EconPapers    
Economics at your fingertips  
 

User-resistance behaviours toward electronic health records: uncovering the determinants of perceived threats

Madison N. Ngafeeson and Joseph A. Manga

Behaviour and Information Technology, 2025, vol. 44, issue 11, 2742-2759

Abstract: This study uncovers the determinants of perceived threats that have long been associated with resistance to healthcare information technology in general, and electronic health records in particular. Conceptualised as perceived dissatisfaction with outcomes and perceived helplessness over process, these threats are discussed from the perspective of the Psychological Reactance Theory. Study participants consisting of a diverse group of healthcare professionals were drawn from sample frame of health practices. Data from a sample of 217 participants were used to test the model. Using structural equation modeling, the model relationships were analyzed, and hypotheses were tested. The study results show that perceived threats to electronic health records are triggered by two types of factors: namely, intrinsic stimuli like self-efficacy and performance expectancy; and extrinsic causes such as social enabling effect and social influence. The implications of these findings are particularly useful to both research and practice. Managers and informaticians in both healthcare and non-healthcare settings will find the results both instructive and helpful in mitigating resistance. Theorists will be enriched by the insights from the antecedents of perceived threats to advance research.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2410312 (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:44:y:2025:i:11:p:2742-2759

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

DOI: 10.1080/0144929X.2024.2410312

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 ().

 
Page updated 2025-08-05
Handle: RePEc:taf:tbitxx:v:44:y:2025:i:11:p:2742-2759