Work engagement of employees in the mining environment

Abstract

The mining industry is one of the largest employers in South Africa in an attempt to thrive in a continuously changing environment and in line with the modem organisation's focus on the various dimensions of employee well-being, mining organisations need the services of engaged workers. The objective of this research was to establish the relationship between work engagement and demographic characteristics, job characteristics and work-home interaction of employees working in the mining industry. A random sample of 320 employees was taken from various mining companies in the Gauteng and North West Provinces. The job characteristics, UWES and SWING questionnaires were used as measuring instruments. Cronbach alpha coefficients, Pearson product-moment correlation coefficients, exploratory factor analysis, structural equation modelling and logistic regression analysis were used to analyse the data Exploratory factor analysis with target rotations confirmed the construct validity of the measuring instruments. Chi-square and t-tests indicated positive relationships between work engagement and race, autonomy, social support, instrumental support, task characteristics, positive work-home interference and positive home-work interference. Logistic regression analyses revealed that race, autonomy, task characteristics and positive home-work interference were significant predictors of work engagement. Recommendations were made for further research.