Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116432
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLeung, EKHen_US
dc.creatorWen, Xen_US
dc.date.accessioned2025-12-29T05:55:49Z-
dc.date.available2025-12-29T05:55:49Z-
dc.identifier.issn0018-9391en_US
dc.identifier.urihttp://hdl.handle.net/10397/116432-
dc.description,en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication E. K. H. Leung and X. Wen, 'A Bane or Boon of Technologies: Risks and Benefits of Drone Delivery on Last-Mile Operations,' in IEEE Transactions on Engineering Management, vol. 72, pp. 2892-2912, 2025 is available at https://doi.org/10.1109/TEM.2025.3584730.en_US
dc.subjectCocitation analysisen_US
dc.subjectLast-mile operationsen_US
dc.subjectLiterature reviewen_US
dc.subjectRisk analysisen_US
dc.subjectSocietal and environmental impactsen_US
dc.subjectUnmanned aerial vehicles (UAVs)en_US
dc.titleA bane or boon of technologies : risks and benefits of drone delivery on last-mile operationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2892en_US
dc.identifier.epage2912en_US
dc.identifier.volume72en_US
dc.identifier.doi10.1109/TEM.2025.3584730en_US
dcterms.abstractDrones for logistics operations have emerged as a popular topic in logistics, offering numerous benefits and risks to the society and environment. While drones can have a significant impact on the surroundings, the environment and external factors can also influence drone delivery operations, resulting in a complex interplay. This article combines a comprehensive literature review and cocitation analysis, supplemented by practices, to explore the two-way interaction between drones and the environment. The benefits and risks of this interaction are also examined. A trend analysis is further conducted to generate insights regarding the stages of development in the literature. Combining findings from the reviewed literature and practices, we propose the novel 3R framework to guide future drone delivery adoption in practical operations. This framework highlights the importance of investigating drone delivery models and their respective risks that should be mitigated. Finally, a future research agenda is proposed to inspire further explorations in this rapidly evolving field of last-mile operations.en_US
dcterms.abstractManagerial Relevance Statement—In the recent decade, the fast development of drone technology has reshaped the last-mile delivery operations due to its superior reachability and sustainability. Several giant companies have successfully integrated the drone technology into their last-mile operations, like Amazon and UPS, in a variety of industries. Our study has identified the benefits of drone last-mile deliveries, including pollution control (less carbon emissions), societal and psychological impacts (as consumers trust that companies using drones are acting sustainably), and economic development (as drones can promote economic democratization and improve accessibility to essential products or services in rural and underdeveloped areas). These findings can assist in the decision making for engineering managers who plan to introduce this new technology in their business modes, by figuring out whether this new technology suits their organizational goals. Despite the merits and increasing popularity, drones face a list of operations challenges that may hinder their efficient applications in the real world and dampen their practical values. By exploring the interplay between drones and the last-mile logistics environment, we also identify the potential risks for the drone application in last-mile deliveries, such as regulatory restrictions, adverse weather conditions, service agility, disruption to the labor market, inherent limitations (like payload, flight range, battery capacity), and social trust building (safety and privacy concerns of the public), which should be carefully evaluated and considered by companies that aim to introduce this new technology. By further analyzing the four main drone last-mile operational models based on the real practice of four world-leading companies (Amazon, FedEx, UPS, and Walmart), we provide important insights into the practical challenges and opportunities of drone delivery implementation, which can be referenced by other small or medium sized companies in both developed and developing economies. Based on our findings derived from both the literature review and practice analysis, we further propose a 3R framework to offer important managerial and practical insights for decision makers to compare their needs with the impacts associated with each drone operational model, identify the best alignment, and prioritize specific impacts. It is believed that by following the three steps (i.e., reveal, reduce, and reward) as instructed by the 3R framework, engineering managers in the last-mile logistics industry can improve their decision making in the transformation from traditional operations into the drone-facilitated next-generation operations.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on engineering management, 2025, v. 72, p. 2892-2912en_US
dcterms.isPartOfIEEE transactions on engineering managementen_US
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105010089498-
dc.identifier.eissn1558-0040en_US
dc.description.validate202512 bcjzen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG000577/2025-12-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by the National Natural Science Foundation of China under Grant 72202196, in part by the Soft Science Research Project of Guangdong Province under Project 2024A1010060001, and in part by the Research Committee of The Hong Kong Polytechnic University under Project code 1-BE9K (P0045887).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Leung_Bane_Boon_Technologies.pdfPre-Published version1.55 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.