Designing a competitive advantage model for the Iranian electricity market

Document Type : Original Article

Authors

1 PhD student in Business Management, payame Noor University (PNU), P.O. Box 19395-4697 Tehran, Iran

2 Assistant Professor, Department of Business Management, payame Noor University (PNU), P.O. Box 19395-4697 Tehran, Iran

Abstract

The purpose of this study is to design a model of competitive advantage in the electricity market. The research method is descriptive and survey type. After classifying the indicators, the structural relationships of the model were tested. The results showed that the values of model fit indices are appropriate. The results of the final structural equation model of competitive advantage in the electricity market showed that competitive resources with a coefficient of 0.71 on competitive intelligence and a regression coefficient of 0.80 had a significant effect on strategic entrepreneurship, but with a regression coefficient of 0.13 had no significant effect on competitive advantage. Competitive intelligence factor with a regression coefficient of 0.60 had a significant effect on competitive advantage, but with a regression coefficient of 0.095 had no significant effect on strategic entrepreneurship. The strategic entrepreneurship factor with a regression coefficient of 0.34 had a significant effect on competitive advantage. In general, the factor of competitive resources as an independent variable through the mediating role of competitive intelligence (0.426) and strategic entrepreneurship (0.272) had an effect on competitive advantage. Accordingly, the creation of competitive advantage through competitive sources could be explained by the mediating role and equation of competitive intelligence and strategic entrepreneurship. In general, based on the final model, it can be said that competitive resources alone do not create a competitive advantage, and only through competitive intelligence and strategic entrepreneurship can resources be considered competitive intelligence for the electricity market.

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