Modeling and analyzing customer data in customer relationship management with artificial neural networks
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Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Gazi Univ, Fac Engineering Architecture
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Customers must keep customer satisfaction as a top priority in order to keep up with increasing competition. In order to achieve, they need to be able to analyze their customers properly and pay attention to their individual expectations. It is important for companies to maximize customer satisfaction and dependence. The success of Companies depends on the extent to how they manage to become 'indispensable' for their customers. It is related with how they determine important points for the satisfaction of their customers, and reflect it back accordingly. In order to make this assessment, companies must first consider their customers as groups. This study aims to analyze customer information, by artificial neural networks, which cannot be handled by mathematical models and optimization techniques, thus improve marketing process for determining important factors and their levels for customer satisfaction.
Açıklama
Birgoren, Burak/0000-0001-9045-6092
Anahtar Kelimeler
Customer relationship management, artificial neural network
Kaynak
Journal Of The Faculty Of Engineering And Architecture Of Gazi University
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
23
Sayı
4
Künye
closedAccess
