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复杂系统与复杂性科学  2019, Vol. 16 Issue (1): 63-73    DOI: 10.13306/j.1672-3813.2019.01.007
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“互联网+”手机回收模式缘何绩效不彰?——基于mABM的演化博弈仿真分析
李春发, 王学敏, 来茜茜, 薛楠楠
天津理工大学管理学院,天津 300384
Why is the “Internet +” Mobile Phone Recycling Mode Ineffective?   ——An Analysis of Evolutionary Game Simulati on Based on mABM
LI Chunfa, WANG Xuemin, LAI Xixi, XUE Nannan
School of Management,Tianjin University of Technology,Tianjin 300384
全文: PDF(3156 KB)  
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摘要 为探讨“互联网+”手机回收模式运营绩效不彰的缘由,在厘清该回收模式绩效影响因素基础上,建立了消费者和回收(平台)商的回收策略选择演化博弈模型,通过分析其演化稳定策略及稳定条件,揭示回收绩效不彰的因果机理,并利用Netlogo仿真平台构建mABM仿真模型模拟博弈双方策略演化过程,验证结论的有效性。研究表明:1)消费者环保认知度水平是影响回收模式绩效的重要因素;2)消费者对信息泄露损失和交易成本的高度敏感性抑制消费者采取“积极回收”策略,但安全便捷的回收服务将使得回收商成本投入增加和收益减少,导致回收绩效不彰;3)价格透明度和政府补贴份额分配是夹在消费者和回收商间的矛盾体。据此,提出了“互联网+”手机回收模式绩效提升的基本策略与具体措施。
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李春发
王学敏
来茜茜
薛楠楠
关键词 “互联网+”回收绩效演化博弈多主体建模仿真    
Abstract:In order to explore the reason why the performance of “Internet +” mobile phones recycling mode is poor, on the basis of clarifying the factors affecting the performance of this recycling mode, an evolutionary game model is established to research strategy selection between consumers and recyclers (platforms). By analyzing its evolutionary stability strategy and stability conditions, the causes of the poor performance of this recycling mode is revealed. The mABM simulation model is used to simulate the evolution process, so as to verify the validity of the conclusions. The research shows that: 1) consumers’ recognition of environmental benefits is the significant factor that restricts the recycling effectiveness; 2) High sensitivity to information leakage losses and transaction convenience costs prevents consumers from adopting “active recycling” strategies, but providing safe and convenient recycling services will reduce the profits of recyclers, resulting in poor recycling performance; 3) The transparency of price and government subsidy distribution are the contradictions between consumers and recyclers.According to the interpretation, some relevant suggestions and strategies are proposed to improve the performance.
Key words“Internet+”    recycling performance    evolutionary game    mABM
收稿日期: 2018-11-25      出版日期: 2019-07-04
ZTFLH:  C934  
基金资助:国家社会科学基金(18BJY009);天津市科技计划项目(17ZLZXZF00030)
通讯作者: 王学敏(1993),男,山东德州人,硕士研究生,主要研究方向为系统优化与决策分析。   
作者简介: 李春发(1968),男,湖南郴州人,教授,博士,主要研究方向为产业生态系统优化与政策仿真。
引用本文:   
李春发, 王学敏, 来茜茜, 薛楠楠. “互联网+”手机回收模式缘何绩效不彰?——基于mABM的演化博弈仿真分析[J]. 复杂系统与复杂性科学, 2019, 16(1): 63-73.
LI Chunfa, WANG Xuemin, LAI Xixi, XUE Nannan. Why is the “Internet +” Mobile Phone Recycling Mode Ineffective?   ——An Analysis of Evolutionary Game Simulati on Based on mABM. Complex Systems and Complexity Science, 2019, 16(1): 63-73.
链接本文:  
http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2019.01.007      或      http://fzkx.qdu.edu.cn/CN/Y2019/V16/I1/63
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