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.
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