Investigating the antecedents of work disengagement in the workplace

Abstract

Purpose Organizations are keenly interested to find out the causes of work disengagement that are harmful to achieve desired level of performance. Antecedents and levels of work disengagement vary across organizations and sectors due to differences in organizational culture. Therefore, the purpose of this paper is to determine the antecedents of work disengagement in the public sector organizations. Design/methodology/approach The research data were obtained from 303 employees of the public sector organizations using the self-administered questionnaires and cluster sampling technique. The research model proposed in this study has been examined by using the regression analysis and Hayes’s (2013) guidelines for moderation. Findings It is found that work disengagement increases because of managers’ personal preferences, unfairness, above the rule practices, negative political influence, work overload, and a lack of accountability in the workplace. The results reveal a positive association among organizational injustice, organizational politics, work overload, and work disengagement. Moreover, it is also found that organizational injustice is a strongest predictor of work disengagement. Bureaucratic culture of the public sector organizations has a strong strengthening effect on above-stated relationships. Research limitations/implications The study has identified various practical implications related to top management, employees, union, and researchers. The study provides new avenues for senior managers of the services sector to eradicate the levels of work disengagement by improving fairness and perception of organizational politics in the workplace. Originality/value There is rare literature that investigates the link between work disengagement and organizational injustice, organizational politics, and work overload especially in the presence of interactive effects of a bureaucratic culture. Most of the studies on employee disengagement did not use the unbiased and significant sample size so their results cannot be generalized to larger population. Therefore, the current study has aimed to overcome the shortcomings of previous studies and brings a novel conceptual model on work disengagement.