顾客忠诚的价值驱动模式

顾客忠诚是企业赢利的源泉和成长的基石，近年来已成为国内外理论研究的一个重要课题。本文对顾客忠诚的内涵以及影响顾客忠诚的因素进行分析和总结的基础上，认为顾客价值才是顾客忠诚的真正驱动因素，提出一种顾客忠诚的价值驱动模型，以此来解释顾客忠诚的内在原因，并得出顾客忠诚价值驱动模式研究的基本结论。     

顾客忠诚的驱动因素分析及培育模式探讨

企业处在激烈的市场竞争中,建立并提升顾客忠诚可以保持本企业的市场竞争力。顾客忠诚是一个多层次涵义的概念,忠诚顾客能为企业带来现实的与潜在的价值,影响顾客忠诚建立的驱动因素主要包括:产品质量、顾客让渡价值、顾客信任、顾客满意、转移成本等。从顾客忠诚建立的驱动因素入手,培育顾客忠诚的途径可以归纳为:提高产品和服务质量,提升顾客满意度;推行顾客价值管理以增强顾客忠诚;增强顾客的信任巩固顾客忠诚;提高转移成本留住顾客忠诚等策略。     

现代企业顾客忠诚管理研究

忠诚顾客是企业经济效益的主要来源,现代企业的管理者们和理论学者应把顾客忠诚管理和顾客忠诚研究作为管理和研究的重中之重。本文首先分析顾客忠诚的涵义及顾客忠诚为企业带来的价值,然后在阐述顾客忠诚的驱动因素基础上,提出现代企业实施顾客忠诚管理的策略方法。     

基于顾客价值的零售业核心竞争力研究

零售业的现实挑战根源于核心竞争力的缺乏,顾客价值提升是打造零售业核心竞争力的有效途径.提升顾客价值的驱动因素有服务、品牌、关系、知识、商品等,通过加强员工管理,组建学习型零售组织,创新服务营销,开展客户关系管理,洞悉顾客需求,构筑零售业品牌以提升顾客价值从而建立零售业可持续核心竞争力.     

驱动市场导向下提升企业科技创新绩效的对策

该文从驱动市场导向的基本内涵入手,分析了驱动市场导向的三种维度及其对企业科技创新绩效的关系,指出驱动市场导向要通过顾客知识获取来提升企业的科技创新绩效。在此基础上,该文分析了顾客知识获取的三种方式及其对科技创新的不同影响。最后论文提出企业要提高创新力度,必须注重制订和实施驱动市场导向长远规划,注重实施驱动竞争者导向,以顾客交互的方式获取顾客知识,提高企业创新绩效。     

探究顾客隐私保护与顾客满意度的关系

在互联网迅速发展下,公司实施CRM(客户关系管理软件)管理已经成为一种新的增加顾客满意度的方法,但在CRM营销管理中,企业为获取争夺满意度,广泛收集客户信息,发送大量广告,使顾客的个人隐私受到严重侵犯,本文基于此用描述性方法研究顾客隐私隐私保护与顾客满意度关系,并对企业在顾客隐私方面提出相关建议。     

顾客生命周期价值的财务性和非财务性因素述评

在客户关系管理中,顾客生命周期价值是合理配置营销资源,进行有效市场细分,开展定制化营销的重要工具。但是现有的计算方法只考虑了顾客价值的财务性因素,而忽略了非财务性因素,使得顾客生命周期价值的估计存在偏差。本文从顾客生命周期价值的财务性和非财务性因素出发,对相关研究进行了总结和分析,识别了影响顾客生命周期价值的关键因素,为系统理解顾客价值创造过程和全面计算顾客生命周期价值提供了一种研究思路。     

顾客资产管理研究述评

顾客资源是企业资源的一种,也是企业在日益激烈竞争环境中获得优势的来源之一。目前,学术界关于顾客资产的研究和评述已有很多,其研究成果主要集中于顾客资产管理起源、顾客资产分析、顾客筛选和组合、顾客资产的影响因素、顾客资产实施以及供应链中的顾客资产的管理等方面。在现有的研究中,通过利用度量模型,可以有效识别顾客资产和顾客终身价值,有效帮助企业了解顾客的心理与需求,从而建立起营利性的顾客关系。企业在改进产品与服务的同时,实现企业与顾客的共同需求,强化企业与顾客关系,进而增强企业竞争力。     

顾客累积保持率的Probit模型分析

顾客终生价值预测是企业根据顾客对企业贡献大小进行营销资源分配的依据,而顾客保持率是企业客户关系管理的晴雨表,是计算顾客终生价值的重要参数。目前有效的累积顾客保持率的估计方法还没有定论,本文应用Probit模型给出计算典型顾客累积保持率的一种新方法。     

基于顾客忠诚的中小企业客户关系管理实证分析

中小企业与大企业在资金、人员以及组织机构等方面的不同 ,因此实施客户关系管理的过程与大企业也有所差别。本文是在对浙江中小企业客户关系管理实施状况长达一年多调查的基础上 ,详细分析了其现状及存在问题 ,阐述了供中小企业参考的基于顾客忠诚的客户关系管理实现策略。     

The WOW factor: Creating value through win-back offers to reacquire lost customers

Customer reacquisition provides firms with high financial and service improvement benefits. The implications of this research are meant to stimulate a new research stream towards a theory of customer reacquisition management as well as to provide service firms with a framework to regain defected customers. Through two studies, we develop an empirical model that identifies the factors driving win-back offer effectiveness. The findings indicate that, in order for win-back offers to be effective, service providers must consider a customer's reasons for leaving and their relationships with the current service provider. Value determinants (price and service benefits provided in the win-back offer), social capital and service importance play a prominent role in shaping customer switch-back intentions regardless of the level of previous satisfaction, regret, or delight with the new service provider.     

Customer Lifetime Value as the Basis of Customer Segmentation

SUMMARY

In this article, we examine current trends in customer life-time value and customer segmentation models and identify key issues for future research. CLV-based segmentation is a segmentation approach that groups customers into meaningful segments based upon customer lifetime value and (potentially) other factors. In the article, we discuss the extent to which CLV-based segmentation meets the criteria for effective segmentation. We also identify six areas for future research: (1) models and management of “micro-segments,” (2) using CLV-based segmentation to improve the efficiency of marketing programs, (3) the need for more dynamic CLV-based segmentation models, (4) applying CLV-based customer segmentation to new products and new customers, (5) challenges associated with implementing CLV-based segmentation, and (6) the need for new models that enable firms to segment customers by response to marketing activities and CLV at different points in the customer decision process.     

Choosing the Right Metrics to Maximize Profitability and Shareholder Value

There is an ever-present need for managers to justify marketing expenditures to the firm. This can only be done when we can establish a direct link between marketing metrics and future customer value and firm performance. In this article, we assess the marketing literature with regard to marketing metrics. Subsequently, we develop a framework that identifies key metrics that firms should focus on that can give a firm a better picture of how they got to where they are now and insights towards how they can continue to grow into the future. We then identify several organizational challenges that need to be addressed in order for firms to build the capabilities of collecting the right data, measuring the right metrics, and linking those metrics to customer value and firm performance. Finally, we offer guidelines for future research with regard to marketing metrics to help firms establish successful marketing strategies, measure marketing effectiveness, and justify marketing expenditures to top management.     

Customer Divestment

SUMMARY

Customer lifetime value (CLV) models are designed to identify high-value customers to be retained. By implication, the remaining customers must be divested. This aspect of CLV management, customer divestment, has not been addressed in research. In this paper we describe the process of customer divestment, report a framework enabling firms to implement customer divestment (Mittal, Sarkees, and Murshed, 2006), and identify key issues associated with the customer divestment process. In doing so, we formulate some key research questions and an agenda for future research.     

Exploring the role of extrovert-introvert customers’ personality prototype as a driver of customer engagement: Does relationship duration matter?

Drawing on social exchange theory, the current study examines new drivers and their associated processes of customer engagement. In spirit, the study tests the direct and indirect impacts of the extraversion–introversion personality trait on customer engagement. The study takes into consideration the contingency role of time by testing the moderating role of relationship duration. Results demonstrate that the more extraverted customers are, the more they are likely to engage with service firms. Further, extraversion is positively related to customer–employee interaction, which in turn leads to more utilitarian and hedonic values perceived by customers. Both types of value, then, induce higher customer engagement behaviors in terms of customer referrals, knowledge sharing, and social-influence. Findings demonstrate that relationship duration moderates some of the examined relationships. The current study contributes to the literature by extending the knowledge on customer engagement's predisposition and social causes.     

The innovativeness of Born-Globals and customer orientation: Learning from Indian Born-Globals

Born-Global firms, a newly emerging organizational form targeting international markets as a primary source of business from their inception, have innovativeness, requiring an intimate knowledge of their customer, as a primary feature. This study explores how a Born-Global's customer orientation leads to innovativeness through technological capability for customer relationship management (CRM) and external customer information management. Our empirical results, based on responses from 154 Indian managers, indicate that a Born-Global's customer orientation is an effective enabler of its innovativeness, whose effects are mediated by technological capability for CRM and external customer information management. Although significantly affected by customer orientation, the results further indicate that relationship quality with the buyer does not influence a Born-Global's innovativeness. When CRM technology and managing customer information obtained from external sources are employed, customer orientation significantly helps maintain the innovativeness of Born-Globals according to the results.     

Customer equity management as formative second-order construct

Despite intensive discussions about customer equity, little research addresses how to manage customer equity from a firm's perspective. Recent literature proposes various concepts of customer equity management but does not feature an empirical study that identifies and quantifies activities that aim explicitly to maximize customer equity. In the current study, the authors develop a formative measurement instrument for customer equity management as a second-order construct that indicates how intensively firms orient their customer management toward customer value and equity. The study presents a complete process for conceptualizing and operationalizing a formative second-order construct, including a thorough literature review, intensive qualitative research, and a quantitative study with 92 customer equity managers. On the basis of this process, the authors model customer equity management as a function of three formative dimensions - customer equity analysis, customer equity strategy, and customer equity actions - measured by several formative indicators. The resulting formative operationalization satisfies the criteria for evaluating formative indexes.     

The moderating effects of customer driven complexity on the structure and growth relationship in young firms

Close exchange relationships with customers are recognized as important for young firms. In fact, close partnerships with customers provide many advantages, such as innovation, opportunity recognition, reputation, etc. The current paper argues that customers with their close exchange relationships create significant complexities for young firms that require effective structural response. Based on past work on customer driven complexity, four parameters of customer driven complexities were conceptualized: customer variability, customer opportunism, customer-interaction variability, and customer-interaction specificity. Using both archival and survey data from 134 young (6 year old or younger) firms, this study tests the moderating influences of customer driven complexity variables on the relationship between structure and growth of young firms. Findings support the suggestion that more formalization and less delegation of authority at the customer interface significantly contribute to the growth in young firms. However, the positive relationship between formalization and revenue growth is found to be weaker when young firms face a higher level of customer variability and stronger when firms face a higher level of customer opportunism. Similarly, the negative relationship between delegation of authority and revenue growth is weaker when these firms face either a higher level of customer-interaction variability or a higher level of customer-interaction specificity.     

Salesperson CLV orientation's effect on performance

Previous studies show how strategies based on the customer lifetime value (CLV) can lead to an increase of profitability for a firm. In this context, marketing serves the purpose of maximizing CLV and customer equity (the CLV of current and future customers). For most types of service firms, salespeople are direct participants in implementing the CLV concept. However, prior research does not answer the question of whether or how salesperson CLV orientation can enhance profits. Using data on salespeople in a large Chilean retail bank, this study shows that the effect of salesperson CLV orientation on salesperson performance follows an S-shaped function (which is first convex and then concave). Additionally, data does not support the idea that the optimum level of CLV orientation depends on salesperson customer orientation, salesperson adaptive selling behavior, or salesperson experience (i.e., CLV-oriented behaviors could be effective across a wide range of salespeople). As such, this study addresses an important concern among researchers and managers that is related to how to increase the salesperson performance. The findings of this study suggest that firms need to monitor individual salesperson CLV orientation more closely.     

面向AFH客户分类主题的数据仓库的构建

近年来,随着客户关系管理（CRM）在商业运作中的巨大成功,其管理理念及价值被越来越多的企业所重视。在电子商务环境下,一对一营销正在受到企业的青睐。以客户为中心的思想,要求企业要能够有效地获取客户的各种信息,识别客户与企业之间的关系。文章在分析数据仓库特点的基础上,以客户平均购买额（A）、购买频率（F）和客户保持时间（H）作为客户价值细分变量,实例化构建了某食品连锁销售企业面向AFH客户分类主题的数据仓库。应用结果表明,新的AFH客户分类模型具有很强的表征性,能充分反映客户的当前价值（贡献度）和增值潜力（忠诚度）,能为企业提供有效的决策支持信息。