Application and impact assessment of an intelligent time management system in small and medium sized enterprises
DOI:
https://doi.org/10.15649/2346030X.5669Keywords:
decision support systems, optimization, computational techniques, time managementAbstract
This study explores the application and effectiveness of an advanced decision support methodology aimed at improving time management and managerial efficiency within Small and Medium Enterprises (SMEs). By integrating value function theory with differential evolution, the research presents a robust framework tailored to the dynamic nature of SMEs. The methodology is assessed through a comprehensive pre- and post-implementation analysis, focusing on key performance indicators such as general sales, margin on sales, and the accounts receivable cycle. Findings from multiple case studies reveal notable enhancements in managerial efficiency and overall business performance, particularly under conditions of uncertainty and complex decision-making. The system's adaptability and alignment with local business practices further highlight its potential for broader application in emerging markets. This research contributes novel insights into organizational management and decision support systems by addressing cultural and economic variables often overlooked in conventional approaches.
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