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
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