Adapting a Dynamic Model of Interorganizational Cooperation to the Health Care Sector

Abstract

Despite a recent proliferation of interorganizational networks in health care, there is very little empirical guidance about how to facilitate their success over time. The current study tests a theory of cooperative evolution in the context of five matched pairs of successful versus “challenging” initiatives within six community health center-led networks. Researchers collected initial data in 2000/2001 and conducted follow-up interviews with key informants two years later. Analyses included semi-inductive coding of interview transcripts and systematic comparisons between successful and challenging cooperative efforts. As theory predicts, both initial conditions and subsequent adaptation affected project evolution, with successful and challenging projects following distinct trajectories. The external environment and momentum, however, played more salient roles in these health care safety net networks than they had in corporate ventures. These findings indicate the utility of qualitative techniques to adapt theories developed in other sectors to health care contexts.