EconPapers    
Economics at your fingertips  
 

Physicians' resistance toward healthcare information technology: a theoretical model and empirical test

Anol Bhattacherjee and Neset Hikmet

European Journal of Information Systems, 2007, vol. 16, issue 6, 725-737

Abstract: This paper presents a theoretical model of physician resistance of healthcare information technology (HIT) usage by integrating the technology acceptance and resistance to change literatures, using a dual-factor model of technology usage. This model elaborates the interdependent and asymmetric effects of inhibiting usage perceptions, such as resistance, on HIT usage intentions relative to enabling perceptions, such as perceived usefulness and perceived ease of use. It also proposes perceived threat as a predictor of resistance, perceived compatibility as predicting perceived usefulness, and related knowledge as predicting perceived ease of use. The resulting model is empirically supported using a field survey of a computerized physician order entry system among 129 practicing physicians at a large acute-care hospital. Our study illustrates the importance of incorporating user resistance in technology usage studies in general and HIT usage studies in particular, grounds resistance research within extant theories of technology usage, and provides a preliminary model of resistance that can serve as the starting point for future research in this relatively unexplored yet potentially fertile area of research.

Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://hdl.handle.net/10.1057/palgrave.ejis.3000717 (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:tjisxx:v:16:y:2007:i:6:p:725-737

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjis20

DOI: 10.1057/palgrave.ejis.3000717

Access Statistics for this article

European Journal of Information Systems is currently edited by Par Agerfalk

More articles in European Journal of Information Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjisxx:v:16:y:2007:i:6:p:725-737