Unveiling the complexity of social commerce continuance intention: a fuzzy set qualitative comparative analysis

Purpose - Comprehending the determinants influencing the sustained engagement in social commerce assumes paramount importance for its success, particularly within the context of developing countries. This study employs complexity theory to examine the antecedents of the intention toward social commerce continuance. Design/methodology/approach - A structured online survey was designed to collect data regarding four behavioural factors: satisfaction, trust, online social support, and continuance intention. The net effect of each construct was evaluated using a symmetrical modelling technique, and to identify the asymmetric effect, the fuzzy-set qualitative comparative analysis was conducted. Findings - The findings of the structural equation modelling confirmed the importance of satisfaction and online social support for continuance intention. The asymmetric analysis revealed three recipes leading to social commerce continuance intention and three combinations for its absence, contributing to understanding the complexity of online consumer decision-making. Research limitations/implications - Theoretically, this research highlights the interplay between online social support, trust, satisfaction, and s-commerce continuance intention. Gaining insights into the main factors influencing social media participants' behaviour assists business organizations and policymakers to foster the growth, and the sustainability of the s-commerce. Originality/value - Combining two distinct methodologies, the findings of this paper allow for a comprehensive exploration of the multifaceted dynamics that underlie consumer behaviour and provide actionable insights for businesses seeking to refine their strategies within the dynamic realm of social commerce. Further, the study offers a valuable roadmap for marketers and policymakers to enhance consumer relationships and augment the efficacy of social commerce initiatives.