تقی ترابی

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.

The economic aspects of technological advances in the drilling industry using the maximum reservoir contact (MRC) method compared to other drilling technologies have been investigated in this study. Field and survey methods from combined implementation research methods have been performed by a dynamic approach using Vensim software. Professors, drilling and reservoir engineering professionals in the oil and gas drilling industry, or equivalent positions, comprised the study’s statistical population. Finally, 120 individuals were chosen by nonprobabilistic sampling (judgment) and the snowball method. In the Vensim dynamic environment, the simulation completion time (based on the 2017 dynamics model) and the initial simulation time (based on the 2013 dynamics model) were adjusted to generate a flow diagram analyzing the economic aspects of technological improvements in this type of drilling industry. According to the causal tree results, the drilling industry’s performance has the highest priority among studies of economic aspects of technological changes in the drilling industry using the MRC method. It has a significant relationship with technological changes in the drilling industry. The sensitivity analysis chart demonstrated that with a change in the variable of indicators of the drilling industry at an average level of 5.25 to 5.5, the target variable, i.e., the performance of the drilling industry, had the least sensitivity and had no particular effect on it. On the other hand, by modifying the effectiveness of the drilling industry, effectiveness indicators at the average level of 6.95, the target variable had the maximum sensitivity and had a very significant effect on it.

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.

Due to the dynamic nature of technology, capabilities related to production technologies that have been created for manufacturing new and unique products are constantly changing. Therefore it is essential to monitor the processes and techniques used to understand whether the production of a product fits future circumstances. Leaders of organizations must decide when to switch to a new technology, to maintain and increase competitive advantages. In such conditions, evaluating the maturity of the considered technologies is essential. This article with a conclusive view at various factors affecting the maturity of technology, examines the structuring of the factors affecting the aforementioned maturity. This model is based on Interpretive Structural Modelling (ISM) methodology. The ISM approach enables groups and individuals to identify complex relationships among a multitude of elements in a complex decision-making situation; and it works as a tool for organizing and directing complexities of relationships between variables. This technique starts with identifying variables that are related to the issue, then the contextual relations between the variables are determined using the knowledge and experience of the experts; finally, the multilevel structural model is formed.