Revelatory Attributes of Neuronal Group Architecture for Strategic Knowledge Management

Harold E. Klein, Fox School of Business, Temple University

Additional to the content itself, the organization and representation of information largely will determine its utility. No single template can suit all applications or purposes. Obviously, the better defined these are, especially if the application/purpose has been performed repeatedly, the clearer and more specific can be the information requirement. Conversely, the more diffuse the problem specification, the less likely it is that the requisite information for its solution can be forthcoming. This is particularly the case when confronted by a truly "complex" problem such as strategy formation under chaotic conditions. Here it is not a question of making choices among various explicit decision alternatives. The question, more often than not, is how to define the problem in the first place and, after due consideration, just what might be responsive alternatives.

The notion that information chunks of cognitive activity organized along the lines of biological complex systems is a useful, even revelatory, architecture has gained currency. Network analysis, for example, employed in examining organizational information flows derives directly from biological system architectures. However, not all such network templates are equally useful. Among these, neuronal group architecture has been found to closely pattern several interrelated strategic decision making activities: knowledge management, scenario planning and network organization design. Visualizations of strategic problems in and of themselves employing such a template were found to reveal answers to key strategic questions. The results of an actual application of this type of biologically-enacted protocol will be shown.