<td valign="top" align="center">United Arab Emirates</td>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">8. Organizational trust</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">9. Perceived competence mobilization</td>
<td valign="top" align="center">Norway</td>
<td valign="top" align="center">Public safety</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">10. Servant leadership</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">11. Trust in supervisor</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.56%</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td/>
<td/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">11</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Med, mediator; Mod, moderator.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In the first study, person-organization fit appeared as a moderator in the relationship between VTI and abusive supervision (<xref ref-type="bibr" rid="B100">Nguyen N. T. H. et al., 2023</xref>). In two studies, person-organization fit acted as a full mediator in relationships between VTI and public service motivation, and work-life balance practices (<xref ref-type="bibr" rid="B23">Bright, 2008</xref>; <xref ref-type="bibr" rid="B67">Kakar et al., 2019</xref>). All studies were cross-sectional, and most used convenience samples.</p>
<p>The variable distributive justice appeared in three studies: the first as a partial mediator (<xref ref-type="bibr" rid="B130">Supi et al., 2023</xref>) and in two others as a moderator (<xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>; <xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>). Procedural justice appeared as a moderating variable on two occasions (<xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>; <xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>).</p>
<p>These justice aspects were assessed simultaneously in a longitudinal study by <xref ref-type="bibr" rid="B34">Chordiya (2022a)</xref> with large American samples, using the Federal Employee Viewpoint Survey (FEVS), which in some years recorded over 600,000 responses. Another variable with two studies was organizational identification, which showed partial mediation with Chinese public servants (<xref ref-type="bibr" rid="B14">Bao and Zhong, 2021</xref>) and a moderating effect with Australian public servants (<xref ref-type="bibr" rid="B20">Boon et al., 2021</xref>).</p>
<p>The remaining variables each feature in only one study. Moderating effects were found for the following variables: (a) organizational trust (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>); (b) trust in supervisor (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>); (c) off-the-job embeddedness (<xref ref-type="bibr" rid="B63">Hussain and Deery, 2018</xref>); (d) ethical leadership (<xref ref-type="bibr" rid="B99">Nguyen T. D. et al., 2023</xref>); and (e) servant leadership (<xref ref-type="bibr" rid="B78">Li and Xie, 2022</xref>). Partial mediation was found for perceived competence mobilization (<xref ref-type="bibr" rid="B72">Lai and Kapstad, 2009</xref>). Leader-member exchange appears in the same study as a full mediator between information sharing and VTI, and with a partial mediating effect between recognition and VTI (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>).</p>
<p>The third grouping of variables is related to the work environment, as shown in <xref ref-type="table" rid="T3">Table 3</xref>, and is termed organizational context (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>). The variable perceived organizational support (POS) appears in three studies: first, as a full mediator (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>), and twice as a partial mediator (<xref ref-type="bibr" rid="B82">Liu et al., 2023</xref>; <xref ref-type="bibr" rid="B130">Supi et al., 2023</xref>). The studies were conducted in Eastern countries, and one author&#x2019;s scale was the most used (<xref ref-type="bibr" rid="B44">Eisenberger et al., 1986</xref>), even with variations in the number of items included (from 6 to 8). All studies were cross-sectional and ranged from 204 to 2,079 respondents.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Organizational context.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Study (country)</td>
<td valign="top" align="center">Field of work</td>
<td valign="top" align="center">Med</td>
<td valign="top" align="center">Mod</td>
<td valign="top" align="center">Category %</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3">1. Perceived organizational support (POS)</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">25.00%</td>
</tr>
<tr>
<td valign="top" align="center">Indonesia</td>
<td valign="top" align="center">Inspection/Regulation</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">2. Perceived supervisor support</td>
<td valign="top" align="center">Norway</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">3. Agency type</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Agencies</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">4. Collaborative culture</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">5. Goal clarity</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">6. Mission valence</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Agencies</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">7. Organizational climate for innovation</td>
<td valign="top" align="center">Republic of Korea</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">8. Turnover system type</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">9. Perceived organizational prestige</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">8.33%</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td/>
<td/>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Med, mediator; Mod, moderator.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In the third grouping, the second variable with the highest number of studies is supervisor support, which appears as a moderator in cross-sectional studies, in the relationship between VTI and perceived job autonomy and work-family conflict (<xref ref-type="bibr" rid="B43">Dysvik and Kuvaas, 2013</xref>; <xref ref-type="bibr" rid="B141">Yucel et al., 2023</xref>). The remaining variables in this set appear only once. Organizational climate for innovation appears as a moderator in the relationship between emphasis on efficiency and VTI (<xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>). Also acting as a moderator is agency type in the relationship between being an employee identified as LGBT (lesbian, gay, bisexual, and transgender) and VTI (<xref ref-type="bibr" rid="B116">Sabharwal et al., 2019</xref>).</p>
<p>Full mediation occurred with goal clarity (<xref ref-type="bibr" rid="B28">Caillier, 2016b</xref>) and perceived organizational prestige (<xref ref-type="bibr" rid="B24">Bright, 2021</xref>). The following variables were found as partial mediators: collaborative culture (<xref ref-type="bibr" rid="B129">Sun and Wang, 2017</xref>); turnover system type (<xref ref-type="bibr" rid="B128">Strolin-Goltzman et al., 2008</xref>); and mission valence (<xref ref-type="bibr" rid="B27">Caillier, 2016a</xref>). Commonly, these studies were cross-sectional, with random samples of over 500 American public servants.</p>
<p>Included in the fourth grouping, as shown in <xref ref-type="table" rid="T4">Table 4</xref>, are variables that address certain aspects of work or the environment with effects on the mental, emotional, and/or physical health of public servants, creating positive or negative impacts. This grouping was termed work-related personal conditions (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Work-related personal conditions.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Study (country)</td>
<td valign="top" align="center">Field of work</td>
<td valign="top" align="center">Med</td>
<td valign="top" align="center">Mod</td>
<td valign="top" align="center">Category %</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4">1. Work engagement</td>
<td valign="top" align="center">Ethiopia</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">38.46%</td>
</tr>
<tr>
<td valign="top" align="center">Gana</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Nig&#x00E9;ria</td>
<td valign="top" align="center">Education</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">2. Burnout</td>
<td valign="top" align="center">Pakistan</td>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">30.77%</td>
</tr>
<tr>
<td valign="top" align="center">Republic of Korea</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Inspection/regulation</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">3. Job insecurity</td>
<td valign="top" align="center">Indonesia</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">15.38%</td>
</tr>
<tr>
<td valign="top" align="left">4. Occupational stress</td>
<td valign="top" align="center">Pakistan</td>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7.69%</td>
</tr>
<tr>
<td valign="top" align="left">5. Psychological distress</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">7.69%</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td/>
<td/>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Med, mediator; Mod, moderator.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The most researched variable in the fourth grouping was work engagement, with five studies. In the first, it appears as a moderator in the relationship between the psychological impact of the COVID-19 pandemic and VTI (<xref ref-type="bibr" rid="B102">Obuobisa-Darko and Sokro, 2023</xref>). Work engagement appeared as a partial mediator in the remaining studies, in the relationship between VTI and the following variables, respectively: POS, transformational leadership, human resource management practices, and work-family conflict (<xref ref-type="bibr" rid="B50">Gadi and Kee, 2020</xref>; <xref ref-type="bibr" rid="B17">Bas and &#x00C7;&#x0131;nar, 2021</xref>; <xref ref-type="bibr" rid="B41">Diko and Saxena, 2023</xref>; <xref ref-type="bibr" rid="B141">Yucel et al., 2023</xref>). Three studies were from African countries, and the most common scale was the 9-item scale by <xref ref-type="bibr" rid="B121">Schaufeli et al. (2006)</xref>, a five-point Likert-type scale (<xref ref-type="bibr" rid="B120">Schaufeli and Bakker, 2004</xref>; <xref ref-type="bibr" rid="B121">Schaufeli et al., 2006</xref>). The most frequent sample sizes ranged between 301&#x2013;400 and 401&#x2013;500 public servants.</p>
<p>Burnout (exhaustion) was found four times in this grouping, always as a partial mediator, in Eastern countries (<xref ref-type="bibr" rid="B69">Kim, 2015</xref>; <xref ref-type="bibr" rid="B126">Shim et al., 2017</xref>; <xref ref-type="bibr" rid="B117">Samad et al., 2021</xref>; <xref ref-type="bibr" rid="B8">Aman-Ullah et al., 2023</xref>). Half of the studies were in the health sector, with samples between 200 and 300 public servants, with a preference for using items from the Maslach Burnout Inventory, employing seven-point Likert-type scales (<xref ref-type="bibr" rid="B87">Maslach and Jackson, 1981</xref>; <xref ref-type="bibr" rid="B88">Maslach et al., 2001</xref>). Burnout mediated the relationships between VTI and: intrinsic motivation (<xref ref-type="bibr" rid="B69">Kim, 2015</xref>), job demands (<xref ref-type="bibr" rid="B126">Shim et al., 2017</xref>), and workplace incivility (<xref ref-type="bibr" rid="B117">Samad et al., 2021</xref>; <xref ref-type="bibr" rid="B8">Aman-Ullah et al., 2023</xref>).</p>
<p>In third place in the fourth grouping is job insecurity, with two studies as a partial mediator in Eastern countries. Both studies had a cross-sectional design and used convenience samples of between 201 and 300 public servants. Job insecurity mediated the relationship between VTI and fear of COVID-19, and citizen incivility, respectively (<xref ref-type="bibr" rid="B68">Kakar et al., 2023</xref>; <xref ref-type="bibr" rid="B138">Wirawan et al., 2023</xref>). The other variables each have a single study. Psychological distress was a partial mediator of the relationship between VTI and abusive supervision (<xref ref-type="bibr" rid="B100">Nguyen N. T. H. et al., 2023</xref>). Occupational stress was a partial mediator of the relationship between VTI and workplace incivility (<xref ref-type="bibr" rid="B117">Samad et al., 2021</xref>).</p>
<p>The fifth category includes variables related to how organizations manage their public servants, as shown in <xref ref-type="table" rid="T5">Table 5</xref>, termed human resource management practices (<xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>). Each variable features in a single study and acts as a moderator (<xref ref-type="bibr" rid="B116">Sabharwal et al., 2019</xref>; <xref ref-type="bibr" rid="B97">Mullins et al., 2021</xref>; <xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>,<xref ref-type="bibr" rid="B35">b</xref>; <xref ref-type="bibr" rid="B140">Xu et al., 2023</xref>; <xref ref-type="bibr" rid="B135">Wang et al., 2024</xref>). Commonly, all studies assessed more than 500 public servants. Three studies used census data from American (FEVS) and Canadian Public Service Employee Survey public servants. One of the studies was longitudinal (<xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>). For all these variables, the moderation hypotheses were corroborated, attenuating VTI.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Human resource management practices.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="center">Variables</td>
<td valign="top" align="center">Study (country)</td>
<td valign="top" align="center">Field of work</td>
<td valign="top" align="center">Mod</td>
<td valign="top" align="center">Category %</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">1. Benefits package</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Health</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">2. Career growth opportunities</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">3. Flexible work arrangements</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">4. Inclusion quotient</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Agencies</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">5. Inclusive organizational practices</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">6. Pro-diversity management</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Multiple areas</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16.67%</td>
</tr>
<tr>
<td valign="top" align="center">Total</td>
<td/>
<td/>
<td valign="top" align="center">6</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Med &#x2013; Mediator; Mod -Moderator.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The smallest grouping was presented in <xref ref-type="table" rid="T6">Table 6</xref>, termed demographics (<xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>; <xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>). Belonging to the Millennial generation was included here because the cutoff was based on an age limit of 29 years. Three studies were conducted in which the variables acted as moderators (<xref ref-type="bibr" rid="B110">Pitts et al., 2011</xref>; <xref ref-type="bibr" rid="B45">Ertas, 2015</xref>; <xref ref-type="bibr" rid="B123">Senapaty and Venugopal, 2023</xref>).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Demographics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">Study (country)</td>
<td valign="top" align="center">Field of work</td>
<td valign="top" align="center">Mod</td>
<td valign="top" align="center">Category %</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">1. Age</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">66.67%</td>
</tr>
<tr>
<td valign="top" align="center">India</td>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">2. Millennial status</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Agencies</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">33.33%</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center" colspan="4">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Med &#x2013; Mediator; Mod -Moderator.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A compilation of the main moderating and mediating variables, with their respective scales, measurement methods, and study and sample characteristics, can be found in <xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix A</xref>, ordered by the frequency with which they appeared in the included studies. <xref ref-type="fig" rid="F4">Figure 4</xref> presents a compilation of the key variables by type identified in the studies from this review.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Key variables by type.</p></caption>
<alt-text>&#x201C;A treemap visualization showing various variables related to mediators and moderators, including job satisfaction, work engagement, burnout, public service motivation, distributive justice, perceived organizational support, person-organization fit, age, job insecurity, organizational identification, perceived supervisor support, and procedural justice. Each factor occupies a differently sized rectangle, indicating its significance or proportion.&#x201D;</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1631551-g004.tif"/>
</fig>
</sec>
<sec id="S4" sec-type="discussion">
<title>4 Discussion</title>
<p>This scoping review identified the main mediating and moderating variables, along with their respective instruments and samples, in studies on VTI among public servants working in the executive branch over the last 20 years. The findings provide a comprehensive overview based on the inclusion of 51 articles. There was an inclusion of studies from developing and Asian countries, such as China, the United Arab Emirates, Indonesia, and three African countries (Egypt, Ghana, and Nigeria). Unfortunately, studies conducted with Latin American populations were not included in this review. However, the reality in developing countries, particularly in Africa, is likely to approximate a cultural context similar to that of Brazil&#x2019;s public service.</p>
<p>The growing number of studies over the years reinforces the increasing concern within public service regarding VTI. Research models are complex and seek to identify how various variables act collectively to influence cognitions about leaving. Only five variables were assessed as both moderators and mediators: person-organization fit, work engagement, organizational identification, distributive justice, and job satisfaction. This reinforces <xref ref-type="bibr" rid="B56">Hayes (2018)</xref> assertion that everything depends on how the variable is conceptualized, investigated, and operationalized.</p>
<p>Seven variables identified in the studies included in this review acted as full mediators of other relationships. These variables were: person-organization fit, goal clarity, intrinsic motivation, organizational prestige, leader-member exchange, job satisfaction, and organizational support. These seven variables caused the direct relationship to cease to exist, occurring only through the mediating variable (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>).</p>
<p>This raises the question of whether this effect might also occur in organizational contexts different from those of the original studies. The hypothesis of a moderated mediation effect&#x2014;in which a third, as-yet-unidentified variable moderates the mediator&#x2014;cannot be dismissed (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>). Similarly, another mediation effect may have occurred. Therefore, testing multiple mediation and moderation pathways within the same model opens new avenues of analysis in the pursuit of more accurate and robust effects (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>).</p>
<p>The findings of this scoping review indicate that variables found in the dual role of mediator or moderator can be explored to add explanatory variance regarding the effects on VTI. Examples of this role plasticity are evident in variables such as person-organization fit, job satisfaction, work engagement, distributive justice, job insecurity, and age. However, this can only be definitively validated by employing a longitudinal design that involves collecting multiple measures of the same variables with the same scale over time (<xref ref-type="bibr" rid="B1">Abbad and Carlotto, 2016</xref>).</p>
<p>The motivation, attitudes, and work-related behaviors category (<xref ref-type="table" rid="T1">Table 1</xref>) includes the variables job satisfaction, intrinsic motivation and public service motivation. Job satisfaction remains the most studied variable, primarily because early theories only linked this dichotomy to job dissatisfaction (<xref ref-type="bibr" rid="B93">Mobley et al., 1978</xref>; <xref ref-type="bibr" rid="B86">March and Simon, 1979</xref>). Classical models measure satisfaction as having a direct relationship with VTI and turnover, as if it were a pure cause-and-effect relationship&#x2014;in other words, that a dissatisfied public employee will leave the organization.</p>
<p>Job satisfaction is viewed as the sum of an individual&#x2019;s expectations regarding their work (<xref ref-type="bibr" rid="B112">Porter and Steers, 1973</xref>; <xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>). Studies have predominantly investigated its mediating role, i.e., its interference in direct relationships. The research in this review shows that job satisfaction is predominantly investigated for its mediating role&#x2014;that is, its influence on direct relationships. In three studies, this variable was a full mediator in the relationships between VTI and: principal support, organizational learning culture, and person-organization fit (<xref ref-type="bibr" rid="B81">Liu et al., 2010</xref>; <xref ref-type="bibr" rid="B80">Lin et al., 2022</xref>; <xref ref-type="bibr" rid="B7">Al-Mahdy and Alazmi, 2023</xref>). In these studies, direct relationships disappeared in the presence of job satisfaction. In a study in South Africa, job satisfaction weakened the strength of the relationship between talent management practices and VTI (<xref ref-type="bibr" rid="B16">Barkhuizen and Gumede, 2021</xref>). This underscores that precisely operationalizing the variable, by tailoring it to the specific context where the assessment of VTI is required, yields more accurate results.</p>
<p>Intrinsic motivation results from an individual&#x2019;s positive reaction to work and deals with performing an activity for the satisfactions and interest in the task itself (<xref ref-type="bibr" rid="B39">Deci et al., 2017</xref>). This variable fully mediated the direct relationship between ethical leadership and VTI in a study in Iraq (<xref ref-type="bibr" rid="B124">Shareef and Atan, 2019</xref>). Public service motivation appears to be an important variable for Asian and collectivist cultures. Public service motivation is conceptualized as an individual&#x2019;s response to motives grounded in the public interest, a characteristic of public organizations (<xref ref-type="bibr" rid="B106">Perry, 1996</xref>; <xref ref-type="bibr" rid="B108">Perry et al., 2010</xref>). This variable has been investigated as a moderator that consistently weakens VTI. This variable moderated the relationship between VTI and: occupational stress, perceived overqualification, emphasis on efficiency, and work demands (<xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>; <xref ref-type="bibr" rid="B126">Shim et al., 2017</xref>; <xref ref-type="bibr" rid="B14">Bao and Zhong, 2021</xref>, <xref ref-type="bibr" rid="B15">2023</xref>).</p>
<p>In Brazil, the concept of vocation in public service has been discussed, characterized by an orientation toward collective action, the prioritization of democratic values in decision-making, a commitment to equal rights, and the assurance of transparency (<xref ref-type="bibr" rid="B37">Coelho and Menon, 2018</xref>; <xref ref-type="bibr" rid="B9">Ara&#x00FA;jo et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Gomide et al., 2023</xref>). Both intrinsic motivation and public service motivation can be utilized in empirical research to assess this vocation and the retention of public servants.</p>
<p>The following variables are part of the person-organizational context fit grouping (<xref ref-type="table" rid="T2">Table 2</xref>): person-organization fit, organizational identification, distributive justice, and leader-member exchange. Person-organization fit deals with the congruence between the individual and the organization in which they work (<xref ref-type="bibr" rid="B71">Kristof-Brown et al., 2005</xref>; <xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>). This variable appears as a moderator (<xref ref-type="bibr" rid="B100">Nguyen N. T. H. et al., 2023</xref>) and as a full mediator in two separate instances. These studies were conducted in countries with very different contexts&#x2014;the USA and Pakistan&#x2014;and analyzed very distinct fields, such as health and education (<xref ref-type="bibr" rid="B23">Bright, 2008</xref>; <xref ref-type="bibr" rid="B67">Kakar et al., 2019</xref>).</p>
<p>Organizational identification was a moderator in the relationship between VTI and organizational change (<xref ref-type="bibr" rid="B20">Boon et al., 2021</xref>). This variable acted as a partial mediator in the relationship between VTI and organizational stressors, with Chinese public servants (<xref ref-type="bibr" rid="B14">Bao and Zhong, 2021</xref>). Organizational identification deals with the degree to which public servants internalize the norms, values, and interests of the organization (<xref ref-type="bibr" rid="B12">Ashforth and Mael, 1989</xref>; <xref ref-type="bibr" rid="B114">Riketta, 2005</xref>).</p>
<p>Distributive justice deals with individuals&#x2019; perceptions of the outcomes or allocations received in relation to the work performed (<xref ref-type="bibr" rid="B49">Folger and Cropanzano, 2001</xref>; <xref ref-type="bibr" rid="B38">Colquitt, 2012</xref>). This variable appeared as a partial mediator of the relationship between talent management practices and VTI (<xref ref-type="bibr" rid="B130">Supi et al., 2023</xref>). Distributive justice was tested as a moderator in two studies (<xref ref-type="bibr" rid="B30">Campbell et al., 2014</xref>; <xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>). <xref ref-type="bibr" rid="B34">Chordiya&#x2019;s (2022a)</xref> study showed that distributive justice weakened the strength of VTI for public servants who identified as non-white.</p>
<p>There is limited research in the public sector on how racial differences may influence VTI. No studies addressing this topic were found for Asian, African, or Latin American countries. In Brazil, for instance, discrimination is often subtle, masked by the discourse of racial mixing (<xref ref-type="bibr" rid="B89">Matos, 2018</xref>; <xref ref-type="bibr" rid="B118">Santos and Sales, 2018</xref>). Replications of <xref ref-type="bibr" rid="B34">Chordiya&#x2019;s (2022a)</xref> study in Asian, African, and Latin American countries could help reveal these differences and determine the importance of distributive justice.</p>
<p>The relationship between information sharing and VTI was also fully suppressed by the presence of leader-member exchange (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>). Leader-member exchange refers to the vertical relationship between a leader and the members of a work team (<xref ref-type="bibr" rid="B52">Graen and Uhl-Bien, 1995</xref>). Research has linked high-quality leader-member relationships to the emergence of innovative behavior (<xref ref-type="bibr" rid="B98">Ng, 2017</xref>), suggesting that environments that foster innovation and creativity might mitigate VTI.</p>
<p>Full mediating effects were found for goal clarity (<xref ref-type="bibr" rid="B28">Caillier, 2016b</xref>), organizational prestige (<xref ref-type="bibr" rid="B24">Bright, 2021</xref>), and POS (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>), variables from the organizational context grouping (<xref ref-type="table" rid="T3">Table 3</xref>). The relationship between VTI and transformational leadership ceased to exist in the presence of goal clarity in research conducted in the USA (<xref ref-type="bibr" rid="B28">Caillier, 2016b</xref>). Goal clarity refers to the extent to which objectives and goals are clearly defined for employees (<xref ref-type="bibr" rid="B119">Sawyer, 1992</xref>). Also in a U.S. study, the relationship between public service motivation and VTI occurred only through the full mediation of perceived organizational prestige (<xref ref-type="bibr" rid="B24">Bright, 2021</xref>). Perceived organizational prestige is employees&#x2019; belief about how their organization is viewed by others (<xref ref-type="bibr" rid="B84">Mael and Ashforth, 1992</xref>).</p>
<p>Perceived organizational support fully mediated the relationship between participation in decision-making, shared information, and fair rewards, and VTI (<xref ref-type="bibr" rid="B46">Ert&#x00FC;rk, 2014</xref>). POS seeks to assess public servants&#x2019; beliefs about the extent to which the organization values their contributions and cares about their wellbeing (<xref ref-type="bibr" rid="B44">Eisenberger et al., 1986</xref>). Public service in countries such as Pakistan and Brazil is often plagued by allegations of corruption (<xref ref-type="bibr" rid="B25">Bueno et al., 2016</xref>; <xref ref-type="bibr" rid="B11">Arslan, 2018</xref>). The general public frequently associates the corruption found within a specific agency with the civil servants who work there, leading to a lower perceived prestige that may, in turn, increase VTI. Furthermore, such allegations obscure organizational objectives, as corruption hinders the achievement of planned goals. Research examining goal clarity, organizational prestige, and POS as mediators can help explore the broader organizational context in which VTI is embedded.</p>
<p>Work engagement appears in the personal conditions resulting from work category (<xref ref-type="table" rid="T4">Table 4</xref>). This variable refers to the level of involvement, commitment, and energy that public servants invest in the organization (<xref ref-type="bibr" rid="B120">Schaufeli and Bakker, 2004</xref>). In the study by <xref ref-type="bibr" rid="B102">Obuobisa-Darko and Sokro (2023)</xref>, work engagement had a negative moderating effect, minimizing the positive effect of the psychological impact of the COVID-19 pandemic on VTI. In turn, the relationship between work-family conflict and VTI was partially mediated by work engagement in the study by <xref ref-type="bibr" rid="B141">Yucel et al. (2023)</xref>. Both studies were conducted in healthcare contexts, the first in an African country, Ghana, and the other in an Asian country, Turkey. Both studies based their assumptions on the Job Demands-Resources theory (<xref ref-type="bibr" rid="B40">Demerouti et al., 2001</xref>).</p>
<p>The human resource management practices grouping (<xref ref-type="table" rid="T5">Table 5</xref>) shows no repetition of any variable. The studies analyzed variables linked to the most current discussions related to inclusion, diversity, and flexible work arrangements. Pro-diversity management positively moderated the relationship between racial identity and VTI (<xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>). One study analyzed the moderating effects of agency type and inclusive practices on the relationship between belonging to the lesbian, gay, bisexual, and transgender (LGBT) public servant population and VTI. The moderating effect was observed when fair inclusive practices were perceived and also when agency types were redistributive (female-dominated) or regulatory (<xref ref-type="bibr" rid="B116">Sabharwal et al., 2019</xref>).</p>
<p>Flexible work arrangements mitigated the effects of the relationship between family responsibility discrimination and VTI in Canadian public servants. Mitigating effects were found for compressed workweeks, while no differences were observed for those engaged in telework or utilizing flextime (<xref ref-type="bibr" rid="B97">Mullins et al., 2021</xref>). Considering that these more flexible work arrangements were widely adopted during the COVID-19 pandemic and have been maintained in many organizations even after the abatement of the health crisis, further investigation into these moderating effects in other countries and cultural contexts is important (<xref ref-type="bibr" rid="B83">Lucas and Santos, 2021</xref>; <xref ref-type="bibr" rid="B103">Oliveira and Pantoja, 2021</xref>; <xref ref-type="bibr" rid="B133">Vilarinho et al., 2021</xref>; <xref ref-type="bibr" rid="B32">Carvalho et al., 2023</xref>).</p>
<p>Studies on inclusion, diversity, and flexible work arrangements have been conducted since 2021, following the pandemic period. Diverse and inclusive environments are hallmarks of human rights in the public sector, embedded in the concept of equality, a principle present in the constitutions of democratic countries such as Brazil and Chile (<xref ref-type="bibr" rid="B19">Bittencourt Friedrich and Gesta Leal, 2015</xref>; <xref ref-type="bibr" rid="B26">Bugue&#x00F1;o, 2017</xref>). There is still very little research on VTI in these specific minority populations, people with disabilities, indigenous and LGBT (<xref ref-type="bibr" rid="B116">Sabharwal et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Chordiya, 2022a</xref>,<xref ref-type="bibr" rid="B35">b</xref>). In Brazil, inequalities in both gender and race within the federal public service are under discussion (<xref ref-type="bibr" rid="B48">Faria, 2016</xref>; <xref ref-type="bibr" rid="B5">Alencar, 2021</xref>; <xref ref-type="bibr" rid="B105">Penha and Pican&#x00E7;o, 2022</xref>).</p>
<p>The Covid-19 pandemic led to the abrupt implementation of remote work worldwide. In the case of public servants, the work is performed outside their organization&#x2019;s premises through the use of technological tools. Even today, remote work remains in place in many areas of the federal public service (<xref ref-type="bibr" rid="B83">Lucas and Santos, 2021</xref>; <xref ref-type="bibr" rid="B103">Oliveira and Pantoja, 2021</xref>). No studies analyzing the relationship between voluntary turnover intention (VTI) and remote work in Brazil have been found.</p>
<p>Regarding demographic characteristics (<xref ref-type="table" rid="T6">Table 6</xref>), a study comparing work motivation variables with VTI found that belonging to the millennial generation moderated the relationship only for the variables of creativity and job satisfaction, which proved more significant for millennials than for the older generation (<xref ref-type="bibr" rid="B45">Ertas, 2015</xref>). The interaction between age and career opportunities attenuated turnover intention (IVR) for older workers (<xref ref-type="bibr" rid="B110">Pitts et al., 2011</xref>). Employees with greater autonomy experienced a greater reduction in VTI than their younger counterparts (<xref ref-type="bibr" rid="B123">Senapaty and Venugopal, 2023</xref>). Regarding the results, younger public servants showed a higher probability of VTI in all studies.</p>
<p>Brazil is facing an aging public service workforce within its federal executive branch, where the current average age is 47 (<xref ref-type="bibr" rid="B21">Brasil, 2023</xref>). This trend mirrors the broader demographic shift in the country, as the elderly population increased from 8 million in 1980 to 30 million in 2020 (<xref ref-type="bibr" rid="B2">Adamczyk, 2021</xref>). Consequently, a 2024 civil service examination aimed to fill vacant positions by hiring individuals in their 30&#x2019;s (<xref ref-type="bibr" rid="B22">Brasil, 2025</xref>). The same work environment will be composed of civil servants from different generations: Generation X (born 1965&#x2013;1980), Generation Y or Millennials (born 1981&#x2013;1996), and Generation Z (born after 1997). Some studies have found support for generational differences based on individuals&#x2019; distinct and shared social experiences (<xref ref-type="bibr" rid="B137">Wey Smola and Sutton, 2002</xref>; <xref ref-type="bibr" rid="B104">Parry and Urwin, 2011</xref>; <xref ref-type="bibr" rid="B113">Rani and Samuel, 2016</xref>). Given that current work environments involve different generations coexisting and working together, analyzing the effects of age (generational cohort) on VTI in other organizational contexts and countries could be insightful.</p>
<p>In the meta-analysis by <xref ref-type="bibr" rid="B62">Hur and Abner (2024)</xref>, which focuses on the public sector, the following appear as antecedents: (a) with a high effect size: job satisfaction, and (b) with a moderate effect size: intrinsic motivation. The meta-analysis by <xref ref-type="bibr" rid="B115">Rubenstein et al. (2018)</xref> identifies the following antecedents: (a) with a moderate effect size: person-organization fit and job satisfaction; (b) with a weak effect size: work engagement, justice (aggregating all subtypes), organizational prestige, and organizational support.</p>
<p>The different mediators and moderators presented in this review demonstrate that the public sector is increasingly adopting more complex analyses, moving beyond simple cause-and-effect relationships between an antecedent or predictor variable and the variable of interest. The pathway of VTI and turnover involves models with multiple mediators and moderators, including moderated mediation or mediated moderation analyses, employing more sophisticated statistical methods such as path analysis or structural equation modeling (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>; <xref ref-type="bibr" rid="B55">Hair et al., 2019</xref>).</p>
</sec>
<sec id="S5">
<title>5 Limitations and future research</title>
<p>The primary limitation of this research pertains to the number of databases investigated; therefore, other articles may exist that were not included in the present analysis. However, it is assumed that the databases utilized encompass the majority of relevant indexed publications. The adopted search strategy made it possible to include a broader range of Asian and developing countries, which were absent in other studies. Future studies could focus, for example, on literature from Central and South America, from which, despite efforts, no studies were included in this review.</p>
<p>Another limitation is the heterogeneous nature of the variables identified, which precludes more advanced quantitative analysis through methods such as statistical clustering. For instance, the variable &#x201C;satisfaction,&#x201D; present in 11 studies, was measured using different methods in each. The non-comparability of scales, measurement methods, and sample selection procedures complicates a quantitative approach to the findings, which could have aided in their interpretation. Nevertheless, our data synthesis focused on aggregation into six distinct categories, aiming to provide an overview, particularly of the variables that most frequently appear in research as mediators and moderators, an aspect not presented in previous reviews.</p>
<p>Existing studies are scarce and largely limited to the analysis of direct relationships, often overlooking complex scenarios where multiple variables are measured to assess their effects on VTI and turnover. This research gap has been specifically identified in the Brazilian context by two recent literature reviews (<xref ref-type="bibr" rid="B18">Beria et al., 2018</xref>; <xref ref-type="bibr" rid="B122">Seidl et al., 2019</xref>). The use of path analysis and structural equation modeling to evaluate sequential or hierarchical mediations, combined with the influence of moderators, should be employed to determine the true effects of variables on the outcome variable (VTI) and turnover (<xref ref-type="bibr" rid="B56">Hayes, 2018</xref>; <xref ref-type="bibr" rid="B55">Hair et al., 2019</xref>).</p>
<p>Future studies should aim to include moderating variables related to inclusion, diversity, and flexible work arrangements, discussions of which are highly prevalent in discourse concerning the post-pandemic work environment. Future research could primarily incorporate variables that demonstrated total mediating effects, such as goal clarity, intrinsic motivation, organizational prestige, job satisfaction, leader-member exchange, POS, and person-organization fit, due to their effect of negating a direct relationship with VTI.</p>
<p>Future studies also need to consider longitudinal assessments using these variables to effectively evaluate over time how this process leading to VTI and turnover unfolds. The number of studies that employed such a design was negligible. Future research should seek to assess specific mediators and moderators using validated scales, applying them in different contexts with time-lagged measurements to evaluate, through a longitudinal panel, whether such characteristics persist over time.</p>
</sec>
<sec id="S6" sec-type="conclusion">
<title>6 Conclusion</title>
<p>This review contributes to the literature on voluntary turnover intention (VTI) by presenting the main mediators and moderators studied in the public sector. The identified variables can support future research focused on specific subgroups of public servants and on better-defined strategies for diagnosing and monitoring VTI. Fifteen studies included only moderating variables, 26 studies assessed mediating relationships, and 10 assessed both, addressing gaps highlighted in two previous reviews (<xref ref-type="bibr" rid="B62">Hur and Abner, 2024</xref>; <xref ref-type="bibr" rid="B115">Rubenstein et al., 2018</xref>). These variables were grouped into six different dimensions.</p>
<p>There remains, however, a lack of representation of studies in underdeveloped countries, especially as no eligible studies were found in Central and South America. The significant number of variables identified demonstrates the growing concern with tailoring research and identifying what appears to be most relevant in real-world contexts. Furthermore, a selection of variables was presented that, due to their full mediating effect or their role as moderators, may represent important stages in the pathway leading to VTI.</p>
<p>Human Resources (HR) departments within public sector organizations can leverage the key mediating and moderating variables from this review to periodically assess employee turnover and VTI. For instance, conducting annual assessments would allow them to track the behavior of these variables over time, providing a clear diagnosis of emerging trends. With this diagnosis, these departments can then develop and implement targeted action plans to mitigate the negative influence of specific factors on both turnover and VTI.</p>
</sec>
</body>
<back>
<sec id="S7" sec-type="data-availability">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://osf.io/eb3uf/">https://osf.io/eb3uf/</ext-link>.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AS: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. EN: Formal analysis, Project administration, Supervision, Validation, Writing &#x2013; review &#x0026; editing. DD: Formal analysis, Investigation, Methodology, Validation, Writing &#x2013; review &#x0026; editing. FF: Formal analysis, Investigation, Methodology, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The authors would like to thank the University of Bras&#x00ED;lia and the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES) for covering the publication fee.</p>
</sec>
<ack><p>We thank the University of Bras&#x00ED;lia and the Coordination for the Improvement of Higher Education Personnel (CAPES) for covering the publication fee.</p>
</ack>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="S12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1631551/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1631551/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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