摘要
数据资源是数字经济的一个基本组成部分,对于旨在建立持久竞争优势的企业来说,它发挥着至关重要的作用。公司的数据资源可以独特地影响供应链中围绕产品和服务的决策。因此,考虑到双渠道数据资源的探索,文章致力于制定双渠道闭环供应链的结构。利用Stackelberg和Nash均衡博弈论的概念,深入分析其定价决策。研究结果表明,数据资源的潜在价值可以导致遵循数据资源挖掘策略的“外部激励”的产生。此外,数据资源共享程度越高以及数据资源吸收能力越强,数据资源共享策略能够带来的超额利润越多。最后,供应链的整体利润随着数据资源转换效率的提高而增加。数据资源转换效率的提高相应地导致供应链内的整体利润提高。
Data resources are a fundamental component of the digital economy and play a vital role for businesses aiming to build a lasting competitive advantage.A company's data resources can uniquely influence decisions around products and services in the supply chain.Therefore,considering the exploration of dual-channel data resources,this paper is committed to developing the structure of dual-channel closed-loop supply chain.Using the concepts of Stackelberg and Nash equilibrium game theory,the paper analyzes the pricing decision deeply.The results show that the potential value of data resources can lead to the production of"external incentives"to follow the data resource mining strategy.In addition,the higher the degree of data resource sharing and the stronger the capacity of data resource absorption,the more super profits the data resource sharing strategy can bring.Finally,the overall profit of the supply chain increases with the improvement of the efficiency of data resource conversion.The improvement of data resource conversion efficiency correspondingly leads to the improvement of overall profits within the supply chain.
作者
宫子健
邢青松
GONG Zijian;XING Qingsong(School of Economics&Management,Chongqing Jiaotong University,Chongqing 400074,China)
出处
《物流科技》
2025年第24期96-102,共7页
Logistics Sci Tech
