Banking Customer Clustering Theory Game Analysis Based on the k-Mean Method and Imperialist Competitive Algorithm in Electronic Banking

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JAFARI ESKANDARI MEISAM; Ostad Akbari Mina

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Journal: ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH Year:2018 | Volume:8 | Issue:3 Page(s): 45-61

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Information Journal Paper

Title

Banking Customer Clustering Theory Game Analysis Based on the k-Mean Method and Imperialist Competitive Algorithm in Electronic Banking

Author(s)

JAFARI ESKANDARI MEISAM | Ostad Akbari Mina | Issue Writer Certificate

Keywords

clusteringQ1

e-bankingQ2

k-Mean MethodQ1

Imperialist Competitive AlgorithmQ1

customer relationship managementQ1

Abstract

e-banking is a new type of banking service where banking services are provided using-environments. This kind of banking activity has spread throughout the world since 1991. Customers are migrating from traditional banking to modern banking with the increase of e-banking services and the provision of various tools for banking transactions. Accordingly, it is important to examine the progress of banks in these tools and the level of customer satisfaction. This study first analyzes the extent of customer satisfaction with these tools by examining customer transactions in Branch, ATM, Internet Bank and Mobile Bank Which has conducted this survey for a hundred thousand customers. After an initial analysis of the use of tools, Customers were clustered using k-Mean Method and Imperialist Competitive Algorithm with MATLAB software and grouped into seven clusters. Then the characteristics of each cluster are examined and strategies for each cluster are presented. In the final stage, we analyzed the strategies proposed by the Shapely value-based game theory approach and the most important strategies proposed. . .

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APA: Copy

JAFARI ESKANDARI, MEISAM, & Ostad Akbari, Mina. (2018). Banking Customer Clustering Theory Game Analysis Based on the k-Mean Method and Imperialist Competitive Algorithm in Electronic Banking. ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH, 8(3 ), 45-61. SID. https://sid.ir/paper/397222/en

Vancouver: Copy

JAFARI ESKANDARI MEISAM, Ostad Akbari Mina. Banking Customer Clustering Theory Game Analysis Based on the k-Mean Method and Imperialist Competitive Algorithm in Electronic Banking. ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH[Internet]. 2018;8(3 ):45-61. Available from: https://sid.ir/paper/397222/en

IEEE: Copy

MEISAM JAFARI ESKANDARI, and Mina Ostad Akbari, “Banking Customer Clustering Theory Game Analysis Based on the k-Mean Method and Imperialist Competitive Algorithm in Electronic Banking,” ORGANIZATIONAL RESOURCES MANAGEMENT RESEARCH, vol. 8, no. 3 , pp. 45–61, 2018, [Online]. Available: https://sid.ir/paper/397222/en

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