Araştırma Makalesi

Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps

Cilt: 16 Sayı: 1 26 Mart 2026
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Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps

Öz

The way the more conventional retail sector conducts business and interacts with customers has been drastically altered by the convergence of artificial intelligence, the Internet of Things, augmented reality, big data analysis, and automation. Although thorough research analysis is still scarce, an increasing number of studies have surfaced in recent years due to the advancement of smart retail technology. In order to achieve this, 232 pertinent studies that were located in the Web of Science were analyzed using the bibliometric analysis program VOSviewer. The results demonstrate that while sustainability, ethics, and consumer trust in AI retailing have received relatively little attention, previous research has mostly focused on technology acceptance, omnichannel, and consumer behavior. The main themes and clusters found in the literature on smart retail are identified in this article, along with some previously unexplored topics like sustainability and AI ethics. In keeping with that, this study provides researchers and practitioners with a solid quantitative viewpoint and suggests strategic paths for further research and practice in this dynamic and quickly changing field.

Anahtar Kelimeler

Kaynakça

  1. Alexander, B., & Kent, A. (2022). Change in technology-enabled omnichannel customer experiences in-store. Journal of Retailing and Consumer Services, 65, 102338.https://doi.org/10.1016/j.jretconser.2020.102338
  2. Alexander, B., & Cano, M. B. (2020). Store of the future: Towards a (re)invention and (re)imagination of physical store space in an omnichannel context. Journal of Retailing and Consumer Services, 55, 101913. https://doi.org/10.1016/j.jretconser.2019.101913
  3. Aversa, P., Hernandez, E., & Doherty, S. (2021). Incorporating big data within retail organizations: A case study approach. Journal of Retailing and Consumer Services, 60, 102447. https://doi.org/10.1016/j.jretconser.2021.102447
  4. Beck, N., & Rygl, D. (2015). Categorization of multiple channel retailing in Multi-, Cross-, and Omni‐Channel Retailing for retailers and retailing. Journal of Retailing and Consumer Services, 27, 170–178. https://doi.org/10.1016/j.jretconser.2015.08.001
  5. Brengman, M., De Gauquier, L., Willems, K., & Vanderborght, B. (2021). From seeing to serving: Consumer response to service robots. Journal of Business Research, 134, 263–274. https://doi.org/10.1016/j.jbusres.2021.05.025
  6. Caboni, F., & Hagberg, J. (2019). Augmented reality in retailing: A review of features, applications and value. International Journal of Retail & Distribution Management, 47(11), 1125–1140.https://doi.org/10.1108/IJRDM-12-2018-0263
  7. Dekimpe, M. G. (2020). Retailing and retailing research in the age of big data analytics. International Journal of Research in Marketing, 37(1), 3–14. https://doi.org/10.1016/j.ijresmar.2019.09.001
  8. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Ayrıntılar

Birincil Dil

İngilizce

Konular

Dijital Pazarlama

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

26 Mart 2026

Gönderilme Tarihi

23 Ağustos 2025

Kabul Tarihi

18 Ocak 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 16 Sayı: 1

Kaynak Göster

APA
Daldıran, K., & Güllü, K. (2026). Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 16(1), 226-249. https://doi.org/10.30783/nevsosbilen.1770838
AMA
1.Daldıran K, Güllü K. Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi. 2026;16(1):226-249. doi:10.30783/nevsosbilen.1770838
Chicago
Daldıran, Kübra, ve Kenan Güllü. 2026. “Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps”. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 16 (1): 226-49. https://doi.org/10.30783/nevsosbilen.1770838.
EndNote
Daldıran K, Güllü K (01 Mart 2026) Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 16 1 226–249.
IEEE
[1]K. Daldıran ve K. Güllü, “Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps”, Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, c. 16, sy 1, ss. 226–249, Mar. 2026, doi: 10.30783/nevsosbilen.1770838.
ISNAD
Daldıran, Kübra - Güllü, Kenan. “Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps”. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 16/1 (01 Mart 2026): 226-249. https://doi.org/10.30783/nevsosbilen.1770838.
JAMA
1.Daldıran K, Güllü K. Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi. 2026;16:226–249.
MLA
Daldıran, Kübra, ve Kenan Güllü. “Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps”. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, c. 16, sy 1, Mart 2026, ss. 226-49, doi:10.30783/nevsosbilen.1770838.
Vancouver
1.Kübra Daldıran, Kenan Güllü. Mapping the intellectual landscape of AI-powered smart retailing: A bibliometric analysis of emerging trends, research gaps. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi. 01 Mart 2026;16(1):226-49. doi:10.30783/nevsosbilen.1770838