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   Developing A Macro-Segmentation Model At Industry Level: Iranian Banking Industry  
   
نویسنده Hosseini Kashkouyieh Mahmoud ,Asadi Gholam Hossein ,Hamidizadeh Mohammad Reza ,Moqaddasi Mohammad
منبع Journal Of Money And Economy - 2015 - دوره : 10 - شماره : 4 - صفحه:95 -123
چکیده    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.
کلیدواژه Macro-Segmentation ,Manufacturing Industries ,Segmentation Based On Industries ,Hierarchical Clustering ,Banking
آدرس Shahid Beheshti University, Faculty Of Management, Department Of Business Administration, ایران, Shahid Beheshti University, Faculty Of Management, Department Of Business Administration, ایران, Shahid Beheshti University, Faculty Of Management, Department Of Business Administration, ایران, Shahid Beheshti University, ایران
 
 

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