Publikationen M.Sc. Lea Müller
Müller, L. S. & Hertel, G. (in press). Trusting information systems in everyday work events – Effect on cognitive resources, performance, and well-being. Ergonomics. https://doi.org/10.1080/00140139.2023.2286910
Abstract: In today’s data-intensive work environments, information systems are crucial for supporting workers. However, workers often do not rely on these systems but resort to workarounds. We argue that trust is essential for workers’ reliance on information systems, positively affecting workers’ cognitive resources, performance, and well-being. Moreover, we argue that the organizational context (accountability, distractions) and user-related factors qualify trust-outcome associations by affecting workers’ trust calibration. In a preregistered study, we asked N = 291 employed users of information systems to re-experience prior everyday usage events (event reconstruction method) and assess event-specific trust in the system, work outcomes, and context conditions. Results confirmed the assumed association between trust in the information system and workers’ ratings of both performance and well-being. Moreover, workers’ technology competence and need for cognition – but not contextual conditions – qualified trust-outcome associations. Our results offer specific suggestions for achieving successful use of information systems at work.
Müller, L. S., Nohe, C., Reiners, S., Becker, J., & Hertel, G. (2023). Adopting information systems at work: a longitudinal examination of trust dynamics, antecedents, and outcomes. Behaviour & Information Technology, 1-33. https://doi.org/10.1080/0144929X.2023.2196598.
Müller, L. S., Reiners, S., Becker, J., & Hertel, G. (2023). Long-Term Effects of COVID-19 on Work Routines and Organizational Culture – A Case Study within Higher Education’s Administration. Journal of Business Research. Volume 163, 113927, https://doi.org/10.1016/j.jbusres.2023.113927.
Reiners, S., Müller, L.S., Becker, J., Hertel, G. (2022). Measuring the Influence of Characteristics on Decision-Making Scenarios: A Prototype. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1580. Springer, Cham. https://doi.org/10.1007/978-3-031-06417-3_52
Müller, L. S., Meeßen, S. M., Thielsch, M. T., Nohe, C., Riehle, D. M., & Hertel, G. (2020). Do not Disturb! Trust in Decision Support Systems improves work outcomes under certain conditions. MuC '20: Proceedings of the Conference on Mensch und Computer 2020, pp. 229–237. New York: ACM. https://doi.org/10.1145/3404983.3405515