Personality Profiles that Put Users at Risk of Perceiving Technostress
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RESEARCH PAPER
Personality Profiles that Put Users at Risk of Perceiving Technostress A Qualitative Comparative Analysis with the Big Five Personality Traits Katharina Pflu¨gner • Christian Maier • Jens Mattke • Tim Weitzel
Received: 7 June 2019 / Accepted: 10 August 2020 Ó The Author(s) 2020
Abstract Some information systems research has considered that individual personality traits influence whether users feel stressed by information and communication technologies. Personality research suggests, however, that personality traits do not act individually, but interact interdependently to constitute a personality profile that guides individual perceptions and behavior. The study relies on the differential exposure-reactivity model to investigate which personality profiles of the Big Five personality traits predispose users to perceive techno-stressors. Using a questionnaire, data was collected from 221 users working in different organizations. That data was analyzed using fuzzy set Qualitative Comparative Analysis. Based on the results, six different personality profiles that predispose to perceive high techno-stressors are identified. By investigating personality traits in terms of profiles, it is shown that a high and a low level of a personality trait can influence the perception of techno-stressors. The results will allow users and practitioners to identify individuals who are at risk of perceiving techno-stressors based on their personality profile. The post-survey analysis offers starting points for the prevention of perceived technoAn earlier version of this paper was presented at the International Conference on Wirtschaftsinformatik, Siegen, Germany, in February 2019 (Pflu¨gner et al. 2019). Accepted after four revisions by Alexander Maedche.
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12599-020-00668-7) contains supplementary material, which is available to authorized users. K. Pflu¨gner (&) C. Maier J. Mattke T. Weitzel University of Bamberg, An der Weberei 5, 96047 Bamberg, Germany e-mail: [email protected]
stressors and the related negative consequences for specific personality profiles. Keywords Technostress Big Five personality traits Individual differences Prevention Dark side of information systems Differential exposure-reactivity model Fuzzy set qualitative comparative analysis (fsQCA) Configurations
1 Introduction The term technostress was coined in 1984 as a modern disease (Brod 1984) and reflects stress caused by using information and communication technologies (ICTs) (Ragu-Nathan et al. 2008). Over 35 years later, technostress remains a major challenge in the modern workplace as employees are facing an increasing workload, workflow interruptions, and perceived constant availability that are associated with the ongoing digitalization (Tarafdar et al. 2019). These are examples of how ICTs stimulate technostress, which is described by so-called techno-stressors in relevant research (Ragu-Nathan et al. 2008)
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