Applying UTAUT2 to understanding online buyers’ intention to adopt delivery drones in Iran

Articles in Press

Document Type : Research Article

Author

Civil Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran

Abstract

Drone delivery is an emergent idea for last-mile delivery that has received the attention of many service providers, marketing activists, and logistic planners. This study is aimed at determining the factors influential in the acceptance of delivery drones as a new way for last-mile delivery in the future. In this regard, the study model was proposed using the unified theory of acceptance and use of technology (UTAUT2) as the base model and adding socio-demographic variables (age, education, gender, monthly household income and drone delivery familiarity) as control variables to it. The information about 357 Iranian buyers was collected for the partial least square structural equation modeling (PLS-SEM) by designing an online questionnaire. The results indicated that all variables of UTAUT2, except for performance expectancy (effort expectancy, facilitating conditions and hedonic motivation), had a positive and significant effect on the intention of buyers to use delivery drones. In addition, the effect of monthly household income and drone delivery familiarity was also positive and significant. In the end, the theoretical and applied results of the study are explained.

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Amirkabir Journal of Civil Engineering

Articles in Press, Accepted Manuscript
Available Online from 11 May 2025

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