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Addressing the relation between transparency and supply chain finance schemes

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  • Luca Mattia Gelsomino
  • Saskia Sardesai
  • Miia Pirttilä
  • Michael Henke

Abstract

In the wake of technological innovation, supply chain transparency has become a concrete avenue for long-awaited improvements to supply chain processes and practices. Transparency is of particular interest to Supply Chain Finance; however, it is yet empirically unknown whether and how benefits would materialise. Being at the interface of finance and operations, Supply Chain Finance aims at improving the inter-company management of financial flows. Nowadays, different financing schemes are offered foremost by cooperation between financial institutions and fintechs. Uncertainty remains on whether and how supply chain transparency would benefit these schemes to allow the adoption of more sophisticated, higher-value schemes. By applying the Gioia method, we analysed a series of interviews with experts from the Supply Chain Finance industry regarding transaction cost economics, agency theory, and dynamic capability. The resulting series of pragmatic, theory-grounded but practice-inspired propositions untangle the relationship and barriers between supply chain transparency and Supply Chain Finance. The propositions provide advances in the theoretical understanding of Supply Chain Finance and uncover relevant directions for future research. This poses the base for actionable results in future research and leads to an impact in research by addressing the concerns and tensions raised by Supply Chain Finance experts.

Suggested Citation

  • Luca Mattia Gelsomino & Saskia Sardesai & Miia Pirttilä & Michael Henke, 2023. "Addressing the relation between transparency and supply chain finance schemes," International Journal of Production Research, Taylor & Francis Journals, vol. 61(17), pages 5806-5821, September.
  • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:17:p:5806-5821
    DOI: 10.1080/00207543.2022.2115575
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    Cited by:

    1. Shujian Ma & Jilong Cai & Gang Wang & Xiangxiang Ge & Ying Teng & Hua Jiang, 2024. "Research on Decision Analysis with CVaR for Supply Chain Finance Based on Blockchain Technology," Mathematics, MDPI, vol. 12(3), pages 1-25, January.

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