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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)
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نویسنده
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Aghaie Abdollah
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منبع
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international journal of industrial engineering and production research - 2009 - دوره : 20 - شماره : 1&2 - صفحه:21 -30
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چکیده
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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.
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کلیدواژه
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Customer Knowledge Management (CKM) ,Customer LifetimeValue (CLV) ,Customer Relat ionship Management (CRM) ,Corporate Image ,Neural Networks
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آدرس
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k.n.toosi university of technology, Associate Prof essor, Department ofIndustrial Engineering, ایران
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پست الکترونیکی
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aaghaie@kntu.ac.ir
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Authors
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