Abstract
Supply Chain Finance (SCF) is evolving rapidly, driven by innovative technological solutions that enhance transparency and flexibility while seamlessly integrating capital and logistics flows within the financial service sector. This paper aims to advance SCF research by applying the TF-IDF technique and exploring various SCF dimensions in relation to SCF solution implementation.Drawing from a comprehensive review of over 250 academic databases, this study showcases the importance of Frequency-Inverse Document Frequency (TF-IDF) in information retrieval through text mining. Emphasizing the SCF mechanism and technological innovation as pivotal factors, we analyse keyword frequencies and assess term relevance within this document collection, focusing on the financial liquidity and feasibility of SCF.Our findings provide valuable insights into capital gain, sustainability, and feasible replenishments within SCF. In conclusion, this paper identifies potential research avenues based on the current framework and data analysis, offering a roadmap for future exploration in this dynamic field
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