University of Sussex
Browse
s10479-023-05307-4.pdf (1.35 MB)

Use of delivery drones for humanitarian operations: analysis of adoption barriers among logistics service providers from the Technology Acceptance Model perspective

Download (1.35 MB)
journal contribution
posted on 2023-06-10, 06:33 authored by David Edwards, Nachiappan SubramanianNachiappan Subramanian, Atanu Chaudhuri, Piera Morlacchi, Wen Zeng
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. Keywords Humanitarian logistics

History

Publication status

  • Published

File Version

  • Published version

Journal

Annals of Operations Research

ISSN

0254-5330

Publisher

Springer Nature

Page range

1-23

Department affiliated with

  • SPRU - Science Policy Research Unit Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2023-03-21

First Open Access (FOA) Date

2023-05-04

First Compliant Deposit (FCD) Date

2023-03-21

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC