IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 03

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

Sharda School of Business Studies, Sharda University, Greater Noida,

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

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.

Search & Index

References


  1. Ansari, N. M., Khan, N., Iqbal, R., Ismail, M., & Gul, H. (2025). Autonomous drone navigation using AI: Revolutionizing last-mile delivery in e-commerce and logistics. Kashf Journal of Multidisciplinary Research2(03), 217-231.

  2. Caballero-Martin, D., Lopez-Guede, J. M., Estevez, J., & Graña, M. (2024). Artificial intelligence applied to drone control: A state of the art. Drones8(7), 296.

  3. Joshi, A., Spilbergs, A., & Miķelsone, E. (2024, June). AI-enabled drone autonomous navigation and decision making for defence security. In ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference (Vol. 4, pp. 138-143).

  4. Maharajan, M. S., Deepa, A., Bhargavi, C. H., Kannan, K. G., & Howard, E. (2024). Using AI to improve autonomous unmanned aerial vehicle navigation. International Journal of Intelligent Systems and Applications in Engineering12(14s), 368-376. https://doi.org/10.18280/ijisae.1214s.060

  5. Miranda, V. R., Rezende, A. M., Rocha, T. L., Azpúrua, H., Pimenta, L. C., & Freitas, G. M. (2022). Autonomous navigation system for a delivery drone. Journal of Control, Automation and Electrical Systems33(1), 141-155.

  6. Mohsen, B. M. (2024). AI-driven optimization of urban logistics in smart cities: Integrating autonomous vehicles and IoT for efficient delivery systems. Sustainability16(24), 11265.

  7. Singh, D., Verma, A., & Bhatt, A. J. (2025). Issues in Autonomous Navigation. In Advances in Autonomous Navigation through Intelligent Technologies (pp. 151-163). Apple Academic Press.

  8. Shaklab, E., Karapetyan, A., Sharma, A., Mebrahtu, M., Basri, M., Nagy, M., ... & Dias, J. (2023). Towards autonomous and safe last-mile deliveries with ai-augmented self-driving delivery robots. arXiv preprint arXiv:2305.17705.

  9. Sorooshian, S., Khademi Sharifabad, S., Parsaee, M., & Afshari, A. R. (2022). Toward a modern last-mile delivery: Consequences and obstacles of intelligent technology. Applied System Innovation5(4), 82.

  10. Thangamani, R., Suguna, R. K., & Kamalam, G. K. (2024). Drones and autonomous robotics incorporating computational intelligence. Computational intelligent techniques in mechatronics, 243-296.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Mar 22 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top