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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Mendel University Press
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Online Access: | https://acta.mendelu.cz/58/6/0179/ |
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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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1725245161958539264 |