Written by international contributors, Learning Curves: Theory, Models, and Applications first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partia
Learning Curves - Literature Review and Future Research Directions. Inside the Learning Curve: Opening Up the Black Box of the Learning Curve. The Learning-Quality Relationship. Forgetting Curves: A Review. Learning and Forgetting: A Conceptual Framework. The Organizational Learning Curve. The Learning Organization at the Steady State. Inventory Management and the Learning Curve. Work Assignment in Mass Customized Production Lines Based on Learning Curves. Industrial Work Measurement and Improvement Through Multivariate Learning Curves. Timing Software Upgrades to Maximize Productivity: A Decision Analysis Model Based on the Learning Curve. Learning Curves in Project Management: The Case of a Troubled Implementation. Learning and Thinking Systems. Learning Curves for the Assessment of Energy Technologies.