THE STATISTICAL RESULTS OF ACTIVITIES CATEGORIZATION IN CZECH AGRICULTURAL COMPANIES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F16%3A70323" target="_blank" >RIV/60460709:41110/16:70323 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1515/sab-2016-0020" target="_blank" >http://dx.doi.org/10.1515/sab-2016-0020</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/sab-2016-0020" target="_blank" >10.1515/sab-2016-0020</a>
Alternative languages
Result language
angličtina
Original language name
THE STATISTICAL RESULTS OF ACTIVITIES CATEGORIZATION IN CZECH AGRICULTURAL COMPANIES
Original language description
To have the separate components of a business model identified and have them correctly adjusted is an important strategic device for every entrepreneur in todays competitive environment. The paper deals with different types of business models applied in this sector of small and medium size farms in the Czech Republic. The main aim of this paper is to identify and categorize activities undertaken by Czech farmers into homogeneous clusters and to offer recommendations on modification of the business model. The research was based on data from the Farm Accountancy Data Network. The principal component analysis and cluster analysis were carried out as part of the assessment, under which farms are categorized into homogenous groups. The results showed that the farms surveyed can be categorized according to similar economic characteristics, production plans and implementation processes into three basic clusters. The first business model is elaborated for the classical field production and the production, th
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientia Agriculturae Bohemica
ISSN
1211-3174
e-ISSN
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Volume of the periodical
3/2016
Issue of the periodical within the volume
47
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
129-139
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84992337698