.png){kind=icon}
Return
Problem solving and knowledge inertia
.png){kind=icon}
PRE
AI
DOI：10.1016/S0957-4174(01)00046-X.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Knowledge is becoming much more important for individuals and organizations than before. Knowledge management (KM) has been proposed as a methodology that can manage knowledge in organizations. However, KM may also have a nature, knowledge inertia (KI), stemming from the use of routine problem solving procedures, stagnant knowledge sources, and following past experience or knowledge. It may enable or inhibit an organization's or an individual's ability on problem solving. In order to explore to what extent, this research investigates several issues. First, types of knowledge have been specified. Second, knowledge from problem solving has been classified and understood. Third, inertia from knowledge is illustrated with some cases. Fourth, circulation of knowledge types in terms of avoiding KI is described. Finally, a case study of a military training institute implementing training revolution and overcoming KI is demonstrated. The proposed knowledge-based architecture investigates the mechanism of case base, heuristic base, and rule base that incorporates explicit knowledge, tacit knowledge, and procedural knowledge in support of managing knowledge and dealing with inertia. (C) 2001 Elsevier Science Ltd. All rights reserved.
Keywords:
problem solving
knowledge management
knowledge inertia
artificial intelligence
theory
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.5
Papers:
3.0W
Citations:
10.2W
Organization
No organization information available
Cited Papers
No cited papers available