Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories

Patrick Y.K. Chau, Paul Jen Hwa Hu

Research output: Journal PublicationArticlepeer-review

652 Citations (Scopus)

Abstract

The proliferation of information technology (IT) in supporting highly specialized tasks and services has made it increasingly important to understand the factors essential to technology acceptance by individuals. In a typical professional setting, the essential characteristics of user, technology, and context may differ considerably from those in ordinary business settings. This study examined physicians' acceptance of telemedicine technology. Following a theory comparison approach, it evaluated the extent to which prevailing intention-based models, including the technology acceptance model (TAM), the theory of planned behavior (TPB) and an integrated model, could explain individual physicians' technology acceptance decisions. Based on responses from more than 400 physicians, both models were evaluated in terms of overall fit, explanatory power, and their causal links. Overall, findings suggest that TAM may be more appropriate than TPB for examining technology acceptance by individual professionals and that the integrated model, although more fully depicting physicians' technology acceptance, may not provide significant additional explanatory power. Also, instruments developed and repeatedly tested in prior studies involving conventional end-users and business managers may not be valid in professional settings. Several interesting implications are also discussed.

Original languageEnglish
Pages (from-to)297-311
Number of pages15
JournalInformation and Management
Volume39
Issue number4
DOIs
Publication statusPublished - Jan 2002
Externally publishedYes

Keywords

  • IT acceptance and adoption
  • Professional users
  • Structural equation models
  • Technology management
  • Telemedicine

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

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