Open AccessAn Evolutionary Perspective of the Relationship Between Corporate Strategy and Performance, Through the Use of Artificial Neural Networks and Genetic Algorithms<Br>Http://Dx.Doi.Org/10.5585/Riae.V9i3.1689
Author(s) -
Alexandre Teixeira Dias,
Carlos Alberto Gonçalves,
Gustavo de Souza
Publication year - 2011
Publication title -
revista ibero-americana de estratégia
Language(s) - English
Resource type - Journals
ISSN - 2176-0756
DOI - 10.5585/ijsm.v9i3.1689
Subject(s) - perspective (graphical) , artificial neural network , genetic algorithm , computer science , evolutionary algorithm , order (exchange) , artificial intelligence , machine learning , business , finance
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.