IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5621-d1426394.html
   My bibliography  Save this article

Consumer Acceptance of Drones for Last-Mile Delivery in Jeddah, Saudi Arabia

Author

Listed:
  • Ghada Talat Alhothali

    (Department of Marketing, College of Business, University of Jeddah; Building 17, Level 4, Room 4136, Jeddah 23445, Saudi Arabia)

  • Felix T. Mavondo

    (Marketing Department, Monash Business School, Monash University, Clayton, VIC 3800, Australia)

  • Bader A. Alyoubi

    (Management Information Systems Department, College of Business, University of Jeddah, Jeddah 23218, Saudi Arabia)

  • Haneen Algethami

    (Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia)

Abstract

The number of industries using drones is increasing. Although early research was conducted on drones, the prior literature has not emphasized consumer adoption of drones for item delivery. Consequently, this study investigates whether customers are open to receiving packages from drones. This study also examines the elements that influence customers’ willingness to adopt drone package delivery. This study fills a gap in the logistics and service research by examining people’s concerns regarding using drones. The unified theory of acceptance and use of technology (UTAUT2) serves as the basis for the conceptual framework. A self-administered online survey is deployed. The results demonstrate that perceived privacy risks negatively influence performance and effort expectancy as well as facilitating conditions and social influence. This study further validates the UTAUT2 by confirming the influence of performance expectancy and facilitating conditions on attitudes toward adopting drones. Moreover, this study confirms the positive influence of attitude on behavior. This study has managerial implications, one of which is the suggestion that the deployment and use of drones should minimize interference with people’s privacy.

Suggested Citation

  • Ghada Talat Alhothali & Felix T. Mavondo & Bader A. Alyoubi & Haneen Algethami, 2024. "Consumer Acceptance of Drones for Last-Mile Delivery in Jeddah, Saudi Arabia," Sustainability, MDPI, vol. 16(13), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5621-:d:1426394
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5621/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/13/5621/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dario Floreano & Robert J. Wood, 2015. "Science, technology and the future of small autonomous drones," Nature, Nature, vol. 521(7553), pages 460-466, May.
    2. Haneen Algethami & Ghada Talat Alhothali, 2023. "Waste Collection Optimisation: A Path to a Green and Sustainable City of Makkah," Logistics, MDPI, vol. 7(3), pages 1-10, August.
    3. Ghada Talat Alhothali & Noha M. Almoraie & Israa M. Shatwan & Najlaa M. Aljefree, 2021. "Sociodemographic Characteristics and Dietary Choices as Determinants of Climate Change Understanding and Concern in Saudi Arabia," IJERPH, MDPI, vol. 18(20), pages 1-14, October.
    4. Reece A. Clothier & Dominique A. Greer & Duncan G. Greer & Amisha M. Mehta, 2015. "Risk Perception and the Public Acceptance of Drones," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1167-1183, June.
    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. Wang, Ning & Mutzner, Nico & Blanchet, Karl, 2023. "Societal acceptance of urban drones: A scoping literature review," Technology in Society, Elsevier, vol. 75(C).
    2. Qian Li & Ting Tan & Benlong Wang & Zhimiao Yan, 2024. "Avian-inspired embodied perception in biohybrid flapping-wing robotics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Ilona Kulikovskikh & Sergej Prokhorov & Tomislav Lipić & Tarzan Legović & Tomislav Šmuc, 2019. "BioGD: Bio-inspired robust gradient descent," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-19, July.
    4. Stöcker, Claudia & Bennett, Rohan & Koeva, Mila & Nex, Francesco & Zevenbergen, Jaap, 2022. "Scaling up UAVs for land administration: Towards the plateau of productivity," Land Use Policy, Elsevier, vol. 114(C).
    5. Zenan Shen & Shaoquan Liu & Wei Zhu & Daoyuan Ren & Qiang Xu & Yu Feng, 2024. "A Review on Key Technologies and Developments of Hydrogen Fuel Cell Multi-Rotor Drones," Energies, MDPI, vol. 17(16), pages 1-36, August.
    6. 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).
    7. Lee, Changju & Bae, Bumjoon & Lee, Yu Lim & Pak, Tae-Young, 2023. "Societal acceptance of urban air mobility based on the technology adoption framework," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Peng Liu & Run Yang & Zhigang Xu, 2019. "How Safe Is Safe Enough for Self‐Driving Vehicles?," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 315-325, February.
    9. Kloster, Konstantin & Moeini, Mahdi & Vigo, Daniele & Wendt, Oliver, 2023. "The multiple traveling salesman problem in presence of drone- and robot-supported packet stations," European Journal of Operational Research, Elsevier, vol. 305(2), pages 630-643.
    10. Javier Alberto Pérez-Castán & Fernando Gómez Comendador & Ana Belén Cardenas-Soria & Dominik Janisch & Rosa M. Arnaldo Valdés, 2020. "Identification, Categorisation and Gaps of Safety Indicators for U-Space," Energies, MDPI, vol. 13(3), pages 1-17, January.
    11. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).
    12. Anania, Emily C. & Rice, Stephen & Pierce, Matthew & Winter, Scott R. & Capps, John & Walters, Nathan W. & Milner, Mattie N., 2019. "Public support for police drone missions depends on political affiliation and neighborhood demographics," Technology in Society, Elsevier, vol. 57(C), pages 95-103.
    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. Mahmut Bakır & Nadine Itani, 2024. "Modelling Behavioural Factors Affecting Consumers’ Intention to Adopt Electric Aircraft: A Multi-Method Investigation," Sustainability, MDPI, vol. 16(19), pages 1-29, September.
    15. Liu, Peng & Zhang, Yawen & He, Zhen, 2019. "The effect of population age on the acceptable safety of self-driving vehicles," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 341-347.
    16. Matthew Ayamga & Bedir Tekinerdogan & Ayalew Kassahun, 2021. "Exploring the Challenges Posed by Regulations for the Use of Drones in Agriculture in the African Context," Land, MDPI, vol. 10(2), pages 1-13, February.
    17. Thurner, Thomas & Fursov, Konstantin & Nefedova, Alena, 2022. "Early adopters of new transportation technologies: Attitudes of Russia’s population towards car sharing, the electric car and autonomous driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 403-417.
    18. Del-Real, Cristina & Díaz-Fernández, Antonio M., 2021. "Lifeguards in the sky: Examining the public acceptance of beach-rescue drones," Technology in Society, Elsevier, vol. 64(C).
    19. Chikaraishi, Makoto & Khan, Diana & Yasuda, Banri & Fujiwara, Akimasa, 2020. "Risk perception and social acceptability of autonomous vehicles: A case study in Hiroshima, Japan," Transport Policy, Elsevier, vol. 98(C), pages 105-115.
    20. Zhu, Xun & Pasch, Timothy J. & Bergstrom, Aaron, 2020. "Understanding the structure of risk belief systems concerning drone delivery: A network analysis," Technology in Society, Elsevier, vol. 62(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:gam:jsusta:v:16:y:2024:i:13:p:5621-:d:1426394. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.