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User segmentation of online music services using fuzzy clustering

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  • Ozer, Muammer

Abstract

Given the rapid growth of the Internet, companies are trying to take advantage of its offerings, differentiate themselves from their competitors and be more competitive. These objectives can be achieved by providing personalized and enhanced customer service. As different people can use an online service for different reasons, fuzzy clustering can be useful to identify homogenous groups of potential users and to develop customized strategies for each group, thus enabling companies to increase the personalization of their services and to improve their customer service. This study focuses on the online music industry and presents an application of fuzzy clustering. The results show that there exist homogeneous groups among the potential users of an online music service and that there are differences among the groups with respect to their attitudes, interests, and opinions about the service and computers.

Suggested Citation

  • Ozer, Muammer, 2001. "User segmentation of online music services using fuzzy clustering," Omega, Elsevier, vol. 29(2), pages 193-206, April.
    • Handle: RePEc:eee:jomega:v:29:y:2001:i:2:p:193-206
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    References listed on IDEAS

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    1. Ozer, Muammer, 2002. "The role of flexibility in online business," Business Horizons, Elsevier, vol. 45(1), pages 61-69.
    2. Bai, Chunguang & Shi, Baofeng & Liu, Feng & Sarkis, Joseph, 2019. "Banking credit worthiness: Evaluating the complex relationships," Omega, Elsevier, vol. 83(C), pages 26-38.
    3. Bughin, Jacques, 2004. ""Attack or convert?": early evidence from European on-line banking," Omega, Elsevier, vol. 32(1), pages 1-7, February.
    4. Liang, Gin-Shuh & Chou, Tsung-Yu & Han, Tzeu-Chen, 2005. "Cluster analysis based on fuzzy equivalence relation," European Journal of Operational Research, Elsevier, vol. 166(1), pages 160-171, October.
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    6. Miguel Alves Gomes & Tobias Meisen, 2023. "A review on customer segmentation methods for personalized customer targeting in e-commerce use cases," Information Systems and e-Business Management, Springer, vol. 21(3), pages 527-570, September.
    7. Ozer, Muammer, 2007. "Reducing the demand uncertainties at the fuzzy-front-end of developing new online services," Research Policy, Elsevier, vol. 36(9), pages 1372-1387, November.

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