The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products
This paper analyzes the relationship between the purchase of pharmaceutical products in pharmacies and the residence of customers. The customers sampled lived in either a city or in a village. The first step in this paper was to statistically detect the differences between residence of a town and a...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Tomas Bata University in Zlín
2012-03-01
|
Series: | Journal of Competitiveness |
Subjects: | |
Online Access: | http://www.cjournal.cz/files/85.pdf |
id |
doaj-410a80d7f6654777af8341fb7c96860e |
---|---|
record_format |
Article |
spelling |
doaj-410a80d7f6654777af8341fb7c96860e2020-11-24T21:16:09ZengTomas Bata University in ZlínJournal of Competitiveness1804-171X1804-17282012-03-01415668The Analysis of the Influence of Residence in the Purchase of Pharmaceutical ProductsValečková JanaThis paper analyzes the relationship between the purchase of pharmaceutical products in pharmacies and the residence of customers. The customers sampled lived in either a city or in a village. The first step in this paper was to statistically detect the differences between residence of a town and a village whiles the second step aimed at detecting the probability of purchase by residents of a city and residents of a village. Regression analysis, specifically logistic regression is used because the dependent variable is binary in nature. The analysis is conducted for five groups of medicaments: (1) medicines for immune support, (2) pharmacy cosmetics, (3) vitamins and minerals, (4) medicines to support the nervous system and (5) painkillers.http://www.cjournal.cz/files/85.pdfpharmaceutical marketlogistic regressionmarketing researchprobability of purchase |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Valečková Jana |
spellingShingle |
Valečková Jana The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products Journal of Competitiveness pharmaceutical market logistic regression marketing research probability of purchase |
author_facet |
Valečková Jana |
author_sort |
Valečková Jana |
title |
The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products |
title_short |
The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products |
title_full |
The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products |
title_fullStr |
The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products |
title_full_unstemmed |
The Analysis of the Influence of Residence in the Purchase of Pharmaceutical Products |
title_sort |
analysis of the influence of residence in the purchase of pharmaceutical products |
publisher |
Tomas Bata University in Zlín |
series |
Journal of Competitiveness |
issn |
1804-171X 1804-1728 |
publishDate |
2012-03-01 |
description |
This paper analyzes the relationship between the purchase of pharmaceutical products in pharmacies and the residence of customers. The customers sampled lived in either a city or in a village. The first step in this paper was to statistically detect the differences between residence of a town and a village whiles the second step aimed at detecting the probability of purchase by residents of a city and residents of a village. Regression analysis, specifically logistic regression is used because the dependent variable is binary in nature. The analysis is conducted for five groups of medicaments: (1) medicines for immune support, (2) pharmacy cosmetics, (3) vitamins and minerals, (4) medicines to support the nervous system and (5) painkillers. |
topic |
pharmaceutical market logistic regression marketing research probability of purchase |
url |
http://www.cjournal.cz/files/85.pdf |
work_keys_str_mv |
AT valeckovajana theanalysisoftheinfluenceofresidenceinthepurchaseofpharmaceuticalproducts AT valeckovajana analysisoftheinfluenceofresidenceinthepurchaseofpharmaceuticalproducts |
_version_ |
1726016797687152640 |