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复杂系统与复杂性科学  2024, Vol. 21 Issue (2): 45-51    DOI: 10.13306/j.1672-3813.2024.02.006
  复杂网络 本期目录 | 过刊浏览 | 高级检索 |
基于复杂网络的电动汽车创新扩散博弈研究
孙威威, 张峥
上海理工大学管理学院,上海 200093
Game Analysis of Electric Vehicle Innovation Diffusion Based on Complex Network
SUN Weiwei, ZHANG Zheng
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
全文: PDF(2371 KB)  
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摘要 为了支持电动汽车企业通过协调复杂的多主体博弈关系推进创新扩散,构建了复杂网络的多主体博弈模型,阐明了影响创新扩散的关键变量。研究发现:制造商采纳不同技术的单位利润、专利费、技术优势系数是影响创新扩散的关键变量。节点度和网络重连概率影响扩散速度,节点度越低则重连概率对扩散速度的影响越显著,且网络规模越高节点度和网络重连概率对扩散速度的影响越显著。最后,提出了推进电动汽车创新扩散的管理和政策启示。
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孙威威
张峥
关键词 复杂网络电动汽车创新扩散演化博弈    
Abstract:In order to promote innovation diffusion of electric vehicle by harmonizing multi-agent game relationship. The multi-agent game model based on complex network was formed to analyze the influence of critical factors for innovation diffusion. Study results include that critical factors include the profits that adopting different patent technology, patent fees and advantage coefficients. The diffusion rate is affected by the node degree and network rewiring probability, and the lower node degree, the impact of network rewiring probability on diffusion speed is more significant. Also, the higher the network size, the more significant is the impact that rewiring probability posed on the diffusion speed. Finally the managerial and policy recommendations are proposed to promote the innovation diffusion.
Key wordscomplex networks    electric vehicle    innovation diffusion    evolutionary games
收稿日期: 2022-10-31      出版日期: 2024-07-17
ZTFLH:  C931  
  N94  
基金资助:上海市科委项目(22692107800,22692104500)
通讯作者: 张峥(1971-),男,山东泰安人,博士,教授,主要研究方向为复杂网络与技术创新管理。   
作者简介: 第一作者: 孙威威(1985-),男,河南漯河人,博士研究生,主要研究方向为复杂网络和创新扩散。
引用本文:   
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.
SUN Weiwei, ZHANG Zheng. Game Analysis of Electric Vehicle Innovation Diffusion Based on Complex Network[J]. Complex Systems and Complexity Science, 2024, 21(2): 45-51.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2024.02.006      或      https://fzkx.qdu.edu.cn/CN/Y2024/V21/I2/45
[1]SCHUMPETER J A. The instability of capitalism[J]. The Economic Journal, 1928,38(51): 361-368.
[2]蒋瑜洁,郭婷,王尚可,等.新兴国家如何实现突破性技术创新——基于中美V2X专利数据对比分析[J].科学学研究,2021,39(10):1882-1896.
JIANG Y J, GUO T, WANG S K, et al. How to achieve breakthrough innovation in emerging countries ——a study based on the comparative analysis of V2X patent data between China and the US[J].Studies in Science of Science, 2021,39(10):1882-1896.
[3]FANG Y J, WEI W, MEI S W, et al. Promoting electric vehicle charging infrastructure considering policy incentives and user preferences: an evolutionary game model in a small-world network[J]. Journal of Cleaner Production,2020,258:120753.
[4]魏旭光,罗宜康,杨青松,等.基于多维邻近性的新兴技术创新超网络演化研究——以新能源汽车产业为例[J].工业技术经济,2021,40(5):56-64.
WEI X G, LUO Y K, YANG Q S, et al. Evolution of emerging technology innovation hypernetwork based on multidimensional proximities ——based on new energy automobile industry[J]. Journal of Industrial Technological Economics,2021,40(5):56-64.
[5]刘国巍,邵云飞.产业链创新视角下战略性新兴产业合作网络演化及协同测度——以新能源汽车产业为例[J].科学学与科学技术管理,2020,41(8):43-62.
LIU G W, SHAO Y F. Evolution and collaborative measurement of strategic emerging industry cooperation network from the perspective of industrial chain innovation: taking the new energy vehicle industry as an example[J]. Science of Science and Management of S & T, 2020,41(8):43-62.
[6]曹霞,张路蓬,刘国巍.基于社会网络结构的创新扩散动力机制及其仿真研究[J].运筹与管理,2018,27(5):149-156.
CAO X, ZHANG L P, LIU G W. Research on dynamic mechanisms of innovation diffusion and its simulation based on the social network structure[J]. Operations Research And Management Science, 2018,27(5):149-156.
[7]陈恒,彭程,郭爽,等.基于复杂市场网络绿色技术创新扩散的两阶段演化分析[DB/OL].[2022-10-10].https://doi.org/10.16381/j.cnki.issn1003-207x.2021.2026.
CHEN H, PENG C, GUO S, et al. Two-stage evolution analysis of green technology innovation diffusion based on complex market network[DB/OL]. [2022-10-10].https://doi.org/10.16381/j.cnki.issn1003-207x.2021.2026.
[8]谭少林,吕金虎.复杂网络上的演化博弈动力学——一个计算视角的综述[J].复杂系统与复杂性科学,2017,14(4):1-13.
TAN S L, LÜ J H. A computational survey of evolutionary game dynamics on complex networks[J]. Complex Systems and Complex Science,2017,14(4):1-13.
[9]王璐,马庆庆,杨劼,等.基于复杂网络演化博弈的绿色消费者对新能源汽车扩散的影响研究[J].中国管理科学,2022,30(4):74-85.
WANG L, MA Q Q, YANG J. Research on the influence of green consumers on the diffusion of new energy vehicles based on complex network evolutionary game[J].Chinese Journal of Management Science,2022,30(4):74-85.
[10] 王先甲,顾翠伶,赵金华,等.随机演化动态及其合作机制研究综述[J].系统科学与数学,2019,39(10):1533-1552.
WANG X J, GU C L, ZHAO J H, et al. A review of stochastic evolution dynamics and its cooperative mechanism[J]. J Sys Sci & Math Scis,2019,39(10):1533-1552.
[11] 马永红,张利宁,王展昭.基于采纳者决策机制的竞争性创新扩散的阈值模型构建及仿真研究[J].科技管理研究,2016,36(22):12-17.
MA Y H, ZHANG L N, WANG Z Z. Threshold model building and simulation analysis of competitive innovation diffusion based on the decision making mechanism of adopters[J]. Science and Technology Management Research,2016,36(22):12-17.
[12] SZABÓ G, TÖKE C. Evolutionary prisoner’s dilemma game on a square lattice[J]. Physical Review E, 1998,58(1): 69-73.
[13] AYDIN A, PARKER R. Innovation and technology diffusion in competitive supply chains[J]. European Journal of Operational Research.2018, 265(3):1102-1114.
[14] ZHANG Q,ZHANG J X,ZACCOUR G,et al. Strategic technology licensing in a supply chain[J]. European Journal of Operational Research,2018,267(1): 162-175.
[15] LIU J G, SUN R, LIU F. Outsourcing strategy with patent licensing in an electronic product supply chain[J]. IEEE Access,2020,8: 98359-98368.
[16] 何培育,李源信.基于博弈分析的开放许可制度优化研究[J].科技管理研究,2021,41(12):165-171.
HE P Y, LI Y X. Research on optimization of open licensing system based on game analysis[J]. Science and Technology Management Research,2021,41(12):165-171.
[17] SUN W, ZHANG Z. Promoting electric vehicle cell innovation diffusion considering patent licensing strategy: a combination of evolutionary game and optimization algorithm approach[J]. World Electric Vehicle Journal, 2021, 12(3): 95.
[18] SUN W, YUAN M, ZHANG Z. The evolutionary game analysis and optimization algorithm of electric vehicle cell innovation diffusion based on a patent pool strategy[J]. World Electric Vehicle Journal, 2021,12(4):251.
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