An In-Depth Study on the Reflections of Artificial Intelligence on Management with Bibliometric Analysis.
In the 21st century, which we’re in, technological applications show themselves in many areas. Artificial intelligence, one of these applications, supports employees and managers by increasing operational efficiency with strategic decision-making processes. Today, information about studies examining...
| Published in: | Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi Vol. 14; no. 4; pp. 1 - 20 |
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Itobiad: Journal of the Human & Social Science Researches
2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=190309776&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 190309776 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21471185 GBL7 jtl: Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi issn: 21471185 maglogo: N pubinfo: dt: 2025 vid: 14 iid: 4 pid: 87673 pub: Itobiad: Journal of the Human & Social Science Researches artinfo: ui: 190309776 10.15869/itobiad.1670487 ppf: 1 ppct: 19 formats: tig: atl: An In-Depth Study on the Reflections of Artificial Intelligence on Management with Bibliometric Analysis. aug: au: Kaya, Enes affil: Asst. Prof. Dr., Kafkas University, Kagizman School Of Applied Sciences Health Management, Kars, Turkey. su: Artificial intelligence Knowledge gap theory Decision making Organizational effectiveness Organization management Bibliometrics sug: subj: Artificial intelligence Knowledge gap theory Decision making Organizational effectiveness Organization management Bibliometrics keyword: Article Artificial Intelligence Bibliometric Analysis Management Science Mapping Scopus Vosviwer Bibliyometrik Analiz Bilim Haritalaması Makale Yönetim Yapay Zekâ Article Artificial Intelligence Bibliometric Analysis Management Science Mapping Scopus Vosviwer Bibliyometrik Analiz Bilim Haritalaması Makale Yönetim Yapay Zekâ ab: In the 21st century, which we’re in, technological applications show themselves in many areas. Artificial intelligence, one of these applications, supports employees and managers by increasing operational efficiency with strategic decision-making processes. Today, information about studies examining articles published in refereed journals on artificial intelligence in the field of management in terms of various criteria will provide important information to researchers. For this purpose, the method used in this study is bibliometric network analysis. The reason for choosing this method is to clearly summarize the relationship between management and artificial intelligence in order to determine the reflections of artificial intelligence on management. In order to answer the research questions in the study, a search was conducted in the Scopus database between 12.09.2024-13.09.2024 with the keywords "artificial intelligence" and "management". As a result of the scan, bibliographic data obtained from the relevant database that met the inclusion criteria were analyzed using the VOSviewer; the relevant publications were examined in terms of the years in which the most publications were made, countries, keyword analysis, etc. Accordingly, it was determined that the number of studies on the subject of artificial intelligence and management has increased considerably in recent years (especially after 2017), and that the most articles on the subject were published in 2024 in the distribution of the number of articles by years. The first three authors with the most articles on the subject’re Wang, Y., Zhang, Y., Li, J., respectively. In addition, the first three countries with the most citations on the subject of artificial intelligence and management’re the United States, China, the United Kingdom, respectively. As a result, this research has revealed the current status of articles on artificial intelligence in management. Thus, it’ll shed light on the knowledge gap in the literature on the subject and guide future studies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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