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复杂系统与复杂性科学  2022, Vol. 19 Issue (1): 34-44    DOI: 10.13306/j.1672-3813.2022.01.005
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平台规制下直播电商三方策略演化博弈与仿真
李春发1, 曹颖颖1, 王聪1, 郝琳娜2
1.天津理工大学管理学院,天津 300384;
2.聊城大学商学院,山东 聊城 252000
Evolutionary Game Simulation of Tripartite Strategy in E-commerce Live Streaming Under Platform Regulation
LI Chunfa1, CAO Yingying1, WANG Cong1, HAO Linna2
1. School of Management, Tianjin University of Technology, Tianjin 300384, China;
2. School of Business, University of Liaocheng, Liaocheng 252000, China
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摘要 平台规制策略优化是确保直播电商中供应商、主播行为合规合法的关键,针对供应商、直播平台、主播的利益联系、行为策略和博弈关系,构建三者行为策略演化博弈模型,揭示平台规制下直播电商三方行为策略演化规律,并运用Netlogo仿真模拟策略演化过程。研究表明:平台适当的惩罚与约束力度,有助于规范供应商、主播行为;平台较高补贴能激励供应商、主播规范行为,但牺牲自身利益,系统难趋向稳定;违规收益因子是影响供应商供品策略、主播行为抉择的重要因素。据此,提出规范供应商、主播行为的基本策略和具体措施。
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李春发
曹颖颖
王聪
郝琳娜
关键词 直播电商违规直播平台监管演化博弈多主体建模仿真    
Abstract:The optimization of platform regulation strategy is the key to ensure the compliance and legality of suppliers and anchors in live broadcast e-commerce. Aiming at the interest relationship, behavior strategy and game relationship of suppliers, live broadcasting platform and anchor, this paper constructs the behavior strategy evolution game model of the three, reveals the behavior strategy evolution law of live broadcasting e-commerce under the platform regulation, and uses Netlogo to simulate the strategy evolution process. The research shows that the appropriate punishment and restraint of the platform is helpful to standardize the behavior of suppliers and anchors; Higher platform subsidies can encourage suppliers and anchors to standardize their behavior, but at the expense of their own interests, the system is difficult to stabilize; The illegal income factor is an important factor affecting the supplier's supply strategy and anchor behavior choice. Accordingly, the basic strategies and specific measures to standardize the behavior of suppliers and anchors are put forward.
Key wordse-commerce live streaming    illegal live streaming    platform supervision    evolutionary game    multi-agent based modeling and simulation
收稿日期: 2021-01-20      出版日期: 2022-02-21
ZTFLH:  F274  
基金资助:国家自然科学基金(71902077);教育部人文社会科学研究项目(19YJC630049)
通讯作者: 曹颖颖(1997-),女,安徽阜阳人,硕士研究生,主要研究方向为商业生态系统优化与决策。   
作者简介: 李春发(1968-),男,湖南郴洲人,博士,教授,主要研究方向为系统优化与决策。
引用本文:   
李春发, 曹颖颖, 王聪, 郝琳娜. 平台规制下直播电商三方策略演化博弈与仿真[J]. 复杂系统与复杂性科学, 2022, 19(1): 34-44.
LI Chunfa, CAO Yingying, WANG Cong, HAO Linna. Evolutionary Game Simulation of Tripartite Strategy in E-commerce Live Streaming Under Platform Regulation. Complex Systems and Complexity Science, 2022, 19(1): 34-44.
链接本文:  
http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2022.01.005      或      http://fzkx.qdu.edu.cn/CN/Y2022/V19/I1/34
[1] 徐德英,韩伯棠.电商模式下区域创新绩效及空间溢出效应研究[J].科研管理,2016, 37(11):107-118.
XU D Y, HAN B T. A study of the spatial spillover effect and regional innovation performance under e-commerce modes[J]. Science Research Management, 2016, 37(11):107-118.
[2] 刘凤军,孟陆,陈斯允,等.网红直播对消费者购买意愿的影响及其机制研究[J].管理学报,2020, 17(1):94-104.
LIU F J, MENG L, CHEN S Y, et al. The impact of network celebrities' information source characteristics on purchase intention[J]. Chinese Journal of Management, 2020, 17(1):94-104.
[3] 裴学亮,邓辉梅.基于淘宝直播的电子商务平台直播电商价值共创行为过程研究[J].管理学报,2020, 17(11):1632-1641,1696.
PEI X L, DENG H M. The process of value co-creation behavior about online live shopping in e-commerce platform based on the Taobao live shopping[J]. Chinese Journal of Management, 2020, 17(11):1632-1641,1696.
[4] ZHAO Q, CHEN C, CHENG H, et al. Determinants of live streamers' continuance broadcasting intentions on Twitch: a self-determination theory perspective[J]. Telematics and Informatics, 2018, 35(7): 406-420.
[5] 龚潇潇,叶作亮,吴玉萍,等.直播场景氛围线索对消费者冲动消费意愿的影响机制研究[J].管理学报,2019, 16(6):875-882.
GONG X X, YE Z L, WU Y P, et al. Research on the influencing mechanism of atmosphere clue on impulse purchase intention in live streaming context[J]. Chinese Journal of Management, 2019, 16(6):875-882.
[6] 范小军,蒋欣羽,倪蓉蓉,等.移动视频直播的互动性对持续使用意愿的影响[J].系统管理学报,2020, 29(1):106-108.
FAN X J, JANG X Y, NI R R, et al. Influence of interactivity of mobile live-video broadcast on intention of continuous use of users[J]. Journal of Systems & Management, 2020, 29(1):106-108.
[7] 邵鹏,胡平. 电子商务平台商业模式创新与演变的案例研究[J]. 科研管理,2016,37(7): 81-88.
SHAO P, HU P. A case study of business model innovation and evolution of the e- commerce platform[J]. Science Research Management, 2016,37(7): 81-88.
[8] 文悦,王勇,士明军. 网络平台销售模式中的需求信息共享策略与博弈结构决策研究[J]. 系统工程理论与实践,2019,39(6): 1449-1468.
WEN Y, WANG Y, SHI M J. The research on demand information sharing strategy and game structure decision in online platform selling model[J]. Systems Engineering-Theory & Practice, 2019, 39(6): 1449-1468.
[9] LIU Z X, YANG J, LING L. Exploring the influence of live streaming in mobile commerce on adoption intention from a social presence perspective[J]. International Journal of Mobile Human Computer Interaction, 2020, 12(2): 53-71.
[10] 李杰,张睿,徐勇.电商平台监管与商家售假演化博弈[J].系统工程学报,2018, 33(5):649-661.
LI J, ZHANG R, XU Y. Evolutionary game between E-commerce platform supervision and merchants selling fakes[J]. Journal of Systems Engineering, 2018, 33(5):649-661.
[11] 赵菊,刘龙,王艳,等. 基于电商平台的供应商竞争和模式选择研究[J]. 系统工程理论与实践,2019,39(8): 2058-2069.
ZHAO J, LIU L, WANG Y, et al. Research on competition and mode selection of suppliers based on e-commerce platform[J]. Systems Engineering-Theory & Practice, 2019,39(8): 2058-2069.
[12] WONG A, NUTTAPOL A. The role of live streaming in building consumer trust and engagement with social commerce sellers[J]. Journal of Business Research, 2018, 17(1): 543-556.
[13] JANJEVIC M, WINKENBARCH M. Characterizing urban last-mile distribution strategies in mature and emerging e-commerce markets[J]. Transportation Research Part A, 2020,13(7): 164-196.
[14] SUN Y, SHAO X, LI X T, et al. What live streaming influences purchase intentions in social commerce: an IT affordance perspective[J]. Electronic Commerce Research and Applications, 2020, 34(12): 1101-1108.
[15] HU M, ZHANG M L, WANG Y. Why do audiences choose to keep watching on live video streaming platforms? an explanation of dual identification framework[J]. Computers in Human Behavior, 2017, 75(2): 594-606.
[16] 李杰,张睿,徐勇.虚假口碑信息控制演化博弈研究[J].复杂系统与复杂性科学,2018, 15(3):39-46.
LI J, ZHANG R, XU Y. The evolutionary game theoretic study on the control of false word-of-mouth information[J]. Complex Systems and Complexity Science, 2018, 15(3):39-46.
[17] WONG A, DEHOUCHE A. Live streaming commerce from the sellers' perspective: implications for online relationship marketing[J]. Journal of Marketing Management, 2020, 36(5): 488-518.
[18] 杨丰梅,王安瑛,吴军,等.电商平台信用信息共享策略演化[J].系统工程学报,2017, 32(5):596-603.
YANG F M, WANG A Y, WU J, et al. Evolutionary dynamics of E-commerce platform's credit information sharing strategy[J]. Journal of Systems Engineering, 2017, 32(5):596-603.
[19] 慕静,毛金月.供应链网络道德风险演化与仿真研究[J].运筹与管理,2013, 22(4):68-76.
MU J, MAO J Y. A study on evolution and simulation of moral hazard in supply chain networks[J]. Operations Research and Management Science, 2013, 22(4):68-76.
[20] 李亚兵,张家瑞.网络直播治理策略的演化博弈——基于利益相关者视角[J].经济与管理,2020, 34(2):25-31.
LI Y B, ZHANG J R. Evolutionary game of webcast governance strategy: stakeholder perspective[J]. Economy and Management, 2020, 34(2):25-31.
[21] 彭晓薇.政府监管网络直播的对策研究[D].南京:南京航空航天大学,2018.
PENG X W. Research on the government's countermeasures for the supervision of live webcast[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2018.
[22] 薛鹏,俞琦.主播侵权下直播平台监管责任及法律规定[J].法制与社会,2018(19):227-228.
XUE P, YU Q. Supervision responsibility and legal provisions of live broadcast platform under anchor infringement[J]. Legal System and Society, 2018(19):227-228.
[23] 李婧祎. 网络直播监管问题研究[D]. 北京:北京邮电大学,2019.
LI J Y. Research on supervision of webcast[D]. Beijing: Beijing University of Posts and Telecommunications,2019.
[24] 郑森圭,苏丹华,汪寿阳,等.直播平台打赏收入分成模式研究[J].系统工程理论与实践,2020, 40(5):1221-1228.
ZHENG S G, SU D H, WANG S Y, et al. Research on reward income sharing model of live streaming platforms[J]. Systems Engineering-Theory & Practice, 2020, 40(5): 1221-1228.
[25] 张丽,王向向,李佳鑫.电商生态系统中核心种群间信用机制的动态演化博弈[J].运筹与管理,2020, 29(4):93-101.
ZHANG L, WANG X X, LI J X. Dynamic evolutionary game of credit mechanism among core populations in E-commerce ecosystem[J]. Operations Research and Management Science, 2020, 29(4):93-101.
[26] 杨丰梅,王安瑛,吴军,等.基于博弈论的C2B2C模式下电商信用监管机制研究[J].系统工程理论与实践,2017, 37(8):2102-2110.
YANG F M, WANG A Y, WU J, et al. Designing credit supervision mechanism in C2B2C e-commerce based on game theory[J]. Systems Engineering-Theory & Practice, 2017, 37(8): 2102-2110.
[27] 徐鲲,丁慧平,鲍新中.电商双边市场供应链融资的合作机制构建与溢出价值分配[J].系统管理学报,2017, 26(5):897-905.
XU K, DING H P, BAO X Z. Cooperation mechanism for supply chain financing in two-sided market and spillover value distribution[J]. Journal of Systems & Management, 2017, 26(5):897-905.
[28] ARINGHIERI R, DUMA D, FRAGNELL V. Modeling the rational behavior of individuals on an e-commerce system[J]. Operations Research Perspectives, 2018, 16(5):22-31.
[29] 刘佳,邹韵婕,刘泽溪.基于SEM模型的电商直播中消费者购买意愿影响因素分析[J].统计与决策,2021, 37(7): 94-97.
LIU J, ZOU Y J, LIU Z X. Analysis of factors influencing consumers' purchase intention in e-commerce live broadcast based on SEM model[J]. Statistics & Decision, 2021, 37(7): 94-97.
[30] HYUN J P, LI M L. The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement[J]. Journal of Retailing and Consumer Services, 2020, 17(1): 4-11.
[31] LIU D H, XIAO X Z, LI H Y, et al. Historical evolution and benefit-cost explanation of periodical fluctuation in coal mine safety supervision: an evolutionary game analysis framework[J]. European Journal of Operational Research, 2015, 243(3): 974-984.
[32] 汪旭辉,任晓雪.基于演化博弈的平台电商信用监管机制研究[J].系统工程理论与实践,2020, 40(10): 2617-2630.
WANG X H, REN X X. Research on credit supervision mechanism of e-commerce platform based on evolutionary game[J]. Systems Engineering-Theory & Practice, 2020, 40(10): 2617-2630.
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