Detail publikace

Predictive Model for Measuring Sustainability of Manufacturing Companies

KOCMANOVÁ, A. SIMANAVIČIENÉ, Ž. PAVLÁKOVÁ DOČEKALOVÁ, M.

Originální název

Predictive Model for Measuring Sustainability of Manufacturing Companies

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

sustainability measurement; predictive model; Multiple Discriminant Analysis; indicators; economics; environmental; social; corporate governance; performance

Autoři

KOCMANOVÁ, A.; SIMANAVIČIENÉ, Ž.; PAVLÁKOVÁ DOČEKALOVÁ, M.

Rok RIV

2015

Vydáno

11. 11. 2015

Nakladatel

Kaunas University of Technology

ISSN

1392-2785

Periodikum

Engineering Economics

Ročník

26

Číslo

4

Stát

Litevská republika

Strany od

442

Strany do

451

Strany počet

10

URL

Plný text v Digitální knihovně

BibTex

@article{BUT118648,
  author="Alena {Kocmanová} and Žaneta {Simanavičiené} and Marie {Pavláková Dočekalová}",
  title="Predictive Model for Measuring Sustainability of Manufacturing Companies",
  journal="Engineering Economics",
  year="2015",
  volume="26",
  number="4",
  pages="442--451",
  doi="10.5755/j01.ee.26.4.11480",
  issn="1392-2785",
  url="https://inzeko.ktu.lt/index.php/EE/article/view/11480"
}