Presenting a model of internationalization of entrepreneurial family businesses in Iran

Subject Areas : business management

naser moghadas nikoo ¹ ( Department of Management and Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran. )
hadi sanaeepour ² ( Department of Management, Faculty of Humanities, Gonbad Kavous University, Gonbad Kavous, Iran. )
Roohalla samiee ³ ( Department of Management and Accounting, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran. )
Abdul Hossein Karampour ⁴ ( Department of Management, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran. )

Received: 2021-03-17 Accepted : 2021-04-20 Published : 2021-12-22

Keywords: internationalization, Construction Industry, Entrepreneurial, Family Business,

Abstract :

The purpose of development-applied research, in terms of the type of relationships in the model. In the qualitative stage, 1 construction industry expert was selected based on snowball sampling method and to identify the main components and indices, questionnaire design and semi-structured interview model design and focus groups were discussed. Then the indices were identified and summarized in MAXQDA software by open and axial coding of the indices. Later on, the indices were approved by the experts finally using Delphi method, and the final framework of the model was formed using selective coding in the next stage. In the quantitative section, a questionnaire was developed using qualitative method results to validate the model, which had 64 indices and 11 components were distributed among 70 builders in Tehran and mass builders of the construction industry with family businesses active at international level and had entrepreneurship history. Data was analyzed using partial least squares regression (PLS). The most significant results were that the path coefficients between government support (0.242), effective strategy (0.223), competitive advantage (0.256) and market identification (0.497) with internationalization variables were confirmed at a significant level above 1.96.