The COR Model for Analyzing Information Systems Change

Today’s world is one of rapid and constant change. Computer-based information systems, as integral components of our businesses and personal lives, must change and adapt to maintain their effectiveness. IS professionals face the challenges of analyzing, enabling, and controlling information systems changes. In this paper, we present a formal model for viewing and analyzing information systems change. Drawing upon the biological model of punctuated equilibrium, we identify equilibriums in the IS life cycle at which system metrics can be collected and compared with previous equilibriums. Based upon one or more system metrics, a set of COR measures are developed to study system core, obsolescence, and recency. We demonstrate the application of the COR model to two interesting cases of information systems change. Conclusions and future research directions complete the paper. 1. Information Systems Change Change is the only constant in today’s world. For information systems to survive, they must continually adapt to changing conditions and new business environments. At the same time, new and improved information systems instigate changes in the environment (i.e., act as change agents). IS professionals who are responsible for developing and maintaining systems face the significant challenges of analyzing, enabling, and controlling information systems changes. Information systems change and evolve over time. The complete IS life cycle begins with a conceptual phase, moves through initial system development, continues its life in operation with ongoing maintenance and evolution, and, eventually, reaches obsolescence. There are many opportunitie