In a previous post I wrote about KM for Collaboration and Innovation, and in this post I pointed out that research areas are critical to new product creation and the speed to market for new products are essential to stay ahead of your competitors. KM plays a central role not only from the perspective of innovation by knowing what has been done and/or what is being done in other areas of research that can be utilized, but also from the collaboration and knowledge sharing among researchers contributing to the speed of new products to market.
At its core the nature of research is to nurture open access to extensive amounts of tacit knowledge (knowledge within the minds of people) and explicit knowledge (knowledge that is written down) by applying a model that reflects the natural of flow of knowledge. The model of Connect – Collect —Reuse and Learn depicts a knowledge flow model that supports KM within research institutions and R&D functions within organizations. For KM to work within a research environment (as with other environments) a culture and structure that supports, rewards and proves the value KM can bring will encourage the continued use and adoption of the KM practice.
In addition, the choice of IT tools (which is of secondary importance) should be brought in to the organization to automate the knowledge flow and its associated process. The KM tool(s) must support KM goals/strategies, provide a means to connect, collect, catalog, access, and reuse tacit and explicit knowledge. In addition the KM tool(s) must capture new learning to share across the organization, and provide search and retrieval mechanisms to bring pertinent knowledge to the user.