The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Understanding Post-Adoption Behavior in the Context of Online Services
Abstract
This paper examines post-adoption behavior (continued adoption versus discontinuance) within the context of online service use. Innovation diffusion theory is used as a theoretical framework to extend information technology adoption research to the case of post-adoption behavior. This theory is used to formulate 11 research hypotheses distinguishing discontinuers from continuing adopters and exploring reasons behind their discontinuance (replacement versus disenchantment). These hypotheses were then empirically tested using data collected from a field survey of online service users. Our results indicate that potential discontinuers can be discriminated from continued adopters based on their sources of influence (external and interpersonal), perceived service attributes (usefulness and compatibility), service utilization, and network externality (complementary product usage), during their time of initial adoption. We also found that later adopters are more likely to discontinue due to disenchantment than replacement, and are more influenced by interpersonal sources and utilize the service less during their adoption period than replacement discontinuers. Implications for research and practice are drawn.
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Citations
Cites
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Innovativeness: The Concept and Its Measurement
Midgley, D. F., & Dowling, G. R. (1978) · Journal of Consumer Research · doi:10.1086/208701 · Cited by 1,550 · cited 1×
“We employ theoretical insights from this theory to explore the nature and causation of post-adoption behavior.”
Method
Cited by
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Self-citationAn empirical analysis of the antecedents of electronic commerce service continuance
Bhattacherjee, A. (2001) · Decision Support Systems · doi:10.1016/s0167-9236(01)00111-7 · Cited by 1,441
Self-citationA Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research
Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006) · Journal of Information Technology · doi:10.1057/palgrave.jit.2000056 · Cited by 1,136
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact1
Xiao, B., & Benbasat, I. (2007) · MIS Quarterly · doi:10.2307/25148784 · Cited by 1,081
Inexperience and experience with online stores: the importance of TAM and trust
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2003.817277 · Cited by 965
Metadata
- Authors
- Parthasarathy, M., & Bhattacherjee, A.
- Venue
- Information Systems Research
- Published
- 1998-12
- Volume
- 9
- Issue
- 4
- Pages
- 362-379
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W1984588326
- Cited by
- 571
- References
- 2
- FWCI
- 20.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- Parthasarathy, M., & Bhattacherjee, A. (1998). Understanding Post-Adoption Behavior in the Context of Online Services. Information Systems Research. https://doi.org/10.1287/isre.9.4.362
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
