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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Čale, D., Ferreira, J. C., Madureira, A. & Coutinho, C. (2026). A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0. Digital Business. 6 (2)
Exportar Referência (IEEE) 
D. D. Calé et al.,  "A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0", in Digital Business, vol. 6, no. 2, 2026
Exportar BibTeX 
@article{calé2026_1778064482755,
	author = "Čale, D. and Ferreira, J. C. and Madureira, A. and Coutinho, C.",
	title = "A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0",
	journal = "Digital Business",
	year = "2026",
	volume = "6",
	number = "2",
	doi = "10.1016/j.digbus.2026.100170",
	url = "https://www.sciencedirect.com/journal/digital-business"
}
Exportar RIS 
TY  - JOUR
TI  - A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0
T2  - Digital Business
VL  - 6
IS  - 2
AU  - Čale, D.
AU  - Ferreira, J. C.
AU  - Madureira, A.
AU  - Coutinho, C.
PY  - 2026
SN  - 2666-9544
DO  - 10.1016/j.digbus.2026.100170
UR  - https://www.sciencedirect.com/journal/digital-business
AB  - Web3 technologies, representing the next generation of a decentralised and user-centric Internet, offer innovative solutions to enhance adaptability, sustainability, and resilience in logistics systems aligned with the principles of Logistics 5.0. This study conducts a Systematic Literature Review (SLR) following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, analysing peer-reviewed journal articles published between 2018 and 2024 and retrieved from Scopus, Web of Science Core Collection, IEEE Xplore, and ACM Digital Library. The review specifically focuses on trucking logistics, a sector characterised by high fossil-fuel dependency, operational fragmentation, and significant environmental impact. The findings reveal that Artificial Intelligence and Internet of Things technologies dominate current implementations, mainly supporting fleet management, route optimisation, accident prevention, and risk assessment. In contrast, blockchain applications remain limited, and metaverse-based solutions are largely exploratory and confined to training scenarios. Key research gaps include the scarcity of integrated Web3 solutions, the limited consideration of human-centric Logistics 5.0 dimensions, and the lack of large-scale empirical validation in real-world trucking operations. Based on the analysis, this paper proposes a conceptual framework that maps Web3 technologies to trucking logistics areas, investment priorities, and Logistics 5.0 objectives, offering actionable guidance for Logistics Service Providers transitioning from Logistics 4.0 to Logistics 5.0.
ER  -