The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Identifying and Testing the Inhibitors of Technology Usage Intentions
Abstract
An important area of information systems (IS) research has been the identification of the individual-level beliefs that enable technology acceptance such as the usefulness, reliability, and flexibility of a system. This study posits the existence of additional beliefs that inhibit usage intentions and thus foster technology rejection rather than acceptance. We theorize that these inhibitors are more than just the antipoles of enablers (e.g., the opposite of usefulness or reliability) and so are distinct constructs worthy of their own investigation. Inhibitors are proposed to have effects on usage intentions beyond that of enablers as well as effects on enablers themselves. We report on a series of empirical studies designed to test the existence and effects of inhibitors. A candidate set of six inhibitors is shown to be distinct from enablers. These inhibitors are subsequently tested in a field study of 387 individuals nested within 32 different websites. Effects at both individual and website unit levels of analysis are tested using multilevel modeling. We find that inhibitors have negative effects on usage intentions, as well as on enablers, and these effects vary contingent upon individual or website unit levels of analysis. The overall results support the existence and importance of inhibitors in explaining individual intent to use—or not use—technology.
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Cited by
Online Learning: Adoption, Continuance, and Learning Outcome—A Review of Literature
Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.05.005 · Cited by 607
Aafjes-van Doorn, K., Békés, V., & Prout, T. A. (2021) · Counselling Psychology Quarterly · doi:10.1080/09515070.2020.1773404 · Cited by 161
A trust-risk perspective on social commerce use: an examination of the biasing role of habit
Farivar, S., Turel, O., & Yuan, Y. (2017) · Internet Research · doi:10.1108/intr-06-2016-0175 · Cited by 169
Ye, T., Xue, J., He, M., Gu, J., Lin, H., Xu, B., & Cheng, Y. (2019) · Journal of Medical Internet Research · doi:10.2196/14316 · Cited by 141
A stigma power perspective on digital government service avoidance
Pethig, F., Kroenung, J., & Noeltner, M. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2020.101545 · Cited by 23
Metadata
- Authors
- Cenfetelli, R. T., & Schwarz, A.
- Venue
- Information Systems Research
- Published
- 2011-12
- Volume
- 22
- Issue
- 4
- Pages
- 808-823
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2018467585
- Cited by
- 303
- References
- 22
- FWCI
- 18.39
- 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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