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Pandemic-driven acceptance of urban drone deliveries

Author

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  • Yuen, Kum Fai
  • Cai, Lanhui
  • Wee, Shaun Chuin Kit
  • Wang, Xueqin

Abstract

The objective of this study is to investigate the factors affecting the adoption of urban drone delivery as an infection prevention measure from a health-centric perspective. To this end, a theoretical model is developed, using the protection motivation theory as the backbone, with constructs from fear appeal theory and perceived value theory incorporated into the model. Subsequently, an online survey was administered to 450 participants living in Singapore. The results were analysed using structural equation modelling, revealing that perceived severity positively and significantly influences fear of COVID-19. The results also show that perceived vulnerability and fear of COVID-19, response efficacy and self-efficacy of drone deliveries positively and significantly impact perceived utility, while response cost has a significant negative impact on perceived utility. Both fear and perceived utility have a direct, positive and significant influence on the adoption intention of drone deliveries, with the overall most significant factor being fear of COVID-19. With these findings, this study has contributed to the understanding drone delivery adoption during pandemics. In this regard, the insights may assist logistics companies and transport policymakers in understanding concerns and motivations regarding drone deliveries.

Suggested Citation

  • Yuen, Kum Fai & Cai, Lanhui & Wee, Shaun Chuin Kit & Wang, Xueqin, 2024. "Pandemic-driven acceptance of urban drone deliveries," Transport Policy, Elsevier, vol. 146(C), pages 356-370.
    • Handle: RePEc:eee:trapol:v:146:y:2024:i:c:p:356-370
    DOI: 10.1016/j.tranpol.2023.12.007
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    References listed on IDEAS

    as
    1. Nicky Terblanche & Martin Kidd, 2022. "Adoption Factors and Moderating Effects of Age and Gender That Influence the Intention to Use a Non-Directive Reflective Coaching Chatbot," SAGE Open, , vol. 12(2), pages 21582440221, May.
    2. Utkarsh, & Gupta, Roopak Kumar, 2022. "Effects of confidence and social benefits on consumers’ extra-role and in-role behaviors: A social identity and social exchange perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    3. Marta Sajdakowska & Maria Królak & Witold Zychowicz & Marzena Jeżewska-Zychowicz, 2018. "Acceptance of Food Technologies, Perceived Values and Consumers’ Expectations towards Bread. A Survey among Polish Sample," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    4. Yuen, Kum Fai & Bin Saidi, Muhammad Syukri & Bai, Xiwen & Wang, Xueqin, 2021. "Cruise transport service usage post COVID-19: The health belief model application," Transport Policy, Elsevier, vol. 111(C), pages 185-196.
    5. Yaprak, Ümit & Kılıç, Fatih & Okumuş, Abdullah, 2021. "Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    6. Yuen, Kum Fai & Tan, Lydia Sonia & Wong, Yiik Diew & Wang, Xueqin, 2022. "Social determinants of panic buying behaviour amidst COVID-19 pandemic: The role of perceived scarcity and anticipated regret," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    7. Michael C Grant & Luke Geoghegan & Marc Arbyn & Zakaria Mohammed & Luke McGuinness & Emily L Clarke & Ryckie G Wade, 2020. "The prevalence of symptoms in 24,410 adults infected by the novel coronavirus (SARS-CoV-2; COVID-19): A systematic review and meta-analysis of 148 studies from 9 countries," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-19, June.
    8. Noor Islam Jasim & Hairoladenan Kasim & Moamin A. Mahmoud, 2022. "Towards the Development of Smart and Sustainable Transportation System for Foodservice Industry: Modelling Factors Influencing Customer’s Intention to Adopt Drone Food Delivery (DFD) Services," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    9. Cai, Lanhui & Yuen, Kum Fai & Xie, Diancen & Fang, Mingjie & Wang, Xueqin, 2021. "Consumer's usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology," Technology in Society, Elsevier, vol. 67(C).
    10. Hwang, Jinsoo & Kim, Jinkyung Jenny & Lee, Kwang-Woo, 2021. "Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    11. Yael Deutsch & Boaz Golany, 2018. "A parcel locker network as a solution to the logistics last mile problem," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 251-261, January.
    12. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    13. Osakwe, Christian Nedu & Hudik, Marek & Říha, David & Stros, Michael & Ramayah, T., 2022. "Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    14. Hui-Ting Huang & Yu-Ming Kuo & Shiang-Ru Wang & Chia-Fen Wang & Chung-Hung Tsai, 2016. "Structural Factors Affecting Health Examination Behavioral Intention," IJERPH, MDPI, vol. 13(4), pages 1-15, April.
    15. Antoni G. Wrobel & Donald J. Benton & Chloë Roustan & Annabel Borg & Saira Hussain & Stephen R. Martin & Peter B. Rosenthal & John J. Skehel & Steven J. Gamblin, 2022. "Evolution of the SARS-CoV-2 spike protein in the human host," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    16. Ou Li & Da Qian, 2022. "An analysis of the relationship between risk perceptions and willingness‐to‐pay for commodities during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 257-275, March.
    17. Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    18. Łukasz Sułkowski & Katarzyna Kolasińska-Morawska & Marta Brzozowska & Paweł Morawski & Tomasz Schroeder, 2022. "Last Mile Logistics Innovations in the Courier-Express-Parcel Sector Due to the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(13), pages 1-25, July.
    19. Chen, Shang-Yu, 2016. "Green helpfulness or fun? Influences of green perceived value on the green loyalty of users and non-users of public bikes," Transport Policy, Elsevier, vol. 47(C), pages 149-159.
    20. Lin Tan, Lynn Kai & Lim, Beng Chong & Park, Guihyun & Low, Kin Huat & Seng Yeo, Victor Chuan, 2021. "Public acceptance of drone applications in a highly urbanized environment," Technology in Society, Elsevier, vol. 64(C).
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