The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Toward a unified theory of consumer acceptance technology
Abstract
In the last few decades, scholars and practitioners have increasingly tried to understand the factors that influence technology acceptance. Theories and models developed by scholars have tended to focus on the role of cognition and have rarely included affect. The few studies that have incorporated affect have tended to measure a single emotion rather than modeling it comprehensively. This research addresses that inadequacy in our understanding of technology adoption by merging two previously unrelated models: TAM (the Technology Acceptance Model) and PAD (the Pleasure, Arousal, and Dominance paradigm of affect). This study also examines an enhanced view of cognition. The product of this unified theoretical framework is referred to as the Consumer Acceptance of Technology (CAT) model. The results of a test using structural equation modeling provide empirical support for the model. Overall, the CAT model explains over 50% of the variance in consumer adoption intentions, a considerable increase compared to TAM. These findings suggest that substantial improvement in the prediction of technology adoption decisions is possible by use of this model with its integration of affect and cognition. © 2007 Wiley Periodicals, Inc.
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology · doi:10.2307/2072165 · Cited by 17,442
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,277
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
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Broadbent, E., Stafford, R., & MacDonald, B. (2009) · International Journal of Social Robotics · doi:10.1007/s12369-009-0030-6 · Cited by 887
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Metadata
- Authors
- Kulviwat, S., Bruner II, G. C., Kumar, A., Nasco, S. A., & Clark, T.
- Venue
- Psychology & Marketing
- Publisher
- Wiley
- Published
- 2007-11-07
- Volume
- 24
- Issue
- 12
- Pages
- 1059-1084
- ISSN
- 0742-6046 (ISSN-L)
- 1520-6793
- OpenAlex
- W2138672357
- Cited by
- 486
- References
- 65
- FWCI
- 17.32
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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