Volume 10, Issue 4 (Fall 2015)                   J. Mon. Ec. 2015, 10(4): 95-123 | Back to browse issues page

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Hosseini Kashkouyieh S M, Asadi G H, Hamidizadeh M R, Moqaddasi M. Developing a Macro-segmentation Model at Industry Level: Iranian Banking Industry. J. Mon. Ec.. 2015; 10 (4) :95-123
URL: http://jme.mbri.ac.ir/article-1-175-en.html
1- Department of Business Administration, Faculty of Management, Shahdi Beheshti University
Abstract:   (2452 Views)

Drastic changes and turbulence in macro-economic factors have the greatest impact on banks target market attractiveness in Iran. It is assumed that conventional segmentation models at the corporate level are not efficient for banking system. This study aims to develop a new segmentation model at the industry level for banks of Iran. For this purpose, structures and variables at the industry level were identified and defined by reviewing the literature and with the help of bank experts in focus group sessions. Then, data of ISIC 3-digit factories with 50 and more employees were extracted from Iran Statistic Center and Tehran Stock Exchange databases during 2005-2013. We used Hierarchical Cluster analysis in each year and identified 4 study groups across 9 years. We found that identified groups are significantly different regarding industry size, deposit and loan market size, industry growth, deposit
and loan market growth, profitability, investment risk, and transaction with other industries.

 Keywords: Macro-segmentation, Manufacturing Industries, Segmentation based on industries, Hierarchical Clustering, Banking.

JEL Classification: E44, G21, L60, M31, C67, C82

Full-Text [PDF 601 kb]   (2970 Downloads)    
Type of Study: Original Research - Theoric | Subject: Macroeconomics
Received: 26 Jul 2016 | Accepted: 22 Apr 2017 | Published: 22 Apr 2017

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