Indexed by:会议论文
Date of Publication:2016-11-04
Included Journals:EI、CPCI-S
Volume:660
Page Number:82-93
Key Words:Problem-driven; Problem solving; Knowledge acquisition; Knowledge management
Abstract:Most papers claim that knowledge acquisition is a critical bottleneck and has become an important research issue in knowledge management. However they take very different perspectives on it and there is little agreement on how it should be implemented in the industry. In this paper, we investigate problem solving as a cognitive process and propose a new and practical methodology for problem-driven knowledge acquisition. Our contribution includes: (1) proposing a model for problem-driven knowledge acquisition at cognitive level which integrates cognitive structures of problem solvers with situations of knowledge acquisition; (2) designing a framework for problem-driven knowledge acquisition which implements knowledge structured from prior practical experience; (3) developing a prototype system and implementing a mechanism of problem-driven knowledge acquisition. Our proposed methodology has been applied in a real practice case. The results demonstrate that the prototype system can be an effective tool for enterprise-wide knowledge management practice.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:系统工程研究所
Discipline:Management Science and Engineering. Systems Engineering
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