Predictive Model for Measuring Sustainability of Manufacturing Companies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU116415" target="_blank" >RIV/00216305:26510/15:PU116415 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5755/j01.ee.26.4.11480" target="_blank" >http://dx.doi.org/10.5755/j01.ee.26.4.11480</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5755/j01.ee.26.4.11480" target="_blank" >10.5755/j01.ee.26.4.11480</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predictive Model for Measuring Sustainability of Manufacturing Companies

Popis výsledku v původním jazyce

The article describes the construction of a predictive model of corporate sustainability, the DACSI Index, for measuring sustainability. The aim of the paper is to propose a predictive model DACSI Index based on economic IEcoi and non-financial indicators IESGi and appropriately selected predictive models DAEco and DAESG for manufacturing companies according to CZ-NACE classification. Predictive models were developed with the use of Multiple Discriminant Analysis (MDA). MDA results showed that the inclusion of non-financial indicators did not result in any significant changes in the classification of companies into individual groups compared to classification on the basis of economic indicators only. From MDA results it also follows that the statistical significance of non-financial indicators is low, but they signal a causal relationship between individual economic and non-financial indicators of sustainability. The results also showed that the predictive model DACSI Index, composed of economic indicators, environmental indicators, social indicators and corporate governance indicators has a much higher accuracy than the predictive model composed of economic indicators only. The essential conclusion of our research into corporate sustainability measurement is that the traditional performance assessment using economic indicators no longer suffices and does not reflect current performance of the company from the long-term perspective, and it is therefore necessary to include both economic and non-financial indicators into the predictive model DACSI Index. And the predictive model DACSI Index is just the type of model that will provide relevant information about the company’s sustainability status to both the owners and investors.

Název v anglickém jazyce

Predictive Model for Measuring Sustainability of Manufacturing Companies

Popis výsledku anglicky

The article describes the construction of a predictive model of corporate sustainability, the DACSI Index, for measuring sustainability. The aim of the paper is to propose a predictive model DACSI Index based on economic IEcoi and non-financial indicators IESGi and appropriately selected predictive models DAEco and DAESG for manufacturing companies according to CZ-NACE classification. Predictive models were developed with the use of Multiple Discriminant Analysis (MDA). MDA results showed that the inclusion of non-financial indicators did not result in any significant changes in the classification of companies into individual groups compared to classification on the basis of economic indicators only. From MDA results it also follows that the statistical significance of non-financial indicators is low, but they signal a causal relationship between individual economic and non-financial indicators of sustainability. The results also showed that the predictive model DACSI Index, composed of economic indicators, environmental indicators, social indicators and corporate governance indicators has a much higher accuracy than the predictive model composed of economic indicators only. The essential conclusion of our research into corporate sustainability measurement is that the traditional performance assessment using economic indicators no longer suffices and does not reflect current performance of the company from the long-term perspective, and it is therefore necessary to include both economic and non-financial indicators into the predictive model DACSI Index. And the predictive model DACSI Index is just the type of model that will provide relevant information about the company’s sustainability status to both the owners and investors.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

<a href="/cs/project/GA14-23079S" target="_blank" >GA14-23079S: Měření podnikové udržitelosti ve vybraných odvětvích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Engineering Economics

ISSN

1392-2785

e-ISSN

2029-5839

Svazek periodika

26

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

10

Strana od-do

442-451

Kód UT WoS článku

000366381600010

EID výsledku v databázi Scopus

2-s2.0-84945262106