基于竞争战略的客户价值链管理

对价值链进行战略性管理,是企业赢得竞争优势,吸引和保留客户的关键.本文将战略管理理论、客户价值理论和价值链管理理论结合起来,研究在企业选取某一既定战略来谋取竞争优势的背景下,如何将企业的技术开发、人力资源、采购、物流、生产运营、市场营销与销售、服务等各个环节有机的整合起来,真正按照"链"的特征实施企业的业务流程,以达到...     

客户保留:营销管理战略的核心

知识经济时代,客户关系是企业的重要资源,成为企业竞争优势的来源。客户保留不应看成市场营销活动的结果,而应体现为市场营销管理战略的重要目标。分析了传统营销理论和方法的不足,简要介绍了关系营销的概念,客户保留给企业带来的经济收益和非经济收益,从关系营销理论的角度提出了客户保留的战略思路和策略。     

客户与客户战略有关问题研究

客户是企业可持续发展的基石,“以客户为中心”成为服务经济时代的显著标识。本文首先分析了客户的内涵,　 论述了客户的识别及分类管理的有关问题。在此基础上,就客户战略与企业价值链的构建问题做了进一步的探讨。     

我国大型建筑企业客户导向管理战略探讨

本文按照价值链分析框架,通过确定目标客户、开展一对一营销、重组业务流程等主要步骤构建适用于我国大型建筑企业的客户导向管理体系。以此体系为参照,笔者就某大型建筑企业市场经营工作中目标客户、过程经营及关系营销等方面的客户导向管理实践进行了深入探讨。     

客户与客户战略有关问题研究

客户是企业可持续发展的基石,"以客户为中心"成为服务经济时代的显著标识.本文首先分析了客户的内涵,论述了客户的识别及分类管理的有关问题.在此基础上,就客户战略与企业价值链的构建问题做了进一步的探讨.     

基于供应链管理的企业竞争战略

企业战略模式的演进主要表现为红海战略——蓝海战略——绿海战略,21世纪企业竞争模式进一步变化,更多表现出供应链与供应链之间的竞争,供应链上各企业应以创造更多客户价值为目标,竞争战略更强调供应链上各企业的协同发展。该战略模式下企业竞争力可从以下三个层面构建,即选择或创造具有竞争力的产业,构建和维护具有竞争力的供应链,提高企业技术及业务优势。具体策略有确定企业竞争优势、选择竞争合作伙伴、客户关系管理、信息化管理、物流创新管理、联合研发、协调供应各节点企业利益。     

客户管理新概念

一、CRM概念 CRM是 Customer Relationship Management 的简称,其核心部分为市场营销、销售和服务三方面.CRM通过收集、整理客户数据,形成庞大的客户数据库,再通过分类、关系连接、建立数据分析模型等步骤,得出客户群或具体客户的需求趋向,发布这些信息给市场、销售、客服部门,从而让企业能充分了解客户对企业的影响,作出对应的策划和市场决策.     

Study on the relations among the customer knowledge management,learning organization,and organizational performance

This article reports the results of a study of customer knowledge management (CKM) of Taiwanese service businesses in China. Over 600 questionnaires were sent out to the Taiwanese directors and staff in 150 Taiwanese service businesses in Kun-Shan City, China, with 322 valid responses included in the study. Four relationships were examined in the study: the correlation between CKM and organizational performance, between CKM and the learning organization, between organizational performance and the learning organization, and finally the effect of the learning organization on the relationship between CKM and organizational performance. Findings and conclusions are discussed.     

People-driven processes in customer relationship management

Customer relationship management (CRM) is one of the most popular strategies for an organization to satisfy its customers and obtain growth profits. Much attention of the research to date, however, has been paid to strategy, implementation, and organization performance, with the people dimension in CRM being under-researched. This study attempts to investigate the importance of people-driven processes of CRM in organizations and identify factors affecting the effectiveness of people-driven CRM processes. A multiple case study approach was applied and in-depth interviews were conducted with managers from four case companies to identify the factors influencing the people-driven CRM processes. Four dependency factors affecting the effectiveness of people-driven processes were identified, including customer emotional needs, customer involvement, employee capabilities, and organizational customer-oriented culture.     

A novel framework for customer complaint management

Complaining is one option available to customers to express their dissatisfaction with inadequate services. Their complaints contain valuable information for service providers to improve customer relationships and operational quality, which can ultimately enhance business profitability. Customer complaints are frequently handled at the individual level, however, which addresses the symptoms rather than the causes of customer dissatisfaction. This paper presents a framework integrating a decision tree approach, a common data mining tool, into Six Sigma methodology to analyze customer complaints in aggregate and improve service quality by identifying and addressing the underlying causes of failed service. A case study of a restaurant chain was used to demonstrate the effectiveness of the proposed framework. The results indicated a significant (60%) decrease in the number of customer complaints received. Subsequent long-term benefits can be expected.     

An empirical study of dynamic customer relationship management

We apply the Gönül and Shi (1998) approach to the analysis of the optimal messaging and pricing policy mix by studying the past transaction patterns between a local supermarket and its consumers. We develop a dynamic customer relationship management model and investigate the relationship between customer utility and purchasing frequency by modifying the return function of the model discussed in Gönül and Shi (1998). In particular, we extend the analysis to consider a messaging and pricing policy mix, and we use a genetic algorithm in our empirical estimation. When applied to some non-seasonal products in a local supermarket, we find that our model is suitable and far superior to the one-stage model commonly used. Our dynamic model gives the optimal marketing mix strategies in different customer states and the results show that the firm could enjoy a 22% increase in profit.     

基于顾客让渡价值的消费者购物决策探讨

本文首先根据我国电子商务的发展现状,分析了消费者购物决策研究的重要性.在回顾传统的消费者决策模型和网上消费者购物决策模型的基础上,修正了消费者购物决策过程,从顾客让渡价值决定购买行为这一基点来构建购物方式决策模型,最后对该模型的优缺点进行了探讨,并对今后的研究方向作了预测并给予建议.     

Extending customer relationship management into a social context

Informed by the resource-based view, this study draws on customer relationship management (CRM) and value co-creation literature to develop a framework examining the impact of social networking sites on processes to manage customer relationships. Facilitating the depth and networked interactions necessary to truly engage customers, social networking sites act as a means of enhancing customer relationships through the co-creation of value, moving CRM into a social context. Tested and validated on a data set of hotels, the main contribution of the study to service research lies in the extension of CRM processes, termed relational information processes, to include value co-creation processes due to the social capabilities afforded by social networking sites. Information technology competency and social media orientation act as critical antecedents to these processes, which have a positive impact on both financial and non-financial aspects of firm performance. The theoretical and managerial implications of these findings are discussed accordingly.     

Basing service management on customer determinants: The importance of hot pizza

Before tinkering with product and service attributes (such as product price and service speed), it helps to know what's most important to your customers. Discrete-choice analysis can provide that information.     

The role of channel quality in customer equity management

Maximization of customer equity is a core objective of customer–company relationship management. We present an extended model of customer equity for determining the optimal allocation of marketing resources across acquisition and retention activities. Focusing on the negative relationship between acquisition and retention, we motivate channel quality as a relevant decision variable, explicate its role in the model, and demonstrate the existence of an optimal value. In addition, rather than making concavity assumptions about acquisition and retention rate response curves, we use the flexible ADBUDG model (Little, JDC, Models and Managers: the Concept of a Decision Calculus. Manag Sci 1970; 16(8): 466–484.), which allows for both S-shaped and strictly-concave relationships, and parameterize it using decision calculus. We show how to estimate and apply the model and then provide sensitivity analyses with respect to changes in the true values of model parameters as well as inaccuracy in managerial inputs. We conclude by comparing our model with extant models and discussing the implications of our research.