Social Commerce and the Recent Changes

Special Issue Editors

School of Management, Swansea University, Wales SA2 8PP, UK
Interests: social commerce; social media; e-commerce; online community; big data analytics; AI

E-Mail Website
Co-Guest Editor
Ted Rogers School of Information Technology Management, Ryerson University, Toronto, ON M5B 2K3, Canada
Interests: ICT4D; ICT sustainability; big data analytics, IS security & privacy, AI and machine learning
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Special Issue Information

Dear Colleagues,

Social commerce is a new subset of e-commerce with the aim of social media (Hajli, 2019). The defining feature of social commerce systems is their 'forum for consumer-to-consumer communication.' The afforded social interaction is the key differentiator between social commerce and traditional e-commerce (Hajli, 2015). Online communities, forums, ratings, reviews and recommendations as social commerce constructs (Hajli, 2015) have transformed e-commerce activities and given rise to the social commerce channel (Hajli & Sims, 2015). It also created good opportunities for firms (Hajli, 2015; Tajvidi, Richard, Wang, & Hajli, 2018; Tajvidi, Wang, Hajli, & Love, 2017). An emergent social commerce consumer-to-consumer business e-commerce channel is sharing commerce. Exemplars of sharing commerce include couch surfing or the house swapping phenomenon, where lodging is shared for mutual gain.

Especially in the current COVID-19 era where 'couch shopping' is prevalent, and consumers crave more social interaction, research into the information-sharing capabilities of social commerce systems has increased in importance. In the current era, consumers support each other online by sharing their information and knowledge about products and services (Hajli, 2014a; Hajli, Shanmugam, Papagiannidis, Zahay, & Richard, 2017). The consumer-to-consumer social support found in social commerce platforms improves the shopping process, adding value for both businesses and consumers (Hajli, 2020; Hajli & Featherman, 2017; Hajli, Sims, Zadeh, & Richard, 2017). However, there are some challenges to e-commerce, such as trust (Hajli, 2014b; Hajli, Lin, Featherman, & Wang, 2014), privacy (Hajli, Shirazi, Tajvidi, & Huda, 2020), information credibility (Hajli, 2018) and ethical issues (Nadeem, Juntunen, Hajli, & Tajvidi, 2019; Nadeem, Juntunen, Shirazi, & Hajli, 2020) which persuade scholars to look to find the solutions for them.  

The above argument persuaded us to develop this Special Issue to invite papers, both theoretical and empirical, addressing the above and related topics as given in the list below. Indicative themes of relevance to this issue include (but are not limited to) the following:

  • What is social commerce?
  • What are the new changes in social commerce and e-commerce?
  • The new e-commerce features and capabilities
  • The best practices that large e-commerce vendors leverage
  • The new hybrid shopping experiences that smaller retailers may need to design to create new shopping experiences built around consumer safety and convenience
  • Consumer perspectives on new shopping experiences and research into new shopping models and modes
  • E-commerce, social commerce, and sharing commerce: what are the links?
  • Using e-commerce and social commerce for branding
  • How do big data analytics support social commerce activities?
  • How can social commerce support big data analytics?

References:

Hajli, N. (2014a). The role of social support on relationship quality and social commerce. Technological Forecasting and Social Change, 87, 17-27.

Hajli, N. (2014b). A study of the impact of social media on consumers. International Journal of Market Research, 56(3), 387-404.

Hajli, N. (2015). Social commerce constructs and consumer's intention to buy. International Journal of Information Management, 35(2), 183-191.

Hajli, N. (2018). Ethical environment in the online communities by information credibility: a social media perspective. Journal of Business Ethics, 149(4), 799-810.

Hajli, N. (2019). The impact of positive valence and negative valence on social commerce purchase intention. Information Technology & People.

Hajli, N. (2020). Social commerce and the future of e-commerce. Computers in Human Behavior, 108, 106133. doi:https://doi.org/10.1016/j.chb.2019.09.009

Hajli, N., & Featherman, M. S. (2017). Social commerce and new development in e-commerce technologies. International Journal of Information Management, 37(3), 177-178. doi:https://doi.org/10.1016/j.ijinfomgt.2017.03.001

Hajli, N., Lin, X., Featherman, M., & Wang, Y. (2014). Social word of mouth: How trust develops in the market. International Journal of Market Research, 56(5), 673-689.

Hajli, N., Shanmugam, M., Papagiannidis, S., Zahay, D., & Richard, M.-O. (2017). Branding co-creation with members of online brand communities. Journal of Business Research, 70, 136-144.

Hajli, N., Shirazi, F., Tajvidi, M., & Huda, N. (2020). Towards an Understanding of Privacy Management Architecture in Big Data: An Experimental Research. British Journal of Management.

Hajli, N., & Sims, J. (2015). Social commerce: The transfer of power from sellers to buyers. Technological Forecasting and Social Change, 94 (Supplement C), 350-358. doi:https://doi.org/10.1016/j.techfore.2015.01.012

Hajli, N., Sims, J., Zadeh, A. H., & Richard, M.-O. (2017). A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research, 71, 133-141.

Nadeem, W., Juntunen, M., Hajli, N., & Tajvidi, M. (2019). The role of ethical perceptions in consumers' participation and value co-creation on sharing economy platforms. Journal of Business Ethics, 1-21.

Nadeem, W., Juntunen, M., Shirazi, F., & Hajli, N. (2020). Consumers' value co-creation in sharing economy: The role of social support, consumers' ethical perceptions and relationship quality. Technological Forecasting and Social Change, 151, 119786.

Tajvidi, M., Richard, M.-O., Wang, Y., & Hajli, N. (2018). Brand co-creation through social commerce information sharing: The role of social media. Journal of Business Research.

Tajvidi, M., Wang, Y., Hajli, N., & Love, P. E. (2017). Brand value Co-creation in social commerce: The role of interactivity, social support, and relationship quality. Computers in Human Behavior, 105238.

Dr. Nick Hajli
Dr. Farid Shirazi
Guest Editors

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Keywords

  • social commerce
  • social media
  • e-commerce
  • online communities
  • branding
  • big data
  • consumer behaviour

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Published Papers (5 papers)

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Research

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19 pages, 4071 KiB  
Article
Understanding Antecedents That Affect Customer Evaluations of Head-Mounted Display VR Devices through Text Mining and Deep Neural Network
by Yunho Maeng, Choong C. Lee and Haejung Yun
J. Theor. Appl. Electron. Commer. Res. 2023, 18(3), 1238-1256; https://doi.org/10.3390/jtaer18030063 - 10 Jul 2023
Cited by 2 | Viewed by 1787
Abstract
Although the market for Head-Mounted Display Virtual Reality (HMD VR) devices has been growing along with the metaverse trend, the product has not been as widespread as initially expected. As each user has different purposes for use and prefers different features, various factors [...] Read more.
Although the market for Head-Mounted Display Virtual Reality (HMD VR) devices has been growing along with the metaverse trend, the product has not been as widespread as initially expected. As each user has different purposes for use and prefers different features, various factors are expected to influence customer evaluations. Therefore, the present study aims to: (1) analyze customer reviews of hands-on HMD VR devices, provided with new user experience (UX), using text mining, and artificial neural network techniques; (2) comprehensively examine variables that affect user evaluations of VR devices; and (3) suggest major implications for the future development of VR devices. The research procedure consisted of four steps. First, customer reviews on HMD VR devices were collected from Amazon.com. Second, candidate variables were selected based on a literature review, and sentiment scores were extracted. Third, variables were determined through topic modeling, in-depth interviews, and a review of previous studies. Fourth, an artificial neural network analysis was performed by setting customer evaluation as a dependent variable, and the influence of each variable was checked through feature importance. The results indicate that feature importance can be derived from variables, and actionable implications can be identified, unlike in general sentiment analysis. Full article
(This article belongs to the Special Issue Social Commerce and the Recent Changes)
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19 pages, 834 KiB  
Article
The Growth of Social Commerce: How It Is Affected by Users’ Privacy Concerns
by Ibrahim Mutambik, John Lee, Abdullah Almuqrin, Justin Zuopeng Zhang and Abdullah Homadi
J. Theor. Appl. Electron. Commer. Res. 2023, 18(1), 725-743; https://doi.org/10.3390/jtaer18010037 - 22 Mar 2023
Cited by 18 | Viewed by 4062
Abstract
Over recent years, social commerce has evolved into a powerful segment of e-commerce, creating new opportunities for brands of all types and sizes. However, if social commerce is to continue to grow and deliver the many benefits it promises, it must address a [...] Read more.
Over recent years, social commerce has evolved into a powerful segment of e-commerce, creating new opportunities for brands of all types and sizes. However, if social commerce is to continue to grow and deliver the many benefits it promises, it must address a number of key challenges, including privacy, trust, and ethical concerns. This paper explores the extent to which privacy issues affect the attitudes and behaviours of social media platform (SMP) users towards social commerce, and investigates whether these attitudes and behaviours are a function of cultural context. The approach adopted for the research is a two-stage method, which initially uses semi-structured interviews of social-commerce users to identify their key privacy concerns. These concerns are then used to develop, using the theory of reasoned action (TRA), a structural model that facilitates the formation of hypotheses which relate users’ attitudes to privacy to subsequent behaviour. This model is assessed by analysing the responses to a questionnaire from a large sample of participants. This allows us to evaluate the general accuracy of the model and to compare culturally distinct subgroups (Saudi vs. Chinese) using partial least-squares analysis. Results show good support for all of our hypotheses and indicate that there are clear cultural effects. One of these effects is the inadequacy of privacy policies implemented by SMP providers, regarding culturally specific ethical concerns. Full article
(This article belongs to the Special Issue Social Commerce and the Recent Changes)
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20 pages, 914 KiB  
Article
Explore the Feeling of Presence and Purchase Intention in Livestream Shopping: A Flow-Based Model
by Jielin Yin, Yinghua Huang and Zhenzhong Ma
J. Theor. Appl. Electron. Commer. Res. 2023, 18(1), 237-256; https://doi.org/10.3390/jtaer18010013 - 30 Jan 2023
Cited by 18 | Viewed by 7718
Abstract
Livestream shopping has attracted great attention in an increasingly digitalized society. This study is to explore the mechanism through which social presence and physical presence affect consumer purchase intentions in livestream shopping as an emerging e-commerce model. Based on the flow theory, this [...] Read more.
Livestream shopping has attracted great attention in an increasingly digitalized society. This study is to explore the mechanism through which social presence and physical presence affect consumer purchase intentions in livestream shopping as an emerging e-commerce model. Based on the flow theory, this study proposes an integrated model to explain the mechanism through which the feeling of presence affects consumers’ purchase intentions in livestream shopping. Empirical data on livestream shopping were collected in China to test the proposed model for an exploratory study. The results show that the feeling of physical presence influences consumers’ purchase intentions through concentration and perceived control, and the feeling of social presence influences consumers’ purchase intentions through concentration and enjoyment, and, thus, both social presence and physical presence are important elements in livestream shopping. This study provides a better understanding on the mechanism of how the feeling of presence helps improve purchase intentions in livestream shopping. This study shows both physical presence and social presence are positively related to consumers’ purchase intention, but with different paths, and, thus, sheds new lights on the feeling of presence and its impact on consumer behaviors in e-commerce. Full article
(This article belongs to the Special Issue Social Commerce and the Recent Changes)
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18 pages, 778 KiB  
Article
Investigating the Impact of Situational Influences and Social Support on Social Commerce during the COVID-19 Pandemic
by Saleh Bazi, Hadeel Haddad, Amjad H. Al-Amad, Daniel Rees and Nick Hajli
J. Theor. Appl. Electron. Commer. Res. 2022, 17(1), 104-121; https://doi.org/10.3390/jtaer17010006 - 2 Jan 2022
Cited by 23 | Viewed by 7443
Abstract
Without question, 2020 was an unprecedented period for all businesses and consumers in the world, especially for social commerce businesses. Growing online shopping during the pandemic has proliferated the appetite of social commerce websites. Drawing on the situational influences’ theory and social support [...] Read more.
Without question, 2020 was an unprecedented period for all businesses and consumers in the world, especially for social commerce businesses. Growing online shopping during the pandemic has proliferated the appetite of social commerce websites. Drawing on the situational influences’ theory and social support theory, the purpose of this study was to investigate the impact of situational influences during the COVID-19 pandemic on online purchase intention across the big five personality traits. The data were collected via online survey. The sample consisted of 349 social commerce website users in the UK. The model was tested using Partial Least Squares-Structured Equation Modelling (PLS-SEM). The results showed the different cohorts of buying intention on social commerce websites. Social support does not impact online purchase intention, while other situational factors do. Moreover, the model varied across the big five personality traits. The study substantially contributes to social commerce by investigating the social support and situational influences across different types of personality traits on online purchase intention during the pandemic. Full article
(This article belongs to the Special Issue Social Commerce and the Recent Changes)
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Review

Jump to: Research

18 pages, 1069 KiB  
Review
Social Commerce in Europe: A Literature Review and Implications for Researchers, Practitioners, and Policymakers
by Alexandrina Maria Păuceanu, Sebastian Văduva and Amalia Cristina Nedelcuț
J. Theor. Appl. Electron. Commer. Res. 2023, 18(3), 1283-1300; https://doi.org/10.3390/jtaer18030065 - 20 Jul 2023
Cited by 2 | Viewed by 3083
Abstract
The COVID-19 pandemic has altered consumer behavior, making social commerce a viable alternative throughout the world. Europe is trailing the US and China in adopting this technology, but the prognosis is encouraging. Our goal is to contribute to this process by offering a [...] Read more.
The COVID-19 pandemic has altered consumer behavior, making social commerce a viable alternative throughout the world. Europe is trailing the US and China in adopting this technology, but the prognosis is encouraging. Our goal is to contribute to this process by offering a literature review on social commerce in Europe for researchers, practitioners, and policymakers. We analyzed 4.764 articles published during the 2015–2023 period on the topic of social commerce in Europe utilizing the PRISMA flow diagram. After scrutinizing this large body of literature with various instruments including artificial intelligence (AI), we identified a final list of 45 articles that are most pertinent to our research questions. The emerging themes were that social media is shaping behavior and triggering buying intentions, that trust is paramount in buying impulses and behavior, and that success in social commerce is predicated upon relationships and engagement. Full article
(This article belongs to the Special Issue Social Commerce and the Recent Changes)
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