隐性知识
知识管理
知识库
程序性知识
知识体系
显性知识
知识价值链
计算机科学
组织学习
人工智能
作者
Peter Busch,Deborah Richards
摘要
Although codified knowledge and its capture is commonplace, tacit knowledge has up until recent years proved elusive in its inclusion within the organisation's knowledge base. Codified knowledge or articulate knowledge is knowledge that we are all quite familiar with and includes for all intents and purposes the entire range of printed and electronic media. We present here an approach aimed at graphically representing articulable tacit knowledge. It is anticipated that eventual successful modelling of such knowledge will ultimately be undertaken in several Sydney organisations with a view to improving information capture and transference. Two main approaches are demonstrated, the initial approach using formal concept analysis as a means of visualising tacit knowledge differences in questionnaire respondents, whilst the second approach is largely qualitative in nature and aims to better define both textually and then graphically what we may actually consider to comprise tacit knowledge.
科研通智能强力驱动
Strongly Powered by AbleSci AI