Quantitative data systemization and visualisation in marketing research: groceries selection determinants

The paper aims to fill in the gap in effective interpretation of the results obtained when systemizing the marketing data by cluster analysis. The graphic visualization of the cluster analysis results is developed in the way the marketing information can be more easily readable and interpretable. Us...

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Main Authors: Jitka Janová, Ladislav Stejskal
Format: Article
Language:English
Published: Mendel University Press 2010-01-01
Series:Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Subjects:
Online Access:https://acta.mendelu.cz/58/6/0179/
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spelling doaj-63d40baaa3dc4032bc7f2a9d669decff2020-11-25T00:51:34ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102010-01-0158617918810.11118/actaun201058060179Quantitative data systemization and visualisation in marketing research: groceries selection determinantsJitka Janová0Ladislav Stejskal1Ústav statistiky a operačního výzkumu, Mendelova univerzita v Brně, 613 00 Brno, Česká republikaÚstav marketingu a obchodu, Mendelova univerzita v Brně, 613 00 Brno, Česká republikaThe paper aims to fill in the gap in effective interpretation of the results obtained when systemizing the marketing data by cluster analysis. The graphic visualization of the cluster analysis results is developed in the way the marketing information can be more easily readable and interpretable. Using the primary research data concerning decision making process of consumer when purchasing gro­ce­ries, the systemization of consumers using hierarchical cluster analysis is performed for several sets of consumers’ characteristics and for each case the graphic visualization is developed. The graphical information is interpreted and the marketing impacts of the results obtained by the cluster analysis and presented by the visualization are discussed. Range of possible applications of the procedure constructed encompasses also other spheres of primary and secondary marketing research and ge­ne­ral­ly is useful for the effective analyses of various statistical surveys. https://acta.mendelu.cz/58/6/0179/consumer behaviourconsumer decision makingcluster analysisdecision making support
collection DOAJ
language English
format Article
sources DOAJ
author Jitka Janová
Ladislav Stejskal
spellingShingle Jitka Janová
Ladislav Stejskal
Quantitative data systemization and visualisation in marketing research: groceries selection determinants
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
consumer behaviour
consumer decision making
cluster analysis
decision making support
author_facet Jitka Janová
Ladislav Stejskal
author_sort Jitka Janová
title Quantitative data systemization and visualisation in marketing research: groceries selection determinants
title_short Quantitative data systemization and visualisation in marketing research: groceries selection determinants
title_full Quantitative data systemization and visualisation in marketing research: groceries selection determinants
title_fullStr Quantitative data systemization and visualisation in marketing research: groceries selection determinants
title_full_unstemmed Quantitative data systemization and visualisation in marketing research: groceries selection determinants
title_sort quantitative data systemization and visualisation in marketing research: groceries selection determinants
publisher Mendel University Press
series Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
issn 1211-8516
2464-8310
publishDate 2010-01-01
description The paper aims to fill in the gap in effective interpretation of the results obtained when systemizing the marketing data by cluster analysis. The graphic visualization of the cluster analysis results is developed in the way the marketing information can be more easily readable and interpretable. Using the primary research data concerning decision making process of consumer when purchasing gro­ce­ries, the systemization of consumers using hierarchical cluster analysis is performed for several sets of consumers’ characteristics and for each case the graphic visualization is developed. The graphical information is interpreted and the marketing impacts of the results obtained by the cluster analysis and presented by the visualization are discussed. Range of possible applications of the procedure constructed encompasses also other spheres of primary and secondary marketing research and ge­ne­ral­ly is useful for the effective analyses of various statistical surveys.
topic consumer behaviour
consumer decision making
cluster analysis
decision making support
url https://acta.mendelu.cz/58/6/0179/
work_keys_str_mv AT jitkajanova quantitativedatasystemizationandvisualisationinmarketingresearchgroceriesselectiondeterminants
AT ladislavstejskal quantitativedatasystemizationandvisualisationinmarketingresearchgroceriesselectiondeterminants
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