Formation, Regulation, and Repair: A Dynamic Consumer Trust Mechanism in Live-Streaming E-Commerce
DOI:
https://doi.org/10.62051/nvhxh631Keywords:
The Grounded Theory; Live-streaming E-commerce; Construction of Trust Mechanisms; Consumer Behavior; Platform Economy.Abstract
With the growth of platform and live streaming technologies, e-commerce live streaming has become a key form of consumption and communication in the digital economy. By improving information visibility and interactivity, it reduces consumers' search costs, enhances decision-making efficiency, and fosters trust through bidirectional interaction. However, trust in this context is not spontaneous—it is co-constructed by multiple agents and shaped by ongoing processes rather than existing as a static outcome. This study explores how consumer trust is dynamically constructed in e-commerce live streaming from the perspectives of streamers, products, and platforms. Using a grounded theory approach, we conducted in-depth interviews with 22 users who had experience with live streaming shopping and had established trust in this transaction mode. Based on interview data, we developed a theoretical model of consumer trust mechanisms and analyzed how the three dimensions jointly influence trust orientation and subsequent purchasing behavior. Findings indicate that consumer trust is synergistically shaped by multiple factors and evolves through micro-processes of trust building, modulation, and repair. This research contributes to the understanding of dynamic trust in live streaming contexts and offers practical insights for improving user experience and supporting the sustainable development of the e-commerce ecosystem.
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[1] China International E-Commerce Center Research Institute. (2025). 2024 high-quality development report of live-streaming e-commerce. https://www.sgpjbg.com.cn/baogao/651068.html
[2] Yan, Y. J. (2025). Research on consumer trust construction mechanism in e-commerce live streaming. Modernization of Shopping Malls, 2025(20), 10–12.
[3] Li, X. L., Huang, D. H., & Dong, G. F., et al. (2023). Why consumers have impulsive purchase behavior in live streaming. Research Square. DOI: https://doi.org/10.21203/rs.3.rs-3184949/v1
[4] Jia, S. S., & Han, D. L. (2022). Influencing factors of trust in e-commerce live streaming in the digital cultural industry—A case study of college students. Journal of Wuzhou University, 32(6), 60–70.
[5] Liu, X. Y., Sun, L. Y., & Yang, Y., et al. (2025). Live streaming context and impulse buying behavior—The mediating role of trust and flow experience. Modern Marketing, 2025(6), 52–55.
[6] Zhou, L., & Fan, J. H. (2021). Shaping trust: Scenario framework and emotional logic of live streaming e-commerce. Journal of Southwest Minzu University (Humanities and Social Sciences), 42(2), 142–147.
[7] Lu, Y. Y. (2021). Research on sales conversion driven by trust of “e-commerce + live streaming”. Shanxi Agricultural Economy, 2021(7), 181–182.
[8] Simmel, G. (1990). The philosophy of money. Routledge.
[9] Deutsch, M. (1958). Trust and suspicion. Journal of Conflict Resolution, 2(4), 265–279. DOI: https://doi.org/10.1177/002200275800200401
[10] Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs: General and Applied, 1966. DOI: https://doi.org/10.1037/h0092976
[11] Arrow, K. J. (1974). The limits of organization. W. W. Norton & Company.
[12] Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.5465/amr.1995.9508080335 DOI: https://doi.org/10.2307/258792
[13] Pelsmaekers, K., Jacobs, G., & Rollo, C. (2014). Trust and discourse: Organizational perspectives. John Benjamins Publishing Company. DOI: https://doi.org/10.1075/dapsac.56
[14] Fuoli, M., & Paradis, C. (2014). A model of trust-repair discourse. Journal of Pragmatics, 74, 52–69. DOI: https://doi.org/10.1016/j.pragma.2014.09.001
[15] Wang, J. Y., & Wang, X. Y. (2021). Trust construction in e-commerce live streaming discourse—A case study of Li Jiaqi’s Double Eleven pre-sale live streaming. New Media Research, 7(21), 62–66.
[16] Fan, Y. J., & Liu, J. (2022). Bullet screen interaction, online product display and consumers’ impulsive purchase behavior—The mediating role of presence and flow experience. Journal of Harbin University of Commerce (Social Science Edition), 2022(3), 78–89.
[17] Feng, Y. Q. (2022). Analysis of influencing factors of consumer trust in e-commerce live streaming information incentives. Marketing Circle, 2022(10), 44–46.
[18] Pan, Z. W. (2022). The influence of interaction on customer trust in live streaming shopping—Based on social presence perspective. Commercial Economics Research, 2022(14), 79–82.
[19] Filho, E. J. M. A., & Oliveira, R. L. S. (2022). The mood effect in relation to impulsive online buying behavior. Journal of Consumer Behaviour, 22(1), 135–156. DOI: https://doi.org/10.1002/cb.2110
[20] Li, Y. P. (2021). Trust relationship formation and influence in live streaming commerce communication. Youth Journalist, 2021(8), 44–45.
[21] Li, L., & Zhou, Y. P. (2020). Trust in the intelligent era: Model, risk and reconstruction—Based on trust crisis in live streaming commerce. Journalism and Writing, 2020(9), 21–28.
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