MANAGEMENT OF INNOVATION OF THE ECONOMIC POTENTIAL OF THE RURAL ENTERPRISES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00001804" target="_blank" >RIV/75081431:_____/20:00001804 - isvavai.cz</a>
Result on the web
<a href="https://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=E3EbnQBNLRrwp7fPR2G&page=1&doc=1" target="_blank" >https://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=E3EbnQBNLRrwp7fPR2G&page=1&doc=1</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MANAGEMENT OF INNOVATION OF THE ECONOMIC POTENTIAL OF THE RURAL ENTERPRISES
Original language description
The analysis and management of innovation of the economic potential of the rural enterprises are currently the limiting factors of the stability and development of the enterprises; on the other hand, it is a condition for maintaining rural viability. Innovation is a catalyst for the growth of the enterprises, both within their internal environment and in the rural areas and the settlements established in such areas. Only the interconnection of the two levels of innovation (corporate and territorial) ensures stability and profitability for the enterprise. The paper focuses on the latter-mentioned part of innovation, both in terms of the methodology and research. The method for determining the innovative economic potential of rural settlements is presented in the paper, defined as the existential and development base for different enterprises. In relation, the paper discusses the issue of quantification of the economic potential of the clusters. The data acquisition is based on secondary data of the LAGs of the South Bohemian Region and the data from Ekotoxa. All municipalities of Trebonsko LAG (Czech Republic) are included in the data collection. The method for clustering the municipalities by their specifics, is supposed to be the most important result of the research, together with defining the areas suitable for innovation processes. Four models - Economic Cluster, Social Cluster, Cluster of Infrastructure, and Cluster of Environment - are defined based on four groups of the variables (economic, social, infrastructure, and environmental). A municipality is classified into an appropriate group based on the group (pillar) in which the municipality scored the highest average order. The average order of the municipality in each pillar is calculated as well. The method is followed by a verified procedure for defining the business potential of the clusters. The stepwise backward regression method is used to define the index of progressivity of the economic structure, determining the socio-economic differentiation of the regions in the Czech Republic. Regarding both the methodological procedure and the analytical tool, it is possible to state their suitable choice; the research results are relevant, valid, and usable inpractice. The activities with high economic and innovation potential in the tested area include transport services, availability of the services, municipal infrastructure, drinking water supply, the occurrence of water bodies, and the structure of the population.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MARKETING AND MANAGEMENT OF INNOVATIONS
ISSN
2218-4511
e-ISSN
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Volume of the periodical
2020
Issue of the periodical within the volume
2
Country of publishing house
UA - UKRAINE
Number of pages
14
Pages from-to
340-353
UT code for WoS article
000545377200025
EID of the result in the Scopus database
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