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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100833


    Title: Behavioral scoring model for bank customers using data envelopment analysis
    Authors: I-Fei Chen;Chi-Jie Lu;Tian-Shyug Lee;Chung-Ta Lee
    Contributors: 管理科學學系暨研究所
    Date: 2012-01
    Issue Date: 2015-03-16 10:14:08 (UTC+8)
    Publisher: Journal of Data Analysis
    Abstract: This study proposes a behavior scoring model based on data envelopment analysis (DEA) to classify the customers into the high contribution and low contribution customers. Then, the low contribution customers are examined by using the slack analysis of DEA model to promote their contributions. The experiment results showed that the proposed method can provide indeed directions for bank to improve the contribution of the low contribution customers, and facilitates marketing strategy development.
    Relation: Studies in Computational Intelligence 7(2), pp.103-124
    DOI: 10.1007/978-3-540-92814-0_16
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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