HANZAL, Petr and Ivana FALTOVÁ LEITMANOVÁ. Identification of Economic Agglomerations by Means of Accounting Data from ERP Systems of Business Entities. In I. Zelinka et al. Nostradamus 2013: Prediction, Modeling & Analysis, AISC 210. Cham: Springer International Publishing, 2013. p. 385-399, 14 pp. ISBN 978-3-319-00541-6. doi:10.1007/978-3-319-00542-3_39.
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Basic information
Original name Identification of Economic Agglomerations by Means of Accounting Data from ERP Systems of Business Entities
Name in Czech Identifikace ekonomických aglomerací pomocí účetních dat ERP systémů podnikatelských subjektů
Authors HANZAL, Petr (203 Czech Republic, guarantor, belonging to the institution) and Ivana FALTOVÁ LEITMANOVÁ (203 Czech Republic).
Edition Cham, Nostradamus 2013: Prediction, Modeling & Analysis, AISC 210, p. 385-399, 14 pp. 2013.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50200 5.2 Economics and Business
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/75081431:_____/13:00000342
Organization unit Institute of Technology and Business in České Budějovice
ISBN 978-3-319-00541-6
ISSN 2194-5357
Doi http://dx.doi.org/10.1007/978-3-319-00542-3_39
Keywords (in Czech) Ekonomické aglomerace; Geostatistické metody; Interpolace metodou inverzních vážených vzdáleností; podnikové informační systémy
Keywords in English Economic agglomerations; Geostatistical methods; Inverse distance weighted interpolation; Enterprise Resource Planning
Tags INF_1, INF_2, KPV3, riv13, SCOPUS
Tags Reviewed
Changed by Changed by: Věra Kostková, učo 6173. Changed: 4. 4. 2014 08:51.
The aim of this paper is to introduce the methodology of the identification of common economic agglomerations based on the accounting data gained from business entities in the Czech Republic. The identification of economic agglomerations by descriptive approach should reveal the geographical location and their extent within the country. Although the result of the examination cannot be fully generalised due to a limited data source, it should be considered as the contribution to regional studies of the Czech Republic in the broadest context.
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