Extending the TAM for a t-commerce

By Jieun Yu, Imsook Ha, Munkee Choi, J. Rho. Information Manager (The), 2005

501 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/356bed3257bc0b51fbe3843d15bec925b511bb70

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

Age, gender and income: do they really moderate online shopping behaviour? (2011, background): “Nevertheless, it must be remembered that the behaviour of experienced users is not identical to that of an individual during their initial employment of the IT in question (Gefen et al., 2003; Yu et al., 2005), since the experience acquired modifies the effect of the variables considered.”
Impact of media richness and flow on e-learning technology acceptance (2009, background): “PU and PEU have a direct influence on intended technology use (Lu, Yu, & Liu, 2005; Seyal, Rahman, & Rahim, 2002; Venkatesh & Davis, 1996; Venkatesh, Speier, & Morris, 2002) and well as actual technology use (Yi, Wu, & Tung, 2005/2006) across varied organisational contexts and general business techn”
Customer behavior in electronic commerce: The moderating effect of e-purchasing experience (2010, background): “As in other types of purchase situations (Sheth, 1968; Heilman et al., 2000), customer behavior does not necessarily remain stable over time since the experience acquired from past purchases means that perceptions change (Taylor and Todd, 1995; Yu et al., 2005).”
Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping (2007, background): “, 1989) and among experienced users (Karahanna and Straub, 1999; Yu et al., 2005).”
Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model (2007, background): “This result underlies the importance of perceived enjoyment in influencing user acceptance of a new technology (Davis et al., 1992; Teo and Lim, 1997; Wexler, 2001; Yu et al., 2005).”
Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior (2013, result): “This finding is inconsistent with the results by Kim et al. (2008), Lee (2009), Moon and Kim (2001), Wu and Chen (2005) and Yu et al. (2005) which showed ease of use had direct effect on perceived usefulness and attitude toward use.”
User acceptance of hedonic digital artifacts: A theory of consumption values perspective (2010, background): “Examples include online learning [14], computer games [9], software agents [20], and television commerce [27].”