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International Business Management

ISSN: Online
ISSN: Print 1993-5250
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Recognize and Ranking Effective Factors on Pasargad Bank Location Using MCDM and AHP and GIS in Iran (Case Study: Yasouj City)

Raziyeh Koohgard Kataj, Hamideh Ranjbar and Ali Pirzad
Page: 4927-4937 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

The present study mainly aims to identify and rank the effective factors on the location of Pasargad Bank through using multi-criteria decision making techniques in Yasouj City. In other words, it has been tried to answer this question that which are the important criteria and sub-criteria for choosing the location of Pasargad Bank’s branches? And what is the most appropriate place establish the branches in Yasouj City? In this study, 10 people from the experts of Pasargad Banke as well as 270 people from the customers who have deposit in this bank and they have used facilities were investigated. The required information was collected through two questionnaires for experts and customers. The reliability of these two questionnaires was estimated by using Cronbach’s Alpha formula. Data analysis was performed through ArcGIS, expert choice softwares. The effective criteria and sub-criteria on the location of Pasargad bank were identified and ranked and the potential places for building the new branches were specified. Finally, with regarding the limitation of banks’ budget we have chosen the suitable points from these potential points though using the mathematical model of maximum coverage. The results show that the number of 58 thousands demands of the studied region with maximum building of three branches in specified points in addition to one existed branch can be covered.


How to cite this article:

Raziyeh Koohgard Kataj, Hamideh Ranjbar and Ali Pirzad. Recognize and Ranking Effective Factors on Pasargad Bank Location Using MCDM and AHP and GIS in Iran (Case Study: Yasouj City).
DOI: https://doi.org/10.36478/ibm.2016.4927.4937
URL: https://www.makhillpublications.co/view-article/1993-5250/ibm.2016.4927.4937