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Use of delivery drones for humanitarian operations: analysis of adoption barriers among logistics service providers from the technology acceptance model perspective

Author

Listed:
  • David Edwards

    (University of Sussex
    University of Nottingham Ningbo)

  • Nachiappan Subramanian

    (University of Sussex
    University of Sussex)

  • Atanu Chaudhuri

    (University of Sussex
    Durham University)

  • Piera Morlacchi

    (University of Sussex
    University of Sussex)

  • Wen Zeng

    (University of Sussex
    Zheshang Development Group Co. Ltd.)

Abstract

Delivery drones are yet to be adopted as a systematic delivery system for humanitarian operations but have the potential to substantially increase the efficiency and effectiveness of future delivery options. Thus, we analyse the impact of factors affecting the adoption of delivery drones by logistics service providers for humanitarian operations. A conceptual model of potential barriers to adoption and development is created using the Technology Acceptance Model theory involving security, perceived usefulness, perceived ease of use and attitude as factors that affect the intention to use. We validate the model using empirical data collected from 103 respondents by the 10 leading logistics firms located in China between May and August 2016. through a survey to examine factors currently affecting the intention/non-intention to adopt delivery drones. The results show that ease of use and addressing key security considerations about the drone, the delivery package and the recipient are crucial for adopting the technology as a specialized delivery option for logistics service providers. This is the first study of its kind and contributes to understanding the operational, supply chain and behavioural factors in the adoption of drones by logistics services providers for humanitarian operations.

Suggested Citation

  • David Edwards & Nachiappan Subramanian & Atanu Chaudhuri & Piera Morlacchi & Wen Zeng, 2024. "Use of delivery drones for humanitarian operations: analysis of adoption barriers among logistics service providers from the technology acceptance model perspective," Annals of Operations Research, Springer, vol. 335(3), pages 1645-1667, April.
    • Handle: RePEc:spr:annopr:v:335:y:2024:i:3:d:10.1007_s10479-023-05307-4
    DOI: 10.1007/s10479-023-05307-4
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    References listed on IDEAS

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    1. Anol Bhattacherjee & Chieh-Peng Lin, 2015. "A unified model of IT continuance: three complementary perspectives and crossover effects," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(4), pages 364-373, July.
    2. Angappa Gunasekaran & Rameshwar Dubey & Samuel Fosso Wamba & Thanos Papadopoulos & Benjamin T. Hazen & Eric W.T. Ngai, 2018. "Bridging humanitarian operations management and organisational theory," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6735-6740, November.
    3. Hyun Byun & Weisheng Chiu & Jung-sup Bae, 2018. "Exploring the Adoption of Sports Brand Apps: An Application of the Modified Technology Acceptance Model," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 9(1), pages 52-65, January.
    4. 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.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    7. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
    8. Kunovjanek, Maximilian & Wankmüller, Christian, 2021. "Containing the COVID-19 pandemic with drones - Feasibility of a drone enabled back-up transport system," Transport Policy, Elsevier, vol. 106(C), pages 141-152.
    9. Farahani, Reza Zanjirani & Lotfi, M.M. & Baghaian, Atefe & Ruiz, Rubén & Rezapour, Shabnam, 2020. "Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations," European Journal of Operational Research, Elsevier, vol. 287(3), pages 787-819.
    10. Martin K. Starr & Luk N. Van Wassenhove, 2014. "Introduction to the Special Issue on Humanitarian Operations and Crisis Management," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 925-937, June.
    11. Rao, Bharat & Gopi, Ashwin Goutham & Maione, Romana, 2016. "The societal impact of commercial drones," Technology in Society, Elsevier, vol. 45(C), pages 83-90.
    12. Katerina Pramatari & Aristeidis Theotokis, 2009. "Consumer acceptance of RFID-enabled services: a model of multiple attitudes, perceived system characteristics and individual traits," European Journal of Information Systems, Taylor & Francis Journals, vol. 18(6), pages 541-552, December.
    13. Chowdhury, Sudipta & Emelogu, Adindu & Marufuzzaman, Mohammad & Nurre, Sarah G. & Bian, Linkan, 2017. "Drones for disaster response and relief operations: A continuous approximation model," International Journal of Production Economics, Elsevier, vol. 188(C), pages 167-184.
    14. Rese, Alexandra & Schreiber, Stefanie & Baier, Daniel, 2014. "Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews?," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 869-876.
    15. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
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