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A data mining approach to developing the profiles of hotel customers

Hokey Min (Logistics and Distribution Institute (LoDI), University of Louisville, Louisville, Kentucky, USA)
Hyesung Min (Department of Hotel Management, Sejong University, Seoul, Korea)
Ahmed Emam (Department of Computer Science and Engineering, University of Louisville, Louisville, Kentucky, USA)

International Journal of Contemporary Hospitality Management

ISSN: 0959-6119

Article publication date: 1 November 2002

9259

Abstract

To stay competitive, hotels need to develop a viable customer retention strategy. Since a key to the successful development of such a strategy rests with customer relationship management, hotels should identify the most profitable ways to build and maintain a loyal customer relationship. In an effort to help hotels understand their customers’ preferences and the ways to interact with the customers, we propose data mining techniques. Based on a case study of luxury hotels in South Korea, this paper demonstrates the usefulness and practicality of the proposed data mining techniques.

Keywords

Citation

Min, H., Min, H. and Emam, A. (2002), "A data mining approach to developing the profiles of hotel customers", International Journal of Contemporary Hospitality Management, Vol. 14 No. 6, pp. 274-285. https://doi.org/10.1108/09596110210436814

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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