Evidence map›Paper›PMID 39457733›Full record

ReviewBehavioral sciences (Basel, Switzerland)2024

The Antecedents and Outcomes of Public Service Motivation: A Meta-Analysis Using the Job Demands-Resources Model.

Hanyu Tang, Shiwen An, Luoyi Zhang, Yun Xiao, Xia Li

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hanyu TangSchool of Sociology, Nankai University, Tianjin 300350, China.
Shiwen AnZhou Enlai School of Government, Nankai University, Tianjin 300350, China.
Luoyi ZhangFaculty of Humanities and Social Sciences, City University of Macau, Macao 999078, China.
Yun XiaoGeneral English Department of School of Foreign Studies, Nankai University, Tianjin 300350, China.
Xia LiSchool of Sociology, Nankai University, Tianjin 300350, China.ORCID 0009-0007-3207-9744

Funding

National Natural Science Foundation of China 71602095
6 · The paper itself

Abstract

Understanding what drives public service motivation and its impacts is crucial for improving public sector performance. This meta-analysis synthesized the antecedents and outcomes of public service motivation based on the job demands-resources (JD-R) model. Incorporating 177 studies and 179 independent samples, with a total of 319 effect sizes, the results indicated the following: (1) Job resources and personal resources were positively related to public service motivation, while hindrance demands were negatively related to it. (2) Public service motivation had a positive relationship with overall job attitudes, job satisfaction, organizational commitment, and work engagement. It also had a positive relationship with overall job performance, in-role performance, and extra-role performance. (3) In terms of the antecedents, individualism/collectivism moderated the relationship between job resources and public service motivation, as well as the relationship between hindrance demands and public service motivation. As for the outcomes, individualism/collectivism moderated the relationship between public service motivation and both job attitudes and job performance. This study contributes to a comprehensive understanding of the antecedents and outcomes of public service motivation, offering valuable insights for future research and serving as a reference for theory development and practical application.

Indexed as

JD-R modelmeta-analysispublic service motivation

Identifiers

PMID39457733
PMCPMC11505570

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.