IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v146y2024icp356-370.html
   My bibliography  Save this article

Pandemic-driven acceptance of urban drone deliveries

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X23003359
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.12.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(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. Sham, Rohana & Chong, Han Xi & Cheng-Xi Aw, Eugene & Bibi Tkm Thangal, Thahira & Abdamia, Noranita binti, 2023. "Switching up the delivery game: Understanding switching intention to retail drone delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Wang, Ning & Mutzner, Nico & Blanchet, Karl, 2023. "Societal acceptance of urban drones: A scoping literature review," Technology in Society, Elsevier, vol. 75(C).
    5. Koh, Le Yi & Lee, Jia Yi & Wang, Xueqin & Yuen, Kum Fai, 2023. "Urban drone adoption: Addressing technological, privacy and task–technology fit concerns," Technology in Society, Elsevier, vol. 72(C).
    6. Yuen, Kum Fai & Chua, Jie Ying & Li, Xue & Wang, Xueqin, 2023. "The determinants of users’ intention to adopt telehealth: Health belief, perceived value and self-determination perspectives," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Sabino, Hullysses & Almeida, Rodrigo V.S. & Moraes, Lucas Baptista de & Silva, Walber Paschoal da & Guerra, Raphael & Malcher, Carlos & Passos, Diego & Passos, Fernanda G.O., 2022. "A systematic literature review on the main factors for public acceptance of drones," Technology in Society, Elsevier, vol. 71(C).
    8. Wang, Xueqin & Wong, Yiik Diew & Sun, Shanshan & Yuen, Kum Fai, 2022. "An investigation of self-service technology usage during the COVID-19 pandemic: The changing perceptions of ‘self’ and technologies," Technology in Society, Elsevier, vol. 70(C).
    9. Liu, Yanfeng & Cai, Lanhui & Ma, Fei & Wang, Xueqin, 2023. "Revenge buying after the lockdown: Based on the SOR framework and TPB model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Massimo Di Gangi & Antonio Polimeni & Orlando Marco Belcore, 2023. "Freight Distribution in Small Islands: Integration between Naval Services and Parcel Lockers," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    11. Frederiksen, Marianne Harbo & Wolf, Patricia & Klotz, Ute, 2024. "Citizen visions of drone uses and impacts in 2057: Far-future insights for policy decision-makers," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    12. Lin, Yun Hui & Wang, Yuan & He, Dongdong & Lee, Loo Hay, 2020. "Last-mile delivery: Optimal locker location under multinomial logit choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    13. Buldeo Rai, Heleen & Verlinde, Sara & Macharis, Cathy, 2021. "Unlocking the failed delivery problem? Opportunities and challenges for smart locks from a consumer perspective," Research in Transportation Economics, Elsevier, vol. 87(C).
    14. Wang, Xueqin & Wong, Yiik Diew & Liu, Feng & Yuen, Kum Fai, 2023. "Consumers' paradoxical motives of co-creation: From self-service technology to crowd-sourcing platform," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    15. Jiang, Yi & Lai, Po-Lin & Yang, Ching-Chiao & Wang, Xinchen, 2023. "Exploring the factors that drive consumers to use contactless delivery services in the context of the continued COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    16. Wang, Xueqin & Wong, Yiik Diew & Chen, Tianyi & Yuen, Kum Fai, 2022. "An investigation of technology-dependent shopping in the pandemic era: Integrating response efficacy and identity expressiveness into theory of planned behaviour," Journal of Business Research, Elsevier, vol. 142(C), pages 1053-1067.
    17. Björn Asdecker, 2021. "Building the E-Commerce Supply Chain of the Future: What Influences Consumer Acceptance of Alternative Places of Delivery on the Last-Mile," Logistics, MDPI, vol. 5(4), pages 1-17, December.
    18. Gabriele Iannaccone & Edoardo Marcucci & Valerio Gatta, 2021. "What Young E-Consumers Want? Forecasting Parcel Lockers Choice in Rome," Logistics, MDPI, vol. 5(3), pages 1-16, August.
    19. Yuen, Kum Fai & Koh, Le Yi & Tan, Luan Yi Hazel & Wang, Xueqin, 2023. "The determinants of virtual reality adoption for marine conservation," Technology in Society, Elsevier, vol. 72(C).
    20. Yang, Hye-jeong & Fang, Mingjie & Yao, Jinge & Su, Miao, 2023. "Green cooperation in last-mile logistics and consumer loyalty: An empirical analysis of a theoretical framework," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:146:y:2024:i:c:p:356-370. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.