Application of knowledge management technology in customer relationship management

Given the important role being played by knowledge management (KM) systems in the current customer-centric business environment, there is a lack of a simple and overall framework to integrate the traditional customer relationship management (CRM) functionalities with the management and application of the customer-related knowledge, particularly in the context of marketing decisions. While KM systems manage an organization's knowledge through the process of creating, structuring, disseminating and applying knowledge to enhance organizational performance and create value, traditional CRM have focused on the transactional exchanges to manage customer interactions. True CRM is possible only by integrating them with KM systems to create knowledge-enabled CRM processes that allow companies to evaluate key business measures such as customer satisfaction, customer profitability, or customer loyalty to support their business decisions. Such systems will help marketers address customer needs based on what the marketers know about their customers, rather than on a mass generalization of the characteristics of customers. We address this issue in this paper by proposing an integrated framework for CRM through the application of knowledge management technology. The framework can be the basis for enhancing CRM development. Copyright © 2003 John Wiley & Sons, Ltd.

[1]  Dario Maio,et al.  A modular user-oriented decision support for physical database design , 1987 .

[2]  Katia P. Sycara,et al.  Distributed Intelligent Agents , 1996, IEEE Expert.

[3]  Steve Offsey,et al.  Knowledge Management: Linking People to Knowledge for Bottom Line Results , 1997, J. Knowl. Manag..

[4]  Michael J. A. Berry,et al.  Data mining techniques - for marketing, sales, and customer support , 1997, Wiley computer publishing.

[5]  Jay Liebowitz.  Information Technology Management: A Knowledge Repository , 1998 .

[6]  Wayne Applehans,et al.  Managing Knowledge: A Practical Web-Based Approach , 1998 .

[7]  V. Balasubramanian,et al.  Document management and Web technologies: Alice marries the Mad Hatter , 1998, CACM.

[8]  Agostino Poggi,et al.  Jade - a fipa-compliant agent framework , 1999 .

[9]  Stanley A. Brown.  Customer Relationship Management: A Strategic Imperative in the World of e-Business , 1999 .

[10]  Karl M. Wiig,et al.  What future knowledge management users may expect , 1999, J. Knowl. Manag..

[11]  Vijayan Sugumaran,et al.  Application of intelligent agent technology for managerial data analysis and mining , 1999, DATB.

[12]  Piero Fraternali,et al.  Tools and approaches for developing data-intensive Web applications: a survey , 1999, CSUR.

[13]  Pattie Maes,et al.  Agents that buy and sell , 1999, CACM.

[14]  Derek Leebaert,et al.  The future of the electronic marketplace , 1999 .

[15]  Vladan Devedžić,et al.  A survey of modern knowledge modeling techniques , 1999 .

[16]  Gilbert Probst,et al.  Managing Knowledge: Building Blocks for Success , 1999 .

[17]  Loren Paul Rees,et al.  Using Autonomous Software Agents to Create the Next Generation of Decision Support Systems , 2000, Decis. Sci..

[18]  G. Day.  Managing market relationships , 2000 .

[19]  P. John Clarkson,et al.  Web-Based Knowledge Management for Distributed Design , 2000, IEEE Intell. Syst..

[20]  Ravi Kalakota,et al.  e-Business 2.0: Roadmap for Success , 2000 .

[21]  Ian H. Gordon,et al.  Relationship Marketing: New Strategies, Techniques and Technologies to Win the Customers You Want and Keep Them Forever , 2000 .

[22]  Alan Fowler,et al.  The role of AI-based technology in support of the knowledge management value activity cycle , 2000, J. Strateg. Inf. Syst..

[23]  A. Parasuraman,et al.  The impact of technology on the quality-value-loyalty chain: A research agenda , 2000 .

[24]  Olivier Corby,et al.  Building and Searching an XML-Based Corporate Memory , 2000, IEEE Intell. Syst..

[25]  Thomas H. Davenport,et al.  Book review:Working knowledge: How organizations manage what they know. Thomas H. Davenport and Laurence Prusak. Harvard Business School Press, 1998. $29.95US. ISBN 0‐87584‐655‐6 , 1998 .

[26]  Kishore Sengupta,et al.  Integrated Analysis and Design of Knowledge Systems and Processes , 2000, Inf. Resour. Manag. J..

[27]  Ian Horrocks,et al.  The Semantic Web: The Roles of XML and RDF , 2000, IEEE Internet Comput..

[28]  Varun Grover,et al.  General Perspectives on Knowledge Management: Fostering a Research Agenda , 2001, J. Manag. Inf. Syst..

[29]  R. Winer.  A Framework for Customer Relationship Management , 2001 .

[30]  Albert H. Segars,et al.  Knowledge Management: An Organizational Capabilities Perspective , 2001, J. Manag. Inf. Syst..

[31]  Wilhelm Dangelmaier,et al.  CRM-systems as technology enabler for a customer-oriented knowledge management , 2001, PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199).

[32]  Dong-Jun Wu,et al.  Software agents for knowledge management: coordination in multi-agent supply chains and auctions , 2001, Expert Syst. Appl..

[33]  Rajiv Kohli,et al.  Managing customer relationships through E-business decision support applications: a case of hospital-physician collaboration , 2001, Decis. Support Syst..

[34]  Ramón F. Brena,et al.  Multiagent-based knowledge networks , 2001, Expert Syst. Appl..

[35]  David E. Smith,et al.  Linking e-business and operating processes: The role of knowledge management , 2001, IBM Syst. J..

[36]  Katherine N. Lemon,et al.  The Customer Pyramid: Creating and Serving Profitable Customers , 2001 .

[37]  Varun Grover,et al.  Special Issue: Knowledge Management , 2001, J. Manag. Inf. Syst..

[38]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..