Analysis of competitiveness in business clusters: a consolidation of parameters

• Autor(a) principal: Azevedo, Ana Cláudia
• Data de Publicação: 2020
• Outros Autores: Pereira, Cristina Espinheira Costa, Cunha Mascena, Keysa Manuela
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Redes (Santa Cruz do Sul. Online)
• Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/13226
• topic: Clusters. Competitividade. Modelos. Parâmetros. Métricas.; Clusters. Competitiveness. Models. Parameters. Metrics.; Clusters. Competitividad. Modelos. Parámetros. Métricas.

Understanding the competitiveness of clusters requires analysis beyond geographic concentration, contemplating other factors determining this competitiveness. However, there is no consensus regarding these factors and, consequently, there is no consolidation of the metrics to operationalize them, constituting an obstacle to carrying out studies applied to these objects. Therefore, the objective of this study was to identify, compare, and consolidate models used in the analysis of the cluster's competitiveness from national studies. A systematic review was carried out on SPELL articles published between 2000 and 2016. We identified the use of seventeen models, including twenty competitiveness factors, and for each factor, a metric and its evaluation framework. The most relevant competitiveness factors were cooperation and the coverage of viable and relevant businesses. The contribution of this research is predominantly methodological based on the provision of consolidated parameters to analyze the competitiveness of business clusters.