Dynamic evolution in system modeling of knowledge-intensive business services' organizational inertia

Abstract

This research analyzes inertia as a metaphor to explain organizational change and innovation by adopting system dynamics modeling of the organizational inertia of knowledge-intensive business services (KIBS). KIBS are regarded as the main study object in virtue of more uncertainties and complicatedly ever-changing environments and their winning inertia for the survival is a buzzword. This study aims at making out the specific component of organizational inertia of KIBS, which have the prominently different characteristics from the traditional industries. It highlights the level and rate model to illustrate the dynamic evolutionary processes of organizational inertia and works out the input and output graphs of organizational inertia in Vensim that demands the relevant system modeling foundations in the empirical practice. © 2010 Springer-Verlag Berlin Heidelberg.