The process of benefit exchange between consumers and sellers: Applying social exchange theory in the context of livestreaming commerce
DOI:
https://doi.org/10.24311/jabes/2025.36.5.05Keywords:
Benefits for consumers, Benefits for streamers, Macromotives, Social exchange theory, Live-streaming commerceAbstract
Drawing on Social Exchange Theory, this study contributes to the understanding of the relationship between perceived value, trust, and consumer behavior in the context of livestreaming commerce (LS). Specifically, utilitarian value and hedonic value are conceptualized as benefits that consumers receive, which in turn influence their trust in the product and trust in the streamer, serving as a macromotive that drives purchase intention and continued viewing intention ‒ representing the benefits consumers reciprocate to streamers. Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS version 4 was employed on a sample of 628 consumers to test the proposed hypotheses. The results indicate that all hypotheses are supported by the data. Accordingly, the study not only offers deeper insights into the value–trust–behavior relationship in the LS context but also provides several managerial implications to enhance purchase and continuous watching intention.
References
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.
Blau, P. M. (1964). Exchange and Power in Social Life. New York: Wiley, Inc.
Chen, C. D., Zhao, Q., & Wang, J. L. (2022). How livestreaming increases product sales: Role of trust transfer and elaboration likelihood model. Behaviour & Information Technology, 41(4), 558-573
Fu, J. R., & Hsu, C. W. (2023). Live-streaming shopping: The impacts of para-social interaction and local presence on impulse buying through shopping value. Industrial Management & Data Systems, 123(7), 1861-1886.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
Guenzi, P., & Georges, L. (2010). Interpersonal trust in commercial relationships. European Journal of Marketing, 44(1-2), 114-138.
Guo, L., Hu, X., Lu, J., & Ma, L. (2021). Effects of customer trust on engagement in live streaming commerce: Mediating role of swift guanxi. Internet Research, 31(5), 1718-1744.
Hansen, M. H., Morrow Jr, J. L., & Batista, J. C. (2002). The impact of trust on cooperative membership retention, performance, and satisfaction: An exploratory study. The International Food and Agribusiness Management Review, 5(1), 41-59.
Hao, S., & Chen, H. (2025). Streamers and viewers in live-streaming e-commerce:A social learning perspective. Management Decision. doi: 10.1108/md-10-2023-1978
Hou, F., Guan, Z., Li, B., & Chong, A. Y. L. (2020). Factors influencing people’s continuous watching intention and consumption intention in live streaming: Evidence from China. Internet Research, 30(1), 141-163.
Johnson, D., & Grayson, K. (2005). Cognitive and affective trust in service relationships. Journal of Business research, 58(4), 500-507.
Kang, K., Lu, J., Guo, L., & Li, W. (2021). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Information Management, 56, 102251. doi: 10.1016/j.ijinfomgt.2020.102251
Khoi, N. H., & Le, A. N. H. (2023). Real-time interactivity and impulsive buying in livestreaming commerce: The focal intermediary role of inspiration. International Journal of Human-Computer Interaction, 40(11), 2938-2953.
Khoi, N. H., Le, A. N. H., & Nguyen Dong, P. (2023). A moderating – mediating model of the urge to buy impulsively in social commerce live-streaming. Electronic Commerce Research and Applications, 60, 101286. doi: 10.1016/j.elerap.2023.101286
Konovsky, M. A., & Pugh, S. D. (1994). Citizenship behavior and social exchange. Academy of Management Journal, 37(3), 656-669.
Lai, P., Aw, E. C.-X., & Tan, G. W. H. (2024). Empowerment to commitment: How live-streaming atmosphere and relational bonds drive impulse consumption?. Journal of Research in Interactive Marketing, 19(4), 549-570. doi: 10.1108/jrim-03-2024-0131
Liu, Z., Li, J., Wang, X., & Guo, Y. (2023). How search and evaluation cues influence consumers’ continuous watching and purchase intentions: An investigation of live-stream shopping from an information foraging perspective. Journal of Business Research, 168, 114233. doi: 10.1016/j.jbusres.2023.114233
Lo, P. S., Dwivedi, Y. K., Wei-Han Tan, G., Ooi, K. B., Cheng-Xi Aw, E., & Metri, B. (2022). Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis. Journal of Business Research, 147, 325-337.
Luo, X., Cheah, J. H., Lim, X. J., Ramayah, T., & Dwivedi, Y. K. (2025). Inducing shoppers’ impulsive buying tendency in live-streaming: Integrating signaling theory with social exchange theory. Internet Research, 35(1), 318-348.
Nguyễn Thị Mỹ Thanh, & Nguyễn Hữu Khôi. (2024). Nghiên cứu mối quan hệ giữa giá trị cảm nhận và thái độ tới ý định sử dụng thương mại phát trực tiếp của người tiêu dùng tại Khánh Hòa. Tạp chí Khoa học Thương mại, 190, 18-37.
Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021). Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction. Expert Systems with Applications, 168, 114241. doi: 10.1016/j.eswa.2020.114241
Vietnam Law and Legal Forum. (2024). Livestream shopping booms but yet to be strictly managed. Truy cập từ https://vietnamlawmagazine.vn/livestream-shopping-booms-but-yet-to-be-strictly-managed-72059.html
Wang, B., Xie, F., Kandampully, J., & Wang, J. (2022). Increase hedonic products purchase intention through livestreaming: The mediating effects of mental imagery quality and customer trust. Journal of Retailing and Consumer Services, 69, 103109. doi: 10.1016/j.jretconser.2022.103109
Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543-556.
Xiong, J., Wang, Y., & Li, Z. (2023). Understanding the relationship between it affordance and consumers’ purchase intention in e-commerce live streaming: The moderating effect of gender. International Journal of Human–Computer Interaction, 40(20), 6303-6313.
Yahia, I. B., Al-Neama, N., & Kerbache, L. (2018). Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage. Journal of Retailing and Consumer Services, 41, 11-19.
Yin, Y., Bai, B., & Xu, S. (2025). The role of social community in influencing purchase intention in live-streaming E-commerce: A social learning theory perspective. Marketing Intelligence & Planning, 43(5): 934-951.. doi: 10.1108/mip-03-2024-0141
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.
Zhang, M., Liu, Y., Wang, Y., & Zhao, L. (2022). How to retain customers: Understanding the role of trust in live streaming commerce with a socio-technical perspective. Computers in Human Behavior, 127, 107052 . doi: 10.1016/j.chb.2021.107052
Zhang, M., Sun, L., Qin, F., & Wang, G. A. (2020). E-service quality on live streaming platforms: Swift guanxi perspective. Journal of Services Marketing, 35(3), 312-324.
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