A meta-analysis of the technology acceptance model

By William R. King, Jun He. Information Manager (The), 2006

3,016 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8804ac791be9f097211332efe0776a3585da4f36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Investigating the factors influencing the adoption of m-banking: A cross cultural study (2015, result): “The results of this study are consistent with other research (Arvidsson, 2014; Gefen & Straub, 2000; King & He, 2006; Luarn & Lin, 2005; Pavlou, 2003; Venkatesh, et al., 2003) with PU significantly predicting ITU m-banking in Thailand.”
The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, methodology): “…particularly due to its transferability to various contexts and samples, its potential to explain variance in the intention to use or the use of technology, and its simplicity of speci ﬁ cation within structural equation modeling frameworks (e.g., King & He, 2006; Maranguni ć & Grani ć , 2015).”
Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions (2018, methodology): “Since its seminal appearance (Davis et al., 1989), multiple meta-analyses of extant TAM research indicate that hundreds of studies have focused on investigating and extending TAM theory in different contexts (King & He, 2006; Ma & Liping, 2004; Schepers & Wetzels, 2007; Venkatesh et al., 2003).”
User acceptance of wireless short messaging services: Deconstructing perceived value (2007, background): “The validity and explanatory power of these models have been examined across many systems and contexts [28].”
Contemporary trends and issues in IT adoption and diffusion research (2009, neutral): “(2006), King and He (2006), Legris et al .”
Factors Influencing the Acceptance of Self-Service Technologies (2016, methodology): “411 mediating mechanisms usefulness and ease of use do not work separately, as suggested by TAM, and that some determinants may influence SST acceptance through both mediators.”
Students' perceptions of Facebook for academic purposes (2014, background): “Prior studies (Mazman & Usluel, 2010, King & He, 2006; Ngai, Poon, & Chan, 2007; van Raaij & Schepers, 2008) concluded that Perceived Usefulness was the most important factor in predicting the adoption of virtual learning environments.”