Value Generators of Enterprises in the Processing Industry
Value Generators of Enterprises in the Processing Industry

Author(s): Veronika Machová, Zuzana Rowland
Subject(s): Social Sciences, Economy
Published by: Vysoká škola ekonomická v Praze
Keywords: Value generators; artificial neural networks; economic value added; processing industry
Summary/Abstract: Purpose:The purpose of this article is to find out value generators of industrial enterprises having operated on the Czech market in 2015. Design/methodology/approach:The analysed data come from Albertina database. The dataset (data of their complete financial statements) contains records of 500 enterprises altogether. We calculateEVA value for shareholders (owners) of each enterprise of its operation on the market. Data mining and automated neural networks (radial basic function and multilayer perceptron networks) will be used as major tools. Findings:A reliable method was developed,and value generators of industrial enterprises having operated in the Czech Republic in 2015 were identified. The most important variables were defined. They are long-term receivables, material and energy consumption, power consumption, equity and basic capital. Research/practical implications:Enterprises of the processing industry should mainly focus on suggested value generators, their management and optimization. Thus, they get a higher EVA Equity and reach their major goal –value growth for shareholders (owners). Originality/value: As a result, verifying the method for identifying value generators and appreciating their importance in the model should be considered as the most important part.At the same time, four central problems, which need to be dealt with within the further research, have been identified. They are wise choice of variables, dependence (or independence) of variables, size of the data file and stationarity of the data

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