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The Consumption Behaviour Patterns of Consumers 60 + in the Aspect of Purchasing a Selected Technological Product: Comparative Empirical Research in Poland and Slovenia

Najman, Krzysztof; Migdał-Najman, Kamila; Badowska, Sylwia

Abstract:
The paper presents a proposal to identify and analyse consumer purchase behaviour patterns using self-learning GNG neural networks. The employed method is a highly effective tool for analysing multidimensional data sets and e.g. examining purchase patterns. The results suggest that three specific consumer patterns of purchase behaviour exist among the Polish and Slovenian respondents. The findings deepen the knowledge concerning the purchasing behaviour of consumers at the age of 60 +. Parallely, they may be used in shaping international marketing strategies for this consumer group.

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Verlagsausgabe §
DOI: 10.5445/KSP/1000085951/05
Veröffentlicht am 17.06.2019
Coverbild
Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 2363-9881
KITopen-ID: 1000095889
Erschienen in Archives of Data Science, Series A (Online First)
Band 4
Heft 1
Seiten A05, 14 S. online
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