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

Yıl 2026, Cilt: 16 Sayı: 1 , 226 - 249 , 26.03.2026

Kübra Daldıran , Kenan Güllü

https://doi.org/10.30783/nevsosbilen.1770838

https://izlik.org/JA87GE67YU

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

Smart Retailing , Artificial Intelligence , Internet of Things , Digital Marketing , Consumer Behavior

Yapay zekâ destekli akıllı perakendecilik: Trendlerin ve araştırma boşluklarının bibliyometrik analizi

https://izlik.org/JA87GE67YU

Öz

Yapay zekâ, Nesnelerin İnterneti, artırılmış gerçeklik, büyük veri analitiği ve otomasyonun etkileşimiyle gelişen akıllı perakendecilik, geleneksel iş modelleri ve müşteri etkileşimlerini köklü biçimde dönüştürmüştür.
Son yıllarda bu alandaki literatür hızla büyüse de, araştırma eğilimlerini ve katkıları nicel olarak ortaya koyan, aynı zamanda araştırma boşluklarını kapsamlı biçimde gösteren çalışmalar sınırlıdır. Bu çalışma, Web of Science veritabanından elde edilen 232 yayının VOSviewer ile analizine dayalı bibliyometrik bir inceleme sunarak bu boşluğu gidermektedir.
Bulgular, araştırmaların teknoloji benimseme, çok kanallı stratejiler ve tüketici davranışına odaklandığını; buna karşın sürdürülebilirlik, etik boyutlar ve YZ destekli perakende ortamlarında uzun vadeli güven konularının yeterince incelenmediğini göstermektedir. Makale, literatürdeki başlıca kümeleri ve temaları tanımlamakta, özellikle sürdürülebilirlik ve yapay zekâ etiğindeki araştırma eksikliklerini vurgulamaktadır. Sonuçlar, araştırmacılar ve uygulayıcılar için değerli bir nicel bakış açısı sunmakta ve gelecekteki çalışmalar ile pratik uygulamalara yönelik stratejik öneriler geliştirmektedir.

Anahtar Kelimeler

Akıllı Perakendecilik , Yapay Zeka , Nesnelerin İnterneti , Dijital Pazarlama , Tüketici Davranışı

Kaynakça

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• El Bhilat, E. M., & Hamidi, L. S. (2025). Achieving efficiency and sustainability in digital retail supply chains: A systematic literature review and research agenda. International Journal of Productivity and Performance Management. 74 (7), 2337–2356. https://doi.org/10.1108/IJPPM-07-2024-0486
• Flavián, C., Ibáñez-Sánchez, S., & Orús, C. (2019). The impact of virtual, augmented and mixed reality technologies on the customer experience. Journal of Business Research, 100, 547–560. https://doi.org/10.1016/j.jbusres.2018.10.050
• Francisco, K., & Swanson, D. (2018). The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics, 2(1), 2. https://doi.org/10.3390/logistics2010002
• Garaus, M., Wolfsteiner, E., & Wagner, U. (2016). Shoppers’ acceptance and perceptions of electronic shelf labels. Journal of Business Research, 69(9), 3687–3692. https://doi.org/10.1016/j.jbusres.2016.03.030
• Gazzola, P., Grechi, D., Martinelli, I., & Pezzetti, R. (2022). The innovation of the cashierless store: A preliminary analysis in Italy. Sustainability, 14(4), 2034.https://doi.org/10.3390/su14042034
• Grewal, D., Gauri, D. K., Roggeveen, A. L., & Sethuraman, R. (2020). Retailing in the 21st century and beyond: Theories and projections. Journal of Retailing, 96(1), 1-12. https://doi.org/10.1016/j.jretai.2019.10.008 Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1–6. https://doi.org/10.1016/j.jretai.2016.12.008
• Hagberg, J., Sundström, M., & Egels-Zandén, N. (2016). The digitalization of retailing: An exploratory framework. International Journal of Retail & Distribution Management, 44(7), 694–712.https://doi.org/10.1108/IJRDM-09-2015-0140
• Haque, A., Akther, N., Khan, I., Agarwal, K., & Uddin, N. (2024). Artificial intelligence in retail marketing: Research agenda based on bibliometric reflection and content analysis (2000–2023). Informatics, 11(4), 74. https://doi.org/10.3390/informatics11040074
• Hardgrave, B. C., Aloysius, J. A., & Goyal, S. (2013). RFID-enabled visibility and retail inventory record inaccuracy: Experiments in the field. Production and Operations Management, 22(4), 843–856. https://doi.org/10.1111/poms.12010
• Hilken, T., de Ruyter, K., Chylinski, M. (2017). Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences. J. of the Acad. Mark. Sci. 45, 884–905. https://doi.org/10.1007/s11747-017-0541-x
• Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246–259. https://doi.org/10.1016/j.elerap.2012.12.003
• Hübner, A., Holzapfel, A., & Kuhn, H. (2016). Distribution systems in omnichannel retailing. Business Research, 9(2), 255–296. https://doi.org/10.1007/s40685-016-0034-7
• Inman, J. J., & Nikolova, H. (2017). Shopper-facing retail technology: A retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of Retailing, 93(1), 7–28. https://doi.org/10.1016/j.jretai.2016.12.006
• Kim, J., & Peterson, R. A. (2017). A meta-analysis of online trust relationships in e-commerce. Journal of Interactive Marketing, 38, 44–54. https://doi.org/10.1016/j.intmar.2017.01.001
• Kim, Y., Choi, Y. K., & Rifon, N. J. (2021). The impact of AI-powered chatbots on customer experience in retail: The mediating role of trust and the moderating role of perceived risk. Journal of Business Research, 124, 202-213. https://doi.org/10.1016/j.jbusres.2020.11.052
• Koseoglu, M. A., Rahimi, R., Okumus, F., & Liu, J. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61, 180–198. https://doi.org/10.1016/j.annals.2016.09.009
• Madsen, D. Ø., Berg, T., & Di Nardo, M. (2023). Bibliometric trends in industry 5.0 research: an updated overview. Applied System Innovation, 6(4), 63. https://doi.org/10.3390/asi6040063
• Merfeld, K., Klein, J. F., de Regt, A., Baltin, A.-S., & Henkel, S. (2025). In-store technology personalization: A typology and research agenda based on type of automation and data collection. Journal of Business Research, 191, 115236.https://doi.org/10.1016/j.jbusres.2025.115236
• Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5
• Mosquera A, Olarte-Pascual C, Juaneda Ayensa E, Sierra Murillo Y (2018), "The role of technology in an omnichannel physical store: Assessing the moderating effect of gender". Spanish Journal of Marketing - ESIC, 22 1, 63–82, doi: https://doi.org/10.1108/SJME-03-2018-008
• Ogunjimi, A. O., Rahman,M., Islam,N., & Hasan,R. (2021). Smart mirror fashion technology for the retail chain transformation. Technological Forecasting and Social Change, 173, 121118. https://doi.org/10.1016/j.techfore.2021.121118
• Pantano, E. (2014). Innovation drivers in the retail industry. International Journal of Information Management, 34(3), 344–350.https://doi.org/10.1016/j.ijinfomgt.2014.03.002
• Pantano, E., & Timmermans, H. (2014). What is smart for retailing? Procedia Environmental Sciences, 22, 101–107. https://doi.org/10.1016/j.proenv.2014.11.010
• Pantano, E., Priporas, C.-V., & Dennis, C., (2018). A new approach to retailing for successful competition in the new smart scenario. International Journal of Retail & Distribution Management, 46(3), 264–282.https://doi.org/10.1108/IJRDM-04-2017-0080
• Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two-country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81–95. https://doi.org/10.1016/j.jretconser.2017.05.011
• Park, H. J., & Zhang, Y. (2022). Technology readiness and the consumer paradox of unmanned convenience store users. Journal of Retailing and Consumer Services, 65, 102523. https://doi.org/10.1016/j.jretconser.2021.102523
• Poushneh, A., & Vasquez-Parraga, A. Z. (2017). Discernible impact of augmented reality on retail customer’s experience. Journal of Retailing and Consumer Services, 34, 229–234. https://doi.org/10.1016/j.jretconser.2016.10.005
• Piotrowicz, W., & Cuthbertson, R. (2014). Introduction to the special issue: Information technology in retail: Toward omnichannel retailing. International Journal of Electronic Commerce, 18(4), 5–16. https://doi.org/10.2753/JEC1086-4415180400
• Pizzi, G., Scarpi, D., & Pantano, E. (2020). Privacy threats with retail technologies: A consumer perspective. Journal of Retailing and Consumer Services, 52, 101923. https://doi.org/10.1016/j.jretconser.2019.101923
• Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and behavioral intention models. Journal of Retailing and Consumer Services, 38, 133–149. https://doi.org/10.1016/j.jretconser.2017.06.004
• Robertson, J., Botha, E., Walker, B., Wordsworth, R., & Balzarova, M. (2022). Fortune favours the digitally mature: The impact of digital maturity on the organisational resilience of SME retailers during COVID-19. International Journal of Retail & Distribution Management 50,( 8-9), 1182–1204. https://doi.org/10.1108/IJRDM-10-2021-0514
• Schultz, M., & Paetz, F. (2025). Cashierless shopping systems: Mobile apps, self-checkouts, and face recognition in retailing. Journal of Retailing and Consumer Services, 83, 104280. https://doi.org/10.1016/j.jretconser.2025.104280
• Shankar, V., Kalyanam, K., Setia, P., et al. (2021). How technology is changing retail. Journal of Retailing, 97(1), 13–27.https://doi.org/10.1016/j.jretai.2020.10.006 Thomas,R., O'Hare, G.& Coyle, D.(2023) Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production. Technological Forecasting and Social Change, 189, 122374. https://doi.org/10.1016/j.techfore.2023.122374
• Vadruccio, R., Seghezzi, A., & Tumino, A. (2024). Smart technologies for retailing: Who, what, where and why. International Journal of Retail & Distribution Management, 52(13), 79–102. https://doi.org/10.1108/IJRDM-06-2023-0408
• Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
• Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
• Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omnichannel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181. https://doi.org/10.1016/j.jretai.2015.02.005
• Vadruccio R, Seghezzi A, Tumino A (2024), "Smart technologies for retailing: who, what, where and why". International Journal of Retail & Distribution Management, 52 (13) ,79–102, doi: https://doi.org/10.1108/IJRDM-06-2023-0408
• Wagner, S. M., & Neshat, N. (2010). Assessing the vulnerability of supply chains using graph theory. International Journal of Production Economics, 126(1), 121–129. https://doi.org/10.1016/j.ijpe.2009.10.007
• Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234–246. https://doi.org/10.1016/j.ijpe.2014.12.031
• Zheng, L., & Li, Y. (2024). Customer journey design in omnichannel retailing. Journal of Retailing and Consumer Services, 78, 103776. https://doi.org/10.1016/j.jretconser.2024.103776