Title of article
Measuring and Predicting Customer Lifetime Value in Customer Loyalty Analysis: A Knowledge Management Perspective (A Case Study on an e-Retailer)
Author/Authors
Aghaie, Abdollah k.n.toosi university of technology - Associate Prof essor - Department ofIndustrial Engineering, تهران, ايران
From page
21
To page
30
Abstract
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 where Corporate Image and Reputation are taken into consideration.
Keywords
Customer Knowledge Management (CKM) , Customer Lifetime Value (CLV) , Customer Relat ionship Management (CRM) , Corporate Image , Neural Networks
Journal title
International Journal of Industrial Engineering and Production Research
Journal title
International Journal of Industrial Engineering and Production Research
Record number
2564960
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