AI-Powered Knowledge Systems for SME Financial Management: A Conceptual Approach

The digital transformation landscape has created unprecedented opportunities for small and medium-sized enterprises (SMEs), yet many struggle to leverage sophisticated financial management tools due to knowledge gaps and implementation complexities. This paper introduces an AI-driven Knowledge Enhancement and Advisory System (KEAS) to bridge the financial knowledge gap in small and medium-sized enterprises (SMEs). The framework integrates adaptive learning, virtual advisory services, and collaborative networking to provide personalized financial education and strategic support. Preliminary validation with SMEs shows significant improvements in decision-making efficiency and confidence. This innovation democratizes access to advanced financial tools, promising transformative impacts on SME operations and market competitiveness. Analysis of recent developments in AI-driven educational systems and financial technology reveals that while 89% of SMEs acknowledge the importance of advanced financial tools, only 31% successfully implement them. The framework addresses this disparity through a three-tiered approach: adaptive learning pathways, real-time advisory services, and collaborative knowledge networking. Preliminary validation with a focus group of 50 SMEs indicates potential for significant improvements in financial decision-making efficiency, with early adopters reporting a 42% reduction in analysis time and a 35% increase in confidence when making complex financial decisions. The framework incorporates cutting-edge machine learning algorithms for personalized learning experiences, natural language processing for intuitive interaction, and predictive analytics for strategic planning support. This innovative approach to financial literacy and capability building represents a significant advancement in democratizing access to sophisticated financial management tools, potentially transforming how SMEs approach financial decision-making and strategic planning. By improving SME financial capabilities, this framework could significantly contribute to economic resilience and innovation.

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Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-11-05
DOI
https://doi.org/10.21275/sr241117060640
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
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article

AI-Powered Knowledge Systems for SME Financial Management: A Conceptual Approach

Aderonke BankoleFalaye
International Journal of Science and Research (IJSR)
Impact of AI and Big Data on Business and Society
article

AI-Powered Knowledge Systems for SME Financial Management: A Conceptual Approach

Aderonke BankoleFalaye
article en

Abstract

The digital transformation landscape has created unprecedented opportunities for small and medium-sized enterprises (SMEs), yet many struggle to leverage sophisticated financial management tools due to knowledge gaps and implementation complexities. This paper introduces an AI-driven Knowledge Enhancement and Advisory System (KEAS) to bridge the financial knowledge gap in small and medium-sized enterprises (SMEs). The framework integrates adaptive learning, virtual advisory services, and collaborative networking to provide personalized financial education and strategic support. Preliminary validation with SMEs shows significant improvements in decision-making efficiency and confidence. This innovation democratizes access to advanced financial tools, promising transformative impacts on SME operations and market competitiveness. Analysis of recent developments in AI-driven educational systems and financial technology reveals that while 89% of SMEs acknowledge the importance of advanced financial tools, only 31% successfully implement them. The framework addresses this disparity through a three-tiered approach: adaptive learning pathways, real-time advisory services, and collaborative knowledge networking. Preliminary validation with a focus group of 50 SMEs indicates potential for significant improvements in financial decision-making efficiency, with early adopters reporting a 42% reduction in analysis time and a 35% increase in confidence when making complex financial decisions. The framework incorporates cutting-edge machine learning algorithms for personalized learning experiences, natural language processing for intuitive interaction, and predictive analytics for strategic planning support. This innovative approach to financial literacy and capability building represents a significant advancement in democratizing access to sophisticated financial management tools, potentially transforming how SMEs approach financial decision-making and strategic planning. By improving SME financial capabilities, this framework could significantly contribute to economic resilience and innovation.

International Journal of Science and Research (IJSR)Vol. 13(11)
Decent work and economic growth
Openalex Percentile: Top 74%
Impact of AI and Big Data on Business and Society
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