Adopting information systems at work: a longitudinal examination of trust dynamics, antecedents, and outcomes

Lea S. Müller, Christoph Nohe, Sebastian Reiners, Jörg Becker and Guido Hertel

Behaviour and Information Technology, 2024, vol. 43, issue 6, 1096-1128

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 modelling 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, users’ 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.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2023.2196598 (text/html)
Access to full text is restricted to subscribers.

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:taf:tbitxx:v:43:y:2024:i:6:p:1096-1128

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2023.2196598

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().