数字化背景下传统制造业与数据平台服务商协同创新的多主体演化博弈

A Multi-Agent Evolutionary Game of Collaborative Innovation between Traditional Manufacturing Industry and Data Platform Service Providers under the Background of Digitalization

摘要: 数字化背景下，传统制造业生产模式和运营模式遭受巨大冲击。而数据平台服务商的出现，数据赋能，知识共享等已成为后工业时代传统工业企业转型的共同认识；同时数据平台行业还较为年轻，商业背书与技术完善也需不断完善。本文从制造型企业供应链上下游企业协同入手，探讨传统制造业内部与外部数据服务平台企业的演化路径。本文对其进行数值仿真后，得出结论：信用水平，投机行为，成本与收益的比值，数智化程度都对传统制造企业与数据平台服务商协同创新的演化博弈有显著影响；并且利益分配系数的设置存在一个合理阈值；投机行为的收益与企业协同创新的概率成反比；成本与收益的比值越小，促使企业向{协同创新}策略演化概率越大；数智化程度越高，三主体协同创新的概率越大。

Abstract: Under the background of digitization, the production mode and operation mode of traditional manufacturing industry have suffered a great impact. The emergence of data platform service providers, data empowerment, knowledge sharing have become the common understanding of the transformation of traditional industrial enterprises in the post-industrial era. At the same time, the data platform industry is still relatively young, so business endorsement and technological improvement need to be constantly improved. Based on the collaboration between up-stream and downstream enterprises in the supply chain of manufacturing enterprises, this paper discusses the evolution path of internal and external data service platform enterprises in traditional manufacturing industries. After numerical simulation, some conclusions are drawn. Credit level, speculative behavior, ratio of cost to income, and degree of digital intelligence all have significant effects on the evolutionary game of collaborative innovation between tradition-al manufacturing enterprises and data platform service providers. And there is a reasonable threshold for the benefit distribution coefficient. The return of speculation is inversely proportional to the probability of collaborative innovation. The smaller the ratio of cost to benefit, the greater the probability of the enterprise to evolve to {collaborative innovation} strategy. The higher the degree of number intellectualization, the greater the probability of collaborative innovation of three subjects.