The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Understanding customers' loyalty intentions towards online shopping: an integration of technology acceptance model and fairness theory
Abstract
As with any other information system (IS), the success of online shopping depends largely on customer satisfaction and other factors that will eventually increase customers' loyalty intentions. This article integrates two major variables of technology acceptance model (TAM), trust, and fairness to construct a model for investigating the motivations behind customers' loyalty intentions towards online shopping. The hypothesised model is validated empirically using data collected from 311 customers of an online shopping store. The results indicated that distributive, procedural and interactional fairness were strong predictors of trust, which in turn influenced satisfaction. Distributive fairness and interactional fairness exhibited significant positive effects on satisfaction. Perceived usefulness and satisfaction influenced loyalty intention towards online shopping. Perceived ease of use acts indirectly on loyalty intention through the mediating effect of perceived usefulness. Implications for theory and practice and future research directions are discussed.
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Cites
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Cited by
Shiau, W.-L., & Luo, M. M. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.030 · Cited by 471
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Conversational commerce: entering the next stage of AI-powered digital assistants
Balakrishnan, J., & Dwivedi, Y. K. (2024) · Annals of Operations Research · doi:10.1007/s10479-021-04049-5 · Cited by 301
Predicting the use of online information services based on a modified UTAUT model
Oh, J.-C., & Yoon, S.-J. (2014) · Behaviour & Information Technology · doi:10.1080/0144929x.2013.872187 · Cited by 157
Examining students’ intention to use ChatGPT: Does trust matter?
Rahman, M. S., Sabbir, M. M., Zhang, D. J., Moral, I. H., & Hossain, G. M. S. (2023) · Australasian Journal of Educational Technology · doi:10.14742/ajet.8956 · Cited by 111
Metadata
- Authors
- Chiu, C.-M., Lin, H.-Y., Sun, S.-Y., & Hsu, M.-H.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2009-07
- Volume
- 28
- Issue
- 4
- Pages
- 347-360
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2064444630
- Cited by
- 310
- References
- 14
- FWCI
- 24.53
- 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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