Colored Petri Net Model of Knowledge Flow Based on Knowledge Life Cycle

Yu Yu, Yao Chen and Qinfen Shi
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Yu Yu: Nanjing Audit University
Yao Chen: Nanjing Audit University
Qinfen Shi: Suzhou University of Science & Technology

Chapter Chapter 6 in Strategy and Performance of Knowledge Flow, 2018, pp 83-94 from Springer

Abstract: Abstract Knowledge has become the most precious property of any commercial or academic institution. Knowledge management plays the key role in upgrading the competitiveness of a team. Knowledge management concerns innovating, spreading, sharing, and using knowledge. Research on knowledge management targets the management aspects, including organizational learning, personal management, culture, etc. (Drucker 1998), and the technical aspect includes models, support tools, and environments (Zhuge 2002a, b). Knowledge is power, but knowledge is not just statically stored. It evolves through being shared and developed by roles, people, and various resources within the cyber-physical-socio environment. Knowledge flow is the passing of knowledge between people or through machinery. It has three crucial attributes: direction (sender and receiver), carrier (medium), and content (shareable). Good knowledge flow enables intelligent participants (people, roles, and devices) to cooperate effectively (Zhuge 2004). The literature has investigated multiple types of flows, e.g., material flow (Brunner and Rechberger 2004), energy flow (Odum 1968), message flow (Nierstrasz 1985), control flow (Heintze 1995), etc., and the rules they follow in respective domains.

Keywords: Knowledge Flows; Coloured Petri Nets (CPN); Knowledge Life Cycle (KLC); Knowledge Flow Process; Knowledge acquisitionKnowledge Acquisition (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-77926-3_6

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