An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study

By Ing-Long Wu, Jian-Liang Chen. Int. J. Hum. Comput. Stud., 2005

924 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/c9cc2ff1262a0b2a0bfcbe1ad8eae958e33e29ae

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Citations in the corpus

Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model (2010, positive): “Trust The concept of Trust not only emerged from our own findings [29], it is also found in studies concerning robot technology [31, 49, 50] and human-robot interaction [25, 30, 51].”
Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context (2013, background): “As some scholars stated explicitly, trust has a direct influence on behavioural intention to use [94].”
Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers (2015, methodology): “This scale is based on three items adopted from previous studies (Casaló, Flavián and Guinalíu, 2010; Wu and Chen, 2005; Bhattacherjee, 2001).”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, neutral): “As for the effects of usefulness, empirical evidence is found to accept H3, demonstrating the relevance of usefulness through the attitude of the proposed mobile app (ˇ = 0.46; p = 0.000), as it appeared in research by Wu and Chen (2005) and Muñoz et al. (2012).”
Predicting the travel intention to take High Speed Rail among college students (2010, background): “…to some researches, trust can be considered a conspicuous behavioral belief which exerts an influential effect on the antecedents of behavioral intention – that is, attitude, perceived behavioral control, and subjective norm (Bandura, 1986; Davis, Bagozzi, & Warshaw, 1989; Wu & Chen, 2005).”
Trust in AI and Its Role in the Acceptance of AI Technologies (2022, result): “These findings are consistent with Study 1 and prior literature (Gefen et al., 2003; Wu & Chen, 2005).”
Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model (2010, background): “Many empirical studies have supported this argument (Venkatesh & Davis, 2000; Wu & Chen, 2005).”
A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior (2006, neutral): “…behavior TPB (Ajzen, 1988, 1991), an extension to TRA, was conceived to explain and predict individual acceptance of IT (Mathieson, 1991; Taylor and Todd, 1995a, b; Venka-tesh et al., 2000; Chau and Hu, 2002; Hsu and Chiu, 2004a, b; Huang and Chang, 2005; Luarn and Lin, 2005; Wu and Chen, 2005).”