The Use of Machine Learning in Research of Entrepreneurship Growth Factors

Authors

  • Marta Czyżewska Uniwersytet Pedagogiczny w Krakowie Instytut Politologii Katedra Ekonomii i Polityki Gospodarczej
  • Teresa Mroczek Wyższa Szkoła Informatyki i Zarządzania Wydział Informatyki Stosowanej Katedra Systemów Ekspertowych i Sztucznej Inteligencji
  • Arkadiusz Lewicki Wyższa Szkoła Informatyki i Zarządzania Wydział Informatyki Stosowanej Katedra Zastosowań Systemów Informatycznych
  • Andrzej Cwynar Wyższa Szkoła Ekonomii i Innowacji w Lublinie Wydział Administracji i Ekonomii

DOI:

https://doi.org/10.24917/20801653.314.12

Keywords:

Bayesian networks, entrepreneurship, Intelligent Data Analysis, World Governance Indicators

Abstract

Entrepreneurship is crucial both for economic growth and development which is reflected in the adoption of entrepreneurship as the factor of production in certain theories. Both theoretical and empirical research present entrepreneurship as a complex phenomenon shaped by a range of different factors. Traditional research methods are insufficient with respect to the complexity of the phenomenon. This article presents the results of research on the impact of the indicators developed by the World Bank in World Governance Indicators on the entrepreneurship growth. The aim of the article is the empirical verification of machine learning use in the selection of key factors for entrepreneurship in situations when applying large multidimensional and variable data. The applied method revealed significant differences between the key factors determining the growth of entrepreneurship in five groups of countries, categorized by the value of this growth measured by the growth in newly established enterprises. The results indicate that the applying unconventional methods to research on entrepreneurship determinants shed new light on this phenomenon.

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Author Biographies

Marta Czyżewska, Uniwersytet Pedagogiczny w Krakowie Instytut Politologii Katedra Ekonomii i Polityki Gospodarczej

Marta Czyżewska, Ph.D. in Economics, assistant professor at the Department of Economics and Economic Policy, The Institute of Political Science at the Pedagogical University of Cracow. Former Director of Innovativeness and Entrepreneurhsip Center at UITM in Rzeszow. Recently, her research focuses on determinants of innovativeness and entrepreneurship as key factors underlying the development of economies. Author and co-author of books and articles on venture capital, innovativeness and entrepreneurship.

Teresa Mroczek, Wyższa Szkoła Informatyki i Zarządzania Wydział Informatyki Stosowanej Katedra Systemów Ekspertowych i Sztucznej Inteligencji

Teresa Mroczek, Ph.D. in technical sciences in the field of computer science, assistant professor at the Department of Expert Systems and Artificial Intelligence at the Faculty of Applied Informatics of the University of Information Technology and Management in Rzeszow, Dean’s proxy for Science. She conducts research in the field of data mining, knowledge discovery in databases, intelligent exploratory data analysis, machine learning, expert systems. Developer of advanced software for data analysis using methods of supervised machine learning.

Arkadiusz Lewicki, Wyższa Szkoła Informatyki i Zarządzania Wydział Informatyki Stosowanej Katedra Zastosowań Systemów Informatycznych

Arkadiusz Lewicki, Ph.D. in technical sciences in the field of computer science, Deputy Head of the Chair of Information Systems Applications in Department of Applied Informatics at the University of Information Technology and Management in Rzeszow. His research focuses mainly on swarm intelligence, neural networks and evolutionary computation. Current research interests also include metaheuristics and local search methods for combinatorial optimization and parallel and distributed computing.

Andrzej Cwynar, Wyższa Szkoła Ekonomii i Innowacji w Lublinie Wydział Administracji i Ekonomii

Andrzej Cwynar, Ph.D., D.Sc., an associate professor at the University of Economics and Innovation (UEI) in Lublin (Poland). Former Dean of Department of Economics at the UEI, founder and director of the Institute for Financial Research and Analyses (2010–2013), and editor-in-chief of the scientific quarterly “e-Finanse” (2004–2013). Business associate of Splentum Ltd. The author and co-author of several books and over 100 articles devoted mainly to financial issues. His main field of interest is corporate finance and financial management, as well as financial literacy with special emphasis on debt issues.

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Published

2017-12-21

How to Cite

Czyżewska, M., Mroczek, T., Lewicki, A., & Cwynar, A. (2017). The Use of Machine Learning in Research of Entrepreneurship Growth Factors. Studies of the Industrial Geography Commission of the Polish Geographical Society, 31(4), 169–186. https://doi.org/10.24917/20801653.314.12

Issue

Vol. 31 No. 4 (2017): The development of industry in national and regional economic structures

Section

Articles

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