The role of moderating factors in user technology acceptance

By Heshan Sun, Ping Zhang. Int. J. Hum. Comput. Stud., 2006

1,066 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/816da97599033b3c49c60aaf2a7109c62715a6a7

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Citations in the corpus

An empirical examination of factors influencing the intention to use mobile payment (2010, background): “Individual differences are regarded as the most relevant variables to both IS success (Agarwal & Prasad, 1999; Chen, Czerwinski, & Macredie, 2000; Karahanna, Ahuja, Srite, & Galvin, 2002; Sun & Zhang, 2006; Zmud, 1979) and technological interaction (Dillon & Watson, 1996).”
Investigating the determinants and age and gender differences in the acceptance of mobile learning (2009, background): “Sun and Zhang (2006 ) also state that examining the potential moderating effects in user technology acceptance is a necessary step.”
Demographic differences in perceived benefits from gamification (2014, methodology): “…perceptions, motivations and information processing in technology adoption processes and use intentions may have significant consequences, for example, in organizational contexts, where large sums are invested into IT (Morris, Venkatesh, & Ackerman, 2005; Sun & Zhang, 2006; Venkatesh et al., 2000).”
A causal model of human capital antecedents and consequents in the financial services industry (2009, background): “In most social science and business administration research domains, there exist a growing number of moderators (Judge et al., 2001; Serenko et al., 2006; Sun and Zhang, 2006; Turel et al., 2006).”
Technology acceptance model: a literature review from 1986 to 2013 (2014, neutral): “between TAM variables and technology acceptance [76].”
Investigating the factors influencing the adoption of m-banking: A cross cultural study (2015, background): “It has been argued that existing user acceptance models still have room for improvement, as a result of their limited explanatory powers and inconsistent relationships, leading to additional factors being taken into account (Sun & Zhang, 2006).”
THE TECHNOLOGY ACCEPTANCE MODEL: ITS PAST AND ITS FUTURE IN HEALTH CARE (2009, positive): “Few studies assessed moderators [97,100,105], despite their importance in recent writings on TAM [36,38,51,127].”
Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems (2017, background): “For a long time, IS research has emphasized the role of individual differences in influencing users’ beliefs and outcomes of interactions with technology artifacts (Gefen and Straub 1997; Sun and Zhang 2006).”