Some of the key issues that emerged from the two days included a consensus that KM has evolved so we no longer need to convince people it is needed. We now need now to know how to “do KM” – that is, how to implement knowledge management in organizations in a more informed manner. In particular, the need for more how‑to guides, detailed rules, good validated practices and an overall quasi‑standard approach to KM implementation were noted as priority needs for the KM community. In addition, particular guidance is required concerning the KM teams (who should do what?) and how best to address tacit knowledge. Other issues concerned the specific components that should be present in a KM workspace and how this workspace can address the needs of different users who need to accomplish different sorts of tasks
While participants felt that we still have to convince some senior managers, we now also need to better address how to align KM processes so as to not create overhead. For example, what is the impact of KM on other parts of the organization such as training and IT units? How can we change peoples’ behaviours and how they think about the work they do? What are the new skills/competencies needed? How can they acquire them? How to integrate KM into business processes? How to integrate KM roles within existing jobs?
The good news is that the discipline and practice of KM has evolved – the bad news is that we still have a long way to go. The focus is now on how to do KM well. Educators need to focus on student competencies, skills and roles and responsibilities. Researchers need to focus on more evidence‑based and theory‑based KM. Practitioners need to focus on feedback from users and best practices.
The collection of papers in this special conference edition address the multitude of issues we currently face, and will continue to face, in the future. There is an excellent mix of practical case studies, practical tools such as intellectual capital measurement models in addition to more conceptual and theoretical approaches to solving crucial KM problems.