区块链技术、供应链网络与数据共享：基于演化博弈视角

doi:10.16381/j.cnki.issn1003-207x.2022.2727

Abstract

Abstract:

Supply chain networks achieve precise coordination of supply and demand through real-time data sharing， reducing production blindness and mitigating the “bullwhip effect.” They also open up new market opportunities and generate comparative advantages， leading to steady improvements in productivity and breaking the zero-sum game of supply chain relationships. However， potential opportunism risks in actual transactions can result in a high failure rate of supply chain network cooperation， reaching 50%~70%. Therefore， intelligent technology is urgently needed to innovate the digital governance model of supply chain networks， solve data isolation problems and opportunism dilemmas， and promote digital transformation of supply chain networks. A three-party evolutionary game model of government and upstream and downstream subgroups in supply chain networks is constructed to explore the mechanism behind opportunity sharing behavior in supply chain networks and then blockchain technology is introduced to determine the optimal strategy choices of participating entities under different influencing factors. It analyzes the impact of initial willingness， costs， benefits， etc. on the willingness and efficiency of data sharing in supply chain networks and conducts simulation analysis. The results show that， first， under the empowerment of blockchain technology， the initial willingness of the three parties significantly affects the formation of the final stable equilibrium state， which helps to improve the efficiency of data sharing in supply chain networks. Second， increasing the incentive and punishment intensity of data sharing can increase the willingness of upstream and downstream subgroups to share data， while reducing marginal costs and speculative gains can effectively suppress opportunity sharing behavior. Third， when the incentive intensity is greater than the critical value， the government's loose regulation tends to promote data sharing behavior， while when the punishment intensity is lower than the critical value， the government's strict regulation also leads to opportunity sharing behavior， rendering the blockchain regulation ineffective. Finally， the lower the regulatory cost and the more significant the negative and positive social effects， the more the government is inclined to continue to exert supervision efforts. By analyzing the collaborative mechanism of the upstream and downstream subgroups and the government， theoretical support and decision-making basis are provided for digital governance of supply chain networks under the new development pattern.

Key words: supply chain network, blockchain technology, data sharing, evolutionary game, simulation analysis

CLC Number:

F273.1

Guo-qiang SUN,Yu-fei XIE. Blockchain Technology, Supply Chain Networks and Data Sharing: Based on the Perspective of Evolutionary Game[J]. Chinese Journal of Management Science, 2023, 31(12): 149-162.

Figures/Tables 12

策略选择

政府监管机构

严格监管

z

宽松监管

1 - z

供应链上游子群A

共享

$x$

供应链下游子群B

共享

$y$

$r A d B A - C A - m d A B + α d A B$ ,

$r d A B - C B - m d B A + α d B A$ ,

$- C f - C g + O g - α d A B - α d B A$

$r A d B A - C A - m d A B + α d A B$ ,

$r d A B - C B - m d B A + α d B A$ ,

$- C f - C g - α d A B - α d B A$

机会共享

$1 - y$

$r A γ d B A - C A - m d A B + α d A B$ ,

$r B d A B + k B 1 - γ d B A - C B - m γ d B A - β d A B$ ,

$- C f - C g + O g - α d A B + β d A B$

$r A γ d B A - C A - m d A B + α d A B$ ,

$r B d A B + k B 1 - γ d B A - C B - m γ d B A$ ,

$- C f - N g - α d B A$

机会共享

$1 - x$

供应链下游子群B

$y$

共享

$r A d B A + k A 1 - γ d A B - C A - m γ d A B - β d B A$ ,

$r B γ d A B - C B - m d B A + α d B A$ ,

$- C f - C g + O g - α d B A + β d B A$

$r A d B A + k A 1 - γ d A B - C A - m γ d A B$ ,

$r B γ d A B - C B - m d B A + α d B A$ ,

$- C f - C g - α d B A$

机会共享

$1 - y$

$r A γ d B A + k A 1 - γ d A B - C A - m γ d A B - β γ d B A$ ,

$r B γ d A B + k B 1 - γ d B A - C B - m γ d B A - β γ d A B$ ,

$- C f - C g + O g + β γ d B A + β γ d A B$

$r A γ d B A + k A 1 - γ d A B - C A - m γ d A B$ ,

$r B γ d A B + k B 1 - γ d B A - C B - m γ d B A$ ,

$- C f - N g$

均衡点	Jacobian 矩阵特征值		稳定性结论	均衡点条件
均衡点	$λ 1$ ， $λ 2$ ， $λ 3$	实部符号	稳定性结论	均衡点条件
（0,0,0）	$α d A B - k A d A B - m d A B + k A γ d A B + m γ d A B$ ， $α d B A - k B d B A - m d B A + k B γ d B A + m γ d B A$ ， $N g + O g - C g + β γ d A B + m γ d B A$ $N g + O g - C g + β d A B$	（×,×,+）	不稳定	/
（1,0,0）	$k A d A B - α d A B + m d A B - k A γ d A B - m γ d A B$ ， $α d B A - k B d B A - m d B A + k B γ d B A + m γ d B A$	（+,×,×）	不稳定	/
（0,1,0）	$N g + O g - C g + β d B A$ ， $α d A B - k A d A B - m d A B + k A γ d A B + m γ d A B$ ， $k B d B A - α d B A + m d B A - k B γ d B A - m γ d B A$	（+,×,×）	不稳定	/
（0,0,1）	$C g - N g - O g - β γ d A B - β γ d B A$ ， $α d A B - k A d A B - m d A B + β γ d B A + k A γ d A B + m γ d A B$ ， $α d B A - k B d B A - m d B A + β γ d A B + k B γ d B A + m γ d B A$	（-,-,-）	ESS	①
（1,1,0）	$- C g$ ， $k A d A B - α d A B + m d A B - k A γ d A B - m γ d A B$ ， $k B d B A - α d B A + m d B A - k B γ d B A - m γ d B A$	（-,-,-）	ESS	②
（0,1,1）	$C g - N g - O g - β d B A$ ， $α d A B + β d B A - k A d A B - m d A B + k A γ d A B + m γ d A B$ ， $k B d B A - α d B A + m d B A - β γ d A B - k B γ d B A - m γ d B A$	（-,-,+）	不稳定	③
（1,0,1）	$C g - N g - O g - β d A B$ ， $α d B A + β d A B - k B d B A - m d B A + k B γ d B A + m γ d B A$ ， $k A d A B - α d A B + m d A B - β γ d B A - k B γ d A B - m γ d A B$	（-,+,-）	不稳定	④
（1,1,1）	$C g$ ， $k A d A B - β d B A - α d A B + m d A B - k A γ d A B - m γ d A B$ ， $k B d B A - β d A B - α d B A + m d B A - k B γ d B A - m γ d B A$	（+,×,×）	不稳定	/

参数	$r A$	$r B$	$k A$	$k B$	$C A$	$C B$	$d A B$	$d B A$	$m$	$α$	$β$	$γ$	$C g$	$C f$	$O g$	$N g$
数值	4	3	0.5	0.6	5	4	5	4	1	1	3	0.6	8	3	5	5

References 36

1	曾德麟，蔡家玮，欧阳桃花. 数字化转型研究：整合框架与未来展望［J］.外国经济与管理，2021，43（5）： 63-76.
	Zeng Delin， Cai Jiawei， Ouyang Taohua. A research on digital transformation： integration framework and prospects［J］. Management Word， 2021，43（5）： 63-76.
2	杨俊，李小明，黄守军. 大数据、技术进步与经济增长——大数据作为生产要素的一个内生增长理论［J］. 经济研究， 2022， 57（4）： 103-119.
	Yang Jun， Li Xiaoming， Huang Shoujun. Big Data，technical progress and economic growth： an endogenous growth theory introducing data as production factors［J］. Economic Research Journal， 2022， 57（4）： 103-119.
3	蔡继明，刘媛，高宏，等. 数据要素参与价值创造的途径——基于广义价值论的一般均衡分析［J］. 管理世界，2022， 38（7）：108-121.
	Cai Jiming， Liu Yuan， Gao Hong， et al. The approach of data factor participating in value creation： a general equilibrium analysis based on the general theory of value［J］. Management Word， 2022， 38（7）：108-121.
4	陈国青，张瑾，王聪，等. “大数据—小数据”问题：以小见大的洞察［J］. 管理世界，2021，37（2）： 203- 213+14.
	Chen Guoqing， Zhang Jin， Wang Cong， et al. The “Big Data-Small Data” problem：insights for the big through the small［J］. Management Word， 2021，37（2）： 203- 213+14.
5	孙兰兰，钟琴，祝兵，等. 数字化转型如何影响供需长鞭效应？——基于企业与供应链网络双重视角［J］. 证券市场导报， 2022（10）： 26-37.
	Sun Lanlan， Zhong Qin， Zhu Bing， et al. How does digital transformation affect the supply and demand whip effect？ Based on the dual perspective of enterprise and supply chain network［J］. Securities Market Herald， 2022（10）： 26-37.
6	韩孟孟，张三峰，顾晓光. 信息共享能提升企业生产率吗？——来自中国制造业企业调查数据的证据［J］. 产业经济研究， 2020（1）： 42-56.
	Han Mengmeng， Zhang Sanfeng， Gu Xiaoguang. Can information sharing enhance enterprise productivity？ Evidence from survey data of Chinese manufacturing enterprise［J］. Industrial Economics Research， 2020（1）： 42-56.
7	《中国数字经济发展与就业白皮书（2021年）》［EB/OL］.（2021-04-24）［2023-05-07］.
	《White Paper on the Development and Emp-loyment of China's Digital Economy （2021）》［EB/OL］.（2021-04-24）［2023-05-07］.
8	李春发，姜辉辉，李冬冬. 数据共享、公平关切与零供合作演化博弈［J］. 软科学， 2021， 35（10）： 130-137.
	Li Chunfa， Jiang Huihui， Li Dongdong. Data sharing，fairness concerns and evolutionary game of retail-supply cooperation［J］. Soft Science， 2021， 35（10）： 130-137.
9	宋立丰，宋远方，国潇丹. 基于数据权的现实与虚拟闲置资产共享——区块链视角下的共享经济发展研究［J］. 经济学家， 2019（8）： 39-47.
	Song Liceng， Song Yuanfang， Guo Xiaodan. Reality and virtual idle asset sharing based on data right research on the development of shared economy from the perspective of blockchain［J］. Economist， 2019（8）： 39-47.
10	Seidmann A， Sundarara A ．Sharing logistics information across organizations： technology， competition and contracting［M］．Boston，MA： Springer，1998．
11	刘婵，谭章禄. 大数据条件下企业数据共享实现方式及选择［J］. 情报杂志，2016，35（8）：169-174.
	Liu Chan， Tan Zhanglu. Enterprise Data sharing mode and choice in big data［J］. Journal of Information， 2016，35（8）：169-174.
12	邢海龙，高长元，翟丽丽，等. 大数据联盟成员间数据资源共享动态演化博弈模型研究——基于共享积极性视角［J］. 管理评论，2020，32（8）： 155-165.
	Xing Hailong， Gao Changyuan， Zhai Lili， et al. Research on dynamic evolutionary game model of data resource sharing among big data alliance members： based on the perspective of sharing positivity［J］. Management Review， 2020，32（8）： 155-165.
13	Luo Chao， Zhang Xiadin， Zheng Yuanjie ．Chaotic evolution of prisoner’s dilemma game with volunteering on interdependent network［J］．Communications in Nonlinear Science and Numerical Simulation，2017，47（6）：407-415.
14	李维安，李勇建，石丹. 供应链治理理论研究：概念、内涵与规范性分析框架［J］. 南开管理评论， 2016， 19（1）： 4-15+42.
	Li Weian， Li Yongjian， Shi Dan. Theoretical research on supply chain governance： concept， intention， and normative analysis framework［J］. Nankai Business Review， 2016， 19（1）： 4-15+42.
15	Bhatt P C， Kumar V， Lu T C， et al. Technology convergence assessment： case of blockchain within the IR 4.0 platform［J］. Technology in Society， 2021， 67：1-14.
16	李勇建，陈婷. 区块链赋能供应链：挑战、实施路径与展望［J］.南开管理评论， 2021， 24（5）：192-201， 212， 202-203.
	Li Yongjian， Chen Ting. Blockchain empowers supply chain： challenge， implementation path and prospect［J］. Nankai Business Review， 2021， 24（5）： 192-201， 212， 202-203.
17	戚学祥. 区块链技术在政府数据治理中的应用：优势、挑战与对策［J］. 北京理工大学学报（社会科学版）， 2018， 20（5）： 105-111.
	Qi Xuexiang. Application of block chain technology in government data governance： advantage， challenge and countermeasure［J］. Journal of Beijing Institute of Technology（Social Sciences Edition）， 2018， 20（5）：105-111.
18	Kumar A， Liu Rong， Shan Zhe. Is blockchain a silver bullet for supply chain management？ Technical challenges and research opportunities［J］. Decision Science， 2020， 51（1）： 8-37.
19	龚强，班铭媛，张一林. 区块链、企业数字化与供应链金融创新［J］. 管理世界，2021，37（2）：22-34+3.
	Gong Qiang， Ban Mingyuan， Zhang Yilin. Blockchain， enterprise digitalization and supply chain finance innovation［J］. Management Word， 2021，37（2）：22-34+3.
20	Hastig G M， Sodhi M S. Blockchain for supply chain traceability： business requirements and critical success factors［J］. Production and Operations Management， 2020， 29（4）： 935-954.
21	孙睿，何大义，苏汇淋．基于演化博弈的区块链技术在供应链金融中的应用研究［J/OL］.中国管理科学. .
	Sun Rui， He Dayi， Su Huilin. Application of blockchain technology to preventing supply chain finance based on evolutionary game［J/OL］. Chinese Journal of Management Science. .
22	张令荣，彭博，程春琪.基于区块链技术的低碳供应链政府补贴策略研究［J］.中国管理科学，2023， 31（10）： 49-60.
	Zhang Lingrong， Peng Bo， Cheng Chunqi. Research on government subsidy strategy of low-carbon supply chain based on block-chain technology［J］．Chinese Journal of Management Science，2023， 31（10）： 49-60.
23	王莉，段婷，董珺. 区块链与企业网络融合：机遇、挑战与对策［J］. 经济问题，2021（4）： 23-30.
	Wang Li， Duan Ting， Dong Jun. Integration of blockchain and enterprise network： opportunities， challenges and countermeasures［J］. On Economic Problems， 2021（4）： 23-30.
24	Qian Xiaoning， Papadonikolaki E. Shifting trust in construction supply chains through blockchain technology［J］. Engineering， Construction and Architectural Management，2021，28（2）：584-602.
25	宋华，杨雨东，陶铮. 区块链在企业融资中的应用：文献综述与知识框架［J］. 南开管理评论，2022， 25（2）： 34-48.
	Song Hua， Yang Yudong， Tao Zheng. The application of blockchain in enterprise financing： a literature review and knowledge framework［J］. Nankai Business Review， 2022， 25（2）： 34-48.
26	Chang S E， Chen Y. When blockchain meets supply chain： a systematic literature reviewon current development and potential applications［J］.IEEE Access，2020，8：62478-62494.
27	钱晓东，王昱澎. 区块链环境下供应链网络演化研究［J］.统计与信息论坛，2022，37（5）： 76-89.
	Xiaodong Qan， Wang Yupeng. Research on evolution of supply chain networks in the blockchain environment［J］. Journal of statistics and information， 2022，37（5）： 76-89.
28	Lu Yang. The blockchain： State-of-the-art and research challenges［J］. Journal of Industrial Information Integration，2019，15（3）：80-90.
29	Aste T， Tasca P， Di Matteo T. Blockchain technologies： the foreseeable impact on society and industry［J］. Computer， 2017，50（9）：18-28.
30	Queiroz M M， Telles R， Bonilla S H. Blockchain and supply chain management integration： a systematic review of the literature［J］. Supply Chain Management： An International Journal， 2019， 25（2）： 241-254.
31	Sanka A I， Irfan M， Huang Ian， et al. A survey of breakthrough in blockchain technology： adoptions， applications， challenges and future research［J］. Computer Communications， 2021， 169：179-201.
32	Kshetri N. Blockchain’s roles in meeting key supply chain management objectives［J］. Inter-national Journal of Information Management， 2018， 39： 80-89.
33	叶飞，张婕，吕晖. 供应商机会主义行为对信息共享与运营绩效的影响［J］. 管理科学， 2012， 25（2）： 51-60.
	Ye Fei， Zhang Jie， Lv Hui. Research on the impact of supplier opportunism on information sharing and operational performance［J］. Journal of Management Science， 2012， 25（2）： 51-60.
34	杨学成，李业勤. 区块链视角下供应链多主体数据共享意愿博弈研究［J］.科技管理研究， 2021， 41（23）： 181-192.
	Yang Xuecheng， Li Yeqin. Study on the willingness of sharing multi-agent data of supply chain from the perspective of blockchain technology［J］. Science and Technology Management Research， 2021， 41（23）： 181-192.
35	《2020京东区块链技术实践白皮书》［EB/OL］.（2020-10-24）［2023-05-10］.
	《2020 JD Blockchain Technology Practice White Paper》［EB/OL］.（2020-10-24）［2023-05-10］.
36	刘桂海，崔福龙，梅国平，等. 区块链技术背景下假房源治理主体博弈及仿真分析［J］. 管理评论， 2021，33（9）：128-142.
	Liu Guihai， Cui Fulong， Mei Guoping， et al. Game and simulation analysis of the governance entity of fake housing with the application of blockchain technology［J］. Management Review， 2021，33（9）：128-142.

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Blockchain Technology, Supply Chain Networks and Data Sharing: Based on the Perspective of Evolutionary Game

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