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Cited by 266

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach

Leong, Lai-Ying, Hew, Teck-Soon, Ooi, Keng-Boon, Chong, Alain Yee-Loong·2020·Journal of Business Research
DOI 10.1016/j.jbusres.2019.11.056
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Abstract

Abstract Trust is an essential concern in s-commerce. Though existing research has studied the association between trust and purchasing intention; the determinants of the formation of trust in s-commerce remain largely unexplored. This study examines the determinants of trust in s-commerce based on social presence and social support. Unlike most business research, we applied a hybrid SEM-ANN approach that can detect non-linear and non-compensatory relationships. Linear and compensatory models assume that a shortfall in one factor may be compensated by other factors. However, consumer decision-making processes are complicated and non-compensatory and linear models tend to oversimplify these processes. Criterion sampling was used to gather 462 datasets of social commerce users using a mall intercept technique. Information support has the strongest effect followed by the social presence of interaction with the sellers, income and social presence of others. The integrated model predicts 76.9% trust in s-commerce. Theoretical and managerial contributions are discussed.

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Metadata

Authors
Leong, L.-Y., Hew, T.-S., Ooi, K.-B., & Chong, A. Y.-L.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2020-03
Volume
110
Pages
24-40
ISSN
0148-2963 (ISSN-L)
DOI
10.1016/j.jbusres.2019.11.056
OpenAlex
W2999007152
Cited by
266
References
110
FWCI
33.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach. https://app.cochat.ai/papers/10.1016/j.jbusres.2019.11.056
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Leong, L.-Y., Hew, T.-S., Ooi, K.-B., & Chong, A. Y.-L. (2020). Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.11.056

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.