IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v9y2022i1p2105038.html
   My bibliography  Save this article

Demographic and job satisfaction variables influencing academic staffs’ turnover intention in Debre Berhan University, Ethiopia

Author

Listed:
  • Abebe Getaneh Kebede
  • Abebaw Hailu Fikire

Abstract

Academic staff turnover intention is one of the problems facing different universities in Ethiopia. This problem has also become a serious one at Debre Berhan University. Thus, this study aimed to investigate the influence of demographic factors and job satisfaction variables on the academic staff turnover intention at Debre Berhan University. For this purpose, both descriptive and explanatory research designs were employed. The research followed a quantitative research approach. The study used primary data. The data was obtained from 265 academic staff selected from nine colleges using both stratified sampling and simple random sampling techniques. A binary logistic regression model was used to examine the influence of demographic factors and job satisfaction variables. Accordingly, it is found that pay and benefits, working environment, and ethnicity were found to be the significant factors that affect academic staff turnover intention. This study suggests that the management of the university and the Ministry of Education, in order to increase the staff’s salary based on the current labor market, develop different benefits packages such as building them residence houses, providing health insurance and facilitating credit services for different purposes by collaborating with banks and other financial institutions. Besides, the government should ensure political stability by minimizing ethnic-led conflict by avoiding ethnic-based federalism.

Suggested Citation

  • Abebe Getaneh Kebede & Abebaw Hailu Fikire, 2022. "Demographic and job satisfaction variables influencing academic staffs’ turnover intention in Debre Berhan University, Ethiopia," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2105038-210, December.
  • Handle: RePEc:taf:oabmxx:v:9:y:2022:i:1:p:2105038
    DOI: 10.1080/23311975.2022.2105038
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2022.2105038
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2022.2105038?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:oabmxx:v:9:y:2022:i:1:p:2105038. 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://cogentoa.tandfonline.com/OABM20 .

    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.