3 6 Ke·2025-10-05 00:02Core Insights - The article discusses the transition from a "stock" model of knowledge management to a "flow" model, emphasizing the importance of real-time information extraction and decision-making in organizations [3][4][11]. Group 1: Transformation in Manufacturing - The shift from inventory to flow in manufacturing, exemplified by Toyota's lean production, has led to reduced waste and faster decision-making [3][4]. - This transformation has reshaped global supply chains and created new operational models and infrastructures [4]. Group 2: Knowledge Work Challenges - Knowledge work has traditionally been managed like inventory, with static documents and presentations leading to inefficiencies [5][6]. - The static nature of content results in wasted energy, increased coordination costs, and delayed decision-making [6][8]. Group 3: Emergence of Just-In-Time Content - The advent of artificial intelligence allows organizations to move away from static content storage to a model where information can be dynamically generated as needed [10][11]. - This new model emphasizes the importance of real-time, context-specific knowledge delivery, reducing hidden costs associated with traditional content management [11]. Group 4: Future of Information Supply Chain - The transition to an instant content model is seen as an inevitable trend, driven by the structural advantages of reduced waste and increased adaptability [11]. - The future of productivity in knowledge work will be defined by a new information supply chain that prioritizes real-time knowledge generation [11][12].