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Information Journal Paper

Title

CHURN ANALYSIS FOR AN IRANIAN MOBILE OPERATOR CUSTOMERS; USING DATA MINING

Pages

  63-91

Abstract

 To avoid CUSTOMER CHURN it is important for organizations to analyze their customers' behaviors and needs. In this paper attitudes leading to CUSTOMER CHURN in a mobile operator are investigated. Logistic Regression Analysis is applied to analyze profile data of 3150 registered users of a mobile operator in Iran. Results show that customer complaint number, the extent of service use, and demographic characteristics of users are the most important factors affecting CUSTOMER CHURN. Moreover, results of hierarchical regression analysis show that customer status (active or inactive) plays a mediating role between CUSTOMER CHURN and customer profile.

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    Cite

    APA: Copy

    KERAMATI, ABAS, SEYEDIN ARDABILI, S.M., & SOHRABI, BABAK. (2009). CHURN ANALYSIS FOR AN IRANIAN MOBILE OPERATOR CUSTOMERS; USING DATA MINING. IRANIAN JOURNAL OF MANAGEMENT SCIENCES, 4(14), 63-91. SID. https://sid.ir/paper/130413/en

    Vancouver: Copy

    KERAMATI ABAS, SEYEDIN ARDABILI S.M., SOHRABI BABAK. CHURN ANALYSIS FOR AN IRANIAN MOBILE OPERATOR CUSTOMERS; USING DATA MINING. IRANIAN JOURNAL OF MANAGEMENT SCIENCES[Internet]. 2009;4(14):63-91. Available from: https://sid.ir/paper/130413/en

    IEEE: Copy

    ABAS KERAMATI, S.M. SEYEDIN ARDABILI, and BABAK SOHRABI, “CHURN ANALYSIS FOR AN IRANIAN MOBILE OPERATOR CUSTOMERS; USING DATA MINING,” IRANIAN JOURNAL OF MANAGEMENT SCIENCES, vol. 4, no. 14, pp. 63–91, 2009, [Online]. Available: https://sid.ir/paper/130413/en

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