Integrating Knowledge Management and Business Intelligence for Advancing Data-Driven Decision Making in the Fourth Industrial Revolution

Abstract

The Fourth Industrial Revolution (4IR) has transformed organizations by integrating advanced technologies like artificial intelligence (AI), the internet of things (IoT), and big data analytics into their operations. This study explores how Knowledge Management (KM) and Business Intelligence (BI) contribute to improved business outcomes. BI supports data-driven decision-making, while KM fosters sustainability, collaboration, and innovation, giving businesses a competitive edge. The research examines KM and BI strategies across various industries, including healthcare, business, finance, academia, and government, using a mixed-methods approach with regression analysis, sentiment analysis, and descriptive statistics. A survey of 500 industry professionals revealed that healthcare and industrial sectors were the most motivated to adopt these technologies, while retail and public management were less inclined. Sentiment analysis of discussions highlighted concerns about privacy and job displacement, but also optimism about the potential benefits. Benchmarking pointed to the need for improvements in knowledge sharing, data accuracy, and system integration. Predictions suggest that by 2030, the increased use of KM and BI will enhance operational efficiency, employee engagement, and return on investment (ROI).