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Impact of Work-from-Home Jobs on Technostress and its relation with Employee Productivity: An Empirical Study

Authors: Anindita Chatterjee Rao; Kalra, Sonia; Hazarika, Deepti Dabbas;

Impact of Work-from-Home Jobs on Technostress and its relation with Employee Productivity: An Empirical Study

Abstract

Abstract: This paper aims to see the impact of work-from-home jobs on different techno stressors and its impact on employee productivity. To assess the effects of work-from-home jobs on techno stressors, the study has applied multivariate analysis (Manova) and finding confirms significant positive impact on techno uncertainty, complexity and overload. The study has also applied the linear regression technique to determine the impact of techno stressors on the productivity of the employee. The finding confirms significant impact of techno uncertainty on the productivity of the employees, showing fear of losing jobs causing uncertainty positively impacting the productivity of the employees. The study also suggested to policymakers for providing mandatory digital training to employees for reducing techno stress in work-from-home jobs and making efficient use of information technology in WFH jobs. Keywords: Technostress, WFH jobs, Employee Productivity, Post COVID WFH Model JEL Classification Number: D23, D83, L86

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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