The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Information Technology Continuance: A Theoretic Extension and Empirical Test
Abstract
This paper proposes a theoretical extension of the information technology (IT) continuance model by linking continuance intention to behavior and elaborating the contingent factors that shape IT continuance intention and behavior. Drawing on recent findings in the cognitive psychology literature, it conceptualizes perceived behavioral control as consisting of two dimensions — IT self-efficacy and facilitating conditions — and links these two dimensions respectively to IT continuance intention and behavior. Field data from a longitudinal survey of document management system usage among administrators and staff personnel at a governmental agency in Ukraine provides empirical support for our extended model. Our study advances the emerging body of research on IT continuance by extending the theoretical boundaries of the IT continuance model, and contributes to IT acceptance and usage research by clarifying the conceptualization and effect of the PBC construct.
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Cites
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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
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Integrating Technology Addiction and Use: an Empirical Investigation of Online Auction Users1
Turel, O., Serenko, A., & Giles, P. (2011) · MIS Quarterly · doi:10.2307/41409972 · Cited by 547
A conceptual model for the process of IT innovation adoption in organizations
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Metadata
- Authors
- Bhattacherjee, A., Perols, J., & Sanford, C.
- Venue
- Journal of Computer Information Systems
- Publisher
- Informa UK Limited
- Published
- 2008-09
- Volume
- 49
- Issue
- 1
- Pages
- 17-26
- ISSN
- 0887-4417 (ISSN-L)
- 2380-2057
- OpenAlex
- W1708344693
- Cited by
- 542
- References
- 15
- FWCI
- 26.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information Technology Continuance: A Theoretic Extension and Empirical Test. Journal of Computer Information Systems. https://doi.org/10.1080/08874417.2008.11645302
Data sources
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.
