African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4058

Full Length Research Paper

Factorizing towards the prime determinants of job satisfaction: An integrative modeling across PCA and logistic regression

Timkete Aleme
  • Timkete Aleme
  • Department of Economics, Mizan-Tepi University, Mizan Teferi, Ethiopia.
  • Google Scholar

  •  Received: 15 August 2018
  •  Accepted: 30 October 2018
  •  Published: 14 December 2018


In recent years, job satisfaction has been seriously taken as one of the top priority concerns in developing countries, since the living standards of the people have been improving. The overarching aim of this study is to identify the top most determinants of job satisfaction among employees of Abay bank using a sample of 150 employees working in Addis Ababa. A combination of principal component analysis (PCA) and OLR models were used. Out of the 13 variables initially identified, 5 principal factors were drawn using PCA. Based on the earlier findings of PCA, OLR analysis was conducted on the five prime factors. The findings demonstrate that 4 factors are statistically significant with evidence that remuneration and fringe benefits and effective leadership are positively linked with job satisfaction wherein unmet job expectation and workload are negatively correlated with job satisfaction. However, evaluation and promotion appeared statistically insignificant. The findings highlight the need for establishing conducive working environment and recommend the bank to stay attuned in weighting workers economic status.


Key words: Bank employees, factors, determinants, job satisfaction, principal component analysis, principal component analysis (PCA), ordered logistic regression, OLR, Abay Bank, Ethiopia.