Assessing the Relationships between Selected Variables and Employee Job Satisfaction: Empirical Survey of a Typical Municipality
Albert Tchey Agbenyegah () and
Nhlakanipho Mvelase ()
Additional contact information
Albert Tchey Agbenyegah: Durban University of Technology
Nhlakanipho Mvelase: Msinga Local Municipality
EuroEconomica, 2019, issue 1(38), 7-22
Abstract:
This study seeks to identify selected variables that impact on employee job satisfaction in a typical municipality. Being quantitatively designed, the authors utilized purposive sampling techniques to select 160 permanent employees from five departments of the establishment. Primary data was collected through a sevenpoint Likert scale questionnaire. Data analysis was conducted after all the questionnaires were certified correct through SPSS version 23.0 supported by two statistical tools namely the descriptive and inferential. Besides other variables that emerged from the literature gender, remuneration, promotional programs does not differ from EJS. However, the study revealed that variables such as academic achievement and supervision differ significantly from employee job satisfaction. Given the nature of the relationships between the stated variables, practical recommendations to assist employers and management to increase productivity in the municipality through employees’ job satisfaction.
Keywords: Employee job satisfaction index; employee job satisfaction; selected factors; employee satisfaction; modern-day organisation (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://journals.univ-danubius.ro/index.php/euroeconomica/article/view/5682/4928 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dug:journl:y:2019:i:1:p:7-22
Access Statistics for this article
More articles in EuroEconomica from Danubius University of Galati Contact information at EDIRC.
Bibliographic data for series maintained by Florian Nuta ().