Designing an investment policy model for competitiveness in the steel industry with a comprehensive interpretive-structural modeling approach

One of the factors that can affect the improvement of competitive advantage in the steel industry is the explanation of effective policies to accelerate the attraction of investment. This research has been done with a mixed approach of qualitative and quantitative. In the qualitative part, the investment policy factors were extracted by content analysis method and selected by the expert panel of experts by fuzzy Delphi method. In the quantitative part, the model was formed with a comprehensive interpretive-structural modeling approach. Data were obtained in the qualitative part using semi-structured interviews and in the quantitative part through the pairwise comparison questionnaire. The research population consisted of experts including senior managers of the steel industry and 20 people were selected by purposive non-probabilistic sampling method and snowball technique. The results of the qualitative section showed that the factors of investment policy for competitiveness are in 14 categories, which based on the findings of comprehensive interpretive-structural modeling, the factors of "government rules and regulations", "establishment of standards in industry", "competitive strategy" "Industry", "industry financial structure", and "investment policy" can increase a higher level of competitive advantage for the steel industry, which highlights the importance of macro policies. On the other hand, investment policies for "knowledge management", "research and development", "marketing capabilities", and "risk management" are subject to macro-factors of investment policies that lead to competitive advantage. To be.