Knowledge Diffusion via AUTomated Organizational CARTography [AUTOCART]

The Post-Globalisation era has thrust businesses everywhere into new and different competitive situations where knowledgeable, effective and efficient behaviour has come to provide the competitive and comparative edge. Enterprises have turned to Knowledge Management to elaborate a systematic approach to develop and sustain the Intellectual Capital needed to succeed. To be able to do that, you have to be able to visualize your organization as based on knowledge and knowledge flows presented in a graphical and visual framework, referred to in this article as automated organizational cartography. This builds upon the ability to actively classify existing organizational content evolving from and within data feeds in an algorithmic manner. The article firstly reviews certain definitions and classifications of knowledge management, representing a wide range of views from mechanistic (systematic, data driven) to a more socially (psychologically, cognitive/metadata driven) orientated. The paper reports more elaborate continuum models for knowledge acquisition and reasoning purposes and suggests that they can be used for effectively representing the domain of information that an end user may contain in their decision making process for utilization of available organizational intellectual resources.