Artikel

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

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.

Sprache
Englisch

Erschienen in
Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 9 ; Year: 2022 ; Issue: 1 ; Pages: 1-11

Klassifikation
Management
Thema
academic staff
binary logistics
Debre Berhan University
turnover intention

Ereignis
Geistige Schöpfung
(wer)
Kebede, Abebe Getaneh
Fikire, Abebaw Hailu
Ereignis
Veröffentlichung
(wer)
Taylor & Francis
(wo)
Abingdon
(wann)
2022

DOI
doi:10.1080/23311975.2022.2105038
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Kebede, Abebe Getaneh
  • Fikire, Abebaw Hailu
  • Taylor & Francis

Entstanden

  • 2022

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