An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Science & Nature, Technology
Cover of the book An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry by Alireza Faed, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alireza Faed ISBN: 9783319003245
Publisher: Springer International Publishing Publication: June 12, 2013
Imprint: Springer Language: English
Author: Alireza Faed
ISBN: 9783319003245
Publisher: Springer International Publishing
Publication: June 12, 2013
Imprint: Springer
Language: English

This thesis addresses the issue of customer complaints in the context of Customer Relationship Management (CRM). After a comprehensive survey of the current literature on CRM, the thesis describes the development of a new intelligent CRM (I-CRM) framework, which integrates text analytics, type mapping, SPSS, structural equation modeling, and linear and fuzzy approaches. This new methodology, in contrast to previous ones, is able to handle customer complaints with respect to different variables, thus allowing organizations to find their key customers and key complaints, and to address and provide solution to the major complaints of the key customers, hence promoting business development. The thesis  also describes the successful application of the method to a real-world case, represented by the immeasurable truck drivers complaints at the Fremantle port in Western Australia.

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This thesis addresses the issue of customer complaints in the context of Customer Relationship Management (CRM). After a comprehensive survey of the current literature on CRM, the thesis describes the development of a new intelligent CRM (I-CRM) framework, which integrates text analytics, type mapping, SPSS, structural equation modeling, and linear and fuzzy approaches. This new methodology, in contrast to previous ones, is able to handle customer complaints with respect to different variables, thus allowing organizations to find their key customers and key complaints, and to address and provide solution to the major complaints of the key customers, hence promoting business development. The thesis  also describes the successful application of the method to a real-world case, represented by the immeasurable truck drivers complaints at the Fremantle port in Western Australia.

 

More books from Springer International Publishing

Cover of the book New Prospects in Geotechnical Engineering Aspects of Civil Infrastructures by Alireza Faed
Cover of the book Knowledge Engineering and Knowledge Management by Alireza Faed
Cover of the book Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part IV by Alireza Faed
Cover of the book Youth and Substance Abuse by Alireza Faed
Cover of the book Sparse Grids and Applications - Miami 2016 by Alireza Faed
Cover of the book Reticulate Evolution by Alireza Faed
Cover of the book Toward a Cosmopolitan Ethics of Mobility by Alireza Faed
Cover of the book Advances in Safety Management and Human Factors by Alireza Faed
Cover of the book US Foreign Policy in a Challenging World by Alireza Faed
Cover of the book Atlas of Graft-versus-Host Disease by Alireza Faed
Cover of the book Solder Joint Reliability Assessment by Alireza Faed
Cover of the book Synthetic Biology – Metabolic Engineering by Alireza Faed
Cover of the book Electrically Assisted Forming by Alireza Faed
Cover of the book Wired/Wireless Internet Communications by Alireza Faed
Cover of the book Adapting to an Uncertain Climate by Alireza Faed
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy