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作 者:冯楠[1,2] 程志文 冯海洋[1,2] 李敏强[1,2] Feng Nan;Cheng Zhiwen;Feng Haiyang;Li Minqiang(Department of Management and Economics,Tianjin University,Tianjin 300072;Laboratory of Computation and Analytics of Complex Management Systems(CACMS),Tianjin University,Tianjin 300072)
机构地区:[1]天津大学管理与经济学部,天津300072 [2]天津大学复杂管理系统实验室,天津300072
出 处:《管理评论》2024年第7期24-42,共19页Management Review
基 金:国家自然科学基金重点项目(72231004);国家自然科学基金重大项目(72394373)。
摘 要:以工业互联网为核心的新一代基础设施建设成为我国战略性新兴产业的重要组成部分。工业互联网发展规模不断壮大的同时,也面临着数据安全风险问题的巨大隐患。本文提炼主体属性、行为决策范式与交互规则,建立了以供给方准入限制为基础的工业互联网平台数据共享模型,并通过仿真研究了不同参数设置下微观主体的行为变化,探索有效数据共享的激励策略,以期更好地促进我国工业企业数据安全流通共享,从而创造更大社会价值。研究结果表明:本文提出的带有供给方准入限制的准入机制和激励策略可以显著促进数据共享,并能降低数据隐私泄露风险对供给方和需求方企业数据安全投资的不利影响,引导工业互联网平台、供给方和需求方形成最优安全管理方案,从而提高整体社会福利。The new generation infrastructure construction,with a focus on the industrial internet,has emerged as a vital element of China’s emerging strategic industries.However,the expanding scale of industrial internet development also brings significant hidden risks in terms of data security.In this paper,we refine the subject attributes,behavior decision-making paradigms and interaction rules,and establish a data sharing model for industrial internet platform based on supplier access restriction.Through simulation experiments,we study the behavior changes of micro subjects under different parameter settings,and explore effective strategies for incentivizing data sharing,so as to promote the secure circulation and sharing of industrial enterprise data in China,thereby creating greater social value.The research results demonstrate that the proposed access mechanism with supplier access restriction and incentive strategy have a significant impact on promoting data sharing.Moreover,they can reduce the adverse impact of data privacy leakage risk on the data security investment of enterprises on both supply and demand sides.Additionally,these mechanisms can guide industrial internet platforms,supply side and demand side to form the optimal security management scheme,thereby improving the overall social welfare.
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