Published on: March 2026 2026
AI-DRIVEN AUTONOMOUS DRONE DELIVERY: AN EMPIRICAL STUDY OF CONSUMER AWARENESS, TRUST, AND ADOPTION
Samridhi Nagpal , Mani Pushpak , Tashi Sadh
Dr. Chhavi Jain
Article Status
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Abstract
The rapid expansion of e-commerce has significantly increased the demand for faster and more efficient delivery systems. Traditional delivery methods often face challenges such as traffic congestion, high fuel costs, delays, and environmental concerns. In this context, Artificial Intelligence (AI)-enabled autonomous drones have emerged as a promising solution for last-mile delivery. This study adopts an empirical approach based on primary data collected through a structured questionnaire. It examines consumer awareness, perception, willingness to adopt, and trust in AI-based drone delivery services. The findings reveal that while awareness and perceived benefits are high, actual adoption remains limited due to concerns related to cost, safety, and trust. The study concludes that AI-driven drone delivery has strong future potential, but its success depends on improving affordability, regulatory support, and consumer confidence.
How to Cite this Paper
Sadh, S. N. ,. M. P. ,. T. (2026). AI-Driven Autonomous Drone Delivery: An Empirical Study of Consumer Awareness, Trust, and Adoption. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(03). https://doi.org/10.55041/ijcope.v2i3.113
Sadh, Samridhi. "AI-Driven Autonomous Drone Delivery: An Empirical Study of Consumer Awareness, Trust, and Adoption." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.113.
Sadh, Samridhi. "AI-Driven Autonomous Drone Delivery: An Empirical Study of Consumer Awareness, Trust, and Adoption." International Journal of Creative and Open Research in Engineering and Management 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.113.
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Ethical Compliance & Review Process
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Mar 22 2026
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