Artificial Intelligence Trends in Management Science: A Content Analysis Approach

Abstract

This study examines the relationship between artificial intelligence (AI) and management science by conducting a content analysis of publications on AI in the management literature and identifying Türkiye's position in this field. A five-stage filtering process was used to examine publications published between 2019 and 2024 in the Web of Science (WoS) database, and only 37 publications were identified as Türkiye-based. The findings indicate that Türkiye remains in the top 1% of AI research across all stages. This demonstrates that Türkiye is still at the beginning of the intersection of AI and management and has not yet established a comprehensive theoretical framework. The vast majority of publications are included in the SSCI index, and prominent topics include technical areas such as artificial intelligence, machine learning, design, and manufacturing. Furthermore, it was observed that, in terms of sustainability goals, publications are mostly focused on education and innovation. These findings demonstrate that research diversity in this field in Türkiye is limited and that original studies are needed at a strategic level. In these respects, the study is one of the rare studies that comprehensively analyzes Türkiye's academic position in the field of AI and management and provides an important basis for future academic policy, research and practice.

Keywords

• Artificial intelligence
• AI
• Content analysis
• Management

Yönetim Biliminde Yapay Zekâ Eğilimleri: Bir İçerik Analizi Yaklaşımı

Abstract

Bu çalışma, yapay zekâ (YZ) ve yönetim bilimi arasındaki ilişkiyi ele alarak, yönetim literatüründe YZ konulu yayınların içerik analizini gerçekleştirmeyi ve Türkiye’nin bu alandaki konumunu ortaya koymayı amaçlamaktadır. Web of Science veri tabanında 2019–2024 yılları arasında yayımlanan yayınlar beş aşamalı bir filtreleme süreciyle incelenmiş ve yalnızca 37 yayının Türkiye merkezli olduğu tespit edilmiştir. Elde edilen bulgular, Türkiye’nin yapay zekâ araştırmalarında tüm aşamalarda %1’lik dilimde kaldığını göstermektedir. Bu durum, Türkiye’nin YZ ve yönetim kesişiminde hâlen başlangıç aşamasında olduğunu ve kapsamlı bir kuramsal çerçeve oluşturamadığını ortaya koymaktadır. Yayınların büyük çoğunluğu SSCI indeksinde yer almakta olup, öne çıkan konular arasında yapay zekâ, makine öğrenmesi, tasarım ve üretim gibi teknik alanlar bulunmaktadır. Ayrıca, sürdürülebilirlik hedefleri açısından yayınların çoğunlukla eğitim ve yenilik odaklı olduğu görülmüştür. Bu bulgular, Türkiye’de bu alandaki araştırma çeşitliliğinin sınırlı olduğunu ve stratejik düzeyde özgün çalışmalar yapılması gerektiğini göstermektedir. Bu yönleriyle çalışma, Türkiye’nin YZ ve yönetim alanındaki akademik konumunu kapsamlı biçimde analiz eden nadir araştırmalardandır ve gelecekteki akademik politika, araştırma ve uygulamalar için önemli bir zemin sunmaktadır.

Keywords

• Yapay zeka
• AI
• İçerik analizi
• Yönetim

References

1. Alan, H. (2023). A Systematic Bibliometric Analysis On The Current Digital Human Resources Management Studies and Directions for Future Research. J Chin Hum Resour Manag, 14(1), 38-59.
2. Alserr, N., & Salepçioğlu, M. A. (2021, November). Success Factors Affecting the Adoption of Artificial Intelligence and the Impacts of on Organizational Excellence: A Case to be Studied in the MENA Region, and Türkiye in Particular. In International Conference on Business and Technology (pp. 3-16). Cham: Springer International Publishing.
3. Bhattacharya, S. (2022). Artificial intelligence, human intelligence, and the future of public health. AIMS Public Health,, 9(4), 644-650. doi:DOI10.3934/publichealth.2022045
4. Biloslavo, R., Edgar, D., Aydin, E., & Bulut, C. (2024). Artificial İntelligence (AI) and Strategic Planning Process Within VUCA Environments: A Research Agenda and Guidelines. Management Decision.
5. Birkle, C., Pendlebury, D. A., Schnell, J., and Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363–376. doi: https://doi.org/10.1162/qss_a_00018
6. Bülbül, M. Ş. (2020). Chaos in the Future: Artificial Intelligence as a Strange Attractor of the Future. In Chaos, Complexity and Leadership 2018: Explorations of Chaotic and Complexity Theory 6. Springer International Publishing. (s. 203-209).
7. Canbul Yaroğlu, A. (2024). The Effects of Artificial İntelligence On Organizational Culture İn The Perspective of The Hermeneutic Cycle: The İntersection of Mental Processes. Systems Research and Behavioral Science.
8. Chen, H., Zhang, M., Zeng, J., & Wang, W. (2024). Artificial intelligence and corporate risk-taking: Evidence from China. China Journal of Accounting Research,, 17(3), 100372. doi:https://doi.org/10.1016/j.cjar.2024.100372

9. Çağlar, M. B., & Taşkın, B. K. (2023). The Effects Of Usıng Artıfıcıal Intellıgence And Robotıcs In Logıstıcs Servıce Productıon. Logforum.
10. Dagli, G., Muhtaroglu, M. B., Bastas, M., Altinay, F., & Altinay, Z. (2023). Evaluation of primary school managers' duties in digital transformation. Revista de Gestão e Secretariado, 14(9), 15227-15249.
11. Demirbağ, K. Ş., & Yıldırım, N. (2023). The Elephant in the Room: New Skills and Work Dimensions of Turkish White Goods Industry Engineers in Industry 4.0 Era. IEEE Transactions on Engineering Management.
12. Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: A review and bibliometric analysis. The TQM Journal, 32(4), 869–896. https://doi.org/10.1108/TQM-10-2019-0243
13. Dong, X., Jiang, L., Li, W., Chen, C., Gan, Y., Xia, J., & Qin, X. (2024). Let’s Talk about AI: Talking about AI is Positively Associated with AI Crafting. Asia Pacific Journal of Management, 1-32.
14. Doruköz, K. D., & Uslu, B. (2023). Yapay Zekânın İş Hayatındaki Yeri: Avantajlar, Dezavantajlar Ve Politikalar. Bandırma Onyedi Eylül Üniversitesi Sosyal Bilimler Araştırmaları Dergisi, 6(6(CEEİK 2023 Özel Sayısı)), 45-62.
15. Filgueiras, F. (2023). Artificial intelligence and education governance. . EDUCATION CITIZENSHIP AND SOCIAL JUSTICE. doi:https://doi.org/10.1177/17461979231160674
16. FRC. (2019). Artificial intelligence and corporate reporting: How does it measure up?". www.frc.org.uk/getattachment/e213b335-927b-4750-90db-64139aee44f2/AI-and-Corporate-Reporting-Jan.pdf adresinden alındı
17. Gartner. (2024). The AI opportunity: How artificial intelligence is transforming industries. Gartner Insights Report. Erişim: https://www.gartner.com
18. Gladilin, L. Yu., L. Y. (2023). Practical aspects of applying Artificial Intelligence in business. Entrepreneur's Guide, 16(4), 128-133. doi:https://doi.org/10.24182/2073-9885-2023-16-4-128-133
19. Huang, Y. C., Wensveen, S. A., & Funk, M. (2023). Experiential Speculation in Vision-Based AI Design Education: Designing Conventional and Progressive AI Futures. International Journal of Design, 17(2), 1-17.
20. Kalota, F. (2024). A Primer on Generative Artificial Intelligence. Education Sciences, 14(2), 172. doi:https://doi.org/10.3390/educsci14020172
21. Kambur, E., & Akar, C. (2022). Human resource developments with the touch of artificial intelligence: a scale development study. International Journal of Manpower, 1, 168-205.
22. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons, 62(1), 15-25. doi:https://doi.org/10.1016/j.bushor.2018.08.004
23. Karakose, T., Demirkol, M., Yirci, R., Polat, H., Ozdemir, T. Y., & Tülübaş, T. (2023). A conversation with ChatGPT about digital leadership and technology integration: Comparative analysis based on human–AI collaboration. Administrative Sciences, 13(7), 157.
24. Kisielnicki, J., Zadrożny, J., & Fabisiak, S. (2022). Artificial Intelligence as a Tool Supporting Organizational Entrepreneurship–Theoretical Problems and Case Analysis. . Problemy Zarządzania, 20(1), 125-149. doi:DOI10.7172/1644-9584.95.6
25. Kong, H., Yuan, Y., Baruch, Y., Bu, N., & Jiang, X. (2021). Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management, 33(2), 717-734.
26. Kshetri, N. (2021). Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence. Management Research Review, 44(7), 970-990.
27. Li, Z., Wang, W., Zhang, K., & Zhu, M. (2024). Guest editorial: AI for computational audition—sound and music processing. EURASIP Journal on Audio. Speech, and Music Processing, 1, 1-5.
28. McKinsey. (2021, December 08). The state of AI in 2021. October 04, 2024 tarihinde https://www.mckinsey.com/capabilities/quantumblack/our-insights/global-survey-the-state-of-ai-in-2021. adresinden alındı
29. Nedbal, C., Bres-Niewada, E., Dybowski, B., & Somani, B. K. (2024). The impact of artificial intelligence in revolutionizing all aspects of urological care: a glimpse in the future. Central European Journal of Urology, 77(1), 12-14.
30. Neiroukh, S., Emeagwali, O. L., & Aljuhmani, H. Y. (2024). Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes. Management Decision.
31. Powell, S. K. (2023). AI and Case Management: From Artificial Intelligence to Generative Intelligence. Professional Case Management, 28(6), 259-261. doi:Doi:10.1097/NCM.0000000000000681
32. Robert , A. D., & Boullaguet, A. (1997). Analyse de contenu. Paris: P.U.F.
33. Rudko, I., Bashirpour Bonab, A., Fedele, M., & Formisano, A. V. (2024). New institutional theory and AI: toward rethinking of artificial intelligence in organizations. Journal of Management History. doi:DOI10.1108/JMH-09-2023-0097
34. Sekhar, T. C., Nayak, Y. R., & Abdoler, E. A. (2024). A use case for generative AI in medical education. JMIR Med Educ, 10, e56117.
35. Sposato, M. (2024). Leadership training and development in the age of artificial intelligence. Development and Learning in Organizations: An International Journal, 38(4), 4-7. doi:https://doi.org/10.1108/DLO-12-2023-0256
36. Şentürk, E. E., Kartal, C., & İşcan, R. V. (2023). Visibility of Artificial Intelligence Applications in Digital Marketing on WOS. Scientific Journal of Innovation and Social Sciences Research, 3(1), 27-42.
37. Taşgit, Y. E., Baykal, Y., Aydın, U. C., Yakupoğlu, A., & Coşkuner, M. (2023). Do Employees' Artificial Intelligence Attitudes Affect Individual Business Performance?. Journal of Organisational Studies & Innovation, 10(2).
38. Ültay, E., Akyurt, H., & Ültay, N. (2021). Sosyal bilimlerde betimsel içerik analizi. IBAD Sosyal Bilimler Dergisi, 10, 188-201.
39. Ünal, A., & Kılınç , İ. (2020). Yapay zekâ işletme yönetimi ilişkisi üzerine bir değerlendirme. Yönetim Bilişim Sistemleri Dergisi, 6(1), 51-78.
40. Van Rijmenam, M., & Logue, D. (2021). Revising the ‘science of the organisation’: Theorising AI agency and actorhood. Innovation, 23(1),. 23(1), 127-144. doi:https://doi.org/10.1080/14479338.2020.1816833
41. Vatankhah, S., Bamshad, V., Arici, H. E., & Duan, Y. (2024). Ethical İmplementation of Artificial İntelligence in The Service Industries. The Service Industries Journal, 1-25.
42. Vukovic, M., & Weldemariam, K. (2020). Toward agile and resilient manufacturing using AI. Smart and Sustainable Manufacturing Systems, 4(3), 330-332. doi:https://doi.org/10.1520/SSMS20200068
43. Wang, Q., Liu, X., & Huang, K. W. (2024). Investigating employees’ occupational risks and benefits resulting from artificial intelligence: An empirical analysis. Information & Management, 61(8), 104036. doi:https://doi.org/10.1016/j.im.2024.104036
44. Xia, W. H., Zhou, D., Xia, Q. Y., & Zhang, L. R. (2020). Design and implementation path of intelligent transportation information system based on artificial intelligence technology. The Journal of Engineering, 13, 482-485. doi:https://doi.org/10.1049/joe.2019.1196
45. Yi, R. C., Gantz, H. Y., & Feldman, S. R. (2024). Utilizing artificial intelligence technology with emotional intelligence in clinical office visits. Journal of Dermatological Treatment, 35(1), 2374500. doi:DOI10.1080/09546634.2024.2374500
46. Zhu, D. H., & Chang, Y. P. (2020). Robot with humanoid hands cooks food better? Effect of robotic chef anthropomorphism on food quality prediction. International Journal of Contemporary Hospitality Management, 32(3), 1367-1383.