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Using a study of the relationship between bureaucratic work environments and individual rates of entrepreneurship, I revisit a fundamental premise of sociological approaches to entrepreneurship, namely, that the social context shapes the likelihood of entrepreneurial activity, above and beyond any effects of individual characteristics. Establishing such contextual effects empirically is complicated by the possibility that unobserved individual traits influence both the contexts in which people are observed and their likelihood of becoming entrepreneurs. This paper presents the first systematic study of the effects of bureaucracy on entrepreneurship that accounts for such unobserved sorting processes. Analyses of data on labor market attachments and transitions to entrepreneurship in Denmark between 1990 and 1997 show that people who work for large and old firms are less likely to become entrepreneurs, net of a host of observable individual characteristics. Moreover, there is strong evidence to suggest that this negative effect of bureaucracy does not spuriously reflect self-selection by nascent entrepreneurs into different types of firms. An important implication of this finding is that the structure of organizational populations affects the supply of nascent entrepreneurs, as well as the availability of entrepreneurial opportunities.

The demand shifts that have played an important role in driving up wage inequality in the United States during the past quarter century are changes in the world of organizations. However, despite great advances in organizational theory during the same time period, there has been little progress in understanding how organizational processes shaped the evolution of inequality. Most theory and research focuses on processes internal to organizations. The author presents theory and evidence suggesting that progress can be made through greater attention to the consequences of organizational diversity for matching and inequality in the labor market.

Prevailing research claims that strong corporate cultures improve firm performance by facilitating internal behavioral consistency. This paper addresses an unexamined implication of this argument by analyzing the effect of strong corporate cultures on the variability of firm performance. This relationship depends on how strong cultures affect organizational learning in response to internal and external change. I hypothesize that strong-culture firms excel at incremental change but encounter difficulties in more volatile environments. Results of analyses of a sample of firms from a broad variety of industries show that in relatively stable environments, strong-culture firms have more reliable (less variable) performance. In volatile environments, however, the reliability benefits of strong cultures disappear.

Most entrepreneurs emanate from established organizations, yet systematic theorizing about the ways in which organizations shape the entrepreneurial process has only recently begun to emerge. We provide a framework for organizing this emerging literature. We focus on four different metaphors in the literature for how organizations matter in the entrepreneurial process and suggest promising avenues for future research.

This paper investigates the relationship between organizational aging and innovation processes to illuminate the dynamics of high-technology industries, as well to resolve debates in organizational theory about the effects of aging on organizational functioning. We test hypotheses based on two seemingly contradictory consequences of aging for organizational innovation: that aging is associated with increases in firms' rates of innovation and that the difficulties of keeping pace with incessant external developments causes firms' innovative outputs to become obsolete relative to the most current environmental demands. These seemingly contradictory outcomes are intimately related and reflect inherent tradeoffs in organizational learning and innovation processes. Multiple longitudinal analyses of the relationship between firm age and patenting behavior in the semiconductor and biotechnology industries lend support to these arguments.