Determination of Features Used in The Global Entrepreneurship Monitor Through Artificial Intelligence

Year 2023, Volume: 12 Issue: 1, 26 - 44, 24.06.2023

Sümeyye Çelik Özlem Çetinkaya Bozkurt Melike Şişeci Çeşmeli

Abstract

To determine the items that need to be concentrated in order to increase the development levels of the countries in the GEM report with artificial intelligence techniques. At the same time, it is aimed to examine the situation of Turkey. Methodology: The data were taken from the GEM report and the Adaptive Neuro-Fuzzy Classifier with Linguistic Hedges method was used. Findings: The most important factor affecting the level of development in terms of entrepreneurship was determined as "Government policies: Taxes and bureaucracy". Practical Implications: Countries that want to develop in terms of entrepreneurship should first give priority to developments within the scope of "Government policies: Taxes and bureaucracy". Originality: In this study, artificial intelligence techniques, which are very popular today, were used rather than the methods commonly used in the field of social sciences.

Keywords

The Global Entrepreneurship Monitor, Entrepreneurship Ecosystem, Artificial Intelligence, Adaptive Neuro-Fuzzy Classifier with Linguistic Hedges

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