IDEAS home Printed from https://ideas.repec.org/a/taf/rapaxx/v45y2023i2p179-198.html
   My bibliography  Save this article

Do high-PSM public employees like extrinsic rewards? A latent class analysis

Author

Listed:
  • Chengwei Xu
  • Assel Mussagulova
  • Chung-An Chen
  • Ming-Feng Kuo

Abstract

Scholarship examining public service motivation (PSM) in multi-incentive settings is still insufficient. Though previous studies have extensively tested the nomological networks of PSM, they paid less attention to differences between individual preferences. Drawing on latent class analysis (LCA), this study addresses this gap by focusing on these differences in a multi-incentive setting instead of merely investigating relationships between variables. The analysis established a four-class model that classified 1286 Chinese respondents into four groups based on their PSM level and responses to three types of rewards (i.e., intrinsic, intangible extrinsic, and tangible extrinsic rewards). Results demonstrated that: among the respondents, (1) 32.49% with low PSM preferred tangible extrinsic rewards; (2) 19.3% with moderate PSM showed a preference for intangible extrinsic rewards; (3) 35.94% with high PSM reported a desire for tangible extrinsic rewards; and (4) 12.26% with high PSM showed a preference for all three types of rewards. Findings support the argument that PSM may be compatible with tangible and intangible extrinsic rewards.

Suggested Citation

  • Chengwei Xu & Assel Mussagulova & Chung-An Chen & Ming-Feng Kuo, 2023. "Do high-PSM public employees like extrinsic rewards? A latent class analysis," Asia Pacific Journal of Public Administration, Taylor & Francis Journals, vol. 45(2), pages 179-198, April.
  • Handle: RePEc:taf:rapaxx:v:45:y:2023:i:2:p:179-198
    DOI: 10.1080/23276665.2023.2169835
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23276665.2023.2169835
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23276665.2023.2169835?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tae-Soo Ha & Kuk-Kyoung Moon, 2023. "Organizational Justice and Employee Voluntary Absenteeism in Public Sector Organizations: Disentangling the Moderating Roles of Work Motivation," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

    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:rapaxx:v:45:y:2023:i:2:p:179-198. 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/RAPA20 .

    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.