Apr 012013
 
Knowledge Management in Research InstitutionsOn Wednesday April 17th, 2013, there will be a 60 minute webinar detailing the use of Knowledge Management (KM) at and for research departments and/or institutions. The following is a brief description of the webinar:

Research Institutions are critical to innovation and new product creation. The speeds to market for new products are essential to stay ahead of your competitors. Knowledge Management (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.

This webinar will cover the KM strategy, techniques, best practices and application of KM necessary for research institutions to innovate more effectively and shorten the time to bring new products to market.

In a previous blog post I covered KM at Research Institutions and this topic will be presented in depth in my next book Knowledge Management in Practice. For more information click on KM for Research Institutions link. I look forward to your questions and comments.

Feb 172012
 

KM in Research InstituitonsIn 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.

For those who are working in or interacting with research institutions and/or R&D departments I want to hear from you. I look forward to hearing your perspective on what KM is bringing to your world of research!