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 a Ivana FALTOVÁ LEITMANOVÁ

Základní údaje

Originální název

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

Název česky

Identifikace ekonomických aglomerací pomocí účetních dat ERP systémů podnikatelských subjektů

Autoři

HANZAL, Petr (203 Česká republika, garant, domácí) a Ivana FALTOVÁ LEITMANOVÁ (203 Česká republika)

Vydání

Cham, Nostradamus 2013: Prediction, Modeling & Analysis, AISC 210, od s. 385-399, 14 s. 2013

Nakladatel

Springer International Publishing

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/75081431:_____/13:00000342

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISBN

978-3-319-00541-6

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-00542-3_39

Klíčová slova česky

Ekonomické aglomerace; Geostatistické metody; Interpolace metodou inverzních vážených vzdáleností; podnikové informační systémy

Klíčová slova anglicky

Economic agglomerations; Geostatistical methods; Inverse distance weighted interpolation; Enterprise Resource Planning

Štítky

INF_1, INF_2, KPV3, riv13, SCOPUS

Příznaky

Recenzováno

Změněno: 4. 4. 2014 08:51, Věra Kostková

Anotace

V originále

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.

Citovat

HANZAL, Petr a 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, s. 385-399, 14 s. ISBN 978-3-319-00541-6. Dostupné z: https://dx.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 = {http://dx.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  - JOUR
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 a 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, s.~385-399, 14 s. ISBN~978-3-319-00541-6. Dostupné z: https://dx.doi.org/10.1007/978-3-319-00542-3\_{}39.

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