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A Meta‐Analysis of the Relationship between Public Service Motivation and Job Satisfaction
Author(s) -
Homberg Fabian,
McCarthy Dermot,
Tabvuma Vurain
Publication year - 2015
Publication title -
public administration review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.721
H-Index - 139
eISSN - 1540-6210
pISSN - 0033-3352
DOI - 10.1111/puar.12423
Subject(s) - job satisfaction , public service motivation , psychology , job attitude , meta analysis , job analysis , job design , job performance , public service , applied psychology , regression analysis , social psychology , public relations , public sector , political science , medicine , computer science , machine learning , law
In recent years, much research has been conducted on the relationship between public service motivation ( PSM ) and various outcomes, including job satisfaction. This article presents a meta‐analysis aggregating the effects of PSM on job satisfaction. Meta‐regression analysis is used to assess the impact of numerous study characteristics and to identify potential issues of publication bias. The findings, based on 28 separate studies, show no evidence of publication bias and support the positive relationship between PSM and job satisfaction. Furthermore, the results support the importance of providing individuals with the opportunity to serve the public within this relationship. Given the organizational benefits that can be derived from improved job satisfaction and the focus of PSM research on its implications for job satisfaction, these findings are of interest to both academics and practitioners in the field of public administration.