Strategic Decision Support Systems for Enhancing Competitive Advantage in Small and Medium Enterprises

This study explores the role of Decision Support Systems (DSS) in overcoming the challenges faced by SMEs, such as limited access to finance, technology, and skilled labor. Grounded in the Resource-Based View (RBV) and Porter's Five Forces model, the study addresses the problem of maintaining competitiveness in dynamic markets. The primary objectives are to assess how DSS can enhance decision-making, operational efficiency, and strategic planning in SMEs. Utilizing a systematic literature review methodology, the study synthesizes findings from various peer-reviewed sources. Key findings indicate that DSS significantly improve SMEs' strategic capabilities by facilitating data-driven decisions, enhancing agility, and optimizing resource management. The study recommends that SMEs prioritize cloud-based DSS solutions, improve data management, and invest in user-friendly interfaces. A structured computing methodology for DSS implementation is presented to ensure effective application of DSS tailored to the specific needs of SMEs, enabling real-time data-driven decisions and resource optimization. Future research should explore the integration of emerging technologies such as artificial intelligence and machine learning into DSS to further enhance their effectiveness for SMEs. Despite its contributions, the study acknowledges limitations such as reliance on qualitative data and suggests future research directions to expand and validate the findings.