Abstract:
Small and medium-sized businesses (SMEs) have an outsized impact on the economy. Small and medium-sized enterprises (SMEs) contribute significantly to GDP and should be g...Show MoreMetadata
Abstract:
Small and medium-sized businesses (SMEs) have an outsized impact on the economy. Small and medium-sized enterprises (SMEs) contribute significantly to GDP and should be given additional interest to have a large economic effect. Small and medium-sized business owners eagerly anticipate the chance to implement new ideas, tweak them as needed, and spread the word. Small and medium-sized enterprises (SMEs) face challenges in competition, market volatility, technological change, resource scarcity (especially data), and managerial acumen. The potential of small and medium-sized enterprises (SMEs) needs special attention. To aid SMEs in making informed decisions, the authors of this research proposed a business intelligence model for SMEs (BIM-SME) that considers demand and supply data. BIM-SME transforms the information into durable business intelligence that the business community may use to make better decisions. This framework, which incorporates the latest market trends, makes it possible for SMEs to survive. Compared to alternative methods, the BIM-SME performs admirably, with a predictive accuracy of 93.45%, returns of 91.29%, and net profit attainment of up to 89.69%.
Published in: 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)
Date of Conference: 16-18 November 2023
Date Added to IEEE Xplore: 13 February 2024
ISBN Information: