Abstract

Digital economy has become the new engine of economic growth. The advancement of IT such as cloud computing, big data, Internet of things (IoT), mobile Internet, and artificial intelligence in recent years has refined knowledge management (KM) systems and applications. The cyber-physical system helps analyze how KM systems should be reconfigured for organizations in the era of digital economy. The demands for data-driven value creation and heterogeneous resource integration and the requests for a deep understanding of knowledge ecosystems drive the transformation of KM practices. Therefore, this chapter proposes the trends of KM based on the following aspects: (1) change from data mining to real-time decision-making; (2) change from local KM to global KM; (3) value co-creation enables efficient innovations in organizations; (4) automate unstructured content analysis to drive knowledge discovery; (5) build a large-scale enterprise knowledge graph, representing an organization’s’ intelligence; and (6) coordinate interactions between human and machine intelligence.