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What is Knowledge Space

Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments
knowledge space is a combinatorial structure describing the possible states of knowledge of a human learner.
Published in Chapter:
Knowledge Flow Networks and Communities of Practice in Business Process Management
Rajiv Khosla (La Trobe University, Australia), Mei-Tai Chu (La Trobe University, Australia), Shinichi Doi (NEC Corporation, Japan), Keiji Yamada (NEC Corporation, Japan), and Toyoaki Nishida (Kyoto University, Japan)
DOI: 10.4018/978-1-60566-669-3.ch024
Business process management (BPM) is a common approach used in dynamic and complicated environment throughout the organizations’ operation. Knowledge Flow Networks (KFN) and Communities of Practice (CoPs), especially that resulting from innovation needs, is regarded as a BPM issue. It involves both personal and organizational aspects, and is an iteration of the transmission between explicit and tacit knowledge. We discuss business process management in the context of Knowledge Management (KM) and knowledge flow networks. KFN, unlike workflow, can often transcend organizational boundaries and are distinct and different than workflow models. In this chapter, we develop, implement, and analyze a CoPs Centered KFN model in a multinational organization. The CoPs Centered KFN model is underpinned in a CoPs model built around four organization performance evaluation dimensions and sixteen criteria. Many criteria and clusters need to be taken into consideration while establishing a CoPs model. For this purpose, fuzzy multi-criteria decision making and cluster analysis techniques for evaluation of the CoPs Centered KFN model are employed in this chapter. A Dynamic Knowledge Flow Activity Analysis Model is also defined as part of our ongoing and future work.
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More Results
Collaborative Scientific Writing Between Writing Art and Project Management
A mathematical approach describing the requisites of a set of knowledge items to form a congruent conceptual space.
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Robustness in Neural Networks
The space defined by the neural network weights.
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