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Multivariate analysis of the Croatian clusters

Bibliographic Data

ID15068315
AuthorsAlka Obadić (0000-0002-8915-8853, University of Zagreb, corresponding author), Lela Tijanić (0000-0002-2210-1385, Juraj Dobrila University of Pula)
Year2014
Volume27
Issue1
Pages120-133
Publication date2014-01-01
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2014.947134
OpenAlexW2086573505
LanguageEN
Citations received1
References cited21

Clusters have an important role in fostering regional and national economic development. Clustering can help the members to take advantages of the benefits discussed in this article. The aim of the article is to identify the reasons why some of the cluster members in Croatia do not recognise the benefits of clustering? In this article the authors use a multivariate analysis to obtain results to confirm if there are significant differences among firms that: (1) think that clustering helps them; (2) believe that the idea is good but does not function in practice; and (3) consider that clusters are not necessary. Our analysis suggests that different attitudes toward satisfaction with exchange of information, joint promotion, education and market research are the main reasons why these observed cluster members differ. The result of our study can be useful in formulating policies for the future cluster development programmes in Croatia

Business · Cluster analysis · Croatian · Multivariate analysis · Multivariate statistics · Political science · Computer Science · Economic Growth and Productivity · Global Trade and Competitiveness · Regional Development and Policy · Artificial Intelligence

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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