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Research trends in supply chain finance and future agenda: a systematic literature review and bibliometric analysis

P.S. Biswa Bhusan Sahoo & Vikas Thakur

International Journal of Revenue Management2025https://doi.org/10.1504/ijrm.2025.149703article
ABDC C
Weight
0.50

What the paper says

Supply chain finance (SCF) is still new to organisations, especially in developing nations. Practitioners and researchers have not fully explored SCF's short-term financial potential. Hence, to know the significance and trends of research in SCF, the present study attempts a systematic literature review published in some of the reputed international journals and provides a future research agenda. The study adopts a structured approach to collect the widespread literature. The present study reviews 216 papers from 19 reputed international journals from January 2015 to January 2024. The literature collected has been analysed using both qualitative and quantitative techniques. The content analysis of the most researched themes highlights that SCF helps firms streamline their financial flow and boosts their overall profitability, and a shortage of finance is the prime reason firms are shutting down their business. The study offers a comprehensive understanding of SCF concepts and advantages for supply chain participants.

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https://doi.org/https://doi.org/10.1504/ijrm.2025.149703

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@article{p.s.2025,
  title        = {{Research trends in supply chain finance and future agenda: a systematic literature review and bibliometric analysis}},
  author       = {P.S. Biswa Bhusan Sahoo & Vikas Thakur},
  journal      = {International Journal of Revenue Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijrm.2025.149703},
}

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Research trends in supply chain finance and future agenda: a systematic literature review and bibliometric analysis

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.