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The influences of expressive and instrumental social ties in social commerce: integrating dyadic views from buyers and sellers.

Authors :
Li, Xixi
Li, Zhijie
Wang, Qian
Guo, Xunhua
Source :
Information Technology & People; 2024, Vol. 37 Issue 1, p251-284, 34p
Publication Year :
2024

Abstract

Purpose: Entrepreneurs and individual sellers heavily leverage their social ties embedded in social media, expressive or instrumental, to penetrate the market and achieve business success. However, the extant social commerce literature offers limited understanding on how different forms of buyer−seller social ties embedded in social media affect buyers' purchase behaviors. The study draws on the theoretical lens of social ties and proposes an integrative theoretical framework to understand the direct and indirect influences of expressive and instrumental ties (ExTSM and InTSM) between buyers and sellers on buyers' purchase intention (PI) in social commerce. Design/methodology/approach: The authors first validated the measures of ExTSM and InTSM with survey data from 166 Weibo commerce buyers. They then tested their theoretical framework and hypotheses with survey data from 246 buyer−seller dyads in WeChat commerce. Findings: With a buyer-centric view, (1) ExTSM and InTSM, respectively, had a direct negative and a positive influence on PI; (2) both trust and perceived product value displayed inconsistent mediation effects on the negative relationship between ExTSM and PI; and (3) only perceived product value mediated the positive influence of InTSM on PI. From sellers' viewpoint, (1) their ExTSM and InTSM with buyers were mixed up, and (2) the mingled social ties negatively impacted buyers' purchase intention. Originality/value: The findings of the study advance the theoretical understanding of social commerce and offer practical guidance for small and medium-sized enterprises to effectively utilize social media for business purposes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09593845
Volume :
37
Issue :
1
Database :
Complementary Index
Journal :
Information Technology & People
Publication Type :
Academic Journal
Accession number :
174631796
Full Text :
https://doi.org/10.1108/ITP-11-2021-0875