Does public service motivation truly predict dishonesty? Behavioural evidence from the private and public sectors

Carina Schott, Robin Bouwman

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The number of studies on the relationship between public service motivation and ethics is increasing. Although research consistently finds evidence for a positive public service motivation–ethical intentions relationship, research on public service motivation and unethical behaviour remains scarce and showcases mixed findings. Based on insights from person–environment fit theory, we argue that the sector in which an individual is employed may help explain these mixed findings. We test this assumption by employing an incentivized dice game among private and public sector workers (n = 576). Using a well-powered research design we find neither support for the public service motivation–ethical behaviour relationship, nor for the sector as an intervening variable. We discuss the implications of these interesting null findings, which challenge the common assumption that public servants are morally superior to private sector workers. Points for practitioners: (Human resource) managers of both private and public sector organizations need to be aware of the fact that employees engage in behavioural dishonesty (i.e. cheating). Contrary to the often-heard assumption, we find no evidence that public service motivation serves as a buffer for this specific type of unethical behaviour. This means that stimulating public service motivation or recruiting public-service motivated individuals does not help to reduce the risk of behavioural dishonesty. Rather, (human resource) managers can invest in other measures to limit this type of unethical behaviour such as ethical leadership and an ethical climate.

Original languageEnglish
JournalInternational Review of Administrative Sciences
DOIs
Publication statusPublished - 2023

Keywords

  • Public service motivation
  • behavioural dishonesty
  • dice game
  • person–environment fit
  • sectoral differences

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