Learning Curves: Theory, Models, and Applications (repost)

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 partial assessments of the steps that make up the actual learning process inside the learning curve.

Traditionally, books on learning curves have focused either on cost accounting or production planning and control. In these books, the learning curve has been treated as a forecasting tool. This book synthesizes current research and presents a clear picture of organizational learning curves. It explores how organizations improve other measures of organizational performance including quality, inventory, and productivity, then looks inside the learning curve to determine the actual processes through which organizations learn.

"… spot on - a lot of research has been conducted to understand learning in organizations as opposed to merely estimating a function that relates cumulative production volume to unit cost. … fills a vacuum in learning curve research in theory, modelling and applications.
—Michael A. Lapre, Owen Graduate School of Management, Vanderbilt University - Nashville, Tennessee, USA