A Managerial Early Warning System for the Sustainable Knowledge Based Organization

The article aims to highlight the main characteristics of a managerial early warning system which is designed especially for the sustainable knowledge based organization. In order to achieve our goal we used an ethical approach and focus on case study as the research strategy. Based on the results of a documentary study and in-depth interviews, we have selected three sustainable knowledge based organizations from the business environment from Iasi and Madrid. For each of them, we have conceived, tested and validated a managerial early warning system, based on an artificial neural network. The results have showed that the artificial neural network, on which the system is based on, must include at least 28 factors. As a consequence, it has theoretical and managerial implications. On the one hand, it proposes a new strategic instrument. On the other hand, it highlights the most important elements that are influencing firm’s profitability.