The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Drone delivery: Factors affecting the public’s attitude and intention to adopt
Abstract
Abstract Drones, or unmanned aerial vehicles (UAVs), show high potential for parcel delivery. Drone delivery may be faster, less expensive, and more eco-friendly than traditional delivery modes such as trucks. Drones are not yet in commercial use, but many companies such as Amazon and Google have done pilot tests, and they will probably become common in the near future. Regardless of what companies decide, however, adoption intention among customers is vague. This study explores the factors affecting attitudes to drone delivery service and intention to adopt among 296 U.S. consumers by online survey. The results demonstrate that the relative advantages of speed and environmental friendliness, along with complexity, performance risk, and privacy risk, affect drone delivery adoption. Personal innovativeness also positively affects adoption intention. Furthermore, the results show that the determinants of drone delivery adoption differ according to the customer’s area of residence.
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Cited by
Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review
Mohsan, S. A. H., Khan, M. A., Noor, F., Ullah, I., & Alsharif, M. H. (2022) · Drones · doi:10.3390/drones6060147 · Cited by 916
Drone-aided routing: A literature review
Macrina, G., Di Puglia Pugliese, L., Guerriero, F., & Laporte, G. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.102762 · Cited by 522
Chung, S. H., Sah, B., & Lee, J. (2020) · Computers & Operations Research · doi:10.1016/j.cor.2020.105004 · Cited by 441
Drones for parcel and passenger transportation: A literature review
Kellermann, R., Biehle, T., & Fischer, L. (2020) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2019.100088 · Cited by 319
The critical factors shaping customer shopping experiences with innovative technologies
Ylilehto, M., Komulainen, H., & Ulkuniemi, P. (2021) · Baltic Journal of Management · doi:10.1108/bjm-02-2021-0049 · Cited by 62
Metadata
- Authors
- Yoo, W., Yu, E., & Jung, J.
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 35
- Issue
- 6
- Pages
- 1687-1700
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W2801247784
- Cited by
- 337
- References
- 10
- FWCI
- 23.23
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
