Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda
Artificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more in managerial decisions and practices. This paper aims to outline the importance of the topic related to the increase in the adaptability, agility, and resilienc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/1/47 |
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| author | Ion Popa Simona Cătălina Ștefan Andrei Josan Corina-Elena Mircioiu Nicoleta Căruceru |
| author_facet | Ion Popa Simona Cătălina Ștefan Andrei Josan Corina-Elena Mircioiu Nicoleta Căruceru |
| author_sort | Ion Popa |
| collection | DOAJ |
| description | Artificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more in managerial decisions and practices. This paper aims to outline the importance of the topic related to the increase in the adaptability, agility, and resilience of the management system as a result of AI integration, resorting to a bibliometric type of research. A total of 107 papers from the period 2007–2024 exported from the Web of Science Core Collection database were analyzed, with support of Biblioshiny software. This topic is proving to be one of heightened global interest, being comprehensively addressed by world leaders in AI research and technologies such as the United States, China, Great Britain, France, India, and beyond. Collaborative relationships established between geographic regions are captured, noting the power and expansion of the theme on all continents of the globe. Likewise, its thematic and strategic evolution is characterized as a surprising one, managing to incorporate and relate concepts with a strong technical and IT character such as feature extraction, machine learning, reinforcement learning with concepts of a managerial nature as supporting customer-tailored interaction, employee skills development, company productivity, and innovation. |
| format | Article |
| id | doaj-art-abc1a54a67d544aeacb616d9c2a7d053 |
| institution | Kabale University |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-abc1a54a67d544aeacb616d9c2a7d0532025-01-24T13:50:37ZengMDPI AGSystems2079-89542025-01-011314710.3390/systems13010047Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research AgendaIon Popa0Simona Cătălina Ștefan1Andrei Josan2Corina-Elena Mircioiu3Nicoleta Căruceru4Management Department, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaManagement Department, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaManagement Department, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaManagement Department, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaManagement Department, Bucharest University of Economic Studies, 010374 Bucharest, RomaniaArtificial intelligence (AI) is an increasingly notable presence in society, industries, and organizations, making its necessity felt more in managerial decisions and practices. This paper aims to outline the importance of the topic related to the increase in the adaptability, agility, and resilience of the management system as a result of AI integration, resorting to a bibliometric type of research. A total of 107 papers from the period 2007–2024 exported from the Web of Science Core Collection database were analyzed, with support of Biblioshiny software. This topic is proving to be one of heightened global interest, being comprehensively addressed by world leaders in AI research and technologies such as the United States, China, Great Britain, France, India, and beyond. Collaborative relationships established between geographic regions are captured, noting the power and expansion of the theme on all continents of the globe. Likewise, its thematic and strategic evolution is characterized as a surprising one, managing to incorporate and relate concepts with a strong technical and IT character such as feature extraction, machine learning, reinforcement learning with concepts of a managerial nature as supporting customer-tailored interaction, employee skills development, company productivity, and innovation.https://www.mdpi.com/2079-8954/13/1/47artificial intelligencemanagementmanagement systemadaptabilityagilityresilience |
| spellingShingle | Ion Popa Simona Cătălina Ștefan Andrei Josan Corina-Elena Mircioiu Nicoleta Căruceru Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda Systems artificial intelligence management management system adaptability agility resilience |
| title | Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda |
| title_full | Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda |
| title_fullStr | Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda |
| title_full_unstemmed | Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda |
| title_short | Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda |
| title_sort | artificial intelligence as a catalyst for management system adaptability agility and resilience mapping the research agenda |
| topic | artificial intelligence management management system adaptability agility resilience |
| url | https://www.mdpi.com/2079-8954/13/1/47 |
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