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Customer perception and acceptance of autonomous delivery vehicles in the State of Kuwait during COVID-19

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  • AlKheder, Sharaf
  • Bash, Amina
  • Al Baghli, Zahra
  • Al Hubaini, Rahaf
  • Al Kader, Abedallah

Abstract

COVID-19 is one of the most important dilemmas that took place during the last few years. Logisticians worked hard to present a new mechanism called Autonomous Delivery Vehicles (ADVs) by which they afford help making life easier for people during pandemic while trying to reduce pollution on road as well. This work mainly aimed to explore Unified Theory of Acceptance and Use of Technology (UTAUT2) and the convenience of users – according to gender – to the idea of using Autonomous Delivery Vehicles (ADVs). A survey-based method was applied and presented. It was distributed online where a total of 450 participants had taken part to express their ideas. Structural Equation Modeling (SEM) was used to analyze the data and the results were discussed thoroughly. The model was conducted according to nine hypotheses. Results showed that all of them were supported except hypothesis 7, which is the trust in technology that negatively influenced the perceived risk leading to rejecting the hypothesis that supposes the validity of H7. It was concluded that the perceived risk and behavioral intention relationship were only significant for males while the perceived risk and trust in technology relationship were only significant for females.

Suggested Citation

  • AlKheder, Sharaf & Bash, Amina & Al Baghli, Zahra & Al Hubaini, Rahaf & Al Kader, Abedallah, 2023. "Customer perception and acceptance of autonomous delivery vehicles in the State of Kuwait during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523001701
    DOI: 10.1016/j.techfore.2023.122485
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    References listed on IDEAS

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    1. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2016. "How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 374-385.
    2. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    3. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
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    Cited by:

    1. Li, Ruimin & Han, Yuqian & Zhou, Huiyu, 2025. "What changes the autonomous vehicle acceptance after COVID-19? Evidence from China," Research in Transportation Economics, Elsevier, vol. 109(C).
    2. Zhao, Bozhi & Suo, Yining & Tang, Li & Li, Chenglong & Fu, Mengying & Huang, Longyang, 2024. "Urban air mobility for time-sensitive goods with explicit customer preferences: A case study on Chengdu," Journal of Air Transport Management, Elsevier, vol. 118(C).
    3. Waltermann, Juliana & Henkel, Sven, 2025. "The human element in autonomous driving: Motivations, expectations, and behavioral change," Technological Forecasting and Social Change, Elsevier, vol. 213(C).
    4. Jiang, Li & Yan, Jingyi & Xie, Yuguang & Dong, Junfeng, 2025. "Customers’ reuse intention to autonomous delivery vehicles in terminal delivery service: A valence theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
    5. Esmaili, Arsalan & Rejali, Sina & Aghabayk, Kayvan & Mohammadi, Amin & De Gruyter, Chris, 2025. "Autonomous delivery vehicle acceptance: The moderating role of perceived risk of theft," Transport Policy, Elsevier, vol. 162(C), pages 406-423.
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    7. Kalisz, David E., 2025. "Drivers of artificial intelligence integrated healthcare applications. Patients' perspective," Technological Forecasting and Social Change, Elsevier, vol. 216(C).

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