Evolutionary Game Model of Knowledge Transfer Incentive in Cloud Manufacturing Supply Chains

Abstract

Abstract: In the operations of cloud manufacturing supply chains, the knowledge transfer between cloud manufacturing enterprise and customer might improve the operation performance of the supply chains. However, due to information asymmetry and limited rationality, both of enterprises would not actively transfer knowledge, which might reduce the overall operation performances of the supply chains. In order to improve the operation performances of the supply chains, the strategic tendency of knowledge transfer and the change of the evolution path were studied. According to the motivation of the customer to acquire knowledge, an evolutionary game model of knowledge transfer between cloud manufacturing enterprise and customer was established by evolutionary game theory, and the model was solved and analyzed. The corresponding research conclusions were obtained. The correctness of the conclusions was verified by numerical simulation. The study results show that the higher the knowledge amount, the knowledge transfer willingness, the knowledge transfer ability, the knowledge absorption ability, the knowledge transferability, and the mutual trust degree of the cloud manufacturing enterprise and customer, the more likely they are to adopt knowledge transfer strategies; the higher the knowledge transfer costs and speculative gains of the cloud manufacturing enterprise and customer, the more likely they are not to adopt knowledge transfer strategies. Finally, considering the above factors, some countermeasures and suggestions were put forward to promote the knowledge transfer between cloud manufacturing enterprise and customer.

Key words: cloud manufacturing supply chain, knowledge transfer, incentive mechanism, evolutionary game

摘要： 在云制造供应链的运作过程中，云制造企业与客户之间的知识转移能够提高供应链的运作绩效。但是，双方企业出于信息不对称性和有限理性的考虑，不会主动进行知识转移，这将会导致供应链整体运作绩效的降低。为了提高供应链的运作绩效，研究了双方企业知识转移行为策略倾向及其演化路径的变化情况，针对客户获得知识的动机，运用演化博弈理论，建立了云制造企业与客户之间知识转移的演化博弈模型，并通过模型求解和分析，得出相应的研究结论，通过数值仿真验证研究结论的正确性。研究表明：云制造企业和客户的知识拥有量、知识转移意愿、知识传授能力、知识吸收能力、知识可转移度、相互信任程度越大，他们都采取知识转移策略的可能性就越大；云制造企业和客户的知识转移成本、投机收益越高，他们都不采取知识转移策略的可能性就越大。最后，考虑以上影响因素，提出促进云制造企业与客户之间知识转移的对策建议。

关键词: 云制造供应链, 知识转移, 激励机制, 演化博弈

CLC Number:

F274
G302

HE Zheng;ZHANG Zhizhao;LI Bo. Evolutionary Game Model of Knowledge Transfer Incentive in Cloud Manufacturing Supply Chains[J]. China Mechanical Engineering.

和征;张志钊;李勃. 云制造供应链知识转移激励的演化博弈模型[J]. 中国机械工程.

References

[1]李伯虎,张霖,任磊,等.再论云制造[J].计算机集成制造系统,2011,17(3):449-457.

LI Bohu, ZHANG Lin, REN Lei,et al. Further Discussion on Cloud Manufacturing[J].Computer Integrated Manufacturing Systems, 2011,17(3):449-457.

[2]张霖,罗永亮,范文慧,等.云制造及相关先进制造模式分析[J].计算机集成制造系统,2011,17(3):10-17.

ZHANG Lin, LUO Yongliang, FAN Wenhui,et al. Analyses of Cloud Manufacturing and Related Advanced Manufacturing Models[J].Computer Integrated Manufacturing Systems,2011,17(3):10-17.

[3]XIE X L, LIU L, CAO Y Z. Trust Model Based on Feedback Evaluation in Cloud Manufacturing Environment[J]. Advanced Materials Research, 2011,308(8):1740-1745.

[4]古川,张红霞,安玉发.云制造环境下的供应链管理系统研究[J].中国科技论坛,2013,1(2):122-127.

GU Chuan, ZHANG Hongxia, AN Yufa. On Supply Chain Management System in Cloud Manufacturing Environment[J].Forum on Science and Technology in China,2013,1(2):122-127.

[5]李芳,武超然.云制造环境下供应链节点企业的优化组合[J].计算机应用研究,2014,31(6):1644-1647.

LI Fang, WU Chaoran.Optimal Composition of Supply Chain Node Enterprise in Cloud Manufacturing[J]. Application Research of Computers,2014,31(6):1644-1647.

[6]黄辉,纪玉娇,王哲,等.基于云制造的供应链网络构建研究[J].制造业自动化,2018,40(8):110-116.

HUANG Hui, JI Yujiao, WANG Zhe, et al. Supply Chain Network Establishment Based on Cloud manufacturing[J].Manufacturing Automation, 2018,40(8):110-116.

[7]王平,潘燕华.云制造环境下供应链协同机理的实证研究[J].南通大学学报(社会科学版),2019,35(1):99-106.

WANG Ping, PAN Yanhua.Empirical Research on Supply Chain Collaboration Mechanism in Cloud Manufacturing Environment[J]. Journal of Nantong University(Social Sciences Edition), 2019,35(1): 99-106.

[8]HAGHIRIAN P. Does Culture Really Matter? Cultural Influences on the Knowledge Transfer Process within Multinational Corporations[C]//Proceedings of the 11th European Conference on Information Systems.Naples:DBLP,2003:740-751.

[9]CHUA A L, PAN S L. Knowledge Transfer and Organizational Learning in IS Offshore Sourcing[J].Omega,2008,36(2):267-281．

[10]周钟,陈智高.产业集群网络中知识转移行为仿真分析：企业知识刚性视角[J].管理科学学报,2015,18(1):41-49.

ZHOU Zhong, CHEN Zhigao. Simulation of Knowledge Transfers in Industrial Cluster Networks: a firm’s Knowledge Rigidity Perspective[J]. Journal of Management Sciences in China,2015,18(1):41-49.

[11]ESTHER W D V, DOLFSMA W A, van der WINDT H J, et al. Knowledge Transfer in University-Industry Research Partnerships: a Review[J]. The Journal of Technology Transfer, 2019,44(4): 1236-1255.

[12]朱简.基于供应链知识转移的企业技术创新能力提升[J].湖北经济学院学报,2016,14(3):81-85.

ZHU Jian. Technology Innovation Ability Improving of Enterprises Based on the Knowledge Transfer on Supply Chain[J]. Journal of Hubei University of Economics,2016,14(3):81-85.

[13]WEI Y, MIRAGLIA S. Organizational Culture and Knowledge Transfer in Project-based Organizations: Theoretical Insights from a Chinese Construction Firm[J].International Journal of Project Management, 2017, 35(4):571-585.

[14]宋华,麦孟达.供应链知识管理及其二元能力对企业绩效的影响[J].中国流通经济,2018,32(12):63-74.

SONG Hua, MAI Mengda. The Impact of Supply Chain Knowledge Management and Supply Chain Ambidexterity on Corporate Performance[J]. China Business and Market,2018,32(12):63-74.

[15]楚岩枫,郝鹏飞.开放式创新下合作型研发外包中知识转移的激励研究：基于演化博弈模型[J].科技管理研究,2019,39(5):136-144.

CHU Yanfeng, HAO Pengfei. Incentive Research on Knowledge Transfer in Cooperative R&D Outsourcing under Open Innovation：Based on Evolutionary Game Model[J]. Research on Science and Technology Management,2019,39(5):136-144.

[16]李春发,赵乐生.激励机制影响新创企业知识转移的系统动力学分析[J].科技进步与对策,2017,34(13):128-135.

LI Chunfa, ZHAO Lesheng.System Dynamic Analysis of the Effect of Incentive Mechanism on Knowledge Transfer in Start-up[J].Science ＆ Technology Progress and Policy,2017,34(13):128-135.

[17]DING X H, HE Y, WU J, et al. Effects of Positive Incentive and Negative Incentive in Knowledge Transfer: Carrot and Stick[J]. Chinese Management Studies,2016, 10(3):593-614.

[18]LEDEBUR V, SIDONIA C. Optimizing Knowledge Transfer by New Employees in Companies[J]. Knowledge Management Research & Practice, 2007,5(4): 229-236.

[19]涂静, 马辉民.隐性知识外包的激励机制研究[J].图书情报工作,2008,52(10):58-61.

TU Jing, MA Huimin.Research of Incentive Mechanism in Tacit Knowledge Outsourcing[J]. Library and Information Service,2008,52(10):58-61.

[20]曹兴,秦耀华.技术联盟知识转移激励模型及其实证[J].管理科学,2011,24(3):25-33.

CAO Xing, QIN Yaohua.Empirical Study on the Incentive Model of Knowledge Transfer within Technology Alliance[J]. Journal of Management Science,2011,24(3):25-33.

[21]沈娜利,沈如逸,肖剑,等.大数据环境下供应链客户知识共享激励机制研究[J].统计与决策,2018,34(10):36-41.

SHEN Nali, SHEN Ruyi, XIAO Jian, et al. Research on Incentive Mechanism of Customer Knowledge Sharing in Supply Chain under Environment of Big Data[J]. Statistics and Decision, 2018,34(10):36-41.

[22]菅利荣,王大澳.政府调控下的战略性新兴产业集群企业知识共享演化博弈[J].系统工程,2019,37(4):30-35.

JIAN Lirong, WANG Daao. Knowledge Sharing Mechanism of Enterprises in Strategic Emerging Industrial Clusters under Government Regulations[J]. Systems Engineering,2019,37(4):30-35.

[23]刘建设.组织知识共享行为及其激励机制研究[D].北京:北京邮电大学,2010:49-69.

LIU Jianshe. Study on Organization Knowledge Sharing Behavior and Its Incentive Mechanism[D].Beijing: Beijing University of Posts and Telecommunications,2010:49-69.

[24]尚永辉.基于演化博弈的IT外包知识转移问题研究[D].西安:西安电子科技大学,2012.

SHANG Yonghui. Study on the Problem of Knowledge Transfer in IT Outsourcing Based on Evolution Game[D]. Xi'an: Xidian University,2012.

[25]郑汉东,陈意,李恩重,等.政府推动再制造产业发展的演化博弈策略研究[J].中国机械工程,2018,29(3):340-347.

ZHENG Handong, CHEN Yi, LI Enzhong, et al. Research on Evolutionary Game Strategy of Promoting Development of Remanufacturing Industries by Government[J].China Mechanical Engineering,2018,29(3):340-347.