2 resultados para Normal Accident Theory

em Repositório digital da Fundação Getúlio Vargas - FGV


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An accident with Brazilian Satellite Launching Vehicle (SLV-1 V03) third prototype in August, 2003 at Alcântara Base, in the State of Maranhão, dramatically exposed accumulated deficiencies affecting Brazilian space sector. A report regarding this accident published by Ministry of Defense recognized the relevance of organizational dimension for the success of Brazilian space policy. In this case study, the author analyses sector organizational structure - the National Space Activities Development System (NSADS) - to evaluate its adequacy to policy development requisites. The Theory of Structural Contingency - TSC provided the analytical framework adopted in the research complemented by two organizational approaches that focuses high risk systems: Normal Accident Theory - NAT and High Reliability Theory - HRT. The last two approaches supported the analysis of NSADS's organizations which are, according to Charles Perrow definition, directly involved in developing high risk technological systems and their relationship with the System. The case study was supplemented with a brief comparison between NSADS and the organizational structures of North-American and French civilian space agencies, respectively, NASA and CNES, in order to subsidize organizational modeling of Brazilian System.

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Competitive Strategy literature predicts three different mechanisms of performance generation, thus distinguishing between firms that have competitive advantage, firms that have competitive disadvantage or firms that have neither. Nonetheless, previous works in the field have fitted a single normal distribution to model firm performance. Here, we develop a new approach that distinguishes among performance generating mechanisms and allows the identification of firms with competitive advantage or disadvantage. Theorizing on the positive feedback loops by which firms with competitive advantage have facilitated access to acquire new resources, we proposed a distribution we believe data on firm performance should follow. We illustrate our model by assessing its fit to data on firm performance, addressing its theoretical implications and comparing it to previous works.