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.
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Chen, IF., Lu, CJ., Lee, TS., Lee, CT. (2009). Behavioral Scoring Model for Bank Customers Using Data Envelopment Analysis. In: Chien, BC., Hong, TP. (eds) Opportunities and Challenges for Next-Generation Applied Intelligence. Studies in Computational Intelligence, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92814-0_16
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DOI: https://doi.org/10.1007/978-3-540-92814-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92813-3
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