Public policy affects the prevalence and performance of both productive and high-impact entrepreneurship. High-impact entrepreneurship prospers when knowledge is successfully generated and exploited in the economy. This process depends on complementary key actors who use their competencies in...

The Information Technology (IT), the Internet, or the Computing & Communications (C&C) technology revolution has been central to the economic discussion for several decades. Before the mid-1990s the catchword was the “productivity paradox” coined by Robert Solow, who stated in 1987 that...

This essay argues that the economic contribution of certain firms – be they small, young or rapidly growing – has to be understood in a broader context of creative destruction. Growth of some firms requires contraction and exit of some other firms to free up resources that can be reallocated...

Public policy affects the prevalence and performance of both productive and high-impact entrepreneurship. High-impact entrepreneurship prospers when knowledge is successfully generated and exploited in the economy. This process depends on complementary key actors who use their competencies in...

High-growth firms (HGFs) are critical for net job creation and economic growth. We analyze HGFs using the theory of competence blocs, linking firm growth to property rights and the interaction of complementary expertise. Specifically, we discuss how the institutional framework affects the...

Based on a review of 700+ peer-reviewed articles since 1990, identified using text mining methodology and supervised machine learning, we analyze how neo-Schumpeterian growth theorists relate to the entrepreneur-centered view of Schumpeter Mark I and the entrepreneurless framework of Schumpeter...

The neo-Schumpeterian growth models, which appeared in the early 1990s, have ostensibly reintroduced the entrepreneur into mainstream growth theory. However, we show that by ignoring genuine uncertainty and by assuming that profits follow an objectively true and ex ante known probability...