The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation1
Abstract
Employees’ underutilization of new information systems undermines organizations’ efforts to gain benefits from such systems. The two main predictors of individual-level system use in prior research—behavioral intention and facilitating conditions—have limitations that we discuss. We introduce behavioral expectation as a predictor that addresses some of the key limitations and provides a better understanding of system use. System use is examined in terms of three key conceptualizations: duration, frequency, and intensity. We develop a model that employs behavioral intention, facilitating conditions, and behavioral expectation as predictors of the three conceptualizations of system use. We argue that each of these three determinants play different roles in predicting each of the three conceptualizations of system use. We test the proposed model in the context of a longitudinal field study of 321 users of a new information system. The model explains 65 percent, 60 percent, and 60 percent of the variance in duration, frequency, and intensity of system use respectively. We offer theoretical and practical implications for our findings.
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Cites
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Self-citationFrom Intentions to Actions: A Theory of Planned Behavior
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Cited by
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
University of Arkansas, Venkatesh, V., Thong, J., Hong Kong University of Science and Technology, Xu, X., & The Hong Kong Polytechnic University (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00428 · Cited by 2,513
Self-citationBenitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020) · Information & Management · doi:10.1016/j.im.2019.05.003 · Cited by 1,788
The unified theory of acceptance and use of technology (UTAUT): a literature review
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015) · Journal of Enterprise Information Management · doi:10.1108/jeim-09-2014-0088 · Cited by 1,339
The benefits and dangers of enjoyment with social networking websites
Turel, O., & Serenko, A. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.1 · Cited by 684
Sykes, T. A., Venkatesh, V., & Gosain, S. (2009) · MIS Quarterly · doi:10.2307/20650296 · Cited by 522
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Metadata
- Authors
- Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2008-09-01
- Volume
- 32
- Issue
- 3
- Pages
- 483-502
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2095863122
- Cited by
- 856
- References
- 24
- FWCI
- 84.78
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.