体验店公平关切下线上零售商定价与激励机制

    Pricing and Incentive Mechanisms for Online Retailers and Offline Showrooms with Fairness Concerns

    • 摘要: 针对由线上零售商和公平关切线下体验店构成的O2O供应链中的最优定价和激励机制设计问题,研究线上零售商如何制定最优定价策略以及对线下体验店设计激励机制,以应对线下体验店为线上零售商提供产品体验服务及消费者可能退货的情况。基于委托代理理论,构建了线上零售商的最优定价和对线下体验店的激励机制模型。求解模型得出线上零售商的最优定价策略和对线下体验店的最优激励契约。进一步分析线下体验店的公平关切程度、消费者直接线上购买的概率,以及退货成本等因素对双方决策和收益的影响。研究发现,当其他参数一定时,线下体验店的公平关切行为会降低其提供的体验服务努力程度,同时也会降低线上零售商的最优定价和收益。然而,公平关切行为对激励系数的影响呈现非单调性。公平关切行为对线上零售商和整个O2O供应链系统均产生不利影响。最后通过数值算例验证了模型和结论的有效性,进一步揭示了公平关切行为在O2O供应链中的作用机制。

       

      Abstract: This study focuses on the joint decision on pricing and incentive mechanism design in an offline-to-online (O2O) supply chain that consists of an online retailer and an offline showroom with fairness concerns. The target is to determine the optimal pricing strategy of the online retailer, and to design the optimal incentive mechanism for the offline showroom, which provides product experience services and may handle potential consumer returns. Based on the principal-agent theory, a model is developed to derive these mechanisms. Solving the model yields the optimal pricing strategy for the online retailer and the corresponding incentive contract for the offline showroom. Furthermore, the impact of fairness concerns, the probability of consumers purchasing directly online, and the return cost on the decisions and profits of both parties are analyzed. Results show that, with the same level of O2O's related factors, fairness concerns of the offline showroom reduce its service efforts, as well as the optimal price and profit of the online retailer. However, the effect of fairness concerns on the incentive coefficient is non-monotonic. Generally, fairness concerns have a negative impact on both the online retailer and the entire O2O system. Numerical experiments validate the effectiveness of the proposed model and findings, and further reveal the underlying mechanisms of fairness concerns in O2O supply chains.

       

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