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

By Patrick Y. K. Chau, P. H. Hu. Information Manager (The), 2002

1,169 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/bffccc27dccec5bf7e45f0bb7c3f98f9da7da01a

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Strategy and Management

Citations in the corpus

A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior (2006, methodology): “SN has been employed to validate individuals’ intention to use ITs (e.g., Mathieson, 1991; Chau and Hu, 2002; Hsu and Chiu, 2004a, b; Brown and Venkatesh, 2005).”
ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists (2007, methodology): “The research model which will be developed and tested in this study (Figure 1) draws on findings from relevant prior research and is primarily based on the UTAUT model (Venkatesh et al. 2003) and on the generic framework for technology acceptance proposed by Chau & Hu (2002a).”
Web Acceptance Model (WAM): Moderating effects of user experience (2007, neutral): “58 For example [12,30]”
Critical factors of WAP services adoption: an empirical study (2003, background): “Such evidence includes the acceptance of telemedicine technology by physicians [30], the widespread adoption of virtual banking [22], decisions by executives to adopt new information technology [18], information technology adoption and usage [38,39], acceptance of electronic brokerage services [8], ”
Mobile computing acceptance factors in the healthcare industry: A structural equation model (2007, methodology): “Generally, the essential characeristics of users and technologies in professional healthcare iffer greatly from the customary commercial context [20].”
Why do people play on-line games? An extended TAM with social influences and flow experience (2004, background): “For instance, Chau and Hu [13] compared TAM with TPB and found that TAM may be more appropriate for examining telemedicine technology acceptance.”
Predicting consumer intention to use mobile service (2006, background): “Prior studies have found that TAM appears to be superior to TPB in explaining behavioural intention of using an IS, and that the decomposed TPB model, which integrates TPB and TAM, is better than TAM but the difference is not substantial (Chau & Hu, 2001; 2002).”
Examining technology acceptance by school teachers: a longitudinal study (2003, background): “The collective results suggest that an individual's decision to accept a technology is likely to be affected by multiple key factors or considerations pertinent to the technology , the user, and the organizational context [14] [20].”
Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective (2013, background): “For example, Chau and Hu [22] have integrated TAM and TPB into a model that investigates healthcare professionals' decisions to accept telemedicine technology.”