Sosyal Bilimlerde Yapay Zekâ İzleri: Bibliyometrik Bir Analiz.
Artificial intelligence, which for many years was considered a subfield of computer science, has recently gained significant importance in the social sciences--particularly within the disciplines of business and management. In these fields, artificial intelligence has become a key driver of transfor...
| Publicado en: | Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi Vol. 14; no. 5; pp. 2381 - 2411 |
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| Autores principales: | , |
| Formato: | Artículo |
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Itobiad: Journal of the Human & Social Science Researches
2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=190999623&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 190999623 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: 5 pid: 87673 pub: Itobiad: Journal of the Human & Social Science Researches artinfo: ui: 190999623 10.15869/itobiad.1731080 ppf: 2381 ppct: 30 formats: tig: atl: Sosyal Bilimlerde Yapay Zekâ İzleri: Bibliyometrik Bir Analiz. aug: au: Karaca, Metin Paçacı, Merve affil: Dr. Öğr. Üyesi, Isparta Uygulamalı Bilimler Üniversitesi, Gelendost Meslek Yüksekokulu, Yönetim ve Organizasyon Bölümü, Isparta, Türkiye Dr. Öğr. Üyesi, Isparta Uygulamalı Bilimler Üniversitesi, Atabey Meslek Yüksekokulu, Büro Hizmetleri ve Sekreterlik Bölümü, Isparta, Türkiye su: United States Artificial intelligence Decision making Social scientists Bibliometrics University research Strategic planning sug: subj: Artificial intelligence Decision making Social scientists United States Bibliometrics University research Strategic planning keyword: Artificial Intelligence Bibliometric Analysis Management and Organization Social Sciences Bibliyometrik Analiz Sosyal Bilimler Yönetim ve Organizasyon Yapay Zekâ Artificial Intelligence Bibliometric Analysis Management and Organization Social Sciences Bibliyometrik Analiz Sosyal Bilimler Yönetim ve Organizasyon Yapay Zekâ ab: Artificial intelligence, which for many years was considered a subfield of computer science, has recently gained significant importance in the social sciences--particularly within the disciplines of business and management. In these fields, artificial intelligence has become a key driver of transformation in areas such as decision-making, strategic planning, process optimization, and innovation management. Its contributions have shifted traditional management approaches toward data-driven structures and have played a mediating role in enhancing organizational performance. Consequently, previous studies in this field serve as an essential reference point and guide for researchers. Building on this motivation, the present study aims to systematically examine the academic reflections of artificial intelligence within the social sciences using bibliometric analysis and to evaluate its position in the international literature, current research trends, and future scientific potential. The analysis is based on 16,410 articles published in the Scopus database between 1970 and 2023. The findings reveal that research on artificial intelligence has increased markedly since 2017 and that the United States leads the field in terms of publication volume and citation impact. Co-authorship analyses indicate that scholars such as Dwivedi, Kraus, and Dung hold central positions in the literature, while institutions such as the Institute of Research and Development and Fuy Tan University emerge as key nodes in collaboration networks. At the country/region level, the United States, China, and the United Kingdom stand out, occupying central positions in global scientific interaction through strong collaboration linkages. Overall, the bibliometric analysis demonstrates that scientific production, collaboration, and impact networks in the domain of artificial intelligence form complex yet meaningful patterns across individual, institutional and country/region levels. pubtype: Academic Journal doctype: Article src: R language: Turkish refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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