Multidimensional modelling of social performance indicators in processing industry companies in the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F13%3APU104008" target="_blank" >RIV/00216305:26510/13:PU104008 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Multidimensional modelling of social performance indicators in processing industry companies in the Czech Republic
Popis výsledku v původním jazyce
The contribution focuses on the identification of social performance indicators, i.e. the key ESG performance indicators. Successive stages and various statistical methods were applied to draft social indicators. The first stage included the method of selection of social indicators from the international sources of organizations and voluntary social tools; subsequently, a questionnaire was drawn up. Empirical analysis was undertaken in the years 2011-2012 in 79 companies involved in the processing per CZ-NACE. Univariate analysis of all variables preceded all stages of the selection of social indicators. T-test was used to test the relations among CSR and social indicators. Cluster analysis studied the file of social indicators in the subsequent stageof research; reduced social indicators to measure corporate performance were developed accordingly. -------------------------------------------------------------------------------- The contribution focuses on the identification of social
Název v anglickém jazyce
Multidimensional modelling of social performance indicators in processing industry companies in the Czech Republic
Popis výsledku anglicky
The contribution focuses on the identification of social performance indicators, i.e. the key ESG performance indicators. Successive stages and various statistical methods were applied to draft social indicators. The first stage included the method of selection of social indicators from the international sources of organizations and voluntary social tools; subsequently, a questionnaire was drawn up. Empirical analysis was undertaken in the years 2011-2012 in 79 companies involved in the processing per CZ-NACE. Univariate analysis of all variables preceded all stages of the selection of social indicators. T-test was used to test the relations among CSR and social indicators. Cluster analysis studied the file of social indicators in the subsequent stageof research; reduced social indicators to measure corporate performance were developed accordingly. -------------------------------------------------------------------------------- The contribution focuses on the identification of social
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AE - Řízení, správa a administrativa
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GAP403%2F11%2F2085" target="_blank" >GAP403/11/2085: Konstrukce metod pro vícefaktorové měření komplexní podnikové výkonnosti ve vybraném odvětví.</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
ISSN
1998-0140
e-ISSN
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Svazek periodika
7
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
7
Strana od-do
500-507
Kód UT WoS článku
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EID výsledku v databázi Scopus
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