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A meta-analytic structural equation model for understanding social commerce adoption
Dwivedi, Y.K. Ismagilova, Elvira Sarker, P. Jeyaraj, A. Jadil, Y. Hughes, L.
Dwivedi, Y.K.
Ismagilova, Elvira
Sarker, P.
Jeyaraj, A.
Jadil, Y.
Hughes, L.
Publication Date
2023
End of Embargo
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Rights
(c) The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
04/07/2021
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Abstract
Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over
the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within
s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust,
social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral
intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural
equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the
structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust
and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention
influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research
and practice are discussed in detail.
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Published version
Citation
Dwivedi YK, Ismagilova E, Sarker P et al (2023) A meta-analytic structural equation model for understanding social commerce adoption. Information Systems Frontiers. 25: 1421-1437.
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Article