Publikationen M.Sc. Lea Müller

Müller, L. S., Nohe, C., Reiners, S., Becker, J., & Hertel, G. (in press). Adopting Information Systems at Work: A Longitudinal Examination of Trust Dynamics, Antecedents, and Outcomes. Behaviour & Information Technology. https://doi.org/10.1080/0144929X.2023.2196598

Abstract: For users to adopt information systems, they must develop trust in such systems. Even though trust theories consistently define trust as dynamic, the development of trust over time has received little empirical attention. The present study examined the development of trust in a newly introduced information system and its association with antecedents related to the individual (e.g., disposition to trust), the information system (e.g., reliability), and the context (e.g., support) at different time points. We further assessed users’ reliance, performance, and well-being as outcomes of trust. Employees (N = 313) of a German public university assessed a newly introduced invoice processing system on four occasions (before system launch, after initial use, five months after launch, ten months after launch). Results from latent growth curve modeling show a non-linear increase of trust in the information system over time with changing predictors: Person factors were stronger predictors of trust in early phases, whereas system characteristics were stronger predictors later in the process. Moreover, user’s trust in the information system correlated positively with reliance, performance, and well-being. Our results highlight the central role of trust for the successful adoption of information systems at work, and offer specific suggestions for their building and maintenance.

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Müller, L. S., Reiners, S., Becker, J., & Hertel, G. (in press). Long-Term Effects of COVID-19 on Work Routines and Organizational Culture – A Case Study within Higher Education’s Administration. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2023.113927

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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