Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study

By Patrick Y. K. Chau, P. H. Hu. Journal of Management Information Systems, 2002

767 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/c13e6dbc472555e2db874a6d0e4e4b25b5dc85a3

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Citations in the corpus

THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, unknown): “Efforts to apply TAM to health IT date back to the late 1990’s, beginning with studies by Hong Kong researchers testing the TAM and, subsequently, different versions of TAM and TPB, in a sample of 408 surveyed physicians with access to telemedicine IT [32,48,49,95].”
Critical factors of WAP services adoption: an empirical study (2003, background): “Recently, numerous investigators have modified the initial TAM [11] or compared its predictive power with that of TPB [38].”
Why do people play on-line games? An extended TAM with social influences and flow experience (2004, background): “Previous research has demonstrated the validity of TAM across a wide range of IT [12,17,34,41,43].”
Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010, background): “This finding supports prior work that compatibility will positively affect perceived usefulness (e.g., Chau and Hu, 2002; Wu and Wang, 2005).”
Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model (2017, background): “Many researchers found a signi ﬁ cant impact of SN on BI (Abbasi, Tarhini, Elyas, & Shah, 2015; Van Raaij & Schepers, 2008; Venkatesh & Davis, 2000; Venkatesh et al., 2003), while a number of others failed to ﬁ nd any impact (Chau & Hu, 2002; Lewis, Agarwal, & Sambamurthy, 2003).”
Technology Acceptance among Physicians (2007, methodology): “…barriers to technology acceptance perceived by physicians and the general population of technology users, recent empirical research suggests that the TAM is a good predictor of physician behavioral intent to accept technology (Chau and Hu 2001, 2002b; Chismar and Wiley-Patton 2002; Hu et al. 1999).”
Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction (2020, background): “(Bagozzi et al., 1988; Byrne, 2010; Kline, 2011) highlighted that goodness-of-fit guidelines, such as the normed chi-square, chi-square/degree of freedom, normed fit index (NFI), relative fit index (RFI), Tucker-Lewis coefficient (TLI) comparative fit index (CFI), incremental fit index (IFI), the…”
Design aesthetics leading to m-loyalty in mobile commerce (2006, background): “In general, low R(2) values are common in behavioral science research (for example, see [12]).”
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).”