An Approach to Environmental Investment Decision-Making

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F18%3A00005587" target="_blank" >RIV/46747885:24310/18:00005587 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3923/jeasci.2018.3677.3682" target="_blank" >http://dx.doi.org/10.3923/jeasci.2018.3677.3682</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3923/jeasci.2018.3677.3682" target="_blank" >10.3923/jeasci.2018.3677.3682</a>

Result language

angličtina

Original language name

An Approach to Environmental Investment Decision-Making

Original language description

Strategic decision-making processes utilized by company managers mainly involve decision-making with respect to a company’s investment activities. In accordance with the principles of sustainable development, the environmental aspects of any planned investment should be incorporated in investment decision-making processes. Selection of the best investment strategy is based on multi-criterial decision-making which is, in addition, variable over the long run. One of the many data mining modelling algorithms can be used to support the demanding process of selecting a suitable investment activity. Subject to certain prerequisites and limitations, the neural network model can be used for making investment decisions. The aim of this article is investigation of factors that can influence the selection of an environmental investment alternative using multi-criterial decision-making. Modern procedures and tools should be used to support these decision-making. Only relevantly collected, processed and analysed data can provide enterprise managers with a sufficient information platform when making qualified decisions.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50206 - Finance

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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

Name of the periodical

Journal of Engineering and Applied Sciences

ISSN

1816-949X

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

4

Country of publishing house

AE - UNITED ARAB EMIRATES

Number of pages

6

Pages from-to

3677-3682

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85050205139