An In-Depth Study on the Reflections of Artificial Intelligence on Management with Bibliometric Analysis

Year 2025, Volume: 14 Issue: 4, 1 - 19

Enes Kaya

https://doi.org/10.15869/itobiad.1670487

Abstract

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.

Keywords

Management , Artificial Intelligence , Bibliometric Analysis , Article , Science Mapping , Vosviwer , Scopus

Yapay Zekanın Yönetim Üzerindeki Yansımaları Üzerine Bibliyometrik Analizle Derinlemesine Bir İnceleme

Abstract

İçerisinde yer aldığımız 21. yüzyılda teknolojik uygulamalar birçok alanda kendisini göstermektedir. Bu uygulamalardan biri olan yapay zekâ, stratejik karar alma süreçleri ile operasyonel verimliliği artırarak çalışanları ve yöneticileri destekleyen bir uygulamadır. Günümüzde yönetim alanında yapay zekâ konusunda hakemli dergilerde yayımlanan makaleleri çeşitli ölçütler açısından inceleyen çalışmalarla ilgili bilgiler, araştırmacılara önemli bilgiler sağlamaktadır. Bu amaçla, bu çalışmada kullanılan yöntem, bibliyometrik ağ analizidir. Bu yöntemin seçilmesinin nedeni, yapay zekanın yönetim üzerindeki yansımalarını tespit etmek için yönetim ve yapay zekâ arasındaki ilişkiyi net bir biçimde özetlemektir. Çalışmada, araştırma sorularına cevap verebilmek için 12.09.2024-13.09.2024 tarihlerinde Scopus veri tabanında “artificial intelligence” ve “management” anahtar kelimeleri ile tarama gerçekleştirilmiştir. Tarama sonucu ilgili veri tabanından elde edilen dahil etme kriterlerine uygun olan bibliyografik veriler (1035 çalışma: bunların 969’u makale) Visualization of Similarities Viewer -VOSviewer- programı kullanılarak analiz edilmiş, ilgili yayınlar en fazla yayının yapıldığı yıllar, ülkeler, anahtar kelime analizi ve benzeri bağlamında incelenmiştir. Buna göre, yapay zekâ ve yönetim konusuna ilişkin çalışmaların miktarının son yıllarda (özellikle 2017 yılı sonrasında) oldukça artış gösterdiği makale sayılarının yıllar itibariyle dağılımında konuya ilişkin makalelerin en fazla 2024 yılında (254) yapıldığı belirlenmiştir. Konuya ilişkin en fazla dokümanı (makale) olan ilk üç yazar sırasıyla şunlardır: Wang, Y., Zhang, Y. ve Li, J. Ayrıca, yapay zekâ ve yönetim konusuna ilişkin en fazla atıfın yapıldığı ilk üç ülke sırasıyla Amerika Birleşik Devletleri, Çin ve Birleşik Krallık’tır. Sonuç olarak bu araştırmayla, yönetimde yapay zekâya ilişkin makalelerin mevcut durumu ortaya konmuştur. Araştırılan konuya ilişkin literatürde yer alan bilgi boşluğuna ışık tutulacak ve böylelikle gelecekte yapılacak çalışmalara yön gösterilecektir.

Keywords

Yönetim , Yapay Zekâ , Bibliyometrik Analiz , Makale , Bilim Haritalaması , VOSviwer , Scopus

References

• Akalın, B., & Veranyurt, U. (2020). Digitalızatıon ın health and artıfıcıal ıntellıgence. Suleyman Demirel University Healthcare Management Journal, 2(2), 128-137
• Akay, E. (2021). Changing leadership with digitalization and artificial ıntelligence. EDT Centre. https://www.edtcenter.com/post/dijitalle%C5%9Fme-ve-yapay-zeka-ile-de%C4%9Fi%C5%9Fen-liderlik (05.05.2025).
• Alsharif, A.H., Salleh, N.Z.M. & Baharun, R. (2020). Research trends of neuromarketing: a bibliometric analysis. Journal of Theoretical and Applied Information Technology, 98(15), 2948-2962.
• Arslan, K. (2017). Artificial ıntelligence and applications in education. Western Anatolia Journal of Educational Sciences, 11(1), 71-88.
• Asiabar, M. G., Asiabar, M. G., & Asiabar, A. G. (2024). Artificial ıntelligence in strategic management: examining novel aı applications in organizational strategic decision-making. 1-10.
• Atesci, O. and Dirik, D. (2024). Bibliometric analysis of studies on the relationship between transformational leadership and ınnovative work behavior. Journal Of Business Research-Turk, 16 (4), 2218-2236.https://doi.org/10.20491/isarder.2024.1911
• Berberoglugil, B. (2023). Artifıcıal intellıgence ın management. Scientific Journal of Innovation and Social Sciences Research, 3(2), 81-96.
• Berente, N., Gu, B., Recker, J. & Santhanam, R. (2021). Managing artificial intelligence. MIS Quarterly, 45(3), 1433- 1450.
• Biresselioglu, M. E., Demir, M. H., Solak, B. & Turan, U. (2022). Understanding the dynamics and conceptualization of environmental citizenship and energy citizenship: Evidence from the existing literature. Frontiers in Energy Research, 10, 1018035. https://doi.org/10.3389/fenrg.2022.1018035
• Bravo, A. (2024, October 23). AI and leadership development: Navigating benefits and challenges. Forbes. https://www.forbes.com/councils/forbescoachescouncil/2024/10/23/ai-and-leadership-development-navigating-benefits-and-challenges/
• Catal, B. (2025). Use of artıfıcıal ıntellıgence ın decısıon makıng process, Selçuk Law Review, 33(1), 311-348.
• Cetin, M. & Aktas, A. (2021). Artificial intelligence and future scenarios in education. OPUS International Journal of Society Researches, 18 (Special Issue on Educational Sciences), 4225-4268. https://doi.org/10.26466/opus.911444
• Cheng, Y., & Jiang, H. (2022). Customer–brand relationship in the era of artificial intelligence: Understanding the role of chatbot marketing efforts. Journal of Product & Brand Management, 31(2), 252–264. https://doi.org/10.1108/JPBM-08-2020-3054
• Desaulniers, S. (2016), Chatbots rise, and the future may be ‘re-written’, available at: www.cnbc.com/2016/04/08/ chatbots-rise-and-thefuture-may-be-re-written.html
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, V. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Researches, 133, 285-296.https://doi.org/10.1016/j.jbusres.2021.04.070
• Gama, F., & Magistretti, S. (2025). Artificial intelligence in innovation management: a review of innovation capabilities and a taxonomy of aı applications. Journal of Product Innovation Management, 42(1), 76-111. https://doi.org/10.1111/jpim.12698
• Golgeli, K. (2025). Advertising design with artificial intelligence: A study on advertisers. Journal of Human and Social Sciences Research, 14(1), 319–336. https://doi.org/10.15869/itobiad.1527182
• Haefner, N., Wincent, J., Parida, V. & Gassmann, O. (2021). Artificial intelligence and innovation management: a review, framework, and research agenda. Technological Forecasting and Social Change, 162, 1- 10.https://doi.org/10.1016/j.techfore.2020.120392
• Haenlein, M., Kaplan, A., Tan, C. W. & Zhang, P. (2019). Artificial intelligence (AI) and management Analytics. Journal of Management Analytics, 6(4), 341-343. https://doi.org/10.1080/23270012.2019.1699876
• Howard, J. (2019). Artificial intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917-926.
• Ince, H., Imamoglu, S.E. & Imamoglu, S.Z. 2021. The effects of artıfıcıal ıntellıgence on Decısıon makıng: a conceptual study. International Review of Economics and Management, 9(1), 50-63. http://dx.doi.org/10.18825/iremjournal.866432
• Kara, M., & Kara, N. S. (2024). Bibliometric analysis of studies on the concept of anxiety in sport with VOSviewer. Journal of Sports for All and Recreation, 6(2), 180-192. https://doi.org/10.56639/jsar.1481953
• Keding, C. (2021). Understanding the interplay of artificial intelligence and strategic management: four decades of research in review. Management Review Quarterly, 71(1), 91-134. https://doi.org/10.1007/s11301-020-00181-x
• Kollmann, T., Kollmann, K., ve Kollmann, N. (2023). Artificial leadership: digital transformation as a leadership task between the chief digital officer and artificial ıntelligence. International Journal of Business Science and Applied Management, 18(1), 76–95.
• Konu Kadirhanogullari, M. & Ozay Kose, E. (2023). Bibliometric analysis: technology studies in science education. International Journal of Technology in Education and Science (IJTES), 7(2), 167-191.https://doi.org/10.46328/ijtes.469
• Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., ... & Ziemba, E. (2023). Generative Artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal, 31(1), 3-13.
• Lis, A., Sudolska, A., Pietryka, I., & Kozakiewicz, A. (2020). Cloud computing and energy efficiency: mapping the thematic structure of research. Energies, 13(16), 4117.https://doi.org/10.3390/en13164117
• Mabrouk, A. (2025). Human resouce management in the age of artificial ıntelligence: concepts tools and steps. Solo International Collaboration and Publication of Social Sciences and Humanities, 3(1), 1-12.
• Melo, L. S. A., da Silva, J. E., dos Santos, R. R., & Ramalho, Â. M. C. (2021). A tessitura analítica bibliométrica da produção ınternacional da Covid-19 no contexto das áreas de ciências sociais e naturais. Research, Society and Development, 10(7), e39810716822-e39810716822.https://doi.org/10.33448/rsd-v10i7.16822
• Olivera, M. M., da Silva Dantas, N., & de Araújo, S. M. S. (2020). Recuperação de áreas degradadas e mineração: análise da produção científica internacional na Web of Science (WoS). Revista Ibero-Americana de Ciências Ambientais, 11(7), 672-689.https://doi.org/10.6008/CBPC2179-6858.2020.007.0052
• Park, H., & McKilligan, S. (2018b). A systematic literature review for human-computer ınteraction and design thinking process ıntegration. In Lecture notes in computer science (pp. 725-740). https://doi.org/10.1007/978-3-319-91797-9_50
• Pereira, V., Hadjielias, E., Christofi, M. & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: a multi-process perspective. Human Resource Management Review, 33(1), 1-22. https://doi.org/10.1016/j.hrmr.2021.100857
• Popa, I., Ștefan, S. C., Josan, A., Mircioiu, C.-E., & Căruceru, N. (2025). Artificial Intelligence as a Catalyst for Management System Adaptability, Agility and Resilience: Mapping the Research Agenda. Systems, 13(1), 47-59.
• Schrettenbrunnner, M. B. (2020). Artificial-intelligence-driven management. IEEE Engineering Management Review, 48(2), 15-19. https://doi.org/10.1109/EMR.2020.2990933
• Stăncioiu, T. S., Spînu, A. E., Sanda, C. M., Sanda, G., & Trifan, V. A. (2023). Customer relationship management, operational digitization, production optimization and value creation through artificial intelligence in e-marketing. Proceedings of the International Conference on Business Excellence, 17(1), 1107–1118. https://doi.org/10.2478/picbe-2023-0103
• Tastan, K. & Tastan, N. S. (2021). Yonetimde Yapay Zekânın Gelecegi. In 8th International Management and Social Research Conference. İstanbul. 28-33.
• Tiftik, C. (2021). Artificial intelligence technologies and practices in human resources management. IBAD Journal of Social Sciences, (9), 374-390. https://doi.org/10.21733/ibad.833256
• Unal, A. & Kilinc, I. (2020). A revıew on relatıonshıp between artıfıcıal Intellıgence and busıness management. Yonetim Bilisim Sistemleri Dergisi, 6 (1), 51-78.
• Yilmaz, M. T. (2024). Intelligent Personal Assistants (Ipas): Bibliometric Analysis. Manisa Celal Bayar University Journal of Social Sciences, 22(3), 296-316.
• Zhao, X., Ren, Y., & Cheah, K. S. (2023). Leading virtual reality (VR) and augmented reality (AR) in education: bibliometric and content analysis from the web of science (2018-2022). SAGE Open, 13(3), 21582440231190821. https://doi.org/10.1177/21582440231190821