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Learning Curves: Theory, Models, and Applications - Systems Innovation Book Series
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.
476 pages, 186; 35 Tables, black and white; 100 Illustrations, black and white
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2017. gada 29. marts |
| ISBN13 | 9781138072015 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 476 |
| Izmēri | 234 × 156 × 32 mm · 704 g |
| Valoda | Angļu |
| Redaktors | Jaber, Mohamad Y. (Ryerson University, Toronto, Ontario, Canada) |
