Application of Artificial Intelligence in Capital Structure for Micro, Small and Medium Enterprises - A Study with Special Reference to Pimpri Chinchwad Municipal Corporation Area
DOI:
https://doi.org/10.69968/ijisem.2025v3si2444-449Keywords:
Artificial Intelligence, Capital Structure, Financial Decision-Making, Leverage Schedules, Al Adoption, MSMESAbstract
This paper aims to study the potential bearing of artificial intelligence (AI) on capital structure depending upon historical data only by focusing on MSMEs operating in Pimpri Chinchwad Municipal Organisation (PCMC). This study aims to determine the impact of artificial intelligence (AI) on financial decision-making-based components of MSMEs finance by studying their composition-related ratios, leverage schedules, and AI adoption. The review will account for these point sources, such as government publications and industry databases, with robust estimates. Statistical analyses are employed—mainly through different statistical tests (e.g., multiple regression analyses, ANOVA testing)—which implied that AI use was benign with financial performance measures, such as well-performed higher ROEs and lower Des. The findings reported above suggest a positive association between the use of AI and financial performance measures, as revealed by larger ROEs and lesser DEs. AI cap structure efficiency: Tech and HealthCare do, old-world challenged It also highlights the ground-breaking potential benefits of AI for MSMEs in terms of net income and financial risk, as well as the obstacles to implementation. Our report also ca ls for further research to develop AI tools that are accessible and custom-designed for micro, small, and medium enterprises (MSMEs).
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