IDEAS home Printed from https://ideas.repec.org/a/taf/rrpaxx/v27y2022i3p228-248.html
   My bibliography  Save this article

Meta-analysis of country-level contextual moderators that impact the link between public service motivation and job satisfaction: evidence from 10 countries

Author

Listed:
  • Roshni Das

Abstract

Public service motivation (PSM) has been found to predict job satisfaction (JS) of government and nonprofit organization employees in many varied industry, job grade, country, and culture contexts. However, the role that culture plays in this link, vis-à-vis the politico-economic context of countries, is not well understood. This meta-analysis looks at a combined sample size of 45,812 individuals, from 10 countries and 32 studies; and attempts to disambiguate the influence of these two moderators. Subgroup analysis and meta-regression techniques are employed to test hypotheses and contribute toward theory building. The study finds Asian countries to have a stronger correlation between PSM and JS, compared to Western countries; while two cultural traits, performance orientation and gender egalitarianism, demonstrate significantly higher strengthening impact in correlation effect sizes in Asia vis-a-vis the West. Future research directions and limitations are discussed.

Suggested Citation

  • Roshni Das, 2022. "Meta-analysis of country-level contextual moderators that impact the link between public service motivation and job satisfaction: evidence from 10 countries," International Review of Public Administration, Taylor & Francis Journals, vol. 27(3), pages 228-248, July.
    • Handle: RePEc:taf:rrpaxx:v:27:y:2022:i:3:p:228-248
    DOI: 10.1080/12294659.2022.2123295
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/12294659.2022.2123295
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/12294659.2022.2123295?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rrpaxx:v:27:y:2022:i:3:p:228-248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RRPA20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.