Across the globe, every organization is striving to enhance the productivity and growth rate, but the prosperity and success of an organization is determined by the type of work environment in which it operates. To address this apprehension, this paper aims to determine the effect of toxic workplace environment on job stress that can badly affect the job productivity of an employee.
As an independent variable, toxic workplace environment was used as a complete spectrum consisting multiple dimensions named as workplace ostracism, workplace incivility, workplace harassment and workplace bullying. Job stress was used as a mediating variable between the spectrum of toxic workplace environment and job productivity. In this regard, self-administered close-ended questionnaire was used to collect the data from 267 employees of the health sector (HS) of Lahore region in Pakistan. For analysis purpose, we used confirmatory factor analysis to ensure the convergent and discriminant validity of the factors. AMOS 22 was used to check the direct and indirect effect of selected variables. Hayes mediation approach was used to check the mediating role of job stress between four dimensions of toxic workplace environment and job productivity.
The output demonstrated that the dimensions of toxic workplace environment have a negative significant relationship with job productivity, while job stress was proved as a statistical significant mediator between dimensions of toxic workplace environment and job productivity. Finally, we conclude that organizations need to combat/cleanse the roots of toxic workplace environment to ensure their prosperity and success.
This study aims to determine the effect of toxic workplace environment on job stress that can badly affect the job productivity of an employee. An empirical study in the context of the HS of Pakistan. This study, which is based on HS, has never been reported before in literature.
Anjum, A. and Ming, X. (2018), "Combating toxic workplace environment: An empirical study in the context of Pakistan", Journal of Modelling in Management, Vol. 13 No. 3, pp. 675-697. https://doi.org/10.1108/JM2-02-2017-0023Download as .RIS
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