User Acceptance of Information Technology: Toward a Unified View
By V. Venkatesh, Michael G. Morris, Gordon B. Davis, Fred D. Davis. MIS Q., 2003
44,502 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/f444aecb9a6cc1219d6baf81c55f23dfce3d9788
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
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- V. Venkatesh
- Ali Abdallah Alalwan
- Tao Zhou
- James Y. L. Thong
- Michael D. Williams
- Marko Sarstedt
In Organizational Behavior and Human Resource Management
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Tao Zhou
- Marko Sarstedt
- Christian M. Ringle
- Ali Abdallah Alalwan
- Michael D. Williams
- V. Venkatesh
In Sociology and Political Science
- Yogesh Kumar Dwivedi
- Nripendra P. Rana
- Ali Abdallah Alalwan
- V. Venkatesh
- Tao Zhou
- James Y. L. Thong
- Michael D. Williams
- Izak Benbasat
Citations in the corpus
- Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA (2023, neutral): “Performance expectancy is “ the degree to which an individual believes that using the system will help him or her to attain gains in job performance ” (Venkatesh et al., 2003, p. 447).”
- Online Teaching and Learning in Higher Education during the Coronavirus Pandemic: Students’ Perspective (2020, background): “The model provides information and explains the relations behind the features of a system, the way people behave while using it, and the attitude that people may have towards using the system—which is influenced by perceived usefulness and ease of use [30].”
- The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective (2010, background): “For instance, one could examine the effect of perceived novelty as it applies to more recent TAM models such as UTAUT (Venkatesh et al., 2003) and TAM3 (Venkatesh & Bala, 2008).”
- Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020, background): “, degree to which the individual believes to be in possession of the resources to use the technology) (Venkatesh et al., 2003).”
- The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, methodology): “The natural and obvious reason for this would be the greater level of maturity of TAM compared to UTAUT, however, some nine years after the appearance of the original UTAUT article by Venkatesh et al. (2003), and despite a fast growing and substantial number of citations, the number of studies publi”
- Adoption of e-government services in Turkey (2017, methodology): “%) in behavioral intention where previous models' variance were approximately 40%(Al-Shafi & Weerakkody, 2009; Venkatesh et al., 2003). and it has been argued to serve “as a benchmark for the acceptance literature” and to explain user acceptance in a more complete and realistic fashion than…”
- Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT) (2016, methodology): “The fourth construct, enabling conditions, specifically precedes use behavior (Venkatesh et al., 2003).”
- The imperative of influencing citizen attitude toward e-government adoption and use (2015, background): “This empirical evidence contradicts with the assertion made in prior research which argues that the inclusion of attitude is not meaningful (Davis et al., 1989; Taylor & Todd, 1995; Venkatesh & Davis, 2000; Venkatesh et al., 2003).”
- The importance of perceived trust, security and privacy in online trading systems (2009, background): “Many studies of user acceptance have validated the model empirically (Mathieson, 1991; Taylor and Todd, 1995; Venkatesh, 2000; Venkatesh, Davis, 1996, 2000; Venkatesh and Brown, 2001; Venkatesh et al., 2003).”
- The effects of perceived risk and technology type on users' acceptance of technologies (2008, background): “Venkatesh et al. [26] compared and tested the variables in eight different models about users' technology acceptance including the technology acceptance model (TAM) [6] and diffusion of innovation (DOI) [22].”
- Measurement of Digital Literacy Among Older Adults: Systematic Review (2020, background): “9497 [57] 15 7-point Likert questions Interview (face-toface) O X O O O Unified Theory of Acceptance and Usage of Technology (UTAUT)”
- What Do Systems Users Have to Fear? Using Fear Appeals to Engender Threats and Fear that Motivate Protective Security Behaviors (2015, methodology): “Study 1 measures To test the hypothesized relationships, measures were adopted from the literature and modified to assess the constructs described in the research model (Milne et al. 2002; Venkatesh et al. 2003).”