Quality of work life, job satisfaction and happiness among academics at a university of technology in southern Gauteng
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Date
2020
Authors
Loko, Lieketseng Maburu
Journal Title
Journal ISSN
Volume Title
Publisher
Vaal University of Technology
Abstract
It is essential for universities of technology to employ academics who are willing to go beyond the requirements of the job to contribute to the university’s effectiveness. The developing trend in the organisational behaviour literature indicates that quality of work life (QWL) and job satisfaction are attitudes that have a major impact on organisational outcomes such as productivity, job performance, turnover intention and happiness. Although the relationship between the aforementioned constructs is considered important, there is a scarcity of research regarding these constructs in the context of a university of technology (UoT) in South Africa. The primary objective of this study was to determine the relationship between quality of work life, job satisfaction and happiness among academics at a UoT in southern Gauteng, South Africa.
A quantitative research approach and a survey-based descriptive method was used to achieve the primary objective. A structured questionnaire was distributed among 300 academic employees at a UoT in southern Gauteng, South Africa. Means and factor analysis were performed to gather insights of employees in terms of factors of QWL, job satisfaction and happiness of employees and to establish the underlying factors of the constructs respectively. Additionally, a correlation analysis was conducted to establish the strength and direction of the association among the constructs. Finally, a regression analysis was performed to determine the predictive relationship between the constructs.
The results of this study indicated positive significant correlations between the factors of QWL, job satisfaction and happiness. Regarding model 1, QWL was entered as the independent variable, and job satisfaction as the dependent variable. With reference to model 2, the independent variable was job satisfaction and happiness the dependent variable. Regression analysis indicated positive predictive relationships between the five factors of QWL and job satisfaction and between job satisfaction and happiness.
Based on the findings, it was recommended that the workload of academics should be reassessed to reduce pressure, task overload and mental exhaustion that will negatively impact on the QWL. Furthermore, employee involvement in decision making should be introduced to improve academics' job satisfaction. Finally, self-efficacy should be considered to assist academics to have confidence in their abilities to complete their work or achieve their goals.
Description
M. Tech. (Human Resource Management, Faculty of Management Sciences), Vaal University of Technology.
Keywords
Quality of work life, Job satisfaction, Happiness, University of technology