OS MODELOS SCP E DE PORTER: TESTE DE ADERÊNCIA NA INDÚSTRIA FARMACÊUTICA BRASILEIRA / THE SCP AND PORTER´S MODELS: THEIR ADHERENCE TO THE BRAZILIAN PHARMACEUTICAL INDUSTRY

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

This study aims at comparing the performance of SCP (Mason, 1939; Bain, 1956, 1968) and Porter´s (1980) models in the Brazilian pharmaceutical industry between 1999 and 2002. The intension is not, therefore, to analyze the applicability or robustness of these models or even to criticize them, but just to test its adherence to the Brazilian reality. For the research, the 50 companies with greater revenue in reais in the year of 2002, in the pharmaceutical industry, are considered. They represent 91% of the total industry revenue and 90% of the industry sold units. Data are collected after Cohen (2004), which source is the Pharmaceutical Market Brazil-PMB data base. Based on the statistical technique of Structural Equations Model - SEM and using the stages described by Hair et al (1998) for its application, the selected variables are tested, the models are designed and calculated by means of LISREL and, at the end, results are compared. The conclusion, with reserves, is that, despite the quality of the sample - having small number of cases and proporcional great number of variables used to measure the constructs - the companies strategies show greater influence on the performance than the industrial structure, confirming previous studies, and that this influence is same in the two tested models. A suggestion for the improvement of the results concerns changing the used sample for the universe of the laboratories, what would increase the possibility of adherence of the models, without implicating direct relationship with managerial techniques. Other sugestion is to maintain the sample, but with revaluation of the test variables.

ASSUNTO(S)

medicamentos genericos scp and porter´s models pharmaceutical industry generic drugs modelos scp e de porter modelos de equacoes estruturais structural equations model industria farmaceutica

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