基于期望视角的感知服务质量与顾客满意度区别研究

从期望出发,比较顾客视角的感知服务质量与满意度的区别。首先对期望概念进行明确界定,借鉴卡诺模型分类方法划分期望类别,基于重要性维度得到期望的三个类别:核心属性期望、重要属性期望和附加属性期望。以餐饮行业为实证研究背景,比较期望视角下的顾客满意度和感知服务质量的区别。发现核心属性期望、重要属性期望对顾客的服务质量评价影响更大,而附加属性期望对顾客的满意度评价影响更大。最后,给出企业对顾客期望、服务质量与顾客满意度的管理意义。     

聚类回归分析(CLR)在市场细分研究中的应用

本文从市场细分方法的角度,打破了传统的根据样本在心理感知或偏好等多个变量的距离进行细分的思路,采用一种新的聚类回归分析方法基于变量间的因果关系对顾客进行细分,不仅可以把顾客有效地划分成具有不同特点的群体,而且可以根据不同要素的因果关系确定不同群体中的关键影响要素.本文以电热水器行业顾客满意度研究为例,根据不同要素对满意度影响的差异进行市场细分.分析表明,采用这种方法,企业可以在经营管理过程中通过差异化策略获得竞争优势.     

基于Kano模型的产品定制属性识别分析及应用

识别对顾客有效的定制属性是定制化生产需要首先解决的一个重要问题.采用Kano问卷方法探求影响顾客满意的三类重要质量特性:迷人质量、期望质量和当然质量,并结合Kano影响图分析和属性重要度分析方法识别顾客希望定制的产品属性,最大程度地提高顾客的满意度.以笔记本电脑装配定制为例开展了详细的应用研究.     

基于淘宝网的网购顾客满意度模型实证研究

顾客满意度是企业质量提升追求的主要目标,而顾客满意度指数则是行业、企业横向比较的核心指标.我国以"淘宝网"为代表的C2C网上购物已经取得了飞速的发展,但顾客与商家、平台之间的矛盾日益激化,严重阻碍了网购行业的发展.因此,深入探讨顾客满意度模型,研究影响网购顾客满意度的主要因素显得尤为重要.本文以淘宝网为研究对象,从我国特有的经济市场及网购特性出发,以满意度评价中典型的ECSI、CCSI两个满意度指数为基础,横向对比两个模型的分析结果,寻求影响网购顾客满意度的主要因素,进而提出提升网购顾客满意度的建议及策略.     

考虑顾客策略行为和机器故障的加工排队系统最优定价

在加工系统中,顾客的决策行为不仅受价格影响,同时对交货时间敏感,而且不同的顾客对时间具有不同的敏感程度。本文采用排队理论,研究了垄断环境中策略顾客行为和机器故障干扰的加工系统最优定价问题,证明了最优定价的存在性,设计了最优定价的求解方法。通过数值算例,讨论了实际需求比例、最优定价和最大利润关于加工成本、单位时间维修成本、机器故障频率和平均维修时间的变化规律。数值结果说明机器故障修复时间增加比故障频率增加对企业利润造成影响更大。     

面向时间敏感型顾客的服务系统速率-成本决策模型

针对一类客户资源集中、时间敏感性强、质量要求高的服务系统决策问题,建立M/M/1排队模型,分析稳定状态下顾客参与服务系统的均衡到达率、服务价格之间的关系以及服务商最优速率.结果表明:服务速率与顾客单位时间等待成本无关,而均衡到达率和服务价格均与顾客单位等待成本呈负相关;当基准服务质量达到一定水平时,企业要提高利润就要追加投资,降低顾客等待效用,提高顾客满意度.     

移动电子商务视域下用户满意度影响因素研究及实证分析

随着移动通信技术的飞速发展以及移动终端的广泛使用,移动电子商务应运而生,并在很大程度上改变了人们的生活方式.基于顾客满意度模型理论,以移动电子商务平台质量和服务质量为研究对象,构建了用户满意度概念模型.通过实证分析加以验证,最终得出以下两个结论:移动电子商务平台质量对用户满意度有正向影响作用;服务质量对用户满意度也有正向影响作用.     

社会化电子商务中新产品扩散的顾客价值量化研究

在社会化电子商务情境下,顾客的社会影响在新产品扩散过程中扮演了重要角色,顾客的价值不仅来自购买价值也来自影响价值,如何量化顾客价值是关注的重点.因此,结合社会化电子商务的特点,在影响者-模仿者非对称影响模型的基础上,计算不同类型顾客的影响范围,分别测量顾客的购买价值和影响价值以确定顾客价值.并对不同类型顾客的顾客价值、影响价值和购买价值进行仿真,分析随时间的变化过程.研究表明早购买者比晚购买者有更高的顾客价值,因此企业需要在产品发布的初期通过营销手段吸引尽量多的顾客,并提高早购买者的满意度以创造更高的影响价值.     

基于双重参照点的电子中介买卖双边匹配决策方法研究

本文从电子中介角度解决了买卖双方的匹配问题。首先,本文基于累积前景理论建立了双重参照点影响下的买卖双方交易达成条件的模型,并得到不同交易发生时电子中介的最优撮合价格和买卖双方的综合满意度。接着,本文针对中介企业发展的不同阶段和业务的淡旺季,构建了可供中介选择的利润导向型、客户导向型和折中型的买卖双边匹配模型。其中,在利润导向型模型中设定了关于客户满意度的阈值;在客户导向型模型中设定了关于利润的阈值;在折中型模型中同时考虑了利润和客户满意度,并设定了关于两者的阈值。最后,通过实例验证了提出方法和模型的有效性。     

基于让渡价值的顾客满意度比较模型的案例研究

基于顾客让渡价值的CSI的比较模型是一种研究顾客让渡价值总体满意度与顾客总价值满意度、顾客总成本满意度三者之间关系的模型。本研究以问卷调查的方式获得家电产品消费者对顾客让渡价值各因子重要性、满意度的一手资料,运用SPSS软件进行数据分析与处理.分析结果表明可以通过分析顾客让渡价值各因子的满意度来预测总满意度.同时,家电产品各因子重要性和满意度的调查结果为家电经营者提供了有价值的信息。     

Modeling customer satisfaction with new product design using a flexible fuzzy regression-data envelopment analysis algorithm

The success of new products depends greatly on customer satisfaction and meeting the customer needs is vital for new product development. By incorporating customer needs in the design and development process, organizations can improve productivity for their new products and reduce the risks associated with new product markets. Hence, design teams require methods to model customer satisfaction when setting the associated product design attributes. Thus, different approaches have been developed for modeling the relationship between customer satisfaction and product design parameters. In this study, 16 well-known fuzzy regression (FR) models are considered to understand the relationship between customer satisfaction and new product design. The design of FR models is based on the 4Ps marketing mix (product, price, place, and promotion) concept in fuzzy environments. A flexible algorithm is then presented based on the index of confidence, error measures, and data envelopment analysis for selecting the best FR model. The applicability and usefulness of the proposed algorithm is demonstrated experimentally based on an actual case study, where the flexible algorithm is employed to predict customer satisfaction with a new product design in the freezer/refrigerator industry.     

Customer satisfaction measurement in the private bank sector

Customer satisfaction represents a modern approach for quality in enterprises and organisations and serves the development of a truly customer-focused management and culture. Measuring customer satisfaction offers an immediate, meaningful and objective feedback about clients’ preferences and expectations. In this way, company’s performance may be evaluated in relation to a set of satisfaction dimensions that indicate the strong and the weak points of a business organisation. This paper presents an original customer satisfaction survey in the private bank sector. The implemented methodology is based on the principles of multicriteria analysis and preference disaggregation modelling. The most important results are focused on the determination of the critical service dimensions and the segmentation to customer clusters with distinctive preferences and expectations.     

关系感知在银行业顾客忠诚形成中的中介机制研究

以银行业为背景,以顾客关系感知中的满意和信任为中介变量,建立企业形象、转换成本和服务质量三个典型营销要素影响顾客忠诚意向和忠诚行为的概念模型,并进行了实证检验.研究发现:企业形象、服务质量和转换成本会显著影响顾客忠诚行为,其中服务质量影响最大;顾客满意在企业形象和服务质量对顾客忠诚行为的影响中有不完全中介作用;信任在服务质量对顾客忠诚行为的影响中也有不完全中介作用.此外,顾客忠诚意向是营销要素影响顾客忠诚行为的重要中介变量.     

Measuring Customer Satisfaction Using a Collective Preference Disaggregation Model

A new model to assess customer satisfaction is developed through this paper. The proposed model is based on the principles of multicriteria analysis, using ordinal regression techniques. The procedure uses survey's data on customer satisfaction criteria and disaggregates simultaneously all the global satisfaction judgments via a linear programming disaggregation formulation. The model provides collective global and partial satisfaction functions as well as average satisfaction indices. These results sufficiently describe customer behavior and they can be used in the strategic planning of an organization. The implementation of the model in three real world applications is used for illustration and for testing the model's reliability. Finally, several extensions and future research in the area of customer satisfaction analysis are discussed.     

多元统计分析在本科毕业论文指导满意度研究中的应用

毕业论文指导水平是影响毕业论文水平的重要因素,本文根据实际满意度调查的数据,利用主成份分析方法,对毕业论文指导满意度的影响因素进行了实证分析,得出是影响毕业论文指导质量的主要因素,同时,根据实证研究结论,就提高毕业论文指导满意度提出了若干建议.     

Modern analysis of customer satisfaction surveys: comparison of models and integrated analysis

Customer satisfaction is a key dimension driving business outcomes and performance of processes in service and product organizations. Measuring customer satisfaction is typically based on self‐declared or interview‐based questionnaires where users or consumers are asked to express opinions on statements, or satisfaction scales, mapping out various interactions with the service provider or product supplier. The topic has gained importance in recent years with researchers proposing new models and methods for designing, implementing, and analyzing customer satisfaction surveys. This paper builds on material presented in a recent edited book entitled Modern Analysis of Customer Satisfaction Surveys (Kenett and Salini, 2011). The book provides a comprehensive exposition of a variety of models that have all been applied to the same data set by leading experts. These models generate a variety of management insights. Combining models opens up opportunities for further research and applications. Specifically, we suggest that an integrated analysis, aggregating several approaches to survey data analysis, may prove effective in increasing the information quality derived from of a customer satisfaction survey. Copyright © 2011 John Wiley & Sons, Ltd.     

基于结构方程模型的市场细分方法应用研究

结构方程模型是当前研究顾客满意和顾客忠诚的主流方法之一,但基于结构方程对顾客满意和顾客忠诚进行市场细分方法的研究却十分缺乏.基于结构方程模型进行市场细分算法的应用研究,并对得出的细分结果进行了解释.     

A dynamic model for optimal design quality and return policies

A clearly explained and generous return policy has been established as a competitive weapon to enhance sales. From the firm’s point of view, a generous return policy will increase sales revenue, but will also increase cost due to increased likelihood of return. Design quality of the product has been used as a competitive weapon for a long time. This paper recognizes the relationship between design quality and price of the product, and the firm’s return policy. Quality level in the product would influence the amount of return directly. When the product quality is higher, the customer satisfaction rate will increase and the probability of return will decrease. We develop a profit-maximization model to jointly obtain optimal policies for the product quality level, price and the return policy over time. The model presented in this paper is dynamic in nature and considers the decisions as the product moves through the life cycle. We obtain a number of managerial guidelines for using marketing and operational strategy variables to obtain the maximum benefit from the market. We mention several future research possibilities.