Araştırma Makalesi

Artificial Intelligence in Marketing: Next Generation Strategies and Applications

Cilt: 8 Sayı: 3 15 Ekim 2025
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Artificial Intelligence in Marketing: Next Generation Strategies and Applications

Öz

This study examines the impact of artificial intelligence (AI) on marketing strategies and the opportunities it offers to businesses. AI provides tangible benefits to marketing processes through functions such as analyzing customer behavior, delivering personalized experiences, and optimizing campaign management. The research examines AI-supported strategies in areas such as chatbots, AI advertising, and content production, revealing how these technologies offer innovative solutions in marketing. The aim of the study is to evaluate the theoretical contributions and practical applications of AI and provide businesses with a strategic roadmap. In this context, a research question has been identified: (1) What are the new generation marketing strategies developed with artificial intelligence? The study examines case studies and examples of successful AI applications, demonstrating that the integration of AI into marketing strategies brings success and efficiency to businesses. The successful integration of AI into marketing systems strengthens business agility, supports real-time responsiveness to market shifts, and enhances consumer loyalty through hyper-personalized interactions. However, realizing the full potential of AI requires a holistic strategy that addresses both technical and ethical dimensions.

Anahtar Kelimeler

Destekleyen Kurum

No financial support was received for the conduct of the research.

Etik Beyan

This paper complies with Research and Publication Ethics, has no conflict of interest to declare, and has received no financial support. The article has been checked for spelling and plagiarism/similarity. The article was evaluated by "at least two external referees" and "double blinding" method. The author sent a signed "Copyright Transfer Form" to the journal. There is no need to obtain ethical permission for the current study as per the legislation. The "Declaration Form Regarding No Ethics Permission Required" was sent to the journal by the author on this subject. The author contributed to all sections and stages of the study alone.

Kaynakça

  1. ADAM, Martin, WESSEL, Michael and BENLIAN, Alexander (2021), “AI-Based Chatbots in Customer Service and Their Effects on User Compliance”, Electronic Markets, S.31(2), ss.427-445.
  2. AI EXPERT NETWORK (2024), “Zara's Comprehensive Approach to AI and Supply Chain Management”, AI Expert Network Corporate Web Page (E-News), https://aiexpert.network/case-study-zaras-comprehensive-approach-to-ai-and-supply-chain-management/ (Date of Access: 23.11.2024).
  3. ANJORIN, Kikelomo Fadilat, RAJI, Mustafa Ayobami, OLODO, Hameedat Bukola and OYEYEMI, Oluwaseun Peter (2024), “Harnessing Artificial Intelligence to Develop Strategic Marketing Goals”, International Journal of Management & Entrepreneurship Research, S.6(5), ss.1625-1650.
  4. ARSLAN, Kürşat (2020), “Eğitimde Yapay Zekâ ve Uygulamaları”, Batı Anadolu Eğitim Bilimleri Dergisi, S.11(1), ss.71-88.
  5. BEHERA, Rajat Kumar, BALA, Pradip Kumar, RANA, Nripendra P., ALGHARABAT, Raed Salah and KUMAR, Kumad (2024), “Transforming Customer Engagement with Artificial Intelligence E-Marketing: An E-Retailer Perspective in the Era of Retail 4.0.”, Marketing Intelligence & Planning, S.42(7), ss.1141-1168.
  6. BELAČIĆ, Aleksandra and ALČAKOVIĆ, Slavko (2024), “Review of the Role of Generative Artificial Intelligence in Contemporary Digital Marketing”, Zbornik Radova Univerziteta Sinergija, S.24(9), ss.7-10.
  7. BHUIYAN, Mohammad Shafiquzzaman (2024), “The Role of AI-Enhanced Personalization in Customer Experiences”, Journal of Computer Science and Technology Studies, S.6(1), ss.162-169.
  8. BOUCHAREB, Nasser and MORAD, İsmail (2024), “Analyzing the Impact of AI-Generated Email Marketing Content on Email Deliverability in Spam Folder Placement”, Holistica Journal of Business and Public Administration, S.15(1), ss.96-106.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Pazarlama Yönetimi

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Ekim 2025

Gönderilme Tarihi

21 Ocak 2025

Kabul Tarihi

28 Eylül 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 8 Sayı: 3

Kaynak Göster

APA
Gülbaşı, A. (2025). Artificial Intelligence in Marketing: Next Generation Strategies and Applications. Uluslararası Yönetim Akademisi Dergisi, 8(3), 786-801. https://doi.org/10.33712/mana.1624405
AMA
1.Gülbaşı A. Artificial Intelligence in Marketing: Next Generation Strategies and Applications. Yönetim Akademisi. 2025;8(3):786-801. doi:10.33712/mana.1624405
Chicago
Gülbaşı, Ali. 2025. “Artificial Intelligence in Marketing: Next Generation Strategies and Applications”. Uluslararası Yönetim Akademisi Dergisi 8 (3): 786-801. https://doi.org/10.33712/mana.1624405.
EndNote
Gülbaşı A (01 Ekim 2025) Artificial Intelligence in Marketing: Next Generation Strategies and Applications. Uluslararası Yönetim Akademisi Dergisi 8 3 786–801.
IEEE
[1]A. Gülbaşı, “Artificial Intelligence in Marketing: Next Generation Strategies and Applications”, Yönetim Akademisi, c. 8, sy 3, ss. 786–801, Eki. 2025, doi: 10.33712/mana.1624405.
ISNAD
Gülbaşı, Ali. “Artificial Intelligence in Marketing: Next Generation Strategies and Applications”. Uluslararası Yönetim Akademisi Dergisi 8/3 (01 Ekim 2025): 786-801. https://doi.org/10.33712/mana.1624405.
JAMA
1.Gülbaşı A. Artificial Intelligence in Marketing: Next Generation Strategies and Applications. Yönetim Akademisi. 2025;8:786–801.
MLA
Gülbaşı, Ali. “Artificial Intelligence in Marketing: Next Generation Strategies and Applications”. Uluslararası Yönetim Akademisi Dergisi, c. 8, sy 3, Ekim 2025, ss. 786-01, doi:10.33712/mana.1624405.
Vancouver
1.Ali Gülbaşı. Artificial Intelligence in Marketing: Next Generation Strategies and Applications. Yönetim Akademisi. 01 Ekim 2025;8(3):786-801. doi:10.33712/mana.1624405