In today’s complex, data-intensive business environment, organizations are increasingly relying on knowledge-based decision-making (KBDM) to achieve a competitive advantage. This article investigates how integrating systematic knowledge management processes into the decisionmaking framework enhances organizational performance. Using a mixed-methods approach, including comprehensive surveys, in-depth interviews, and document analysis, the study identifies key enablers of KBDM. These include a collaborative organizational culture, supportive and visionary leadership, and the deployment of advanced technological systems such as decision support systems and artificial intelligence. The findings reveal that organizations that effectively capture both explicit and tacit knowledge can make more informed, evidence-based decisions that improve innovation, operational efficiency, and strategic adaptability. Moreover, the research underscores the importance of aligning technology with human processes to prevent information overload and ensure that knowledge is shared and applied effectively. The practical implications of these findings suggest that firms must invest in building robust knowledge infrastructures and fostering a culture that rewards learning and continuous improvement. The study also outlines future research directions for developing quantitative metrics to evaluate decision quality and further exploring cross-cultural differences in knowledge management practices.