Job demands, job resources, and work engagement of employees in a manufacturing organisation
Abstract
The manufacturing industry today is seen as a demanding world of work where mployees
are constantly exposed to high demands. This may have an influence on their work
engagement levels and their organisational commitment. It seems that in these industries, employee turnover and absenteeism levels are high, while employees also seem to be demotivated in their work. The objective of this study was to investigate the levels of work engagement among employees in a manufacturing organisation and to assess which job demands and resources would predict work engagement. A random sample of 83 employees in a manufacturing organisation was taken. The Utrecht Work Engagement Scale (UWJ3S) and Job Demands-Resources Scale (IDRS) were used as measuring instruments. Descriptive statistics were used
to explore the data Cronbach alpha coefficients were used to assess the internal consistency / reliability of the measuring instruments. Pearson correlation coefficients were used to specify the relationships between the variables. A multiple regression analysis was used to determine the effects of job demands and job resources on work engagement. The results of the Pearson Correlations showed that two job resources, namely organisational support (i.e. relationship with supervisor, role clarity, information, communication, and participation) and growth opportunities (i.e. variety in the job, opportunities to learn, and
autonomy) were strongly related to the levels of work engagement. Social support (from colleagues) and advancement (i.e. remuneration, training and advancement opportunities) were moderately related to work engagement. The results of the regression analyses further indicated that an increase in two job resources, organisational support and growth opportunities, will probably increase the overall work engagement level of employee in a
manufacturing organisation. The results also indicated that job demands (i.e. pace of work, quantitative workload, and emotional load) had a weak relationship with work engagement. Recommendations for future research were made.