用不同的DEA技术分析atm机的区域性能

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI:10.1109/ICDSBA48748.2019.00023

M. Cedolin, M. E. Genevois

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引用次数: 0

摘要

服务业绩效评价一直是一个具有挑战性的课题。在现实生活中，这些评估通常是由第三方公司根据财务比率做出的。自动柜员机(atm)是银行7/24的客户接触点，其性能直接影响银行的整体业绩。在本研究中，采用数据包络分析(DEA)模型对位于特定区域的土耳其银行的ATM性能进行了评估。专家对案例研究的结果进行了进一步的评价，对解决ATM部署问题有一定的指导意义。

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District Performance of the ATMs by Alternative DEA Techniques

The performance evaluation of the service industry has been always a challenging topic in the literature. In real life, these evaluations are generated in general by third party companies basing on financial ratios. Automated Teller Machines (ATMs) are the 7/24 customer contact point of the banks and their performance directly affects the banks overall performance. In this study, the ATM performances of a Turkish bank, located in a specific zone are evaluated with alternative Data Envelopment Analysis (DEA) models. The results of the case study are further evaluated by the experts and would be beneficial to approach ATM deployment problem.

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2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)

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