主动式数据挖掘技术在客户管理中的研究与应用

本文首先阐述了当今计算机应用与研究领域的热门问题即客户关系管理与数据挖掘技术的关系,同时提出了主动式数据挖掘的过程模型;在此研究的基础之上,结合实际应用,采用聚类分析的算法进行模式发现,为客户关系管理提供决策依据。     

Social Optimal Location of Facilities with Fixed Servers,Stochastic Demand,and Congestion

We consider two capacity choice scenarios for the optimal location of facilities with fixed servers, stochastic demand, and congestion. Motivating applications include virtual call centers, consisting of geographically dispersed centers, walk‐in health clinics, motor vehicle inspection stations, automobile emissions testing stations, and internal service systems. The choice of locations for such facilities influences both the travel cost and waiting times of users. In contrast to most previous research, we explicitly embed both customer travel/connection and delay costs in the objective function and solve the location–allocation problem and choose facility capacities simultaneously. The choice of capacity for a facility that is viewed as a queueing system with Poisson arrivals and exponential service times could mean choosing a service rate for the servers (Scenario 1) or choosing the number of servers (Scenario 2). We express the optimal service rate in closed form in Scenario 1 and the (asymptotically) optimal number of servers in closed form in Scenario 2. This allows us to eliminate both the number of servers and the service rates from the optimization problems, leading to tractable mixed‐integer nonlinear programs. Our computational results show that both problems can be solved efficiently using a Lagrangian relaxation optimization procedure.     

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。     

内生价格歧视理论:以电信业选择资费为例

本文构建了两子市场和多子市场内生价格歧视简约理论模型.分析了客户转换成本对子市场细分的影响,最终对厂商利润、产出、消费者剩余和社会福利的影响.应用该模型,对电信业的选择资费深度探讨,给出产出和福利增加的原因.     

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。