Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model

By Leo R. Vijayasarathy. Information Manager (The), 2004

1,348 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/b24799316c69f367fccbd7ce2c4c732f9f92d1b5

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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

The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption (2014, background): “Vijayasarathy (2004) finds PU and PEOU to be significant predictors of attitude toward online shopping, which in turn strongly influences consumers’ intentions to shop online.”
Predicting consumer intentions to shop online: An empirical test of competing theories (2007, result): “This result is consistent with previous research on B2C e-commerce [11,41], which reported that consumers who are confident about engaging in online purchasing are more willing to shop online.”
The importance of perceived trust, security and privacy in online trading systems (2009, background): “The positive relationship between security and attitude towards online shopping was empirically tested by Vijayasarathy (2004)”
What drives consumers' continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi Arabia (2011, methodology): “As indicated by the results of this research, the importance of social pressure can be assumed to be related to cultural factors leading to the question of to what extent the TAM and ECT may be valid in more collective societies than in developed countries?”
Purchase intention and purchase behavior online: A cross-cultural approach (2020, methodology): “It is important to highlight the contribution in this research regarding the importance of self-efficacy in online stores for inexperienced consumers, as established in the literature (Vijayasarathy, 2004; Wang et al., 2013).”
Consumer's decision to shop online: The moderating role of positive informational social influence (2011, background): “In ecommerce, studies have shown that PU and PEoU of the online shopping platform are the two beliefs that determine the likelihood of online shopping [18,19].”
The acceptance and use of a virtual learning environment in China (2008, background): “It has also been conceptualized as normative beliefs (Vijayasarathy, 2004), social inﬂuence (Karahanna & Straub, 1999), and social norms (Hsu & Lu, 2004), and was originally part of TRA (Fishbein & Ajzen, 1975).”
Online stickiness: its antecedents and effect on purchasing intention (2007, background): “Thus designing an eﬀective website that attracts as well as retains web users has become an important task (Vijayasarathy 2004).”