Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology
By V. Venkatesh, James Y. L. Thong, Xin Xu. MIS Q., 2012
14,774 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/512dd3c7e1b55786e6f918bd0411ff744bb4cf62
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
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Kuttimani Tamilmani
- Ali Tarhini
- Samuel Fosso Wamba
- Michael D. Williams
- Keng-Boon Ooi
In Management Science and Operations Research
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Kuttimani Tamilmani
- Sheshadri Chatterjee
- Isabel Maria Macedo
- Artur Strzelecki
- Michael D. Williams
In Sociology and Political Science
- Nripendra P. Rana
- Ali Abdallah Alalwan
- Yogesh Kumar Dwivedi
- Kuttimani Tamilmani
- Keng-Boon Ooi
- Michael D. Williams
- V. Venkatesh
- Ali Tarhini
Citations in the corpus
- A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, positive): “Similarly, Venkatesh et al. (2012) incorporated three context-specific factors—i.e., hedonic motivation, price value, and habit—into UTAUT as predictors of behavioral intention and use behavior in the consumer context.”
- Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage (2018, methodology): “Second, it tests the influence of trust and the platform perceived usage (using the Unified Technology Acceptance and Use of Technology Model 2) on social commerce intent.”
- Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust (2015, methodology): “However, the current study adopted the proposition of Venkatesh et al. (2012) which suggested a positive relationship between HT and both BI and actual usage behaviour.”
- A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, background): “UTAUT2, which follows from UTAUT1, suggests that an individual’s behavioral intention to use information technology is influenced by three additional constructs in addition to the original UTAUT, i.e., hedonic motivation, price value and habit4 (Venkatesh, Thong, and Xu 2012, 161).”