Please wait a minute...
文章检索
复杂系统与复杂性科学  2024, Vol. 21 Issue (4): 99-106    DOI: 10.13306/j.1672-3813.2024.04.015
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
网络平台就业治理的三方演化博弈研究
彭伟华1,2, 侯仁勇1
1.武汉理工大学管理学院,武汉 430070;
2.济南大学商学院,济南 250022
On the Tripartite Evolution Game of Network Platform Employment Governance
PENG Weihua1,2, HOU Renyong1
1. School of Management, Wuhan University of Technology, Wuhan 430070, China;
2. School of Business, University of Ji′nan, Ji′nan 250022, China
全文: PDF(4720 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 为探究网络平台就业治理各参与主体行为策略选择演化机制,选取平台企业、劳动者和政府作为三方参与主体,基于演化博弈理论构建网络平台就业治理的三方演化博弈模型,分析各参与主体行为演化路径,并进行数值模拟仿真,得出博弈三方行为策略选择的主要影响因素有自身利润、政府惩罚力度、社会声誉,提出网络平台就业治理的针对性建议。表明建立新就业形态平台企业自律体系、劳动者就业生态体系和政府服务体系是网络平台就业协同治理的有效途径。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
彭伟华
侯仁勇
关键词 网络平台就业新就业形态演化博弈模拟仿真    
Abstract:In order to explore the evolution mechanism of each participant’s behavior strategy selection on network platform employment governance, a tripartite evolution game model of "platform enterprise-laborer-government" is proposed based on evolution theory. This paper analyzes the main influence factors of each participant’s behavior strategy selection which include their own profits, government punishment and social reputation. And some suggestions on network platform employment governance are put forward. The effective way of network platform employment cooperative governance can be concluded as building platform enterprise self-regulation system, laborer employment ecosystem system and government service system under the new forms of employment.
Key wordsnetwork platform employment    new forms of employment    evolutionary game    simulation
收稿日期: 2023-01-02      出版日期: 2025-01-03
ZTFLH:  F246  
  F224.32  
基金资助:国家社会科学基金重点项目(19AGL026)
通讯作者: 侯仁勇(1970-),男,四川广安人,博士,教授,主要研究方向为区域创新管理。   
作者简介: 彭伟华(1980-),女,山东菏泽人,博士研究生,讲师,主要研究方向为创新创业管理。
引用本文:   
彭伟华, 侯仁勇. 网络平台就业治理的三方演化博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(4): 99-106.
PENG Weihua, HOU Renyong. On the Tripartite Evolution Game of Network Platform Employment Governance[J]. Complex Systems and Complexity Science, 2024, 21(4): 99-106.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2024.04.015      或      https://fzkx.qdu.edu.cn/CN/Y2024/V21/I4/99
[1] 胡磊.我国网络平台就业的特点、发展瓶颈与制度支持[J].中国劳动,2018(2):12-18.
HU L. The characteristics, development bottleneck and institutional support of China′s network platform employment[J]. China Labor,2018(2):12-18.
[2] 姜超.网络平台灵活就业人员工伤保险制度构建问题探究[J].黑龙江人力资源和社会保障,2022(14):36-38.
JIANG C. Research on the construction of industrial injury insurance system for flexible employment personnel on the network platform[J]. Human Resources and Social Security,2022(14):36-38.
[3] 纪雯雯,赖德胜.网络平台就业对劳动关系的影响机制与实践分析[J].中国劳动关系学院学报,2016,30(4):6-16.
JI W W,LAI D S. Influence mechanisms and practical analysis of employment in the network platform to industrial relations[J]. Journal of China Institute of Industrial Relations,2016,30(4):6-16.
[4] 彭伟华,侯仁勇.新就业形态下网络平台就业协同治理研究[J].理论学刊,2022(5):145-153.
PENG W H,HOU R Y. Research on collaborative employment governance of network platform under new employment form[J].Theory Journal,2022(5):145-153.
[5] 黄再胜.网络平台劳动的合约特征、实践挑战与治理路径[J].外国经济与管理,2019,41(7):99-111,136.
HUANG Z S. Contractual features of online platform labor, practical challenges and governance approaches[J].Foreign Economics & Management,2019,41(7):99-111,136.
[6] 李攀艺,胡丹,曹奥臣,等.网络平台用工行为的三方演化博弈分析[DB/OL].[2021-08-03]. http://kns.cnki.net/Kcms/detail/50.1205.T.20210802.1628.004.html.
LI P Y,HU D,CAO A C, et al. Analysis of tripartite evolution game of employment behavior of network platform[DB/OL]. [2021-08-03]. http://kns.cnki.net/Kcms/detail/50.1205.T.20210802.1628.004.html.
[7] 李光红.高质量就业的动态评价与协同治理[M].北京:中国经济出版社,2020.
[8] 李玉,吴斌,王超.基于前景理论的众包物流配送方行为决策演化博弈分析——基于发货方视角[J].运筹与管理,2019, 28(6): 129-135.
LI Y, WU B, WANG C. Evolution game analysis of decisions of the crowdsourcing logistics shippers based on prospect theory-from the view of consumers[J]. Operations Research and Management Science,2019,28(6):129-135.
[9] 綦良群,吴佳莹.中介机构作用下多主体服务化行为决策研究——基于演化博弈[J].计算机集成制造系统,2023,29(5):1768-1780.
QI L Q,WU J Y. Multi-agent service-oriented behavioral decision-making under the action of intermediary agencies-Based on evolutionary game[J].Computer Integrated Manufacturing Systems, 2023,29(5):1768-1780.
[10] 肖琴,罗帆.基于复杂网络的通用航空安全监管演化博弈研究[J].复杂系统与复杂性科学,2022,19(3):33-43.
XIAO Q, LUO F. Study on evolutionary game of general aviation safety supervision based on complex network[J]. Complex System and Complexity Science,2022,19(3): 33-43.
[11] 苏屹,魏仕鹏.基于三方博弈的绿色技术创新演化研究[J].运筹与管理,2022,31(6):40-47.
SU Y,WEI S P. Evolution of green technology innovation based on the tripartite game[J]. Operations Research and Management Science,2022,31(6):40-47.
[12] 邱均平,徐中阳,陈锡慧.基于三方演化博弈的在线健康社区用户隐私披露行为研究[J].情报理论与实践, 2023,46(1):24-36.
QIU J P,XU Z Y,CHEN X H. Research on user privacy disclosure behavior in online health communities based on tripartite evolutionary game[J]. Information Studies: Theory & Application, 2023,46(1):24-36.
[13] 王丛漫,马骞.家政企业诚信监管的三方演化博弈及仿真分析[J].经济与管理,2021,35(2):84-92.
WANG C M,MA Q. A tripartite evolutionary game and simulation analysis of integrity supervision of home economics enterprises[J]. Economy and Management,2021,35(2):84-92.
[14] 李春发,曹颖颖,王聪,等.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 C F,CAO Y Y,WANG C, et al. Evolutionary game simulation of tripartite strategy in e-commerce live streaming under platform regulation[J]. Complex Systems and Complexity Science,2022,19(1):34-44.
[15] 应梵,翟云岭.网络平台用工关系中的合同性质认定研究[J].现代经济探讨,2020(12):126-132.
YING F,ZHAI Y L. Research on the nature of contract in the employment relations of network platform[J]. Modern Economic Research,2020(12):126-132.
[16] 付淑换,石岿然.网约车行业监管困境的演化博弈分析及优化对策[J].经济问题,2019(12):8-15,51.
FU S H,SHI K R. Evolutionary game analysis of regulatory dilemma in online car-hailing and optimizing policy[J]. On Economic Problems,2019(12):8-15,51.
[17] 董成惠.零工劳动对传统劳动关系的解构以及应对措施[J].湖南社会科学,2020(5):100-111.
DONG C H. The deconstruction and countermeasures of traditional labor relations of gig labor[J]. Social Sciences in Hunan, 2020(5):100-111.
[18] LOZANO M, RENTERÍA E. Work in transition: labour market life expectancy and years spent in precarious employment in spain 1986—2016[J]. Social Indicators Research,2019, 145(2):185-200.
[19] 周晓阳,李长长,刘莹,等.工业互联网平台、开发商与企业的三方协作演化策略——兼论政府补贴和收益共享的作用[J].中国管理科学, 2024,32(1):276-287.
ZHOU X Y,LI Z Z,LIU Y et al. Tripartite cooperation evolutionary strategy of industrial Internet platform, developer and enterprise-The role of government subsidies and revenue sharing[J].Chinese Journal of Management Science, 2024,32(1):276-287.
[20] 彭伟华,侯仁勇,李光红.基于演化博弈的网络平台就业多元协同治理研究[J].复杂系统与复杂性科学,2022,19(2):9-16,30.
PENG W H,HOU R Y,LI G H. Research on multiple cooperative governance of network platform employment based on evolutionary game[J].Complex System and Complexity Science, 2022, 19(2):9-16,30.
[21] RITZBERGER K, WEIBULL J W. Evolutionary selection in normal-form games[J]. Econometrica, 1995,63(6):1371-1399.
[22] FRIEDMAN D. A simple testable model of double auction markets[J].Journal of Economic Behavior and Organization, 1991, 15(1):47-70.
[23] 张娟,耿弘,张钦,等.网络消费市场信用缺失治理之演化博弈分析[J].北京理工大学学报(社会科学版),2018,20(4):64-71.
ZHANG J,GENG H,ZHANG Q, et al. The evolution game analysis on lacking credibility of the network consumer market[J].Journal of Beijing Institute of Technology(Social Sciences Edition),2018,20(4):64-71.
[24] 祝凌瑶,周丽,柳虎威.数字经济时代政府数据质量管理的演化博弈分析[J].运筹与管理,2022,31(9):21-27.
ZHU L Y,ZHOU L,LIU H W. Evolutionary game analysis of government data quality management in digital economy era[J]. Operations Research and Management Science,2022,31(9):21-27.
[1] 许海娟, 叶春明, 李芳. 碳减排成本分担下的供应链运营决策分析[J]. 复杂系统与复杂性科学, 2024, 21(4): 81-90.
[2] 刘举胜, 李超然, 朱洁训, 邱志萍, 王梓懿. 公共体育场馆协同治理研究:基于演化博弈分析框架[J]. 复杂系统与复杂性科学, 2024, 21(3): 108-119.
[3] 戴守晨, 曲大义, 孟奕名, 杨玉凤, 王其坤. 交通流频变路段智能网联车辆换道演化博弈机制[J]. 复杂系统与复杂性科学, 2024, 21(3): 128-135.
[4] 韩普, 叶东宇, 顾亮. 奖惩机制下社区垃圾分类行为演化博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(3): 120-127.
[5] 杨国忠, 周午阳. 基于供应链视角的企业协同生态创新演化博弈[J]. 复杂系统与复杂性科学, 2024, 21(2): 120-128.
[6] 王建华, 郝婷婷, 林超英, 朱敏. 政府监管机制下港口企业的社会责任履行研究[J]. 复杂系统与复杂性科学, 2024, 21(2): 147-153.
[7] 孙威威, 张峥. 基于复杂网络的电动汽车创新扩散博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(2): 45-51.
[8] 谢振雨, 万安霞. 药品安全治理演化博弈及策略研究[J]. 复杂系统与复杂性科学, 2024, 21(2): 129-136.
[9] 宋美, 王振源, 葛玉辉, 刘举胜. 混合所有制企业高管团队动态合作行为演化博弈分析[J]. 复杂系统与复杂性科学, 2024, 21(1): 85-91.
[10] 谢逢洁, 姚欣, 王思一. 高阶结构对无标度网络上合作行为演化的影响[J]. 复杂系统与复杂性科学, 2024, 21(1): 12-19.
[11] 李春发, 俎晓彤, 田盖地. 价格竞争、保鲜努力与农产品电商冷链物流模式演化[J]. 复杂系统与复杂性科学, 2024, 21(1): 100-108.
[12] 吕洋, 刘忠轶, 张振源, 刘溪溪. 小餐饮商户接入食品安全溯源体系策略博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(1): 145-151.
[13] 陈陶, 冯文刚. 基于演化博弈的民航安检有效性提升研究[J]. 复杂系统与复杂性科学, 2023, 20(4): 77-84.
[14] 姜凤珍, 史晓妮. 社区建成环境改造中居民情绪传染机制及治理研究[J]. 复杂系统与复杂性科学, 2023, 20(4): 98-106.
[15] 袁亮, 祁煜智, 何伟军, 李闻钦, 吴霞. 跨国界河流水资源冲突演化博弈模拟研究[J]. 复杂系统与复杂性科学, 2023, 20(3): 90-96.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed