Gregory A. Daneke

The Reluctant Resurrection:New Complexity Methods and Old Systems Theories

Abstract: Nonlinear tools and concepts (derived from the relatively recent computational advances in the physical, biological, and cognitive sciences) offer valuable insights into the evolution and behavior of human as well as natural systems. Hence, of late, organizational studies have begun to apply both the methods, as well as the metaphors, of nonlinear dynamical systems (known by the popular terms “chaos” and “complexity”). While these various studies often allude to unique epistemological features, full-blown theoretical developments are rare indeed. Moreover, this lack of a coherent foundation leads to a number of misconceptions, not the least of which is the belief that the results of nonlinear analysis can be integrated easily with existing social theories. In reality they present significant theoretical challenges. Specifically, they rely upon its concepts of holism and emergence, as well as alternative perspectives of sociocultural evolution and collective rationality. Thus, serious theory building requires a revival of elements from earlier Systems Theories, including the development of certain hybrid concepts such as “Systemic Choice” (which seeks to reconcile human agency and institutional processes).

Beyond Schumpeter: Nonlinear economics and the evolution of the U.S. innovation system

Abstract To the extent that the U.S. has a national innovation system (actually systems), it is in the midst of a dramatic transformation. Essentially, international competition and internal political machinations are causing a shift away from a Schumpeterian system of entrepreneurial capitalism toward a more mercantilistic system. Industrial structures and government policies alike are beginning to mirror their global counterparts. Meanwhile, strategic analyses, both at the level of the firm and the nation state, remain mired in the methods of the past industrial epoch. This conceptual overview contends that the emerging science of nonlinear or advanced systems (chaos and complexity theories) provides a useful addendum to Schumpeters perspectives. Moreover, tools and strategies derived from nonlinear or advanced systems are better suited to both understanding and managing this transformation.