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   Measuring and Predicting Customer Lifetime Value in Customer Loyalty Analysis: A Knowledge Management Perspective (A Case Study on an e-Retailer)  
   
نویسنده Aghaie Abdollah
منبع international journal of industrial engineering and production research - 2009 - دوره : 20 - شماره : 1&2 - صفحه:21 -30
چکیده    Modern business organizations have appreciated the significance of having competitive advantage through the delivery of continuous improvement towards the customers, and being knowledge-oriented. indisputably, knowledge management (km) plays a key role in the success of customer relationship management (crm). in this regard, customer knowledge management (ckm) is a newly developed concept that deals with knowledge from customers rather than knowledge about customers. however, little research has been done on the application of ckm in e-business. in this paper, after an overview of the literature, an application ofckm in customer lifetime value (clv) measurement is studied in an e-retailer case wherecorporate image and reputation are taken into consideration.
کلیدواژه Customer Knowledge Management (CKM) ,Customer LifetimeValue (CLV) ,Customer Relat ionship Management (CRM) ,Corporate Image ,Neural Networks
آدرس k.n.toosi university of technology, Associate Prof essor, Department ofIndustrial Engineering, ایران
پست الکترونیکی aaghaie@kntu.ac.ir
 
     
   
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