A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption
Yogesh Kumar Dwivedia b✉, Elvira Ismagilovac, Prianka Sarkera, Anand Jeyarajd, Yassine Jadile, Laurie Hughesa
- aEmerging Markets Research Centre (EMaRC), School of Management, Swansea University, Bay Campus, Fabian Bay, Swansea, Wales, SA1 8EN, UK
- bSymbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune, India
- cSchool of Management, University of Bradford, Richmond Rd, Bradford, BD7 1DP, UK
- dRaj Soin College of Business, Wright State University, 3640 Colonel Glenn Highway, Dayton, OH, 45435, USA
- eCasablanca, Morocco
- ✉Corresponding author
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Abstract
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.
TL;DRThe research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings and highlights that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. (Semantic Scholar)