Fifth-Party Logistics (5PL): Mastering Digital Supply Chain Ecosystems
Scott McDonald () and
Minh Duong Kim Ngo ()
Additional contact information
Scott McDonald: RMIT University
Minh Duong Kim Ngo: RMIT University
Chapter Chapter 13 in Level Up Your Logistics, 2025, pp 509-546 from Springer
Abstract:
Abstract This chapter explores the evolution of Fifth-Party Logistics (5PL), representing the most advanced tier in logistics service provision. Unlike 4PL providers, who orchestrate supply chains through direct intervention, 5PL providers create digital ecosystems that enable autonomous, self-optimizing supply chain networks. The chapter presents comprehensive frameworks illustrating the journey from current capabilities to fully realized 5PL operations across four dimensions: technology integration, decision autonomy, ecosystem scope, and intelligence evolution. The architectural foundation of 5PL operations—a sophisticated digital platform enabling real-time collaboration and autonomous decision-making—is examined in detail alongside necessary talent requirements. Through the case study of Gledhill Global Logistics’ transformation, the chapter demonstrates how organizations can navigate key implementation challenges and measure success. The discussion extends to emerging business models and monetization strategies unique to platform-based logistics ecosystems. Finally, the chapter looks toward future developments in 6PL, where cognitive supply chains and complete supply chain autonomy represent the next frontier in logistics service provision.
Keywords: Digital ecosystem; Autonomous operations; Supply chain optimization; Platform business models; Logistics technology (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-0533-3_13
Ordering information: This item can be ordered from
http://www.springer.com/9789819505333
DOI: 10.1007/978-981-95-0533-3_13
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().