How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?

To explore the complexity and uncertainty of R&D cooperation in supply and demand network (SDN) enterprises, this study used the evolutionary game theory and the duplicate dynamic equation to construct the R&D cooperation strategy selection model. Based on the perspective of kn...

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Autores principales: Jianjia He, Jusheng Liu, Zhiping Qiu, Ngayua Esther Nanzayi, Min Zhang
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/2527825a29cb4d7c88b0f8baf4161963
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spelling oai:doaj.org-article:2527825a29cb4d7c88b0f8baf41619632021-12-03T00:00:41ZHow Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?2169-353610.1109/ACCESS.2021.3128647https://doaj.org/article/2527825a29cb4d7c88b0f8baf41619632021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9617603/https://doaj.org/toc/2169-3536To explore the complexity and uncertainty of R&D cooperation in supply and demand network (SDN) enterprises, this study used the evolutionary game theory and the duplicate dynamic equation to construct the R&D cooperation strategy selection model. Based on the perspective of knowledge spillover, the model investigated the influence of knowledge spillover, government reward, government penalty, cooperative cost, and R&D cooperation risk in the cooperation of SDN enterprises. Next, this study analyzed the stability and the system evolution path of the model. Finally, it used numerical simulation to vary the rationality of the model. Based on this research, there are some conclusions can be obtained: Firstly, the evolution of R&D cooperation strategy for SDN enterprises may eventually stabilize at cooperation or selfishness strategy under different situations. As for which strategy is ultimately stable, it is closely related to the construction of the initial payment matrix and the selection of initial parameters. Secondly, there are two stable states in the game system: cooperation and selfishness. If one party chooses cooperation and the other party chooses selfishness, the system will not be stable. Thirdly, knowledge spillover degree, government reward, government penalty, government penalty, cooperation cost, and cooperation risk are important factors that can influence the cooperation evolution of SDN enerprises. Fourth, under certain situations, if knowledge spillover degree, government reward, and government penalty increase, cooperation cost and cooperation risk decrease, the R&D cooperation in SDN enterprises will be improved. Related implications and suggestions are finally proposed, which can offer some valuable guidance for the development of SDN enterprises.Jianjia HeJusheng LiuZhiping QiuNgayua Esther NanzayiMin ZhangIEEEarticleSupply and demand networkknowledge spilloverR&D cooperationevolutionary game theorybusiness managementElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157889-157901 (2021)
institution DOAJ
collection DOAJ
language EN
topic Supply and demand network
knowledge spillover
R&D cooperation
evolutionary game theory
business management
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Supply and demand network
knowledge spillover
R&D cooperation
evolutionary game theory
business management
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Jianjia He
Jusheng Liu
Zhiping Qiu
Ngayua Esther Nanzayi
Min Zhang
How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?
description To explore the complexity and uncertainty of R&D cooperation in supply and demand network (SDN) enterprises, this study used the evolutionary game theory and the duplicate dynamic equation to construct the R&D cooperation strategy selection model. Based on the perspective of knowledge spillover, the model investigated the influence of knowledge spillover, government reward, government penalty, cooperative cost, and R&D cooperation risk in the cooperation of SDN enterprises. Next, this study analyzed the stability and the system evolution path of the model. Finally, it used numerical simulation to vary the rationality of the model. Based on this research, there are some conclusions can be obtained: Firstly, the evolution of R&D cooperation strategy for SDN enterprises may eventually stabilize at cooperation or selfishness strategy under different situations. As for which strategy is ultimately stable, it is closely related to the construction of the initial payment matrix and the selection of initial parameters. Secondly, there are two stable states in the game system: cooperation and selfishness. If one party chooses cooperation and the other party chooses selfishness, the system will not be stable. Thirdly, knowledge spillover degree, government reward, government penalty, government penalty, cooperation cost, and cooperation risk are important factors that can influence the cooperation evolution of SDN enerprises. Fourth, under certain situations, if knowledge spillover degree, government reward, and government penalty increase, cooperation cost and cooperation risk decrease, the R&D cooperation in SDN enterprises will be improved. Related implications and suggestions are finally proposed, which can offer some valuable guidance for the development of SDN enterprises.
format article
author Jianjia He
Jusheng Liu
Zhiping Qiu
Ngayua Esther Nanzayi
Min Zhang
author_facet Jianjia He
Jusheng Liu
Zhiping Qiu
Ngayua Esther Nanzayi
Min Zhang
author_sort Jianjia He
title How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?
title_short How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?
title_full How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?
title_fullStr How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?
title_full_unstemmed How Does the R&D Cooperation Path of Supply and Demand Network Enterprises Evolve?
title_sort how does the r&d cooperation path of supply and demand network enterprises evolve?
publisher IEEE
publishDate 2021
url https://doaj.org/article/2527825a29cb4d7c88b0f8baf4161963
work_keys_str_mv AT jianjiahe howdoestherx0026dcooperationpathofsupplyanddemandnetworkenterprisesevolve
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AT ngayuaesthernanzayi howdoestherx0026dcooperationpathofsupplyanddemandnetworkenterprisesevolve
AT minzhang howdoestherx0026dcooperationpathofsupplyanddemandnetworkenterprisesevolve
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