IDEAS home Printed from https://ideas.repec.org/a/taf/rrpaxx/v27y2022i4p297-324.html
   My bibliography  Save this article

Critical latent triggers for threshold candidates at exit? A study of Korean public employees

Author

Listed:
  • Jee In Chung
  • Soo-Young Lee
  • Hayoung Lee

Abstract

This study analyzes the effect of need satisfaction on turnover intention for public employees using Alderfer’s ERG theory. Unlike previous studies, we focus on employees that fall within the range of voluntary turnover threshold to explore which of their needs result in a significantly increased turnover intentions. That is, we examine which needs act as latent key determinants that trigger voluntary turnover. We found that job satisfaction is a factor that induces threshold candidates to voluntary turnover and may also act as a latent critical trigger that causes non-threshold candidates to enter into the threshold and the effect of job satisfaction on turnover intention was found to be greater for threshold candidates. On the other hand, lower job security satisfaction led to increased turnover intention for non-threshold candidates which suggests that dissatisfaction with job security can act as a late critical trigger that causes them to enter into turnover threshold. Lastly, Among the threshold candidates, employees with lower pay satisfaction had higher turnover intention and among the non-threshold candidates, those with lower career development satisfaction showed higher turnover intention, respectively. Our results imply that differentiated management approaches are essential between strategies to prevent employees within the threshold from exiting and strategies to prevent new entry into the threshold.

Suggested Citation

  • Jee In Chung & Soo-Young Lee & Hayoung Lee, 2022. "Critical latent triggers for threshold candidates at exit? A study of Korean public employees," International Review of Public Administration, Taylor & Francis Journals, vol. 27(4), pages 297-324, October.
  • Handle: RePEc:taf:rrpaxx:v:27:y:2022:i:4:p:297-324
    DOI: 10.1080/12294659.2022.2136053
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/12294659.2022.2136053
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/12294659.2022.2136053?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:4:p:297-324. 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.