Innovation policy analysis and decision making: a systems approach

摘要: The construction industry is one of the largest and most diverse sectors with continuous development. momentum impact industry’s development highly influenced by a complex system different elements including innovation. However, sector relatively weak at all stages innovation process strength collaboration among government, academia insufficient. It generally accepted that companies invest less in new knowledge as well engage significantly related activities than firms other sectors. Hence, it very important to control manage significant factors affect success taking into account complexity inherent dynamics diffusion. By doing so, this study addresses decision making within employing step-by-step modelling consisting multi-stages analysis, stakeholder-based approaches. Construction closely connected national social structure various institutional actors interactions components and, consequently, can be presented sectoral system. overarching objective paper introduce systems approach aiming conceptualise formulate an initial simulation model representing correct between academia. Moreover, research underpins future scenariogenerating order reveal potential pathways rational decision-making along policy recommendations planning strategies improve performance Russian Federation. Innovation take forms result, not represented official statistics. Therefore, active stakeholder engagement required develop appropriate metrics build foundations for such dynamic model, given level complexity. As part participatory modelling, involves: (i) identification analysis; (ii) questionnaire-based survey face-to-face interviews; (iii) consultations academic professionals; (iv) opinion survey; (v) facilitated expert workshops. In words, involvement stakeholders essential requirement multi-actor nature under lack data involved. first stage aims identify barriers, enablers diffusion Russia. results suggest requires assistance support from government endure existing impediments current lacklustre rate next determines degree influence system’s have on each other. Then, structural analysis performed using MICMAC (Cross-Impact Matrix Multiplication Applied Classification) technique generate information about interconnections key variables. This effective building comprehensive conceptual followed ongoing development, integrating both qualitative quantitative highlights representatives, decision-makers need acknowledge accumulate capabilities whole achieve benefits high-level performance. One hypotheses describing problem study, centres how industry, collaborate effectively diffuse innovations throughout