multinational and other firm level networks using the specialistcontext of Formula 1 motor over a fifty nine year period. We suggest …

computational efficiency of generalized regression neural networks (GRNN). For imputing missing values and forecasting univariate … Regression Neural Networks (GRNNs) trained on different subsets of features generated by SAGA and the predictions of base …

In the past two decades, clusters have received widespread attention as an instrument for enabling firms to overcome … throughout time. In the 21st century a lot of work has been done towards the system approach of clusters and the policies that … preliminary stage of a PhD research project concerning the possibility of construction clusters in the region of Crete. …

Much of the literature on clusters has focused on the economic advantages of clusters and how these can be achieved in …’s boundaries. The paper concludes that HRM can assist in generating rents for firms and clusters more broadly when the function …

inexistem clusters no estado de MS; quanto aos pólos de crescimento, foi identificado em Ivinhema, o Pólo mandioqueiro, sem …-industrial clusters of Mato Grosso of Sul (MS), based of the available methodologies of local development. The importance of this study if … it gave for the fact to identify the industrial clusters (Local Systems of Production) distributed by the territory of …