Operationalizing opportunities in entrepreneurship research: use of data envelopment analysis

Abstract

Despite the impressive development of substantive theories in entrepreneurship, without the development of measurement theories, further advancement of the field is problematic. In particular, the notion of opportunities, central to entrepreneurship research, requires adequate macro-level operationalization. We demonstrate how to employ data envelopment analysis (DEA) to operationalize not only innovative opportunities, but also technological arbitrage opportunities. We provide an illustrative example based on a sample of 66 countries during the period of 1993–2002. We include estimates of innovative and arbitrage opportunities for possible use by other scholars, discuss the promise and limitations of such estimates, demonstrate how both innovative and arbitrage opportunities correlate with the rates of entrepreneurial activity, and suggest several possible directions for future research.