Machine learning in estimating of SMEs investment potential in Ukraine
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Date
2018-05
Journal Title
Journal ISSN
Volume Title
Publisher
CEUR-WS.org
Abstract
The aim of this research is to develop a model of SMEs investment potential assessment, using some of machine learning approaches. The structure of investment potential for SMEs was defined underlining their main characteristic features. It was revealed that the SME investment potential depends on factors of business environment measured by indicators of Annual Doing Business Reports developed by World Bank Group. The methodology for assessing the impact of business environment factors on the SMEs investment potential was developed. This methodology is based on the algorithm of machine learning, which can be used to design a model for forecasting the investment potential of SMEs. This model allows to determine the degree of influence of parameters on the formation of the SMEs investment potential. It is recommended to use computer language Python for optimization of time and human resources. It provides the opportunity to study the effects of the main drivers (both enhancement and reduction) of SMEs investment potential aimed at its improvement. The authors revealed that estimation results could become the basis for elaboration of recommendations regarding improvement of business environment in Ukraine.
Description
Keywords
Machine learning, SME, Investment Potential, Business factors, Assessment model, Python
Citation
Ivashchenko A. Machine learning in estimating of SMEs investment potential in Ukraine / Alla Ivashchenko, Yevheniia Polischuk // Integration, harmonization and knowledge transfer [Електронний ресурс] : proceedings of the 14th international conference on ict in education, research and industrial applications, (Kyiv, Ukraine, May 14–17, 2018). – Електрон. текстові дані. – CEUR-WS.org, online, 2018. – Vol. 2105: Vol. I: Main Conference. – P. 77–93. – Режим доступу: http://ceur-ws.org/Vol-2105/10000077.pdf. – Назва з титул. екрану.