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Cites:

Information Journal Paper

Title

A METHODOLOGY BASED ON RFM USING DATA MINING APPROACH TO ASSESS THE CUSTOMER LOYALTY

Pages

  172-179

Abstract

 This study has proposed a new procedure, based on expanded RFM model, determining weight of parameters with pair-wise comparison matrix, clustering the products with K-optimum according to Davies- Bouldin Index, and then classifying customer product loyalty under B2B concept. It is necessary for firms to understand the customers and predict their needs for more success in business. The developed methodology has been implemented in SAPCO Co. The result shows a tremendous capability to the firm to assess the CUSTOMER LOYALTY in marketing strategy designed by this company in comparing with random selection commonly used by most companies in Iran.

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    APA: Copy

    SEYEDHOSSEINI, S.M., GHOLAMIAN, M.R., & MALEKI, A.. (2011). A METHODOLOGY BASED ON RFM USING DATA MINING APPROACH TO ASSESS THE CUSTOMER LOYALTY. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), 22(2), 172-179. SID. https://sid.ir/paper/65968/en

    Vancouver: Copy

    SEYEDHOSSEINI S.M., GHOLAMIAN M.R., MALEKI A.. A METHODOLOGY BASED ON RFM USING DATA MINING APPROACH TO ASSESS THE CUSTOMER LOYALTY. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)[Internet]. 2011;22(2):172-179. Available from: https://sid.ir/paper/65968/en

    IEEE: Copy

    S.M. SEYEDHOSSEINI, M.R. GHOLAMIAN, and A. MALEKI, “A METHODOLOGY BASED ON RFM USING DATA MINING APPROACH TO ASSESS THE CUSTOMER LOYALTY,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), vol. 22, no. 2, pp. 172–179, 2011, [Online]. Available: https://sid.ir/paper/65968/en

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