حمید دولابی

Special attention to the relative advantages of the economy is the best way toward economic development of the country. The chemical sector, due to the country's advantage, owing to its considerable natural oil and gas resources, high variety of products, technology and market, has a significant charm and scope for technological innovation and development. Nowadays, the country's political and economic status has created opportunities for chemicals, but Existing policies have merely increased scientific research articles and in practice it has not cause to technological innovation (Patent). The first step in the policies for this sector, understanding the factors that influence firms to technology innovation. Therefore, the purpose of this study is to analyze of factors affecting the management of technological innovation in the chemical industry to provide solutions. In this paper, the factors, were investigated by using verification factor analysis and structural equations. Then, the relative importance of each factor was determined based on the Fuzzy BWM method. The results of the present study indicated that, R&D ability, R&D efforts, Sustainable Profitability With the most votes and low-risk chemical synthesis, less chemical waste science and technology diplomacy were ranked last.

Special attention to the relative advantages of the economy is the best way toward economic development in every country. Owing to its considerable natural oil and gas resources, Iran has a high potential for the development of these industries. In the value chain process of these God-given resources, a wide diversity of final downstream petrochemical products has a significant charm and scope for technological innovation and development. In the absence of a systematic perspective, all the planning and costs in this field will fail. Therefore, the purpose of this study is to design and analyze the dynamic model of technological innovation management in petrochemical downstream industries in Iran. A questionnaire was designed by analyzing the research literature and the opinions of the experts; then, the factors were investigated using verification factor analysis and structural equations with Smart PLS; the final 26 indicators were categorized in four domains including firm, industry, national, and international. Next, using system thinking and Vensim PLE 6.4, the technology innovation management structure was designed in the downstream industries. The behavior of key variables was also predicted for a 7-year time horizon. Finally, it was used to formulate the technology innovation management scenario.