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.

Social commerce is a rapidly growing platform of e-commerce that utilises social media and online social interaction to build brand awareness and increase sales. Buying and selling through social media can create a reliable and sustainable platform for buyers and vendors, offering an alternative platform to traditional online approaches. Research on social commerce began to achieve traction in 2006 and has grown since with a significant focus from academics who have offered new insight to many of the key topics. This study seeks to offer an additional contribution to the literature by analysing the predictors of consumer adoption of social commerce from existing studies by employing a weight analysis technique. The analysis considered seven dependent variables (along with their best and worst predictors) that are most frequently examined and are relevant to consumer adoption. The review presented in this study suggests that the intention to purchase is the most frequently examined dependent variable and that trust in the social commerce context is a key factor.

Social commerce is a relatively new subset of digital commerce where buying and selling is transacted via social media interaction. This study attempts to evaluate the suitability of a number of models/theories for understanding the factors affecting consumer adoption of social commerce. This paper first highlights the limitations of alternative theories and then discusses the strengths of the selected theory. Besides the core model, two external variables (Trust and Risk) are considered for extending the selected model for gaining a more comprehensive understanding of antecedents affecting the consumer's adoption behaviour.

Social commerce is emerging as an important platform in e-commerce. It brings people to the comfort zone to buying and selling product that they cannot reach physically. The purpose of this research is to review the empirical research on social commerce published between 2012 to 2019. The paper mainly reviews the theories and models used in this area and limitations acknowledged by studies in social commerce area. The findings indicated that TAM, social support theory and S-O-R model are some of the most frequently used models. Also, use of biased sample, limited factors and cross-sectional studies are some of the most common limitations used across majority of studies.

Social commerce is a subset of e-commerce that utilises social media to facilitate interaction between sellers and consumers. Over the last number of years, the subject of social commerce has attracted significant attention from many researchers as they attempt to understand the factors affecting its adoption by consumers. A review of results from existing studies suggests inconsistent results for many relationships. Hence, this research has conducted a meta-analysis of 65 studies and synthesized the findings from existing studies in order to estimate the cumulative correlation coefficient (β) and significance (p). The investigation found that behavioural intention, trust, perceived usefulness, and social support are frequently examined dependent variables, that are strongly influenced by a number of independent variables. The findings in this study suggests that perceived usefulness, hedonic value, social commerce constructs, subjective norms, informational and emotional support are important for encouraging social commerce adoption. This research highlights various antecedents that have been theoretically examined in different social commerce studies that explore the effect size through meta-analysis.

PurposeIn recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.Design/methodology/approachDrawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.FindingsThe meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.Originality/valueThis research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.

The popularity of social media as a useful tool for socialisation and information exchange has resulted in a new type of electronic commerce known as social commerce. The rapid expansion of social media arouses the interest of many e-retailers to enlarge their company by taking advantage of social technology and services. Social commerce has gone mainstream among marketers, businesses, and scholars in recent years. Many countries, including the United Kingdom, United States, China, and South Korea, have already implemented the social shopping system. However, consumers in developing countries like Bangladesh are slower to accept social commerce. Despite the hype around this technology, no previous research specifically looked at consumer adoption of social commerce in the context of Bangladesh in a systematic manner. Given that, this research aims to “develop and empirically validate a conceptual model for understanding factors influencing consumer adoption and usage of social commerce in the context of Bangladesh”. The literature review of social commerce yielded a number of theoretical and methodological inadequacies. Therefore, this research assessed alternative models and theories in selecting the most suitable paradigm for this research. This study adapted Meta-UTAUT as a core theory to investigate consumer adoption of social commerce. For the extension of Meta-UTAUT, a further assessment was undertaken to determine appropriateness of additional constructs such as trust, social support, anxiety, grievance redressal, innovativeness, and continuous participation intention. This study collected the data (n=402) from social commerce users of Bangladesh using survey method in order to test and validate the research model. A total of twelve hypotheses were tasted using SPSS v.28. and AMOS v.28 based structural equation modelling. The results revealed that performance expectancy, effort expectancy, Innovativeness and Trust indirectly influence behavioural intention through attitude. Social influence and grievance redressal have a direct impact on behavioural intention. While facilitating conditions, social support, anxiety, and behavioural intention significantly influence usage behaviour. Finally, usage behaviour found to be a strong predictor of continuous participation intention. This research contributes to the knowledge through adoption and validation of a new consumer adoption theory and the role of anxiety and grievance redressal, which are new additions in the social commerce field.

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