Huang Yimin, Chen Xingli, Li Qiuxiang, Ma Xiaogang
The College of Management & Mconomics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Business School, Henan University, Kaifeng 475004, China.
Entropy (Basel). 2018 Nov 8;20(11):858. doi: 10.3390/e20110858.
The internet has provided a new means for manufacturers to reach consumers. On the background of the widespread multichannel sales in China, based on a literature review of the service game and multichannel supply chain, this paper builds a multichannel dynamic service game model where the retailer operates an offline channel and the manufacturer operates an online channel and offers customers the option to buy online and pick up from the retailer's store (BOPS). The manufacturer and the retailer take maximizing the channel profits as their business objectives and make channel service game under optimal pricing. We carry on theoretical analysis of the model and perform numerical simulations from the perspective of entropy theory, game theory, and chaotic dynamics. The results show that the stability of the system will weaken with the increase in service elasticity coefficient and that it is unaffected by the feedback parameter adjustment of the retailer. The BOPS channel strengthens the cooperation between the manufacturer and the retailer and moderates the conflict between the online and the offline channels. The system will go into chaotic state and cause the system's entropy to increase when the manufacturer adjusts his/her service decision quickly. In a chaotic state, the system is sensitive to initial conditions and service input is difficult to predict; the manufacturer and retailer need more additional information to make the system clear or use the method of feedback control to delay or eliminate the occurrence of chaos.
互联网为制造商接触消费者提供了一种新途径。在中国广泛的多渠道销售背景下，基于对服务博弈和多渠道供应链的文献综述，本文构建了一个多渠道动态服务博弈模型，其中零售商运营线下渠道，制造商运营线上渠道，并为客户提供在线购买并从零售商门店自提（BOPS）的选项。制造商和零售商以最大化渠道利润为经营目标，并在最优定价下进行渠道服务博弈。我们对该模型进行了理论分析，并从熵理论、博弈论和混沌动力学的角度进行了数值模拟。结果表明，系统的稳定性会随着服务弹性系数的增加而减弱，且不受零售商反馈参数调整的影响。BOPS渠道加强了制造商与零售商之间的合作，并缓和了线上与线下渠道之间的冲突。当制造商快速调整其服务决策时，系统将进入混沌状态并导致系统熵增加。在混沌状态下，系统对初始条件敏感，服务输入难以预测；制造商和零售商需要更多额外信息来使系统清晰，或者使用反馈控制方法来延迟或消除混沌的发生。
