Presentation of Structural Equation Model for Sustainable Development of Business Cluster in Iran based on the Strengthen of Export Position

Document Type : Original Article

Authors

1 Ph.D. in Industrial Management, Faculty of Management, University of Tehran, Iran

2 Assistant Professor, College of Farabi, University of Tehran, Iran

3 Assistant Professor of Industrial Management, Imam Khomeini International University (IKIU), Qazvin, Iran

Abstract

Sustainable development of business cluster is one of the most effective approaches to developing small and medium industries. In our country, there is not a comprehensive model of sustainable business cluster development. This is despite the fact that many successful experiences in the development of clusters have been achieved that, while fitting with the native conditions and the business environment in our country, has led to sustainable development in various clusters. Therefore, the present research seeks to provide a model for the sustainable development of business clusters by applying the theory of data base and modeling of structural equations. In order to collect the required data, 18 of the development perpetrators were interviewed. The sampling method was theoretical sampling method. Following the coding steps, the final model of the research was obtained. The model derived from the Fundamentals Data Theory Method was tested using structured equation method to model the model in other clusters and ensure its reliability. The scrolling results of the model illustrate the complete validation of the model derived from the data theory method. The results of the research show that in order to develop sustainable business clusters, a systematic and comprehensive view should be taken that the model presented in this study, while having a systematic and comprehensive approach, will be successful in developing the resulting clusters. It is tailored to the business environment and conditions in our country and a native and functional model.

Keywords

References

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History

  • Receive Date: 06 May 2019
  • Revise Date: 13 July 2019
  • Accept Date: 16 July 2019

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