Fatemeh Mojibian
Abstract
It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing ...
Read More
It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing solutions to improve, progress and development of clusters has always been a concern for researchers and specialists.The aim of this study is to provide a mechanism for pricing process of the product in this industrial-economic phenomenon; So that the structure of the proposed model is defined based on mechanisms and activities of the components of industrial clusters. The proposed pricing process is presented based on the concept of Stackelberg game theory and tariff pricing strategy, and in order to solve the model in production level of cluster, a meta-heuristic genetic algorithm is used. Finally, the performance and efficiency of the proposed model is studied in the form of a numerical example, and using the parameter tuning Taguchi method the optimal value of the model variables are presented. Based on the obtained results, the optimal wholesale price of cluster’s products are determined and each manufacturer select the appropriate tariff based on its optimal demand.
Seyed hadi Mirghaderi; Akbar Alam Tabriz; Hassan Farsigani,; Farhad Farzad
Volume 13, Issue 38 , October 2015, , Pages 1-25
Abstract
Industrial clusters are one of the new approaches in industrial development of developing countries which has recently attracted the attention of many researchers and policy makers.Clustering has positive economic effects on the region and also increase the competitiveness of the small and medium enterprises ...
Read More
Industrial clusters are one of the new approaches in industrial development of developing countries which has recently attracted the attention of many researchers and policy makers.Clustering has positive economic effects on the region and also increase the competitiveness of the small and medium enterprises (SMEs).But success level of all clusters is not the same because their performances are different. The subject of clusters performance has various aspects and contains a wide range of result areas. This is due to cross-organizational nature and complexity of the internal functions and external effects of cluster as a comprehensive model of industrial cluster performance dimensions have not been presented so far.Precise definition of performance dimensions can reduce (part view) which is based on point of view to clusters and also study of cluster development proceedings with comprehensive approach can be applicable. This study aims to identify the performance dimensions of industrial clusters by classifying the performance measures of industrial clusters and present a model for comprehensive evaluation of industrial clusters performance. For data analysis the method used in this study is cluster analysis which integrated the Classifications of 31 experts used heuristic method and based on that, four performance dimensions of industrial clusters including financial, competitive, economic and environmental along with components and measures of each were extracted.
Habibollah Salarzehi; Jasem Dejkam
Volume 9, Issue 24 , March 2012, , Pages 115-139
Abstract
Industrial clustering is of a great importance in almost every country throughout the world nowadays. In Iran, accordingly, there has been an increase in the tendency towards industrial clustering in the scientific and decision-making centers as well as the country’s development programs. The unavoidable ...
Read More
Industrial clustering is of a great importance in almost every country throughout the world nowadays. In Iran, accordingly, there has been an increase in the tendency towards industrial clustering in the scientific and decision-making centers as well as the country’s development programs. The unavoidable competitive necessity is the most important issue in clustering and cluster-related policies. In fact, competitiveness is the thermometer of assessing and measuring the success of clustering. The study is devoted to review of literature under “competitiveness”. Next, industrial clusters and competitiveness assessment models in clusters is brought under deeper consideration. Later, Chabahar Fishery’s industrial cluster in the GEM model framework along with its factors used for identifying influential factors in the competitiveness of industrial clusters reviewed is introduced. GEM model is reviewed and applied to identify the important factors on competitiveness in Chabahar Fishery’s industrial cluster. Due to the large number of factors involved, factor prioritization questionnaire s were provided and passed out among experts of the Chabahar Fishery’s Industrial Cluster. Then influential factors were identified and since some of the factors were interrelated, the relative importance of these influential factors was investigated using ANP technique. Here, the prioritization of these factors was done by Super Decision software and in the end based on the acquired results, there have been proposed some strategies for the purpose of increasing competitiveness in Chabahar Fishery’s industrial cluster.
