Technostress and employee well-being: a systematic review of empirical evidence

Mansuroğlu, Ezgi and Smith, Andrew P. ORCID: https://orcid.org/0000-0001-8805-8028 2026. Technostress and employee well-being: a systematic review of empirical evidence. Computers in Human Behavior Reports , 100941. 10.1016/j.chbr.2026.100941

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Abstract

As technology continues to reshape industries, understanding the effects of technostress on employee well-being becomes imperative. While research on technostress has grown substantially in recent years, existing studies are often fragmented in scope and limited in cross-contextual depth. In this systematic review, we synthesized the findings of 201 (after the double screening) peer-reviewed empirical studies, primarily retrieved from the PubMed, Scopus, and Web of Science databases, to map technostress along the four analytical dimensions: its core components, its impact on well-being, key mediating and moderating variables, and contextual variations. Our findings demonstrated that the relationship between technostress and employee well-being has been most frequently studied in Germany, Italy, and India, with education and healthcare emerging as the most commonly examined sectors. Furthermore, techno-overload and techno-invasion were the most reported technostressors linked to adverse well-being indicators across the studies. Our analysis revealed an underrepresentation of cross-national and cross-cultural comparisons in the existing literature. Drawing on these insights, this review advances the literature by introducing the Demands-Resources-Individual Effects (DRIVE) model as a coherent integrative framework for studying technostress and well-being. The model provides a theoretically grounded explanation of how digital demands, personal resources, and individual differences interact to shape well-being outcomes. Combined with the Well-being Process Questionnaire (WPQ), it also offers a practical, validated approach for assessing these mechanisms in diverse organizational contexts.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Schools > Psychology
Publisher:	Elsevier BV
ISSN:	2451-9588
Date of First Compliant Deposit:	26 January 2026
Last Modified:	26 Jan 2026 14:15
URI:	https://orca.cardiff.ac.uk/id/eprint/184188

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