The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Predicting electronic service continuance with a decomposed theory of planned behaviour
Abstract
Previous research suggests that an eventual information technology (IT) success depends on both its initial adoption (acceptance) and subsequent continued usage (continuance). Theory of planned behaviour (TPB) has been successfully used to predict users' acceptance of IT. Yet, this theory has not been applied to the context of continuance of IT. This paper examines post-adoption cognitive beliefs and factors influencing one's intention to continue using (continuance) electronic services (e-services). Decomposed theory of planned behaviour (DTPB) is adapted from social psychology and integrated with theoretical and empirical findings from prior information systems (IS) usage research to theorize a model of e-service continuance. Specifically, the research model decomposes the perceived behavioural control components of TPB into Internet self-efficacy and perceived controllability, the subjective norm component into social influences and interpersonal influence, and the attitude component into perceived usefulness, perceived playfulness, and perceived risk. Nine research hypotheses derived from this model are empirically validated using a field survey of Web-based tax filing service users. The results suggest that users' continuance intention is determined by Internet self-efficacy and satisfaction. Satisfaction, in turn, is jointly determined by interpersonal influence, perceived usefulness, and perceived playfulness.
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Cites
The theory of planned behavior
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Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Perceived Behavioral Control, Self‐Efficacy, Locus of Control, and the Theory of Planned Behavior 1
Ajzen, I. (2002) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2002.tb00236.x · Cited by 7,629
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
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Cited by
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.01.003 · Cited by 1,399
Self-citationRoca, J. C., & Gagné, M. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.06.001 · Cited by 732
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research
Hong, W., Chan, F. K. Y., Thong, J. Y. L., Chasalow, L. C., & Dhillon, G. (2014) · Information Systems Research · doi:10.1287/isre.2013.0501 · Cited by 609
Hsu, M.-H., Yen, C.-H., Chiu, C.-M., & Chang, C.-M. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.04.004 · Cited by 490
Self-citationPredicting consumer intentions to shop online: An empirical test of competing theories
Lin, H.-F. (2007) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.02.002 · Cited by 435
Metadata
- Authors
- Hsu, M.-H., & Chiu, C.-M.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2004-09
- Volume
- 23
- Issue
- 5
- Pages
- 359-373
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2059074227
- Cited by
- 412
- References
- 14
- FWCI
- 14.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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.