运筹与管理 ›› 2022, Vol. 31 ›› Issue (8): 101-108.DOI: 10.12005/orms.2022.0257

• 理论分析与方法探讨 • 上一篇    下一篇

云计算开源生态知识共享及风险治理的演化博弈研究

鲁馨蔓, 张博欣, 王君, 李艳霞   

  1. 天津财经大学 管理科学与工程学院,天津 300222
  • 收稿日期:2021-01-25 出版日期:2022-08-25 发布日期:2022-09-14
  • 作者简介:鲁馨蔓(1986-),女,山东滕州人,副教授,博士后,硕士生导师,研究方向:IT服务供应链管理、云服务风险治理等;张博欣(1997-),女,天津人,硕士研究生,研究方向:IT服务供应链管理;王君(1983-),男,天津人,副教授,博士,硕士生导师,研究方向:供应链管理;李艳霞(1995-),女,天津人,硕士研究生,研究方向:信息管理与数据分析。
  • 基金资助:
    教育部人文社会科学研究项目(17YJC630097);国家社会科学基金青年项目(17CTQ046)

Evolutionary Game Study of Knowledge Sharing and Risk Governance of Cloud Computing Open Source Ecology

LU Xin-man, ZHANG Bo-xin, WANG Jun, LI Yan-xia   

  1. School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 300222, China
  • Received:2021-01-25 Online:2022-08-25 Published:2022-09-14

摘要: 云计算开源生态正在逐步形成,促进知识共享、规避开源风险成为开源运营及开源治理的重要目标。本文基于演化博弈理论,构建了行业自律和政府监管两种治理机制下多方利益相关者(云计算企业、产业联盟以及政府)之间的演化博弈模型,分析了关键参数对各方策略及系统收益的影响。研究发现,在行业自律机制下,违约金和基金会补贴会促进知识共享合作,而产业联盟对于风险的存在则更为敏感。在政府监管机制下,罚款和政府补贴可以帮助参与者平衡风险并促进知识共享合作。研究结果可为云计算开源生态的可持续发展提供决策参考。

关键词: 开源生态, 知识共享, 演化博弈, 风险治理

Abstract: The open source ecology of cloud computing is gradually forming. Promoting innovation and managing risk have become important targets of open source operation and open source governance. Based on the evolutionary game theory, this paper builds the evolutionary game model among multi-stakeholders(cloud computing enterprises, industrial alliances and governments)under industry self-discipline mechanism and government supervision mechanism, and analyzes the key parameters influence on the strategies and benefits of the system. It is found that under the industry self-discipline mechanism, the liquidated damages and foundation subsidies will promote the cooperation of knowledge sharing, while the industrial alliances are more sensitive to the existence of risks. Under the government supervision mechanism, fines and subsidies can help participants balance risks and promote knowledge-sharing cooperation. The research results provide references for sustainable development of the open source ecology of cloud computing.

Key words: open source ecology, knowledge sharing, evolutionary game, risk governance

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