摘要
为解决B2C环境下网络零售商向客户提供配送服务的时隙定价问题,引入效用函数,考虑在实际选择中,某些时隙选项之间的相关性对顾客选择概率的影响,以最大化收益和均衡各时隙的配送能力为目标,建立基于Nested Logit的客户选择模型.该模型克服了多项式Logit模型"与其他选择无关"的局限性.通过算例对模型的有效性进行验证.结果表明:时隙选择概率的变化不仅受剩余时间和配送能力的影响,而且受某些时隙选项之间的相关性和时隙的预计效用的影响.研究结果对网络零售商的时隙定价策略有参考价值.
In order to solve the time slot pricing problem of delivery service provided by online retailers in B2C, the utility function is introduced, and the Nested Logit customer choice model is established with the aim of maximizing revenue and balancing delivery capability of each time slot, where the influence of the relevance of some time slot options on customer choice probability is considered. The model over-comes the restriction of Independence from Irrelevant Alternatives （HA） in the multi-nomail Logit model. The examples are analyzed to verify the effectiveness of the model. The result demonstrates that the vari-ance of the time slot selection probability is influenced not only by remaining time and delivery capability, but also by the relevance of some time slot options and the estimated time slot utility. The research is of reference for time slot pricing strategy of online retailers.
出处
《上海海事大学学报》
北大核心
2017年第1期47-51,共5页
Journal of Shanghai Maritime University
基金
国家社会科学基金(15BGL084)
上海市科学技术委员会科研计划(14DZ2280200)
上海市哲学社会规划课题(2014BGL018)
