ABSTRACT

Stable nonchanging environments may exist in ideal models, whereas change and unpredictability dominate in the real world. Considering knowledge life cycles (discovery, capture, utilization, and retirement or loss) in such realworld settings and their importance for ongoing organizational success it would seem sensible to view companies as “knowledge engines” — organizations which develop knowledge and skill-related capabilities, in order to use them in knowledge-intensive processes aiming at the delivery of value-for-money products.