Downloads provided by UsageCounts
This paper examines experience and knowledge, experience management (EM) and knowledge management (KM), and their interrelationships. It then proposes waterfall models for both EM and KM. The models characterize EM and KM as the integration of experience processing and corresponding management, that of knowledge processing and corresponding management respectively. The proposed approach will facilitate research and development of KM, EM, and hybrid intelligent systems.
Knowledge management experience management knowledge based systems.
Knowledge management experience management knowledge based systems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 | |
| downloads | 7 |

Views provided by UsageCounts
Downloads provided by UsageCounts