Journals / Toplum Ekonomi ve Yönetim Dergisi / 2026 / Cilt: 7 Sayı: 3

THE TRANSFORMATION OF ARTIFICIAL INTELLIGENCE AND CREATIVITY IN ADVERTISING: A LITERATURE REVIEW

REKLAMCILIKTA YAPAY ZEKÂ VE YARATICILIĞIN DÖNÜŞÜMÜ: BİR LİTERATÜR İNCELEMESİ

Damla Karşu Cesur(KOCAELİ ÜNİVERSİTESİ, İLETİŞİM FAKÜLTESİ)0000-0002-5876-5618
Mevlüt Sedat Dönmez(SÜLEYMAN DEMİREL ÜNİVERSİTESİ, İLETİŞİM FAKÜLTESİ, HALKLA İLİŞKİLER VE TANITIM BÖLÜMÜ)0000-0002-8437-7416
Pages
894–926
Publication Date
2026-09-15
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate that creativity in the literature is predominantly discussed around human-centric, computational, and hybrid (human-AI collaboration) approaches.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The development of artificial intelligence (AI) technologies and their integration into advertising processes are profoundly transforming the concept of creativity, which forms the foundation of advertising.
📊
Key Findings & Data:Within the scope of the research, 16 articles selected from the Scopus database according to PRISMA guidelines were analyzed.
💡
Conclusion & Impact:The findings indicate that creativity in the literature is predominantly discussed around human-centric, computational, and hybrid (human-AI collaboration) approaches.
🔬Design:İnceleme Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Reklamcılık · Yapay Zekâ · Yaratıcılık

Abstract

The development of artificial intelligence (AI) technologies and their integration into advertising processes are profoundly transforming the concept of creativity, which forms the foundation of advertising. Accordingly, the aim of this study is to provide a holistic framework by evaluating the scientific literature that examines the relationship between AI and creativity in the field of advertising through descriptive and thematic analysis methods. Within the scope of the research, 16 articles selected from the Scopus database according to PRISMA guidelines were analyzed. The findings indicate that creativity in the literature is predominantly discussed around human-centric, computational, and hybrid (human-AI collaboration) approaches. While studies show that AI is mostly positioned as an operational tool that accelerates and optimizes processes, it has been determined that the role of humans has evolved from a traditional creative authority to a curator or gatekeeper position that draws boundaries, supervises, and interprets the cultural context. Furthermore, the articles draw attention to the fact that the use of AI leads to various ethical and theoretical tensions, such as standardization in content, the feeling of uncanniness, copyright issues, and a lack of transparency. Consequently, the research reveals that although AI is a powerful ‘operational partner’ that increases advertising production capacity, the need for human strategic guidance remains essential for successful and ethical advertising communication.

Özet

Yapay zekâ (YZ) teknolojilerinin gelişimi ve reklam süreçlerine entegrasyonu, reklamcılığın temelini oluşturan yaratıcılık kavramını derinden dönüştürmektedir. Bu doğrultuda çalışmanın amacı, reklamcılık alanında yapay zekâ ve yaratıcılık ilişkisini inceleyen bilimsel literatürü betimleyici ve tematik analiz yöntemleriyle değerlendirerek bütüncül bir çerçeve sunmaktır. Araştırma kapsamında Scopus veri tabanından PRISMA yönergelerine göre seçilen 16 makale incelenmiştir. Bulgular, literatürde yaratıcılığın ağırlıklı olarak insan merkezli, hesaplamalı ve hibrit (insan-YZ iş birliği) yaklaşımlar ekseninde tartışıldığını göstermektedir. Çalışmalarda yapay zekânın daha çok süreçleri hızlandıran ve optimize eden operasyonel bir araç olarak konumlandırıldığı görülürken, insanın rolünün geleneksel yaratıcı otoriteden ziyade sınırları çizen, denetleyen ve kültürel bağlamı yorumlayan bir küratör veya eşik bekçisi pozisyonuna doğru evrildiği tespit edilmiştir. Bununla birlikte makaleler, yapay zekâ kullanımının içeriklerde standartlaşma, tekinsizlik hissi, telif hakları sorunları ve şeffaflık eksikliği gibi çeşitli etik ve kuramsal gerilimlere yol açtığına dikkat çekmektedir. Sonuç olarak araştırma, yapay zekânın reklam üretim kapasitesini artıran güçlü bir ‘operasyonel ortak’ olsa da başarılı ve etik bir reklam iletişimi için insanın stratejik rehberliğine duyulan ihtiyacın devam ettiğini ortaya koymaktadır.

🔖

Cite This Article

Cesur, D. K., Dönmez, M. S. (2026). THE TRANSFORMATION OF ARTIFICIAL INTELLIGENCE AND CREATIVITY IN ADVERTISING: A LITERATURE REVIEW. Toplum Ekonomi ve Yönetim Dergisi, Cilt: 7 Sayı: 3, 894–926. https://doi.org/10.58702/teyd.2006010

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (57)

  1. Ali Elfa, M. A. ve Dawood, M. E. T. (2023). Using artificial intelligence for enhancing human creativity. Journal of Art, Design and Music, 2(2), 105-120. https://doi.org/10.55554/2785-9649.1017.
  2. Arbaiza, F., Arias, J. ve Robledo-Dioses, K. (2024). AI-driven advertising activity: Perspectives from Peruvian advertisers. Communication & Society, 37(4), 273–292. https://doi.org/10.15581/003.37.4.273-292
  3. Babür Tosun, N., Uraltaş, N. T., Nas, A., Özkaya, B., Güdüm, S., Ertürk, B., Dönmez, M., Çerçi, M., Ülker, Y., Karşu Cesur, D., Varol, E. ve Kiçir, İ. (2018). Reklam yönetimi. Beta Yayıncılık.
  4. Badlani, B., Mane, S., Chandani, S., Karthik, K., Tarai, T., Pasupathy, V. ve Bayas, V. S. (2025). AI-powered creative advertising in education. ShodhKosh: Journal of Visual and Performing Arts, 6(5s), 12–22. https://doi.org/10.29121/shodhkosh.v6.i5s.2025.6877
  5. Banh, L. ve Strobel, G. (2023). Generative artificial intelligence. Electronic Markets, 33(63), 1-17. https://doi.org/10.1007/s12525-023-00680-1
  6. Boztepe Taşkıran, H. ve Önay Doğan, B. (2024). Halkla ilişkiler ve reklamcılık perspektifinden yapay zekâ çalışmaları: Ulusal alan yazının bibliyometrik analizi. Uluslararası Halkla İlişkiler ve Reklam Çalışmaları Dergisi, 7(2), 9-35. https://doi.org/10.61766/hire.1472693
  7. Çeber, B. (2024). Reklam ajanslarında yapay zekâ kullanımı: Sektör profesyonellerinin ChatGPT ve Midjourney deneyimlerine yönelik bir araştırma. Erciyes İletişim Dergisi, 11(2), 583–606. https://doi.org/10.17680/erciyesiletisim.1439479
  8. Cesur Karşu, D., Göker, D. ve Gelberi, C. B. (2024). Türkiye’deki iletişim araştırmalarına güncel bir bakış: Bir bibliyometrik inceleme ve içerik analizi. Akademik İncelemeler Dergisi, 19(1), 23–45. https://doi.org/10.17550/akademikincelemeler.1321544.
  9. Clarke, V. ve Braun, V. (2017). Thematic analysis. The Journal of Positive Psychology, 12(3), 297–298. https://doi.org/10.1080/17439760.2016.1262613
  10. Dahlén, M., Rosengren, S. ve Törn, F. (2008). Advertising creativity matters. Journal of Advertising Research, 48(3), 392–403. https://doi.org/10.2501/S002184990808046X
  11. Demsar, V., Ferraro, C., Sands, S. ve Kohn, A. (2025). Harmony or discord? The intersection of generative AI and human creativity in advertising. Journal of Advertising Research, 65(2), 150–166. https://doi.org/10.1080/00218499.2025.2464305
  12. Duan, Y., Edwards, J. S. ve Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
  13. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, S. A., Rowley, J., Salo, J., Tran, G. A. ve Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168, 1-37. https://doi.org/10.1016/j.ijinfomgt.2020.102168
  14. El Assadi, A. (2026). AI vs. human creativity: The impact of text-to-image and text-to-video ads on customer engagement. Electronic Commerce Research, 48, 1-26. https://doi.org/10.1007/s10660-026-10103-w
  15. Fernandes, J., Tham, S. M., Habib, S. ve van Loggerenberg, M. J. C. (2026). Advertising creativity in the age of AI: Review of the AEJMC Advertising Division 2025 Teaching Pre-Conference. Journal of Advertising Education, 30(1), 72–91. https://doi.org/10.1177/10980482261425125
  16. Ford, J., Jain, V., Wadhwani, K. ve Gupta, D. G. (2023). AI advertising: An overview and guidelines. Journal of Business Research, 166, 114124, 1-15. https://doi.org/10.1016/j.jbusres.2023.114124
  17. Gao, B., Wang, Y., Xie, H., Hu, Y. ve Hu, Y. (2023). Artificial intelligence in advertising: Advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization. Sage Open, 13(4), 1-20. https://doi.org/10.1177/21582440231210759
  18. Gençyürek Erdoğan, M. ve Yavuz, V. (2026). Yapay zekâ ve reklam araştırmalarında bilimsel haritalama bibliyometrik bir analiz. Gümüşhane Üniversitesi İletişim Fakültesi Elektronik Dergisi, 14(1), 626–647. https://doi.org/10.19145/e-gifder.1809690
  19. Goldenberg, Y., Solomon, S. ve Mazursky, D. (1996). Cluster concept dynamics leading to creative ideas without critical slowing down. International Journal of Modern Physics C, 7(5), 655–673. https://doi.org/10.1142/S0129183196000557
  20. Gülsoy, T. (1999). Reklam terimleri ve kavramları sözlüğü. Adam Yayınları.
  21. Habib, S. (2025). Desperately seeking advertising creativity: AI’s impact. Journal of Advertising Education, 29(2), 153–172. https://doi.org/10.1177/10980482251359224
  22. Haenlein, M. ve Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
  23. Ham, M. ve Park, J. (2026). Rethinking targeting strategies for SMEs: How artificial intelligence and audience breadth drive advertising performance. Computers in Human Behavior, 179, 1-11. https://doi.org/10.1016/j.chb.2026.108930
  24. Hassani, H., Silva, E. S., Unger, S., TajMazinani, M. ve Mac Feely, S. (2020). Artificial intelligence (AI) or intelligence augmentation (IA): What is the future? AI, 1(2), 143–155. https://doi.org/10.3390/ai1020008
  25. Huang, M.-H. ve Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
  26. Hwang, Y. ve Jeong, S.-H. (2026). Effects of creativity in AI advertising: The mediating role of perceived uncanniness. Cyberpsychology, Behavior, and Social Networking, 29(2), 109–113. https://doi.org/10.1177/21522715251410335
  27. Jalaboi, E. (2025). Synthetic imagery and brand communication: A semiotic analysis of AI visuals in advertising. The Journal of Communication and Media Studies, 11(1), 69–94. https://doi.org/10.18848/2470-9247/CGP/v11i01/69-94
  28. Jung, T., Koghut, M., Lee, E. ve Kwon, O. (2025). Artificial creativity in luxury advertising: How trust and perceived humanness drive consumer response to AI-generated content. Journal of Retailing and Consumer Services, 87, 104403, 1-12. https://doi.org/10.1016/j.jretconser.2025.104403
  29. Kaya, İ. ve Pekman, C. (2025). Türkiye’de yapay zekâ teknolojisi ve reklamcılık sektörü: Sektör çalışanlarının deneyimleri üzerine bir araştırma. Beykoz Akademi Dergisi, 13(2), 406–439. https://doi.org/10.14514/beykozad.1568043
  30. Kietzmann, J., Paschen, J. ve Treen, E. (2018). Artificial intelligence in advertising. Journal of Advertising Research, 58(3), 263–267. https://doi.org/10.2501/JAR-2018-035
  31. Kim, K., Hayes, J. L., Avant, J. A. ve Reid, L. N. (2014). Trends in advertising research: A longitudinal analysis of leading advertising, marketing, and communication journals, 1980 to 2010. Journal of Advertising, 43(3), 296–316. https://doi.org/10.1080/00913367.2013.857620
  32. Kim, S. ve Cho, E. (2026). How AI involvement affects curiosity and content engagement in AI-generated advertisements. Journal of Retailing and Consumer Services, 92, 1-10. https://doi.org/10.1016/j.jretconser.2026.104756
  33. Köse, G., Geçit, E. ve Yeygel Çakır, S. (2024). Reklam üretim süreci bağlamında yapay zekâ ve yaratıcı düşünce: Bibliyometrik bir analiz. IBAD Sosyal Bilimler Dergisi, 17, 281–305. https://doi.org/10.21733/ibad.1555574
  34. Li, H. (2019). Special section introduction: Artificial intelligence and advertising. Journal of Advertising, 48(4), 333–337. https://doi.org/10.1080/00913367.2019.1654947
  35. Liu, H. (2023). Creative design and technical analysis of animation public service advertisement based on ant colony optimization algorithm. International Journal of Digital Multimedia Broadcasting, 2023, 1–9. https://doi.org/10.1155/2023/5059665
  36. Madathil, J. C. (2025). Generative AI advertisements and human–AI collaboration: The role of humans as gatekeepers of humanity. Journal of Retailing and Consumer Services, 87, 104381, 1-10. https://doi.org/10.1016/j.jretconser.2025.104381
  37. Martínez, I. J., Terrón, J. M. A. ve Cobarro, S. del H. S. (2022). Smart advertising: AI-driven innovation and technological disruption in the advertising ecosystem. Revista Latina de Comunicación Social, 80, 69–90. https://www.doi.org/10.4185/RLCS-2022-1693
  38. Micaletto Belda, J. S., Bertola Garbellini, A. ve Martín Ramallal, S. (2026). Advertising creativity and artificial intelligence: A view from the industry sector. Index.comunicación, 16(1), 123–148. https://doi.org/10.62008/ixc/16/01Creati.
  39. Mutlu, E. (2025). Yaratıcılığın sınırları: Yapay zekâ yaratıcılığına bir bakış. Moment Journal, 11(2), 422–446. https://doi.org/10.17572/mj2024.2.422-446
  40. Ogawa, N., Okafuji, Y., Hatada, Y. ve Baba, J. (2025). Understanding collaboration between professional designers and decision-making AI: A case study in the workplace. Proceedings of the ACM on Human-Computer Interaction, 9(7), 1–26. https://doi.org/10.1145/3757686
  41. Onur, D. ve Zorlu, T. (2017). Yaratıcılık kavramı ile ilişkili kuramsal yaklaşımlar. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 6(3), 1535–1552. https://doi.org/10.15869/itobiad.310394
  42. Pagani, M. ve Wind, Y. (2025). Unlocking marketing creativity using artificial intelligence. Journal of Interactive Marketing, 60(1), 1–24. https://doi.org/10.1177/10949968241265855.
  43. Page, M. J., McKenzie, J. E., Bossuyt, P. M. ve ark. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Research Methods and Reporting, 372(71), 1-9. https://doi.org/10.1136/bmj.n71.
  44. Qin, X. ve Jiang, Z. (2019). The impact of AI on the advertising process: The Chinese experience. Journal of Advertising, 48(4), 338–346. https://doi.org/10.1080/00913367.2019.1652122
  45. Rauwers, F., Remmelswaal, S., Fransen, M. L., Dahlén, M. ve van Noort, G. (2018). The impact of creative media advertising on consumer responses: Two field experiments. International Journal of Advertising, 37(5), 749–768. https://doi.org/10.1080/02650487.2018.1480167
  46. Sasser, S. L. ve Koslow, S. (2008). Desperately seeking advertising creativity: Engaging an imaginative “3Ps” research agenda. Journal of Advertising, 37(4), 5–20. https://doi.org/10.2753/JOA0091-3367370401
  47. Serra-Simón, J., Puntí-Brun, M., Espinosa-Mirabet, S., de Faria Nogueira, M. A., Martín-Guart, R. ve Tôrres de Azevedo, S. (2025). Generative artificial intelligence in advertising: Field applications in Rio de Janeiro and Catalonia. Telecommunications Policy, 49(8), 103033, 1-12. https://doi.org/10.1016/j.telpol.2025.103033.
  48. Smith, R. E., MacKenzie, S. B., Yang, X., Buchholz, L. M. ve Darley, W. K. (2007). Modeling the determinants and effects of creativity in advertising. Marketing Science, 26(6), 819–833. https://doi.org/10.1287/mksc.1070.0272
  49. So, C. Y. K. (1988). Citation patterns of core communication journals an assessment of the developmental status of communication. Symposium on Mass and interpersonal Communication, Human Communication Research, 15(2), 236-255. https://doi.org/10.1111/j.1468-2958.1988.tb00183.x.
  50. Vakratsas, D. ve Wang, X. (2021). Artificial intelligence in advertising creativity. Journal of Advertising, 50(1), 39–51. https://doi.org/10.1080/00913367.2020.1843090
  51. Vanden Bergh, B. ve Stuhlfaut, M. (2006). Is advertising creativity primarily an individual or a social process? Mass Communication and Society, 9(4), 373–397. https://doi.org/10.1207/s15327825mcs0904_1
  52. Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A. ve Trichina, E. (2022). Artificial intelligence, robotics, advanced technologies and human resource management: A systematic review. The International Journal of Human Resource Management, 33(6), 1237–1266. https://doi.org/10.1080/09585192.2020.1871398
  53. Wirtz, B. W., Weyerer, J. C. ve Geyer, C. (2019). Artificial intelligence and the public sector—Applications and challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103
  54. Wu, L. ve Jing Wen, T. (2021). Understanding AI advertising from the consumer perspective. Journal of Advertising Research, 61(2), 133–146. https://doi.org/10.2501/JAR-2021-004
  55. Yang, Q., Farseev, A., Ongpin, M., Huang, A., Chu-Farseeva, Y.-Y., You, D.-M., Lepikhin, K. ve Nikolenko, S. (2025). Fusing predictive and large language models for actionable recommendations in creative marketing. ACM Transactions on Information Systems, 43(5), 1–31. https://doi.org/10.1145/3725885
  56. Yoo, K., Joo, E., Choi, H., Reid, L. ve Kim, J. (2015). Trends in the use of statistics in major advertising journals over four decades. International Journal of Advertising, 34(3), 549–572. https://doi.org/10.1080/02650487.2015.1005513
  57. Yorgancıoğlu Tarcan, G., Yalçın Balçık, S. ve Sebik, N. B. (2024). Türkiye ve dünyada sağlık hizmetlerinde yapay zekâ. Mersin Üniversitesi Tıp Fakültesi Lokman Hekim Tıp Tarihi ve Folklorik Tıp Dergisi, 14(1), 50–60. https://doi.org/10.31020/mutftd.1278529.