Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects
Due to their specific characteristics, innovation projects are developed in contexts with great volatility, uncertainty, complexity, and even ambiguity. Project management has needed to adopt changes to ensure success in this type of project. Artificial intelligence (AI) techniques are being used in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/22/11743 |
| _version_ | 1797465921470595072 |
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| author | José Manuel Mesa Fernández Juan José González Moreno Eliseo P. Vergara-González Guillermo Alonso Iglesias |
| author_facet | José Manuel Mesa Fernández Juan José González Moreno Eliseo P. Vergara-González Guillermo Alonso Iglesias |
| author_sort | José Manuel Mesa Fernández |
| collection | DOAJ |
| description | Due to their specific characteristics, innovation projects are developed in contexts with great volatility, uncertainty, complexity, and even ambiguity. Project management has needed to adopt changes to ensure success in this type of project. Artificial intelligence (AI) techniques are being used in these changing environments to increase productivity. This work collected and analyzed those areas of technological innovation project management, such as risk management, costs, and deadlines, in which the application of artificial-intelligence techniques is having the greatest impact. With this objective, a search was carried out in the Scopus database including the three areas involved, that is, artificial intelligence, project management, and research and innovation. The resulting document set was analyzed using the co-word bibliographic method. Then, the results obtained were analyzed first from a global point of view and then specifically for each of the domains that the Project Management Institute (PMI) defines in project management. Some of the findings obtained indicate that sectors such as construction, software and product development, and systems such as knowledge management or decision-support systems have studied and applied the possibilities of artificial intelligence more intensively. |
| first_indexed | 2024-03-09T18:29:24Z |
| format | Article |
| id | doaj.art-7ad2ee28583f424cb6e35832afea2510 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T18:29:24Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-7ad2ee28583f424cb6e35832afea25102023-11-24T07:40:13ZengMDPI AGApplied Sciences2076-34172022-11-0112221174310.3390/app122211743Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation ProjectsJosé Manuel Mesa Fernández0Juan José González Moreno1Eliseo P. Vergara-González2Guillermo Alonso Iglesias3Project Engineering Area, Department of Mining Exploitation and Prospecting, University of Oviedo, Independencia Street, nº 13, 33004 Oviedo, SpainProject Engineering Area, Department of Mining Exploitation and Prospecting, University of Oviedo, Independencia Street, nº 13, 33004 Oviedo, SpainProject Engineering Area, Department of Mining Exploitation and Prospecting, University of Oviedo, Independencia Street, nº 13, 33004 Oviedo, SpainProject Engineering Area, Department of Mining Exploitation and Prospecting, University of Oviedo, Independencia Street, nº 13, 33004 Oviedo, SpainDue to their specific characteristics, innovation projects are developed in contexts with great volatility, uncertainty, complexity, and even ambiguity. Project management has needed to adopt changes to ensure success in this type of project. Artificial intelligence (AI) techniques are being used in these changing environments to increase productivity. This work collected and analyzed those areas of technological innovation project management, such as risk management, costs, and deadlines, in which the application of artificial-intelligence techniques is having the greatest impact. With this objective, a search was carried out in the Scopus database including the three areas involved, that is, artificial intelligence, project management, and research and innovation. The resulting document set was analyzed using the co-word bibliographic method. Then, the results obtained were analyzed first from a global point of view and then specifically for each of the domains that the Project Management Institute (PMI) defines in project management. Some of the findings obtained indicate that sectors such as construction, software and product development, and systems such as knowledge management or decision-support systems have studied and applied the possibilities of artificial intelligence more intensively.https://www.mdpi.com/2076-3417/12/22/11743researchinnovationartificial intelligenceproject management |
| spellingShingle | José Manuel Mesa Fernández Juan José González Moreno Eliseo P. Vergara-González Guillermo Alonso Iglesias Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects Applied Sciences research innovation artificial intelligence project management |
| title | Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects |
| title_full | Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects |
| title_fullStr | Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects |
| title_full_unstemmed | Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects |
| title_short | Bibliometric Analysis of the Application of Artificial Intelligence Techniques to the Management of Innovation Projects |
| title_sort | bibliometric analysis of the application of artificial intelligence techniques to the management of innovation projects |
| topic | research innovation artificial intelligence project management |
| url | https://www.mdpi.com/2076-3417/12/22/11743 |
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