| 摘要 |
The consumption of decision information by an organizations' own structures results in an upper limit on the average sustainable per capita decision rate. Individual decision-makers insert management decisions into the control network and expect to eventually receive decisions back from it. The organizational entropy and the related maximum decision rate measure extra information used to support the partitioning of tasks to decision-making nodes. The invention teaches how to quantify organizational entropy, using information theory, and applies the new principles to tools for managing and re-engineering organizations in order to improve productivity in performing knowledge-intensive tasks. The embodiments are quantitative methods of choosing efficient organizational structures and sizes matched to the decision complexity. Some preferred methods are OR optimization techniques that incorporate organizational entropy into their cost functions and also rules or heuristics for applying broad organizational re-engineering strategies that managers can use to improve performance.
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