Přístupnostní navigace
E-application
Search Search Close
Publication detail
ŠIMBEROVÁ, I. KOCMANOVÁ, A.
Original Title
Corporate Governance – Research of Key Indicators on Market of Processing Industry in the Czech Republic via Cluster Analysis
Type
journal article - other
Language
English
Original Abstract
The discussion on corporate governance has oriented on practical problems, including corporate fraud, the abuse of managerial power and social irresponsibility. Contemporary cognition implicates the fact that the questions regarding to corporate governance are very actual especially in relation to company competitiveness, company performance and sustainability of success (long term viability). Paper is focused to the current questions regarding to the defi nition of corporate governance, looking for the appropriate conceptual framework and identifi cation of key corporate governance indicators in selected industrial market in the Czech Republic via cluster analysis. The scientifi c aim is looking for the appropriate key indicators in processing industry as a base for the corporate governance performance measurement. The presentations of the results in the paper are just part of selected results in the framework of the elaborated research project titled Construction of Methods for Multifactor Assessment of Company Complex Performance in Selected Sectors.
Keywords
corporate governance, processing industry, performance, key indicators, cluster analysis, Czech Republic
Authors
ŠIMBEROVÁ, I.; KOCMANOVÁ, A.
RIV year
2012
Released
15. 12. 2012
Publisher
ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS
Location
Brno, Czech Republic
ISBN
1211-8516
Periodical
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Year of study
LX
Number
7
State
Czech Republic
Pages from
359
Pages to
368
Pages count
9
BibTex
@article{BUT96908, author="Iveta {Šimberová} and Alena {Kocmanová}", title="Corporate Governance – Research of Key Indicators on Market of Processing Industry in the Czech Republic via Cluster Analysis", journal="Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis", year="2012", volume="LX", number="7", pages="359--368", issn="1211-8516" }