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Sustainable Information System for Enhancing Virtual Company Resilience Through Machine Learning in Smart City Socio-Economic Scenarios Cover

Sustainable Information System for Enhancing Virtual Company Resilience Through Machine Learning in Smart City Socio-Economic Scenarios

ECONOMICS
Volume 12 (2024): Issue 2 (August 2024)
By: Khrystyna Lipianina-Honcharenko,  Myroslav Komar,  Nazar Melnyk and  Roman Komarnytsky  
Open Access
|Jun 2024

Authors

Khrystyna Lipianina-Honcharenko

kh.lipianina@wunu.edu.ua

West Ukrainian National University, Ternopil, Ukraine

Myroslav Komar

West Ukrainian National University, Ternopil, Ukraine

Nazar Melnyk

West Ukrainian National University, Ternopil, Ukraine

Roman Komarnytsky

West Ukrainian National University, Ternopil, Ukraine
DOI: https://doi.org/10.2478/eoik-2024-0022 | Journal eISSN: 2303-5013 | Journal ISSN: 2303-5005
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Language: English
Page range: 69 - 96
Submitted on: Feb 14, 2024
Accepted on: Jul 12, 2024
Published on: Jun 7, 2024
Published by: Oikos Institut d.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year
Keywords:
sustainable information systems,
virtual company resilience,
smart city management,
crisis response,
machine learning,
augmented reality,
e-commerce adaptation
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Microeconomics,
Macroeconomics,
Public finance and fiscal theory

© 2024 Khrystyna Lipianina-Honcharenko, Myroslav Komar, Nazar Melnyk, Roman Komarnytsky, published by Oikos Institut d.o.o.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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