AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH
This study employs a bibliometric approach to analyze the landscape of artificial intelligence (AI) components used in performance measurement. As organizations increasingly leverage AI for optimizing processes and decisionmaking, understanding the trends in AI components becomes imperative. The id...
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| Format: | Article |
| Language: | English |
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Academica Brâncuşi
2023-12-01
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| Series: | Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
| Subjects: | |
| Online Access: | https://www.utgjiu.ro/revista/ec/pdf/2023-06/31_raduv.pdf |
| _version_ | 1797299983800598528 |
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| author | RADU VALENTIN CROITORU IONUT MARIUS TĂBÎRCĂ ALINA IULIANA STOICA SILVIU-IONEL |
| author_facet | RADU VALENTIN CROITORU IONUT MARIUS TĂBÎRCĂ ALINA IULIANA STOICA SILVIU-IONEL |
| author_sort | RADU VALENTIN |
| collection | DOAJ |
| description | This study employs a bibliometric approach to analyze the landscape of artificial intelligence (AI) components
used in performance measurement. As organizations increasingly leverage AI for optimizing processes and decisionmaking, understanding the trends in AI components becomes imperative. The identified AI components are classified
based on their roles in enhancing performance measurement, offering insights into the prevalent methodologies and
emerging technologies. The bibliometric analysis encompasses a comprehensive review of scholarly articles,
conference papers, and patents, systematically exploring the evolving field. In this research, the methodology involves
data extraction from reputable academic databases and patent repositories, followed by applying bibliometric
techniques to quantify and visualize key aspects. The findings of this study contribute to the existing knowledge by
mapping the intellectual structure of AI components for performance measurement.
|
| first_indexed | 2024-03-07T22:59:34Z |
| format | Article |
| id | doaj.art-da9a9cb3a73248918c9227a2189ff64b |
| institution | Directory Open Access Journal |
| issn | 1844-7007 |
| language | English |
| last_indexed | 2024-03-07T22:59:34Z |
| publishDate | 2023-12-01 |
| publisher | Academica Brâncuşi |
| record_format | Article |
| series | Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
| spelling | doaj.art-da9a9cb3a73248918c9227a2189ff64b2024-02-22T16:04:57ZengAcademica BrâncuşiAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie1844-70072023-12-01I6286300AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACHRADU VALENTIN0CROITORU IONUT MARIUS1TĂBÎRCĂ ALINA IULIANA2STOICA SILVIU-IONEL 3VALAHIA UNIVERSITY OF TARGOVISTE, ROMANIANATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY POLITEHNICA BUCHAREST, ROMANIAVALAHIA UNIVERSITY OF TARGOVISTE, ROMANIAVALAHIA UNIVERSITY OF TARGOVISTE, ROMANIAThis study employs a bibliometric approach to analyze the landscape of artificial intelligence (AI) components used in performance measurement. As organizations increasingly leverage AI for optimizing processes and decisionmaking, understanding the trends in AI components becomes imperative. The identified AI components are classified based on their roles in enhancing performance measurement, offering insights into the prevalent methodologies and emerging technologies. The bibliometric analysis encompasses a comprehensive review of scholarly articles, conference papers, and patents, systematically exploring the evolving field. In this research, the methodology involves data extraction from reputable academic databases and patent repositories, followed by applying bibliometric techniques to quantify and visualize key aspects. The findings of this study contribute to the existing knowledge by mapping the intellectual structure of AI components for performance measurement. https://www.utgjiu.ro/revista/ec/pdf/2023-06/31_raduv.pdfai; artificial intelligence; bibliometric; performance; information. |
| spellingShingle | RADU VALENTIN CROITORU IONUT MARIUS TĂBÎRCĂ ALINA IULIANA STOICA SILVIU-IONEL AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie ai; artificial intelligence; bibliometric; performance; information. |
| title | AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH |
| title_full | AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH |
| title_fullStr | AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH |
| title_full_unstemmed | AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH |
| title_short | AI COMPONENTS FOR PERFORMANCE MEASUREMENT - A BIBLIOMETRIC APPROACH |
| title_sort | ai components for performance measurement a bibliometric approach |
| topic | ai; artificial intelligence; bibliometric; performance; information. |
| url | https://www.utgjiu.ro/revista/ec/pdf/2023-06/31_raduv.pdf |
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