Mapping the Supply Chain with Disruptive Technologies: Parts and Overview

Nachiappan Subramanian (), Yasanur Kayikci, Atanu Chaudhuri and Michael Bourlakis ()
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Nachiappan Subramanian: University of Sussex Business School
Yasanur Kayikci: Sheffield Hallam University
Atanu Chaudhuri: Durham University Business School
Michael Bourlakis: Cranfield University

Chapter Chapter 1 in The Palgrave Handbook of Supply Chain and Disruptive Technologies, 2025, pp 1-21 from Springer

Abstract: Abstract Emerging and disruptive technologies are revolutionizing supply chains, driving radical growth and operational excellence. Developing robust digital capabilities is crucial to harness the potential of technologies like blockchain, big data analytics, cloud computing, AI, drones, autonomous vehicles, and 5G. These technologies transform key supply chain functions, enhancing value creation and efficiency. Smart supply chain functions include sensing, integration, intelligent analysis, optimization decisions, timely feedback, and automated error correction. These enable dynamic adaptation to evolving scenarios and disruptions. However, open questions remain, such as identifying key barriers, enablers, and capabilities for digitalization, determining the most valuable stages of digitalization, and implementing effective operating models (Björkhdahl et al., 2020). Addressing these is crucial for building resilient, future-ready supply chains. This handbook explores six core themes with 29 chapters: (I) Supply Chain digitalization: key barriers, enablers, and capabilities. (II) Technological effort vs value in digital supply chains. (III) Transformational model and process in digital supply chains. (IV) Digital design capabilities for various technologies in digital supply chains. (V) Digital manufacturing capabilities for emerging technologies in digital supply chains, and (VI) Digital delivery and use capabilities for emerging technologies in digital supply chains.

Keywords: Digitisation; Disruptive technologies; Supply chain; Themes (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-90210-9_1

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