Investigating End-user Acceptance of Last-mile Delivery by Autonomous Vehicles in the United States
Antonios Saravanos (1), Olivia Verni (1), Ian Moore (1), Sall, Aboubacar (1), Jen Arriaza (1), Sabrina Jivani (1), Audrey Bennett (1), Siqi, Li (1), Dongnanzi Zheng (1), Stavros Zervoudakis (1) ((1) New York, University)

TL;DR
This study examines factors influencing American consumers' acceptance of autonomous vehicle delivery, highlighting perceived usefulness, social influence, enjoyment, and risk perception as key determinants affecting acceptance levels.
Contribution
It provides empirical insights into end-user acceptance factors for autonomous last-mile delivery vehicles in the U.S., using PLS-SEM analysis.
Findings
Perceived usefulness strongly influences acceptance.
Social influence impacts acceptance decisions.
Perceived risk decreases acceptance, but most participants see it as low risk.
Abstract
This paper investigates the end-user acceptance of last-mile delivery carried out by autonomous vehicles within the United States. A total of 296 participants were presented with information on this technology and then asked to complete a questionnaire on their perceptions to gauge their behavioral intention concerning acceptance. Structural equation modeling of the partial least squares flavor (PLS-SEM) was employed to analyze the collected data. The results indicated that the perceived usefulness of the technology played the greatest role in end-user acceptance decisions, followed by the influence of others, and then the enjoyment received by interacting with the technology. Furthermore, the perception of risk associated with using autonomous delivery vehicles for last-mile delivery led to a decrease in acceptance. However, most participants did not perceive the use of this technology…
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