Scientific journal paper Q1
A systematic literature review on Web3 applications in trucking logistics: Impacts and emerging trends in logistics 5.0
Daniel Čale (Čale, D.); Joao C Ferreira or Joao Ferreira (Ferreira, J. C.); Ana Madureira (Madureira, A.); Carlos Coutinho (Coutinho, C.);
Journal Title
Digital Business
Year (definitive publication)
2026
Language
English
Country
Netherlands
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Abstract
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.
Acknowledgements
This work was supported by the Ph.D. Scholarship under Fundação para a Ciência e a Tecnologia, IP (FCT) through Information Sciences and Technologies and Architecture Research Center (ISTAR) Project under Grant UIDB/04466/2020 and Grant UIDP/04466/2020.
Keywords
AI,Blockchain,Industry 5.0,Metaverse,Trucking logistics,Web3
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia
UIDP/04466/2020 Fundação para a Ciência e a Tecnologia
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