Designing a Model of Science and Technology Policy Making based on Economic Complexity Approach

What is certain is that the attention paid to the policies of science and technology is mostly due to its economical consequences. Although science and technology plays a fundamental role in the success of societies, experience shows that without having a roadmap and policymaking for science and technology, achieving competitive advantage in the intense global competitive atmosphere is basically impossible. Science and technology policymaking is considered successful whenever its output in the market is able to compete. The objective of the current study is obtaining a model for science and technology policymaking based on the approach of economic complexity. In order to reach this objective, the data based theorization approach has been used. The instrument of the study is in-depth and semi-structured interviews. The participants of this study consisted of 18 journalists and opinion holders familiar with the subject of this study who have been chosen through the snowball and theoretical approach. In order to analyze the data, the continuous comparison approach is used in three stages of open, linear, and selective coding. The advantage of the current study in comparison to previous studies is the comprehensiveness and practicality of the model, which simultaneously pays attention to most of the effective factors of science and technology policymaking based on the economical complexity approach. A complete picture of Causal Conditions, core category or phenomenon, context conditions, intervening conditions, strategies, and the consequences related to the title of the study is also presented, which can be used as a suitable template for science and technology policymaking.