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Mapping industrial systems - a supply network perspective on enabling technologies, processes and actors

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  • Jagjit Singh Srai

Abstract

This paper develops a multi-layered multi-stage mapping approach to explore the characteristics of emerging industry supply networks (EI SNs), and how enabling production technologies and supply chain processes are supported by institutional, industrial and supply network actors. The mapping methodology involves the systematic capture of material transformations, enabling product and process technologies, and the actors, both institutional and industrial that might facilitate industrial development. A key research challenge was to extend traditional methods of SN mapping and value chain analysis that typically adopt a narrow focal firm perspective of a firm's supply network, to also include key institutional, and other industrial system actors that form part of the wider industrial ecosystem. An industrial ecosystem mapping methodology was therefore developed that integrates and extends value chain analysis with SN configuration mapping, applied to a broader industrial systems context. The methodology is demonstrated in selected EI sectors to demonstrate the utility of the approach.

Suggested Citation

  • Jagjit Singh Srai, 2017. "Mapping industrial systems - a supply network perspective on enabling technologies, processes and actors," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 31(1/2/3), pages 82-99.
  • Handle: RePEc:ids:ijmtma:v:31:y:2017:i:1/2/3:p:82-99
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    Citations

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    Cited by:

    1. Naoum Tsolakis & Jagjit Singh Srai, 2018. "Mapping supply dynamics in renewable feedstock enabled industries: A systems theory perspective on ‘green’ pharmaceuticals," Operations Management Research, Springer, vol. 11(3), pages 83-104, December.
    2. Nathalie Fabbe-Costes & Lucie Lechaptois & Martin Spring, 2020. "“The map is not the territory”: a boundary objects perspective on supply chain mapping," Post-Print hal-02959860, HAL.
    3. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.

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