2. Research objective:
3. Empirical base of the research:
The study was carried out using methodological, analytical and reference materials, published in the framework of the EMS project; methodological manuals for a national EMS survey in Germany; official statistical standard “4-Innovation”; results of 2009-2010 surveys of innovation in enterprises.
We monitored the innovation activities of R&D organizations on the basis of the results of statistical surveys of Russian R&D organizations (the Federal statistical survey by official standards “2-science” and “2-science (NTK); results of 2010-2011 surveys of R&D organisations’ innovation activity; methodological and analytical materials published in the framework of other ROSSTAT surveys and surveys implemented by foreign statistics gathering services.
- We conducted a third-round survey based on a modified set of methods and tools with reference to recent trends and recommendations from OECD and EUROSTAT on innovation statistics, innovation activity surveying, and micro-data analysis. The attainment of comparability with EMS standards on the indicator level, and inclusion of all functional stages of production processes into analysis were important results for our study in 2012. The modified methodology has contributed to a significant improvement of the data quality in the 2012 survey and allowed us to simplify analytical comparisons with both EMS data and the results of Russian Federal statistics surveys.
- In the course of the study of innovation in R&D organisations (particularly in technology transfer) we applied a modified methodology, oriented towards a more systemic analysis of R&D organisations’ functions as suppliers, consumers and initiators of innovation services. At the same time we employed a complex theoretical and methodological approach to identify, describe and analyse types (modes) of R&D organisations’ innovation behaviour. This provided analytical hypotheses on forms and channels of interaction between science and the real sector of economy in the framework of the NIS processes. These became the basis for an in-depth analysis and systematisation of the 2011 survey data. The results include classification and description of key innovation behaviour strategies in R&D; factors influencing the choice of particular strategies and their efficiency; estimation of the implications of S&T and innovation policy tools on the strategy level; comprehensive policy recommendations.
- methodological tools for analysis of R&D organisations’ innovation strategies on a micro-level and their implementation;
- development of a toolkit (including models and indicators) with the potential for using new evidence to evaluate Russian S&T and innovation policy initiatives;
- development of analytical, legislative and inquiry materials for the Russian Government and regional authorities.
- Miles Ian D., Professor, Head of the Laboratory for Economics of Innovation (HSE), Professor of Technological Innovation and Social Change, Manchester Buisiness Scool, Manchester University.
- European Manufacturing Survey Working Party (16 countries involved), coordinated by Fraunhofer Institute for Systems and Innovation Research.
- Member organizations of Joint research project on cooperation potential in science and innovation (University of Hohenheim, Centre of Science Statistics, Germany)