Designing a Fuzzy Cognition Map Model of Factors Affecting Science, Technology and Innovation Policy-Making in Yazd Science and Technology Corridor

Abstract

Policy, science, and innovation policy indicators are important to provide the information needed to support evidence-based policy, as well as to provide effective monitoring and evaluation capabilities for policies. Also, due to the great complexity of the system of science, technology and innovation, designing a comprehensive model for policy-making in this area is one of the major concerns of policy makers and decision makers. The main purpose of this study is to design a linking model between the factors affecting the appropriate policy-making of the phenomenon of science, technology and innovation, as well as how the factors affect. By comprehensively reviewing the research background, a conceptual framework was extracted from the effective and shaping factors of science, technology and innovation policy. The current status and importance of these factors were questioned using a 56-item questionnaire. Using the data obtained from the questionnaire and SPSS software, Pearson simple correlation matrix was extracted and used as input of FCMapper software. Then, by entering the output of FCMapper software in Pajek software, a fuzzy cognitive map is drawn. According to the obtained results, the employment factor in the field of policy-making was identified as the most important factor among other factors. Finally, the most important forward and backward scenarios for science, technology and innovation policy-making in the science and technology corridor of Yazd province are examined.

Keywords

• science
• technology and innovation policy
• yazd science and technology corridor
• fuzzy cognitive map
• scenario