Web Acceptance Model (WAM): Moderating effects of user experience

By J. Castañeda, Francisco Muñoz-Leiva, Teodoro Luque. Information Manager (The), 2007

438 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/755c88d2a11828c698d134aa5467678a6abc6a19

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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

User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, positive): “In addition to age and gender, in the ITC context, user experience has been considered as one of the main factors explaining an individual’s behavior, because users gain experience in using ITC as they utilize them over time [81].”
Customer behavior in electronic commerce: The moderating effect of e-purchasing experience (2010, background): “Following Castañeda et al. (2007), we consider that the more positive the attitude to e-purchasing, the greater will be the willingness to begin and continue buying on the Internet.”
Technology acceptance model: a literature review from 1986 to 2013 (2014, neutral): “[11]”
Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience (2018, background): “Instead, the external usage experience will provide users with a benchmark or reference level to better evaluate the specific technology [27,30,64].”
Effects of Restaurant Satisfaction and Knowledge Sharing Motivation on eWOM Intentions (2017, neutral): “PEOU, unlike PU, is more related to individuals’ intrinsic motivations—for example, the hedonistic aspects (Castañeda et al., 2007) and the interface as well as the process involved in using it (Gefen & Straub, 2000).”
Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy (2016, background): “…in their ability to get used to new technology as long as they are less likely to be influenced by the degree of difficulties that exist in technology (Castañeda et al., 2007; Davis et al., 1989; Venkatesh et al., 2003; Venkatesh et al., 2012; Wang et al., 2006; Wessels and Drennan, 2010).”
Perceived Convenience in an Extended Technology Acceptance Model: Mobile Technology and English Learning for College Students. (2012, background): “An influence from the experience factor also could occur, as Castañeda et al. (2007) found that determinants of intention to revisit the website, such as perceived ease of use and perceived usefulness, could be affected by users’ experiences on the website.”