Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/114293
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Industrial and Systems Engineering | en_US |
| dc.contributor | Research Institute for Advanced Manufacturing | en_US |
| dc.contributor | Research Centre for Digital Transformation of Tourism | en_US |
| dc.creator | Harish, AR | en_US |
| dc.creator | Liu, X | en_US |
| dc.creator | Wang, X | en_US |
| dc.creator | Pan, S | en_US |
| dc.creator | Dai, HN | en_US |
| dc.creator | Li, M | en_US |
| dc.creator | Huang, GQ | en_US |
| dc.date.accessioned | 2025-07-23T00:46:04Z | - |
| dc.date.available | 2025-07-23T00:46:04Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/114293 | - |
| dc.language.iso | en | en_US |
| dc.subject | Blockchain | en_US |
| dc.subject | Decentralized ledger | en_US |
| dc.subject | Logistics 4.0 | en_US |
| dc.subject | Smart contract | en_US |
| dc.subject | Systematic Literature Review (SLR) | en_US |
| dc.title | Blockchain for logistics 4.0 : a systematic review and prospects | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 201 | en_US |
| dc.identifier.doi | 10.1016/j.tre.2025.104269 | en_US |
| dcterms.abstract | Logistics 4.0, with its supporting technologies, is gaining popularity with researchers and practitioners as a way to navigate the dynamic and demanding logistics environment. Blockchain technology is such a topical technology in logistics. The logistics industry benefits from blockchain as it enhances communication and collaboration among stakeholders through applications such as information sharing, goods monitoring and tracing, and executing financing and payments. However, the perceived lack of clarity on the adoption benefits has increased decision-maker's hesitation to adopt and utilize blockchain technology in the logistics industry. To fully understand blockchain applications in the context of logistics, this paper conducts a systematic literature review (SLR) on blockchain research in logistics. A selection of 113 articles undergoes review based on a two-axis framework. The first axis lists the core blockchain technologies, such as decentralized ledger, consensus mechanism, and smart contract. It comprehensively reviews their interplay with the foundational logistics requirements, such as agility, collaboration, and resilience. The second axis reviews domains such as e-commerce logistics, business logistics, green logistics, and logistics financing, which are key avenues for blockchain applications. The key themes arising from the review are a precursor to deriving avenues for future research. Finally, we present Web 4.0 in logistics, the new wave of generative artificial intelligence (AI)-empowered blockchain innovation that can shape future logistics. More specifically, we explore the role of modern AI agents in driving future research for seamless blockchain integration to logistics, enabling logistics ESG (Environmental, Social, and Governance) and organizational adoption. Besides addressing a gap in existing literature, the concepts discussed in this study allow for a comprehensive understanding of blockchain adoption in logistics, thus encouraging wider practical application of novel technology. From a theoretical lens, this study helps comprehend blockchain technology and its significance to logistics research. | en_US |
| dcterms.accessRights | embargoed access | en_US |
| dcterms.bibliographicCitation | Transportation research. Part E, Logistics and transportation review, Sept. 2025, v. 201, 104269 | en_US |
| dcterms.isPartOf | Transportation research. Part E, Logistics and transportation review | en_US |
| dcterms.issued | 2025-09 | - |
| dc.identifier.scopus | 2-s2.0-105008320228 | - |
| dc.identifier.artn | 104269 | en_US |
| dc.description.validate | 202507 bcwh | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.SubFormID | G000002/2025-07 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This paper is partially supported the Department General Research Fund of PolyU , China (No. P0050805 ), the Intra-Faculty Interdisciplinary Projects of PolyU , China (No. P0052206 ), the Research Institute for Advanced Manufacturing ( RIAM ) of PolyU , China (No. 1-CDJX ), the Innovation and Technology Fund ( PRP/038/24LI ), the RCDTT grant of PolyU , China (No. P0051281 ) and two grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU / 15208824 , T32-707/22-N ). | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.date.embargo | 2027-09-30 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
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