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Abstract

This paper presents an environment to support the development of actionable knowledge (knowledge that is used to create value) within the classic management systems. In order to successfully assist an organization in creating new actionable knowledge for a management consultant must be aware of a knowledge dimension called Coalescent knowledge. The process for creating actionable knowledge in this dimension is a dialogue process. For example, product development is guided by several expert knowledge including critical reflective practice which are dynamic, derived from experience and are often nonlinear. A new inductive learning intelligent technique called Rough set theory, which is to be used along with coalescent knowledge, is proposed. The induced rules are intended to be the supportive knowledge for guiding the content flow planning. They can be used as decision-support rules to achieve the objectives of the plan. The framework of the classic management has been discussed and is modified using the Rough set theory method. The proposed method has been explained via an algorithm and a running example.

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