CRUNCHING PROFITS AND CODE: THE AI-ENHANCED PATH TO SME INVESTABILITY

Authors

  • Shaashita Ramarau
  • Nur Farrahanie Ahmad Tarmizi

DOI:

https://doi.org/10.33736/uraf.11708.2025

Keywords:

SME, AI, Firm Performance

Abstract

Small and Medium Enterprises (SMEs) are the backbone country's economic development. However, a gap exists in the market for these firms to obtain investments due to a lack of adequate framework to assess the risk profile of these firms adding to the investor sentiment towards these SMEs’. Despite that, traditional methods such as financial indicators have often been used to evaluate firm performance and aiding in investors investment decisions. However, the adoption of AI model such as logistic regression further enhances the risk assessment process

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Published

2025-12-10

How to Cite

Ramarau , S. ., & Ahmad Tarmizi, N. F. (2025). CRUNCHING PROFITS AND CODE: THE AI-ENHANCED PATH TO SME INVESTABILITY. UNIMAS Review of Accounting and Finance, 9(1), 270–281. https://doi.org/10.33736/uraf.11708.2025

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Section

Articles