Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, PL | en_US |
dc.contributor.author | Lai, TC | en_US |
dc.date.accessioned | 2014-12-08T15:39:48Z | - |
dc.date.available | 2014-12-08T15:39:48Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.isbn | 3-540-23987-1 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/27196 | - |
dc.description.abstract | Knowledge Management (KM) with information technology (IT) has made tremendous progresses in recent years. It has helped many people in making decision and transactions. Nevertheless, without continuous expanding and upgrading our habitual domains (HD) and competence set (CS), KM may lead us to decision traps and making wrong decisions. This article introduces the concepts of habitual domains and competence set analysis in such a way that we could see where KM can commit decision traps and how to avoid them. Innovation dynamics, as an overall picture of continued enterprise innovation, is also introduced so that we could know the areas and directions in which KM can make maximum contributions and create value. KM empowered by HD can make KM even more powerful. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Knowledge Management, habitual domains, and innovation dynamics | en_US |
dc.type | Article; Proceedings Paper | en_US |
dc.identifier.journal | DATA MINING AND KNOWLEDGE MANAGEMENT | en_US |
dc.citation.volume | 3327 | en_US |
dc.citation.spage | 11 | en_US |
dc.citation.epage | 21 | en_US |
dc.contributor.department | 資訊管理與財務金融系 註:原資管所+財金所 | zh_TW |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000227493600002 | - |
Appears in Collections: | Conferences Paper |