The Influence of Customer’s Sharing Behavior in Social Commerce

All transaction behaviors between enterprises and customers directly take place on social media. Using social media for people to interact with their friends and family become a routine in the daily life. This study aims to figure out the critical factors and relations of brand community and social commerce. Meanwhile, this study is to investigate the influence on consumers’ engagement by considering the building of a brand community for social commerce. This study reviews many key literatures of social commerce and brand community. This study employs a survey base strategy to figure out the proposed research questions

Social Commerce: A Literature Review

The increasing popularity of social networking is providing new opportunities for businesses in electronic commerce. It is evolving in order to adopt Web 2.0 capabilities to support online customer interactions and achieve greater economic value. This trend is referred to as social commerce. This study offers the result of a Systematic Literature Review (SLR) to explain the concept of social commerce. In order to elaborate this article, 64 papers were considered from the main digital libraries that index computer science conferences and journals. Applying a systematic analysis to these papers, it was possible to summarize the existing evidence concerning the social commerce and outline some open challenges

The Hotspots of Social Commerce：A Literate View

Social commerce is a new economic and business model that has been rapidly risen and developed in recent years, which has aroused widespread concern in both the business and academic community. In this paper, we adopt the information visualization technology to econometrically analyze the co-citation data of the social commerce fields retrieved by Web of Science from 2005 to 2017, then explore the time and space distribution of the social commerce, and analyze the cooperation network of institutions and periodicals for the published papers in this field. At the end of the paper, we present the frontier and hot topics of social commerce based on the analysis of high-frequency keywords, co-occurrence, and the rate of burst term. We hope that it will provide constructive reference and guidance for the following related studies in the area of social commerce

Bibliometric analysis of social commerce research

Recently, social commerce has attracted the attention from both academics and practitioners and became a significant emerging research area. In this paper, bibliometric analysis has been applied to identify the characteristics and the developments of social commerce research. Based on the definition, we conduct a systematic review of social commerce research by synthesizing 1900 publications published between 2003 and 2018 in Web of Science. The 1900 publications cover 4033 authors, 724 journals, 79 countries or territories, and 1648 institutions. Furthermore,‘Computers in Human Behavior’ is the key journal publishing on social commerce research, and the USA, China and England are the countries that dominate the publication production. It can be concluded that there is much collaborative research in the social commerce domain as multi-authored publications make up the majority of all publications. In addition, three main research areas can be distinguished based on LLR (log-likelihood ratio): (1) the development trend of social commerce, (2) the relationship between customers and vendors, and (3) consumer trust in the context of social shopping. We believe that this review can provide some guidelines for future research

An Investigation into Consumers’ Continued Social Shopping Intentions

Social shopping (s-shopping), a novel online shopping model which connects consumers and leverages collaborative efforts, has achieved initial success. However, the continued usage remains a serious issue. To explore the consumers’ intentions to continually participate in s-shopping activities, we reviewed literature on sustaining IS usage and s-shopping technical designs and built a research model. To test the hypotheses, an online survey of s-shopping users was conducted in a leading Chinese social network site, Sina Weibo. The results confirmed that consumers’ perceptions of the usefulness and enjoyment of using the s-shopping system are critical predictors of their persistent usage. Moreover, informational social support from the virtual group also encourages ongoing participation in the collaborative shopping activities. In addition, personalization, social interaction and social presence support of the s-shopping system are discovered as remarkable antecedents of consumers’ usefulness, enjoyment and social support perceptions of the system. This paper fills in the research gap of s-shopping continuance and enriches s-shopping literature

What Factors Influence Customers’ Purchase Intentions in Travel-Related Social Commerce?

Social commerce significantly impacts the tourism and hospitality industry. Nonetheless, further empirical research investigating the factors that impact the purchase intentions of those who engage with travel-related social commerce. Combining the Uses and Gratification Theory (UGT) and TAM, the present study will investigate the relationships between purchases intentions and the following factors: perceived usefulness, perceived ease-of-use, entertainment, interaction and information seeking. During the research, four different models will be compared. The Ridge Model will be used to explain the effects of the aforementioned factors. The findings indicate that customers’ social commerce purchase intentions are positively impacted by all five factors

The Effects of Social Capital on Chinese Consumers’ Online Impulse Buying in Social Commerce Environment

The purpose of this study is to examine the impact of social capital including social interaction shared language and trust on Chinese consumer online impulse buying in social commerce platforms To verify the hypothesis we surveyed the Chinese customers who have buying experiences of using social commerce by snowball sampling technique After analyzing 548 valid data we confirmed that three dimensions of social capital social interaction shared language and trust positively affects both peer intrinsic motivation and peer extrinsic motivation In addition peer motivation exerts a positively impact on consumer impulse purchases on social commerce The findings not only provide a new theoretical perspective for studying consumers impulse buying behavior in theory but also have important implications for the online sellers in their follower s groups to improve online marketin

Tell me your age and I tell you what you trust: the moderating effect of generations

Purpose: The proliferation of social commerce websites has allowed consumers to share and exchange information, experiences, advice and opinions. Recently, information provided by users has been considered more trustworthy than the information shared by companies. However, the way in which users interact with technology can vary with age, and generational cohorts show different shopping behaviors, interests and attitudes. Hence, the way users process information (user-generated vs company-generated) can affect trust differently. Drawing on the trust transfer theory and the generational cohort theory, the purpose of this paper is to analyze the effects on user- and company-generated information in boosting trust of three different cohorts (Generation X, Y and Z). Design/methodology/approach: The data were collected through an online survey. The sample comprised 715 users of social commerce websites, aged between 16 and 55 years old. The study was analyzed using partial least squares with the statistical software Smart PLS 3. Findings: The empirical results show that generational cohorts show different patterns. Generation X transfers trust to social commerce websites mainly from trust in information generated by companies, while Generation Z transfers trust mainly from information generated by users. Finally, Generation Y, in contrast to previous findings about millennials, develops trust based on company-generated information to an even greater extent than does Generation X. Originality/value: The originality of this study lies in its analysis of generational differences when it comes to trusting one type of information over another. This study contributes to the idea that users cannot be considered as a whole but must be segmented into generational cohorts

Design model of technical features for a social commerce website

The shift of electronic commerce to social commerce draws tremendous opportunities for today’s retailers. Social commerce website is one of the prominent social commerce mediums that harnesses the social activities while shopping in online environment by leveraging Web 2.0 and social media. The effectiveness of a social commerce website is determined not only by the products or how well the website is marketed, but also by its rendition of technical features’ in terms of functionality (functional and non-functional). However, this particular area of social commerce is often overlooked especially when it comes to non-functional features. Under this circumstances, this study aims to analyze and propose technical features for social commerce website in terms of functionality. Based on the proposed technical features, a proposed design model is constructed. For evaluation, three different questionnaires were conducted for collecting data involving experienced social commerce users and experts on this area. The aim of the evaluation is to validate the proposed technical features and design model to ensure that they are accordance to the user’s expectation. Based on the results, all the proposed technical features were validated positively, thus, acceptable for this study. As for the design model, a slight change has been made based on the input by the experts for improvement. In having them applied as guideline while designing a social commerce website, hopefully this research will help researchers and practitioners to grasp the key elements in during the decision making