Abstract
This paper examines the Chinese live streaming industry, highlighting issues such as counterfeit advertisements and fraudulent activities due to inadequate managerial oversight. It proposes a behavior evolution game process involving platforms, consumers, and live streamers, using prospect theory and rank-dependent expected utility theory. The findings underscore a pivotal revelation: the platform can establish a system to monitor commodity quality and live broadcast content compliance using blockchain technology and big data. A live streamer credibility assessment system is envisioned and established, acting as a sentinel to ensure compliance with integrity. Additionally, the platform is equipped with a customer complaint handling system and an emotion monitoring system to capture sensitive information. These mechanisms quickly address customer complaints and anticipate consumer actions and enhance consumer regulation and prevent conflicts.
Similar content being viewed by others
Data availability
The data used to support the findings of this study are available from the corresponding author upon request.
References
Abhishek, V., Jerath, K., & Zhang, Z. J. (2016). Agency selling or reselling? Channel structures in electronic retailing. Social Science Electronic Publishing, 62(8), 2259–2280. https://doi.org/10.2139/ssrn.2013720
Bai, S., Liu, Z., & Lv, Y. (2022). Evolutionary game analysis of consumer complaint handling in E-commerce. Complexity, 19(4), 1–20. https://doi.org/10.1155/2022/3792080
Chen, C. Z., & Liu, J. (2017). Problems and system construction in the supervision of online hosts. Exploration, 23(6), 136–145. https://doi.org/10.16501/j.cnki.50-1019/d.2017.06.019
Chen, J., & Li, W. (2019). Construction and perfection of the responsibility of third-party platform providers of the online food trade in China. Biotechnology Law Report, 38(5), 294–302. https://doi.org/10.1089/blr.2019.29138.wl
Deng, J. L. (2020). Strengthening the soft constraint on live streaming. People’s Forum, 23, 60–61.
Fowler, J. H., & Christakis, N. A. (2010). Cooperative behavior cascades in human social networks. Proceedings of the National Academy of Sciences, 107(12), 5334–5338. https://doi.org/10.1073/pnas.0913149107
Fu, T. (2016). The evolutionary game research on quality control of online shopping products. Shandong University.
Fürstenau, D., Auschra, C., Klein, S., & Gersch, M. (2019). A process perspective on platform design and management: Evidence from a digital platform in health care. Electronic Markets, 29(4), 581–596. https://doi.org/10.1007/s12525-018-0323-4
Gao, B. (2019). The research on credit mechanism of E-commerce merchants. Central University of Finance and Economics.
Gu, Y. (2020). Research on the impact of E-commerce live streaming on consumer purchase decision. Price Theory and Practice, 2, 124–127. https://doi.org/10.2991/978-94-6463-024-4_87
Hensher, D. A., & Li, Z. (2012). Valuing travel time variability within a rank-dependent utility framework and an investigation of unobserved taste heterogeneity. Journal of Transport Economics & Policy, 46(2), 293–312.
Jin, S. V., & Ryu, E. (2020). I’ll buy what she’s wearing: The roles of envy toward and parasocial interaction with influencers in Instagram celebrity-based brand endorsement and social commerce. Journal of Retailing and Consumer Services, 55, 1–15. https://doi.org/10.1016/j.jretconser.2020.102121
Katz, M. L., & Shapiro, C. (1985). Network externalities, completion, and compatibility. The American Ecomonics Review, 75(3), 424–440.
Li, B., Wen, D., & Shi, X. (2015). Research on product quality control in Chinese online shopping: Based on the uncertainty mitigating factors of product quality. Total Quality Management & Business Excellence, 26(5), 602–618. https://doi.org/10.1080/14783363.2013.865917
Li, H., & Ren, X. C. (2010). Collaborative governance research from the perspective of good governance. Science and Management, 30(6), 55–58. CNKI:SUN:JXYG.0.2010-06-013.
Li, M. L. (2019). On the supervision mechanism of online live streaming platforms: A new perspective from the gatekeeper theory. Administrative Law Research, 4, 123–132.
Li, X. (2020). The responsibility allocation problem of “Internet celebrity with goods.” China Market Regulation Research, 5, 24–25. CNKI:SUN:GOGY.0.2020-05-007.
Li, Y. L., Liu, C., & Fan, N. Y. (2020). A value measurement model of network externalities on crowdfunding platforms. Journal of Management Sciences in China, 23(6), 44–58. CNKI:SUN:JCYJ.0.2020-06-005.
Liang, X., Dai, T., & Wang, W. (2022). The danger and opportunity of “live broadcast+e-commerce” marketing model. Enterprise Management, 7, 1–5. https://doi.org/10.3969/j.issn.1009-2994.2018.06.044
Liu, R., & Jing, H. (2018). The co-governance model of live streaming governance: An angle based on policy network analysis. Chinese Journal of Journalism & Communication, 25, 33–49.
Liu, S. Z. (2020). Thoughts on the legal nature of internet celebrity “live streaming.” China Market Regulation Research, 5, 21–23.
Mei, A., & Hou, Z. (2021). Standardized governance of e-commerce live broadcasting in “live broadcasting+.” E-Government, 3, 1–10.
Meng, L., Liu, F. J., & Chen, S. Y. (2020). Can I arouse you-study on the influence mechanism of different types of live internet celebrity information source characteristics on consumers’ purchase intention. Nankai Management Review, 23(1), 131–143. CNKI:SUN:LKGP.0.2020-01-013.
Meng, X. (2022). Supervision strategy analysis on price discrimination of e-commerce company in the context of big data based on four-party evolutionary game. Complexity, 18(5), 1–18. https://doi.org/10.1155/2022/2900286
Meng, Y. (2020). Research on the regulation of commercial propaganda behavior of hosts in live streaming. People’s Forum, 25, 116–119.
Pan, X. Q. (2021). The development status and governance mechanism of online live streaming E-commerce in China-based on the statistical analysis of 2020 Kuaishou live streaming data. Academic Exchange, 6, 100–109.
Puaschunder, J. M. (2017). Ethical decision making under social uncertainty: An introduction to berethicality. Sustainable Production and Consumption, 12, 78–89. https://doi.org/10.1016/j.spc.2017.5.005
Quiggin, J. (1991). Comparative statics for rank-dependent expected utility theory. Journal of Risk and Uncertainty, 4(4), 339–350. https://doi.org/10.1007/BF00056160
Rochet, J., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 4(1), 990–1029. https://doi.org/10.1162/154247603322493212
Song, L. L., & Huang, Y. Z. (2020). “Change” and “constant”: Inspection and exploration of problems in E-commerce live streaming supervision. Henan Social Sciences, 28(12), 106–114.
Starmer, C. (2002). Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk. Journal of Economic Literature, 38(2), 332–382. https://doi.org/10.1257/jel.38.2.332
Tan, J., & Zhao, X. (2022). Firms’ technological strategies in an innovation ecosystem: A dynamic inter-cation between leading firms and following firms based on evolutionary game theory and multi-agent simulation. Journal of Management Sciences in China, 25(5), 13–28. https://doi.org/10.19920/j.cnki.jmsc.2022.05
Tversky, A., & Kahneman, D. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
Wang, J. B., & Wu, Y. C. (2021). Innovative mechanism of live streaming E-commerce governance from the perspective of symbiosis. Modernization of Management, 5, 44–46. https://doi.org/10.19634/j.cnki.11-1403/c.2021.05.011
Wang, X., & Lin, M. (2022). The governance mechanisms construction of “roll-over” events in live streaming e-commerce. Business Management Journal, 44(2), 1–14.
Wen, D., Yan, D., Sun, X., & Chen, X. (2021). Evolutionary game analysis of online shopping quality control: The roles of risk attitude and government supervision. Complexity, 18, 1–18. https://doi.org/10.1155/2021/5531076
Wen, Y., & Wang, Y. (2022). Optimal service contract design for E-commerce platforms under cost information asymmetry of dual-channel manufacturers. China Management Science, 30(5), 248–262.
Wu, Y., & Geylani, T. (2020). Regulating deceptive advertising: False claims and skeptical consumers. Marketing Science, 39(4), 788–806. https://doi.org/10.1287/mksc.2020.1221
Xie, S. (2007). Economics game. Fudan University Press.
Xu, X. D. (2018). The development status, governance landscape and countermeasures of online live broadcasting in China. Jinan Journal (Philosophy and Social Sciences Edition), 40(3), 70–81. https://doi.org/10.3969/j.issn.1000-5072.2018.03.006
Xu, X., & Hu, Y. (2022). Analysis of the factors of flopped live-streaming e-commerce and research on compensation strategies for consumers’ emotion. China Business & Trade, 12, 1–4. https://doi.org/10.19699/j.cnki.issn2096-0298.2022.12.030
Yang, Z. J. (2010). Research on multi-center collaborative governance model: Based on three content investigations. Journal of Nanjing Municipal Party School of CPC, 15(3), 42–49. CNKI:SUN:ZGNB.0.2010-03-009.
You, C. (2020). Law and policy of platform economy in China. Computer Law & Security Review, 39, 1–10. https://doi.org/10.1016/j.clsr.2020.105493
Yu, J., & Wei, C. H. (2015). Multi-subject collaborative governance: The logical path of state governance modernization. Seeking Truth, 21(4), 63–69. https://doi.org/10.3969/j.issn.1007-8487.2015.04.009
Zeng, Y., & He, F. (2017). Feature analysis and government countermeasures of live video streaming in China. Research on Library Science, 6, 57–60. CNKI:SUN:TSSS.0.2017-06-009.
Zhang, M. (2023). Evolutionary game theory brings new developments in social behavior research. China Social Sciences Journal, 8, 1–4.
Zhang, T. (2017). On the government regulation mechanism of live network performance in China. Administration and Law, 5, 12–21. https://doi.org/10.3969/j.issn.1007-8207.2017.05.003
Zhang, Y. H., Lu, S., & Liu, B. (2012). Factors affecting information quality in user information interaction process. Information Theory and Practice, 35(6), 12–15. CNKI:SUN:QBLL.0.2012-06-004.
Zhang, Y. R., & Yan, X. T. (2021). On the new marketing model of “E-commerce + live streaming.” Academic Exchange, 4, 100–110. https://doi.org/10.3969/j.issn.1000-8284.2021.04.010
Zhao, D. Z., Hao, J. Q., & Yang, J. (2020). Evolutionary game analysis of three parties in sharing economy considering platform network externality. Control and Decision, 35(7), 1741–1750. https://doi.org/10.13195/j.kzyjc.2018.1296
Zheng, L. N. (2022). Mobile live broadcasting empowers traditional media client strategy analysis - Taking “people’s daily” mobile live broadcasting platform “people’s live” as an example. News Communication, 1, 1–2.
Zheng, S., Su, D., Wang, S., & Shang, W. (2020). Research on revenue sharing mode of live broadcast reward. Systems Engineering-Theory & Practice, 40(5), 1221–1228. https://doi.org/10.12011/1000-6788-2018-2200-08
Funding
This research is supported by the Key Program of the National Social Science Fund of China (Grant No. 20AGL019), Zhejiang Provincial Natural Science Foundation of China (Grant No. LY22G010004), as well as Zhejiang Gongshang University “digital +” discipline construction key project (Grant No. SZJ2022B019).
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible Editor: Samuel Fosso Wamba
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Fan, J., Peng, L., Chen, T. et al. Regulation strategy for behavioral integrity of live streamers: From the perspective of the platform based on evolutionary game in China. Electron Markets 34, 21 (2024). https://doi.org/10.1007/s12525-024-00698-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12525-024-00698-z
Keywords
- Platform perspective
- Live streamer’s integrity
- Evolutionary game
- Prospect theory
- Rank-dependent expected utility theory