Identification of Economic Agglomerations by Means of
Accounting Data from ERP Systems of Business Entities

D 2013

Identification of Economic Agglomerations by Means of Accounting Data from ERP Systems of Business Entities

HANZAL, Petr and Ivana FALTOVÁ LEITMANOVÁ

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

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

DOI

https://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

Abstract

In the original language

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.

Cite

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. Available from: https://doi.org/10.1007/978-3-319-00542-3_39.

@inproceedings{21681,
   author = {Hanzal, Petr and Faltová Leitmanová, Ivana},
   address = {Cham},
   booktitle = {Nostradamus 2013: Prediction, Modeling & Analysis, AISC 210},
   doi = {https://doi.org/10.1007/978-3-319-00542-3_39},
   editor = {I. Zelinka et al.},
   keywords = {Economic agglomerations; Geostatistical methods; Inverse distance weighted interpolation; Enterprise Resource Planning},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham},
   isbn = {978-3-319-00541-6},
   pages = {385-399},
   publisher = {Springer International Publishing},
   title = {Identification of Economic Agglomerations by Means of Accounting Data from ERP Systems of Business Entities},
   year = {2013}
}

TY  - CONF
ID  - 21681
AU  - Hanzal, Petr - Faltová Leitmanová, Ivana
PY  - 2013
TI  - Identification of Economic Agglomerations by Means of Accounting Data from ERP Systems of Business Entities
PB  - Springer International Publishing
CY  - Cham
SN  - 9783319005416
KW  - Economic agglomerations
KW  - Geostatistical methods
KW  - Inverse distance weighted interpolation
KW  - Enterprise Resource Planning
N2  - 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.
ER  -

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. \textit{Nostradamus 2013: Prediction, Modeling \&{} Analysis, AISC 210}. Cham: Springer International Publishing, 2013, p.~385-399, 14 pp. ISBN~978-3-319-00541-6. Available from: https://doi.org/10.1007/978-3-319-00542-3\_{}39.

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