DSpace Institutional Repository of Vadym Hetman Kyiv National Economic University
 

iRKNEU >
Факультет фінансів >
Кафедра корпоративних фінансів і контролінгу >

Please use this identifier to cite or link to this item: http://ir.kneu.edu.ua/handle/2010/29507

Название: Machine learning in estimating of SMEs investment potential in Ukraine
Авторы: Ivashchenko, Alla
Іващенко, Алла Іванівна
Иващенко, Алла Ивановна
Polishchuk, Yevheniia
Поліщук, Євгенія Анатоліївна
Полищук, Евгения Анатольевна
Ключевые слова: Machine learning
SME
Investment Potential
Business factors
Assessment model
Python
Submit Date: 2019-04-18T13:15:13Z
Issue Date: May-2018
Издатель: CEUR-WS.org
Библиографическое описание: 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.
Краткий осмотр (реферат): 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.
URI: http://ir.kneu.edu.ua/handle/2010/29507
ISSN: 1613-0073
Appears in Collections:Кафедра корпоративних фінансів і контролінгу

Files in This Item:

File Description SizeFormat
10000077.pdf395,54 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

DSpace Software Copyright © 2002-2010  Duraspace - Feedback