The Role of Slotting Fees in the Coordination of Assortment Decisions

Large numbers of new products introduced annually by manufacturers may strain the relationship between retailers and manufacturers regarding assortments carried by retailers. For example, many retailers in the grocery industry will agree to broaden their assortments only if the manufacturer agrees to pay slotting fees for the new products. We investigate the role played by slotting fees in coordinating the assortment decisions in a supply chain. To do so, we study a single‐retailer, single‐manufacturer supply chain, where the retailer decides what assortment to offer to end customers. Double marginalization results in a discrepancy between the retailer's optimal assortment and the assortment that maximizes total supply chain profits. We consider a payment scheme that is analogous to slotting fees used in the grocery industry: the manufacturer pays the retailer a per‐product fee for every product offered by the retailer in excess of a certain target level. We show that, if the wholesale price is below some threshold level, this payment scheme induces the retailer to offer the supply‐chain‐optimal assortment and makes both parties better off.     

客户忠诚及其评价探讨

客户忠诚是企业取得竞争优势的源泉,科学评价客户忠诚是企业获取和提升客户忠诚的必由之路。本文根据影响客户忠诚度的四个决定因素(客户认知价值、客户满意、客户信任和转移成本)确立客户忠诚度评价指标体系,采用层次分析法(AHP)确定指标体系权重,并探讨了如何提高客户忠诚度。     

全渠道零售模式下消费者体验影响因素重要性比较

零售业经历单渠道、多渠道、跨渠道步入全渠道阶段,在这一新兴模式下企业提高消费者体验,可增强顾客满意度和再购买意愿。借鉴已有研究成果,结合符合我国国情的体验维度构建全渠道零售八个阶段的消费者体验影响因素指标体系,深入分析顾客心理特征,在马斯洛需求层次理论的基础上将影响因素归类为五大方面,采用归类分析的方法对不同体验需求层次中各因素的重要性进行确定,旨为企业在全渠道零售模式下提升消费者体验满意度提供决策依据。     

第三方物流客户满意度前因研究——基于客户视角

满意是企业维持老顾客,保持竞争优势的基础.为了提高客户满意度,企业不仅要从自身出发去理解并实践物流客户满意,更为重要的是要从客户角度探察哪些因素会影响物流客户满意度.本文在回顾国内外相关研究的基础上,通过对物流客户的深度访谈,探察了第三方物流客户满意的7个前因,首次采用"直接测量感知期望差"的物流服务质量测量方法,在服装行业进行了实证研究,验证了误差处理质量等7个物流客户满意的前因,并发现了它们对物流客户满意度的影响权数.     

Managing Clearance Sales in the Presence of Strategic Customers

We study the effect of strategic customer behavior on pricing and rationing decisions of a firm selling a single product over two periods. The seller may limit the availability of the product (that is, ration) in the second (clearance) period. Some customers are strategic and respond to the firm's decisions by timing their purchases. When capacity is nonconstraining and the seller has pricing flexibility, we show that rationing in the clearance period cannot improve revenue. However, when prices are fixed in advance, rationing can improve revenue. In the latter case, we conduct a detailed analysis for linear and exponential demand curves and derive explicit expressions for optimal rationing levels. We find that the policy of doing the better of not restricting availability at the clearance price or not offering the product at the clearance price is typically near optimal. Our analysis also suggests that rationing—although sometimes offering considerable benefit over allowing unrestricted availability in the clearance period—may allow the seller to obtain only a small fraction of the optimal revenue when the prices are chosen optimally without rationing. We extend the analysis to cases where the capacity is constraining and obtain similar results.     

服务失误归因与顾客感知的公平性关系研究

通过对广州市内几家餐馆的顾客进行问卷调查,探讨顾客归因、服务公平性及顾客信任感之间的关系。数据分析结果表明,服务失误归因包括内控性、外控性和普遍性3个组成成分,这3个组成成分对顾客感知的服务公平性有不同程度的影响。内控性对顾客感知的服务公平性影响最大,其次为普遍性和外控性。顾客感知的服务公平性包括程序、交往、结果和信息公平性4个组成成分,该4个组成成分均显著影响顾客的信任感。     

基于客户价值的客户序位评价研究

客户关系管理是目前管理研究的热点,企业对客户价值的序位评价是其基础问题之一,其有效性是实施客户关系管理的基础.基于价值的客户序位评价是根据客户的价值大小来定位客户.本文首先在现有的客户价值评价体系的基础上结合客户生命周期理论设计了一种新的客户价值评价指标体系,从客户的生命周期阶段和客户发展潜力两个方面来评价客户价值.然后根据该指标体系的指标特性,选择神经网络作为评价方法.最后根据客户价值评价结果进行客户序位,并对每个类别的客户特征及其相应的营销策略进行了分析.     

顾客满意度模型的样本量研究

本文在对顾客满意度模型及其估计方法PLS（Partial Least Square）进行简单讨论的基础上,详细研究了顾客满意度模型PLS估计方法需要的样本量,并针对中国顾客满意度研究的实际案例数据,给出了顾客满意度模型的样本量要求的建议,对顾客满意度实践有指导意义。     

服务补救:重建顾客满意的重要手段

由于服务具有无形性、差异性、生产与消费的同一性以及服务质量评价的主观性等特点 ,使得在服务过程中不可避免地存在失误 ,由此引发顾客不满 ,以至顾客流失 ,企业利润下降。因此 ,服务补救成了企业重新建立顾客满意不可或缺的重要手段。本文讨论了服务补救与顾客抱怨处理的区别 ,就服务企业如何实施服务补救进行了较为详细的分析     

基于脑电的脑-机接口:关键技术和应用前景

介绍了运动想像脑-机接口技术中的几项核心技术,即在信息特征提取阶段采用的共空间模式和判决空间模式滤波方法、在模式识别阶段采用的大概率测试样本扩充训练集合的贝叶斯线性判决分析方法、直推式支持向量机方法、基于流形学习的拉普拉斯支持向量机方法和基于分层贝叶斯模型的方法。介绍了在线系统设计中的放大器设计和空闲态检测,展望了未来的发展方向。