Volume 13 Number 1 Year - 2019

Number of articles: 14



PROVIDING A COMPREHENSIVE MODEL TO MEASURE THE PERFORMANCE DIMENSIONS OF INDUSTRIAL CLUSTERS USING THE HYBRID APPROACH OF Q-FACTOR ANALYSIS AND CLUSTER ANALYSIS

Authors: Reza Yadegari, Kamaleddin Rahmani, Farzin Modarres Khiyabani

Abstract: One of the most important development strategies with the emphasis on small and medium industries is the geographical concentration of production units and the formation of cluster. The industrial cluster is a globally economic phenomenon that has been proposed as a modern model for economic development. Theoretically, an industrial cluster can strengthen specialized sectors and facilitate industrial cooperation. The aim of this study was to provide a comprehensive model for measuring the performance dimensions of industrial clusters in Markazi province using a hybrid approach of Q-factor analysis and cluster analysis. For this purpose, at first and in the first phase of the research, 41 effective factors in the clustering of the performance dimensions of the statistical population were identified with the study of previous research and the use of Q-factor analysis, and in the second phase, a model for comprehensive performance measurement of industrial clusters was presented using cluster analysis in R software. The results of the study indicated that industrial clusters in Markazi province have four financial, competitive, economic and environmental performance dimensions.

Keywords: Performance Dimensions, Industrial Clusters, Q-factor Analysis, Cluster Analysis

DOI: 10.24874/IJQR13.01-14

Article info: pp. 235-248

Recieved: 21.06.2018  Accepted: 10.10.2018  UDC: 711.454   Downloads: 34


Volume 13 (2019)

  • Volume 12 (2018)

  • Volume 11 (2017)

  • Volume 10 (2016)

  • Volume 9 (2015)

  • Volume 8 (2014)

  • Volume 7 (2013)

  • Volume 6 (2012)

  • Volume 5 (2011)

  • Volume 4 (2010)

  • Volume 3 (2009)

  • Volume 2 (2008)

  • Volume 1 (2007)

  • List of authors and titles