Does public service motivation predict performance in public sector organizations? A longitudinal science mapping study

Roshni Das ()
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Roshni Das: University of Missouri-Kansas City (UMKC)

Management Review Quarterly, 2023, vol. 73, issue 3, No 9, 1237-1271

Abstract: Abstract Whether employees who are motivated by public service are also the ones who are more effective at their job, is a debate which has led to many conflicting findings in the public administration literature. Scholars have delved into many theories of motivation and rewards to address this puzzle and tested their ideas on samples of public sector employees across diverse occupations, sectors and countries. Using a quantitative review methodology such as bibliometrics, this study maps this debate over it’s entirety with a survey of 110 systematically selected papers. Three distinct time periods of conceptual development are observed. Content analysis, keyword co-occurrence network analysis and citation analysis techniques are used. Additionally, a performance analysis is conducted, of the sub-themes within this discourse. Extensive research directions are offered for future scholars in this topic domain.

Keywords: Public service motivation; Performance; Performance analysis; Science mapping; Bibliometrics; Content analysis; Keyword co-occurrence network analysis; Citation analysis; Systematic literature review; H11; H80; M54 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11301-022-00273-w

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