Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors

Henner Gimpel (), Julia Lanzl (), Christian Regal (), Nils Urbach (), Julia Becker () and Patricia Tegtmeier ()
Additional contact information
Henner Gimpel: Branch Business & Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT, 86159 Augsburg, Germany; and Department of Digital Management, University of Hohenheim, 70599 Stuttgart, Germany; and FIM Research Center for Information Management, 95444 Bayreuth, Germany
Julia Lanzl: Branch Business & Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT, 86159 Augsburg, Germany; and Department of Digital Management, University of Hohenheim, 70599 Stuttgart, Germany; and FIM Research Center for Information Management, 95444 Bayreuth, Germany
Christian Regal: Department of Digital Management, University of Hohenheim, 70599 Stuttgart, Germany; and FIM Research Center for Information Management, 95444 Bayreuth, Germany
Nils Urbach: Branch Business & Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT, 86159 Augsburg, Germany; and FIM Research Center for Information Management, 95444 Bayreuth, Germany; and Research Lab for Digital Innovation & Transformation (ditlab), Frankfurt University of Applied Sciences, 60318 Frankfurt, Germany
Julia Becker: Research Institute for Vocational Education and Training gGmbH, 90408 Nuremberg, Germany
Patricia Tegtmeier: Unit Human Factors, Ergonomics, Federal Institute for Occupational Safety and Health, 44149 Dortmund, Germany

Information Systems Research, 2025, vol. 36, issue 2, 896-915

Abstract: There are many models with various sets of hindrance technostressors. Researchers and practitioners face the challenge of selecting a model or mixing several models without guidance on their relative advantages and suitability for contemporary digital work. None of the existing models captures the full conceptual breadth of hindrance technostress, and the existing models typically offer suboptimal power to explain the negative psychological responses or outcomes of technostressors. We synthesize the fragmented works on hindrance technostressors and propose a unified hierarchical model of digital hindrance stressors. We provide an extensive and parsimonious measurement model with high predictive power. This work builds on technostress and occupational stress theory using a quantitative-dominant mixed-methods study. The empirical part of the study includes a qualitative prestudy and multiple surveys with more than 5,800 participants. The data support the modeling, validation, and benchmarking of the new models we introduce. We discuss the relative advantages of the models for research and practice and guide their selection.

Keywords: technostress; digital stress; hindrance technostressors; work context; multilevel structure; mixed methods (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/isre.2022.0691 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:36:y:2025:i:2:p:896-915

Access Statistics for this article

More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().