ARTIFICIAL INTELLIGENCE IN RETAIL: CONSUMER ATTITUDES TOWARD VOICE COMMERCE
Резюме
The global volume of e-commerce has been steadily increasing, prompting retailers to adopt online sales channels alongside traditional physical stores. A similar trend is observed in the adoption of artificial intelligence in retail, where AI is becoming a key prerequisite for market competitiveness. E-commerce encompasses multiple dimensions, and the present study focuses on one increasingly relevant area: voice commerce. The paper aims to examine the use of artificial intelligence in voice commerce through an online consumer survey and in-depth interviews with industry practitioners. The findings provide insights into consumer attitudes, perceived benefits, barriers to adoption, and the practical implications of AI-based voice commerce for improving customer experience and enhancing market competitiveness.
Ключови думи
JEL класификация
Как да се цитира
Литература (библиография)
Akamai. (n.d.). What is machine learning (ML)? Available at https://www.akamai.com/glossary/what-is-machine-learning-ml
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C. & Wirth, R. (2000). CRISP-DM 1.0: Step-by-step data mining guide. SPSS.
Davenport, T. H. & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96 (1), 108–116.
Hasan, M. T. & Rabby, F. (2026). Big data and artificial intelligence (AI) in e-business: Opportunity and challenges in business growth. International Journal of Research and Innovation in Social Science, 10 (1), 5323–5331. https://doi.org/10.47772/IJRISS.2026.10100410
Iansiti, M. & Lakhani, K. R. (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world. Harvard Business Review Press.
IBM. (n.d.). Computer vision. IBM Think. Available at https://www.ibm.com/fr-fr/think/topics/computer-vision.
International Organization for Standardization. (n.d.). What is natural language processing? Available at https://www.iso.org/artificial-intelligence/natural-language-processing
Provost, F. & Fawcett, T. (2013). Data science for business: What you need to know about data mining and data-analytic thinking. O'Reilly Media.
Mittal, M. & Manocha, S. (2023). “Alexa! What is voice commerce?” Examining consumer behavior towards voice assistants. International Management Review, 19 (Spring Special Issue), 21–30.
Nguyen, D. H. A. (2026). The impact of integrating artificial intelligence tools on customer experience in e-commerce. GAS Journal of Economics and Business Management, 3 (1), 174–207. https://doi.org/10.5281/zenodo.18145845
Prasanthi, P., Dhinakaran, D. P., Neelima, S., Rajalakshmi, M., Natarajan, S. & Kumar, R. (2025). Voice commerce and AI: Redefining the online shopping experience. The Journal of African Development, 6 (1), 132–138.
Ries, E. (2011). The lean startup: How today's entrepreneurs use continuous innovation to create radically successful businesses. Crown Business.
Satija, S. & Singla, A. R. (2025). AI adoption in e-commerce: A literature & bibliometric review. Academy of Marketing Studies Journal, 29 (3), 1–15.
Talend. (n.d.). Analyse prédictive. Available at https://www.talend.com/fr/resources/analyse-predictive/