Shedding Light on the Doing Business Index: a Machine Learning Approach Cover

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Shedding Light on the Doing Business Index: a Machine Learning Approach

Business Systems Research Journal

Volume 10 (2019): Issue 2 (September 2019)

By: Milica Maričić, Milica Bulajić, Zoran Radojičić and Veljko Jeremić

Open Access

|Sep 2019

Authors

Milica Maričić

milica.maricic@fon.bg.ac.rs

University of Belgrade, Faculty of Organizational Sciences, Department of Operational Research and Statistics, Belgrade, Serbia

Milica Bulajić

bulajic.milica@fon.bg.ac.rs

University of Belgrade, Faculty of Organizational Sciences, Department of Operational Research and Statistics, Belgrade, Serbia

Zoran Radojičić

radojicic.zoran@fon.bg.ac.rs

University of Belgrade, Faculty of Organizational Sciences, Department of Operational Research and Statistics, Belgrade, Serbia

Veljko Jeremić

jeremic.veljko@fon.bg.ac.rs

University of Belgrade, Faculty of Organizational Sciences, Department of Operational Research and Statistics, Belgrade, Serbia

DOI: https://doi.org/10.2478/bsrj-2019-019 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344

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Language: English

Page range: 73 - 84

Submitted on: Apr 20, 2018

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Accepted on: Nov 12, 2018

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Published on: Sep 16, 2019

Published by: IRENET - Society for Advancing Innovation and Research in Economy

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

CIDI methodology,

Doing Business Index,

international business,

machine learning algorithms

Related subjects:

Business and economics,

Business management,

Management, organization, corporate governance,

Business management, other,

Mathematics and statistics for economists,

© 2019 Milica Maričić, Milica Bulajić, Zoran Radojičić, Veljko Jeremić, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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