Profitability of Customer Satisfaction Segments: Genetic Algorithm Method in Multidimensional Clustering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU114559" target="_blank" >RIV/00216305:26510/15:PU114559 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84947601807&origin=inward" target="_blank" >https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84947601807&origin=inward</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Profitability of Customer Satisfaction Segments: Genetic Algorithm Method in Multidimensional Clustering
Original language description
Abstract Due to limited recourses it is difficult for companies to reach a 100% satisfaction level of all customers in all measured factors. Therefore it is argued in this study that the profitability of customer segments is the key driver which companies should take into account in the improvement process of customer satisfaction. The study presents the use of multidimensional genetic algorithm clustering as the efficient method which allows to divide existing customers of a company into relatively homogenous segments according to their satisfaction with the selected factors and on the basis of the profitability of each segment to identify different strategies for the satisfaction improvement process. The suggested procedure is demonstrated on the real data from the field of tea products.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50602 - Public administration
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
In Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth
ISBN
978-0-9860419-4-5
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
2561-2571
Publisher name
Neuveden
Place of publication
Amsterdam, Netherlands
Event location
Amsterdam
Event date
May 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000360508700250