Integrating multi-criteria decision making and clustering for business customer segmentation

Purpose – The purpose of this paper is to develop a systematic approach for business customer segmentation. Design/methodology/approach – This study proposes an approach for business customer segmentation that integrates clustering and multi-criteria decision making (MCDM). First, proper segmentatio...

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Vydáno v:	Industrial management + data systems Ročník 115; číslo 6; s. 1022 - 1040
Hlavní autoři:	Güçdemir, Hülya, Selim, Hasan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Wembley Emerald Group Publishing Limited 13.07.2015
Témata:	Algorithms Analytic hierarchy process Behavior Brand loyalty Business Business competition Business machines Cluster analysis Clustering Competition Competitive advantage Customer relationship management Customer satisfaction Customer services Customers Data base management systems Data management systems Decision making Design engineering Genetic algorithms Information & knowledge management Information systems Loyalty programs Manufacturers Market segmentation Markets Mathematical models Multiple criteria decision making Multiple criterion OEM Researchers Segmentation Strategy Studies Variables Viability Business customer segmentation Fuzzy AHP Multi-criteria decision making Data clustering
ISSN:	0263-5577, 1758-5783
On-line přístup:	Získat plný text
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