Evaluating the Performance of an Ambidextrous Bank Using an Agent-based Modeling Approach: A Case Study of Sepah Bank

Advances in Mathematical Finance and Applications

مقاله 3، دوره 4، شماره 4، دی 2019، صفحه 39-49   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.22034/amfa.2019.1874765.1269

نویسندگان

Farzaneh Jahanseir Khararoudi¹؛ Adel Azar²؛ Tooraj Karimi^{* 1}

¹Department of Management and Finance, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran

²Department of Industrial Management, School of Management and Economics, Tarbiat Modares University, Tehran, Iran

چکیده

Banks are the financial institutions that collect assets from various sources and allocate them to the sectors that require liquidity. Therefore, banks are an inherent element in the system of every country. As private banks enter financial markets, the demand for diverse banking services increases dramatically. Banks seek to use various techniques to improve their performance in attracting customers to increase their market share and profitability. In this regard, assessing the performance of banks is of utmost importance and has become a major activity of bank managers. With the constant changes in the modern world and incessant attempts of competitors to increase their market share by gaining competitive advantage, special attention should be paid to ambidexterity as a key strategy to increase competitive advantage and achieve high performance in dynamic business environments. The present study aimed to identify the ambidextrous factors affecting the performance of banks and present a model to assess the performance of an ambidextrous bank using an agent-based modeling approach. The main objective of the research is to achieve an applied model for managing the performance of the banking industry. The simulation model is processed using the agent-based modeling approach in AnyLogic software environment.

کلیدواژه‌ها

Agent-based modeling؛ Banking industry؛ performance؛ Organizational ambidexterity

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