An empirical study on predicting user acceptance of e-shopping on the Web

By Hung-Pin Shih. Information Manager (The), 2004

807 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/4df3c2ac91b9dc0eb4595d1ae38185151a90f3b8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Marketing

In Sociology and Political Science

Citations in the corpus

Technology acceptance: a meta‐analysis of the TAM: Part 1 (2007, background): “Szajna (1996) also recommended adding an experience component as an extension of the TAM.”
Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality (2019, methodology): “Based on the TAM model, Shih [17] found that perceived information quality in Internet shopping had a positive effect on perceived ease of use and usefulness.”
Predicting consumer intentions to shop online: An empirical test of competing theories (2007, background): “Consumers prefer to evaluate their online shopping performance in terms of the associated benefits and costs, including maximizing convenience and minimizing transaction time [24].”
Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis (2010, neutral): “, 2001/2002; Chau, 2001], “personal innovativeness” [Agarwal and Karahanna, 2000], “perceived information quality” [Shih, 2004], and “social factors” [Hsu and Lu, 2004].”
Determinants of behavioral intention to mobile banking (2009, background): “Privacy Security Normative beliefs Self-efficacy Shih (2004a) 212 Web users PU, PEOU, ATT User acceptance User satisfaction Web security and Access costs Perceived information quality Perceived system quality”
User satisfaction from commercial web sites: The effect of design and use (2006, background): “Shih’s [ 81 ] extended model to predict acceptance of electronic-shopping (eshopping) indicated that user satisfaction with the WWW and perceptions of information, system and service affected user acceptance significantly.”
Factors for Successful e‑Government Adoption: a Conceptual Framework (2007, background): “He has operationalised perceived usefulness as the extent to which the work can be done more quickly, an enhancement in job performance, and an increase in productivity and effectiveness. The level of perceived usefulness directly affects eGovernment adoption. The website content could also add to t”
Personal values as underlying motives of shopping online (2008, background): “Previous studies of online shopping have established two categories of attributes – intrinsic and extrinsic – and both are important in customers’ selections of which online stores they will patronize (Liu and Arnett, 2000; Shih, 2004; Muylle et al., 2004).”
Customer behavior in electronic commerce: The moderating effect of e-purchasing experience (2010, background): “They measure the same concept from different perspectives so they are probably inter-linked (Shih, 2004).”
Antecedents of Online Shopping Behavior in India: An Examination (2011, background): “Shih ( 2004 ) posits that customers' attitude toward online shopping is strongly correlated with Internet acceptance.”