Acceptance of e-commerce services: the case of electronic brokerages

By Anol Bhattacherjee. IEEE Trans. Syst. Man Cybern. Part A, 2000

853 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/6b2db1f5fa266528cba6d7bfdb8079852d161b63

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Citations in the corpus

Predicting the travel intention to take High Speed Rail among college students (2010, background): “The last antecedent of intention is perceived behavioral control (PBC), as it reflects the person’s past experience, anticipated obstacles, and resources (e.g., opportunity, time, money, and skill) required to perform the behavior (Ajzen, 1991; Bhattacherjee, 2000; Taylor & Todd, 1995).”
Predicting electronic service continuance with a decomposed theory of planned behaviour (2004, methodology): “Their measure of subjective norm is similar to the interpersonal inﬂuence deﬁned by Bhattacherjee (2000).”
Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model (2010, background): “They may need to consider how to bring positive experience to their existing customers to remain their future acceptance, rather than rely on mass media only (Bhattacherjee, 2000).”
Key Factors Influencing Consumers’ Purchase of Electric Vehicles (2019, background): “Bhattacherjee divided the reference group into interpersonal influence and external influence in a study on the service of ordering e-securities online.”
A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior (2006, background): “For online shopping providers, they need to invest on Web site design as usual, though the online shopping is considered as a kind of B2C e-commerce with characteristics of fairly simple to use, widely available, and fairly inexpensive (Bhattacherjee, 2000).”
A Theoretical Integration of User Satisfaction and Technology Acceptance (2005, neutral): “이런 서비스는 기업과 소비자간(B2C) 전자상거래(예, 온라인 뱅킹 과 소매, 블로그와 커뮤니티 서비스)와 기업 간(B2B) 전자상거래(예, 온라인 조달, 결제 처리 대행과 웹사이트 호스팅)의 전 범위를 포괄한다 [7].”
Determinants of satisfaction and continuance intention towards self-service technologies (2009, methodology): “Satisfaction (SAT) The summary psychological state resulting when the emotion surrounding disconfirmed expectations is coupled with the consumer’s prior feelings about the consumption experience Bhattacherjee (2001b), Oliver (1980, 1981), Lin and Hsieh (2007) and Bhattacherjee et al.”
Analysis of users and non-users of smartphone applications (2010, background): “These social norms have been demonstrated to have an indirect impact, via PU, on people’s intention to adopt since the direct link between subjective norm and intention typically has been empirically non-significant (Bhattacherjee, 2000).”
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006, background): “…Higgins, 1995), Internet self-efficacy (Igbaria and Iivari, 1995; Eastin and LaRose, 2000; Joo et al., 2000; Hsu and Chiu, 2004a), subjective norm (Taylor and Todd, 1995a; Venkatesh and Davis, 2000; Bhattacherjee, 2000) or playfulness (Liu and Arnett, 2000; Moon and Kim, 2001; Hsu and Chiu, 2004a).”
The role of technology readiness in self‐service technology acceptance (2011, methodology): “Behavioral intention was operationalized through responses to two items based on studies of Bhattacherjee (2000)”
Understanding e-learning continuance intention in the workplace: A self-determination theory perspective (2008, background): “The influence of subjective norms has been tested on continuance intention (Bhattacherjee, 2000; Tan & Teo, 2000; Taylor & Todd, 1995a), perceived usefulness (Venkatesh & Davis, 2000), attitude (Hsu & Chiu, 2004a), and satisfaction (Hsu & Chiu, 2004b).”