Authors : Martina Eernikova and Sarka Hyblerova
Abstract: 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 study 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.
Martina Eernikova and Sarka Hyblerova, 2018. An Approach to Environmental Investment Decision-Making. Journal of Engineering and Applied Sciences, 13: 3677-3682.