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Based on an empirical survey, three types of clusters were found: basic, intermediate and advanced.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Among the research limitations is the undersized sample of primary data which does not allow deep findings to be drawn about the innovative behavior of the clusters in a general way. Therefore, future research should focus on this area, extending the empirical analysis presented here to add qualitative indicators on innovative behaviour, to calculate the impact of absorptive capacity in the case of regional clusters.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>This study provides a consistent methodology of cluster operation which could be useful for undertaking comparative work within regions' clusters across different sectors and countries, to reinforce the importance of the current discussion of policy clusters, and to identify specific requirements and needs of each cluster in order to improve the quality of decision making and to draw some policy implications.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>This paper is the first to measure specialized critical mass of a region's clusters at the enterprise level and to explain cluster innovative behaviour, combining primary and secondary, based on ECO criteria. Furthermore, it provides initial empirical evidence and an amount of significant findings to support managers and policymakers in the understanding of regional and innovation clustering of small to medium\u2010sized enterprises.<\/jats:p><\/jats:sec>","DOI":"10.1108\/10595421211205985","type":"journal-article","created":{"date-parts":[[2012,3,24]],"date-time":"2012-03-24T08:47:58Z","timestamp":1332578878000},"page":"147-169","source":"Crossref","is-referenced-by-count":13,"title":["Specialization of regional clusters and innovative behavior: a case study"],"prefix":"10.1108","volume":"22","author":[{"given":"Jo\u00e3o","family":"Ferreira","sequence":"first","affiliation":[]},{"given":"Susana","family":"Garrido Azevedo","sequence":"additional","affiliation":[]},{"given":"M\u00e1rio L.","family":"Raposo","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022013019442910700_b1","unstructured":"Acs, Z.J. and Audretsch, D. 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