A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions

One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. The application of artificial intelligence can address these issues.The present study aims to identify the...

Full description

Saved in:
Bibliographic Details
Main Authors: Anna Vorontsova, Svitlana Tarasenko, Wojciech Duranowski, Arkadiusz Durasiewicz, John Soss, Artem Bilovol
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2025-01-01
Series:Problems and Perspectives in Management
Subjects:
Online Access:https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/21429/PPM_2025_01_Vorontsova.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841527812247257088
author Anna Vorontsova
Svitlana Tarasenko
Wojciech Duranowski
Arkadiusz Durasiewicz
John Soss
Artem Bilovol
author_facet Anna Vorontsova
Svitlana Tarasenko
Wojciech Duranowski
Arkadiusz Durasiewicz
John Soss
Artem Bilovol
author_sort Anna Vorontsova
collection DOAJ
description One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. The application of artificial intelligence can address these issues.The present study aims to identify the key trends, knowledge gaps, and opportunities for further research into the economic effects of using artificial intelligence and ChatGPT tools in higher education. For this purpose, a systematic literature review was conducted to identify and screen the scientific articles related to the topic of this study indexed in Web of Science and Scopus from 1986 to 2024. A total of 234 articles were selected, all demonstrating positive growth both in scholarly output and citation count. The study identified the key contributors to scientific research on this topic by region (the United States, China, and India). It concluded that the relevant research centers are still at an early stage of their development. Based on bibliometric clusters formed by co-occurrence relations, three main areas of research were defined: 1) artificial intelligence in education for decision-making; 2) process automation and digital transformation in educational institutions; 3) artificial intelligence technologies and their application in education. The study highlights the main areas of economic effects of artificial intelligence and ChatGPT tools in higher education, including reducing administrative costs, saving time for teachers and students, and improving the quality and accessibility of educational process. AcknowledgmentsThe publication is part of the research topic “Economic Basics of Technology Diffusion into the National Economy of Ukraine Considering Best International Practices” (№0124U003482).
format Article
id doaj-art-316f29d4c5114e24942fbd42668872fe
institution Kabale University
issn 1727-7051
1810-5467
language English
publishDate 2025-01-01
publisher LLC "CPC "Business Perspectives"
record_format Article
series Problems and Perspectives in Management
spelling doaj-art-316f29d4c5114e24942fbd42668872fe2025-01-15T06:32:47ZengLLC "CPC "Business Perspectives"Problems and Perspectives in Management1727-70511810-54672025-01-0123110111410.21511/ppm.23(1).2025.0821429A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutionsAnna Vorontsova0https://orcid.org/0000-0003-0603-3869Svitlana Tarasenko1https://orcid.org/0000-0002-4829-0559Wojciech Duranowski2https://orcid.org/0000-0002-3984-6332Arkadiusz Durasiewicz3https://orcid.org/0000-0001-8354-860XJohn Soss4https://orcid.org/0009-0006-5831-1241Artem Bilovol5https://orcid.org/0009-0000-5823-1379Ph.D., Senior Researcher, Department of International Economic Relations, Sumy State University, UkrainePh.D. in Economics, Senior Lecturer, Department of International Economic Relations, Academic and Research Institute of Business, Economics and Management, Sumy State University, UkrainePh.D. in Economics, Associate Professor, Faculty of Economics, Opole University, PolandDr. of Economics, Associate Professor, Department of Economic Policy and Banking, Faculty of Economics and Finance, Casimir Pulaski Radom University, PolandPh.D. in Finance, Associate Professor, Department of Finance, Fox School of Business, Temple University, USAPh.D. Student, Department of International Economic Relations, Academic and Research Institute of Business, Economics and Management, Sumy State University, UkraineOne of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. The application of artificial intelligence can address these issues.The present study aims to identify the key trends, knowledge gaps, and opportunities for further research into the economic effects of using artificial intelligence and ChatGPT tools in higher education. For this purpose, a systematic literature review was conducted to identify and screen the scientific articles related to the topic of this study indexed in Web of Science and Scopus from 1986 to 2024. A total of 234 articles were selected, all demonstrating positive growth both in scholarly output and citation count. The study identified the key contributors to scientific research on this topic by region (the United States, China, and India). It concluded that the relevant research centers are still at an early stage of their development. Based on bibliometric clusters formed by co-occurrence relations, three main areas of research were defined: 1) artificial intelligence in education for decision-making; 2) process automation and digital transformation in educational institutions; 3) artificial intelligence technologies and their application in education. The study highlights the main areas of economic effects of artificial intelligence and ChatGPT tools in higher education, including reducing administrative costs, saving time for teachers and students, and improving the quality and accessibility of educational process. AcknowledgmentsThe publication is part of the research topic “Economic Basics of Technology Diffusion into the National Economy of Ukraine Considering Best International Practices” (№0124U003482).https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/21429/PPM_2025_01_Vorontsova.pdfautomationchatbotcostshigher educationmanagementPRISMA
spellingShingle Anna Vorontsova
Svitlana Tarasenko
Wojciech Duranowski
Arkadiusz Durasiewicz
John Soss
Artem Bilovol
A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions
Problems and Perspectives in Management
automation
chatbot
costs
higher education
management
PRISMA
title A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions
title_full A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions
title_fullStr A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions
title_full_unstemmed A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions
title_short A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions
title_sort bibliometric analysis of the economic effects of using artificial intelligence and chatgpt tools in higher education institutions
topic automation
chatbot
costs
higher education
management
PRISMA
url https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/21429/PPM_2025_01_Vorontsova.pdf
work_keys_str_mv AT annavorontsova abibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT svitlanatarasenko abibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT wojciechduranowski abibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT arkadiuszdurasiewicz abibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT johnsoss abibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT artembilovol abibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT annavorontsova bibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT svitlanatarasenko bibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT wojciechduranowski bibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT arkadiuszdurasiewicz bibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT johnsoss bibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions
AT artembilovol bibliometricanalysisoftheeconomiceffectsofusingartificialintelligenceandchatgpttoolsinhighereducationinstitutions