Yang Xue, Pan Langxuan, Song Aifeng, Ma Xiangqian, Yang Juan
School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Heliyon. 2023 Apr 5;9(4):e15191. doi: 10.1016/j.heliyon.2023.e15191. eCollection 2023 Apr.
Accelerating the digital transformation of the traditional logistics industry is an important step toward the high-quality development of China's economy, a fundamental task to ensure the smooth operation of the entire industrial chain, and a necessary path to building the Digital-China. Carrying out knowledge sharing can help promote knowledge integration and absorption among logistics enterprises, optimize the allocation of enterprise resources and enhance their business capabilities. To explore the knowledge sharing strategy selection mechanism of logistics enterprises in the process of digital transformation, this paper establishes a dynamic game model of knowledge sharing among logistics enterprises based on evolutionary game theory, and further demonstrates the reliability of the model by combining enterprise data with Matlab2022a for case analysis. The results show that: (1) the higher the cost of knowledge sharing in the digital transformation of logistics, the lower the willingness of enterprises to share; (2) when a single enterprise provides too much knowledge, it may trigger the breach of trust of the other party to "hitchhiking"; (3) appropriately increasing the amount of penalty for breach of trust helps promote both parties to reach a knowledge sharing strategy; (4) The benefit distribution coefficient significantly affects the knowledge sharing strategies of both parties, and a reasonable benefit distribution coefficient can prompt both parties to reach a stable strategy quickly; (5) Government financial incentives positively promote enterprises' willingness to share knowledge, and both parties can obtain higher revenue when a sharing strategy is reached. Thus, this paper explores the knowledge sharing strategy and evolution mechanism in the process of digital transformation of the logistics industry from the micro perspective of enterprises, which is of great practical significance and reference value.
加快传统物流行业数字化转型是中国经济高质量发展的重要一步，是保障产业链供应链稳定运行的根本任务，也是建设数字中国的必由之路。开展知识共享有助于促进物流企业间的知识整合与吸收，优化企业资源配置，提升企业业务能力。为探究物流企业数字化转型过程中的知识共享策略选择机制，本文基于演化博弈理论建立了物流企业间知识共享的动态博弈模型，并结合企业数据运用Matlab2022a进行案例分析，进一步论证模型的可靠性。结果表明：（1）物流数字化转型中知识共享成本越高，企业共享意愿越低；（2）单个企业提供过多知识时，可能引发对方“搭便车”的失信行为；（3）适当提高失信惩罚力度有助于双方达成知识共享策略；（4）收益分配系数显著影响双方知识共享策略，合理的收益分配系数能促使双方快速达成稳定策略；（5）政府财政激励正向促进企业知识共享意愿，达成共享策略时双方能获得更高收益。因此，本文从企业微观视角探究了物流行业数字化转型过程中的知识共享策略及演化机制，具有重要的现实意义和参考价值。
