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Modeling the effect of electronic banking expansion on profitability using neural networks and system dynamics approach

机译:使用神经网络和系统动力学方法建模电子银行扩张对盈利能力的影响

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Purpose - The purpose of this study is to investigate the effects of electronic banking (e-banking) on the profitability of banks is an important subject. Although there are many studies in this area, the effect of using different e-banking instruments, such as internet banking, telephone banking, ATM and POS, was not investigated comprehensively, using a system dynamics approach. To fill this gap, the present study tried to develop an analytical model with a systematic approach through identifying the effects of different areas of e-banking services in a financial institution. Design/methodology/approach - The income and cost of each transaction via different e-banking services were identified and the incomes and costs, number of transactions and other model variables were predicted for the next period using a single-layer neural network (perceptron). The proposed model was designed based on the system dynamics approach. Then, rates and auxiliary variables were introduced to the model based on the prediction data. Finally, the model was validated and different scenarios were examined. Findings - Results showed that increased investment on e-banking can increase online customers, thereby boosting the bank's incomes through raising transaction fees and acquiring additional resources. On the other hand, the need for physical branches and associated costs reduces with increasing the tendency of traditional customers toward using e-banking services. Simulation results showed that although the expansion of e-banking carries a huge financial burden on the bank, the costs reduce and profitability significantly increases with time. Originality/value - This study can be used by senior managers of the bank throughout e-banking planning. This is because it systematically addressed the effects of e-banking expansion on different (banking) areas. The present study may also encourage researchers to conduct more extensive studies.
机译:目的 - 本研究的目的是调查电子银行(电子银行)对银行盈利能力的影响是一个重要的主题。虽然在这方面有很多研究,但使用系统动态方法,没有全面调查使用不同的电子银行工具,例如网上银行,电话银行,ATM和POS的效果。为了填补这一差距,目前的研究试图通过识别金融机构在金融机构的不同领域的影响来开发一个具有系统方法的分析模型。设计/方法/方法 - 通过不同电子银行服务的每笔交易的收入和成本进行了确定,使用单层神经网络(Perceptron)对下一个时段预测了收入和成本,交易数量和其他模型变量。所提出的模型是根据系统动态方法设计的。然后,基于预测数据将速率和辅助变量引入模型。最后,验证了该模型,检查了不同的情景。结果 - 结果表明,对电子银行的投资增加可以增加在线客户,从而通过提高交易费用来提高银行的收入,从而提升额外资源。另一方面,随着传统客户朝着使用电子银行服务的趋势,对物理分支和相关成本的需求减少。仿真结果表明,虽然电子银行业务的扩展对银行进行了巨大的金融负担,但成本减少和盈利能力随着时间的推移显着增加。原创性/价值 - 本研究可以通过银行的高级管理人员在整个电子银行规划中使用。这是因为它系统地解决了电子银行扩展对不同(银行)区域的影响。本研究还可以鼓励研究人员进行更广泛的研究。

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