Technostress during the implementation of IT systems: Study published in “The Database for Advances in Information Systems”
How do individuals deal with new technologies in companies when they are perceived as stressful? This question is the subject of a study published in the November issue of the “Database for Advances in Information Systems” of the Association for Computing Machinery (ACM) with the participation of the Schöller Endowed Chair for Information Systems at the Friedrich-Alexander-Universität Erlangen-Nürnberg.
Employees in companies have to adapt their working methods to newly introduced IT systems, as these often mean changes for their respective work systems. In the study, the team of authors around Christoph Weinert, Christian Maier and Tim Weitzel of the University of Bamberg in cooperation with Sven Laumer looked at how these changes are perceived, how the perception of these changes changes changes over time and how this reappraisal process can be positively influenced by the behavior of individuals themselves or by companies.
With the help of a longitudinal study and hierarchical linear modeling (HLM) to validate the research model, this process could be traced over time. The results show that employees re-evaluate the newly implemented IT systems over time in terms of perceived opportunities, threats and controllability and show that technology adaptation behavior influences this re-evaluation. A specific finding is that employees can get into both positive and negative reinforcing reassessment loops.
The study is published in the “Database for Advances in Information Systems” of the Association for Computing Machinery (ACM). The “Database” is published by the ACM Special Interest Group on Management Information Systems (SIGMIS) and is a category B journal in the VHB Jourqual3.
The study can be accessed via the following link: https://dl.acm.org/doi/10.1145/3433148.3433151
Reference:
Christoph Weinert, Christian Maier, Sven Laumer, and Tim Weitzel. 2020. IS Reappraisal and Technology Adaptation Behaviors: A Longitudinal Study During an IS Implementation. SIGMIS Database 51, 4 (November 2020), 11–39. DOI: https://doi.org/10.1145/3433148.3433151