An Evolutionary Perspective of the Relationship Between Corporate Strategy and Performance, Through the Use of Artificial Neural Networks and Genetic Algorithms

Alexandre Teixeira Dias, Carlos Alberto Gonçalves, Gustavo Ferreira Mendes de Souza


This study aims to contribute to the understanding of the relationship between Corporate Strategy and Performance, from the perspective of the Evolutionary Theory. As methods of data processing, obtained in secondary databases, we used artificial neural networks and genetic algorithms. The results of processing neural networks and genetic algorithms demonstrate the importance of corporate strategies in determining performance. The evolutionary perspective emphasizes the importance of investing in operations as a factor influencing the adequacy of the organization, in order to achieve an improved performance, in addition to establishing relationships with other organizations, through members of the board.


Corporate Strategy; Evolutionary Theory; genetic algorithms; neural networks; Performance.



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Iberoamerican Journal of Strategic Management (IJSM)
Revista Ibero-Americana de Estratégia (RIAE)
e-ISSN: 2176-0756

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