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­­­Innovation Activities of the Innovation Process Actors Monitoring Project

Priority areas of development: economics

A specialised complex monitoring of the innovation process actors’ behaviour is a high-potential tool for surveying and analyzing the key trends, forms and factors of the national innovation system (NIS) development on the micro-level. In recent years its efficiency was approved by international practices and respective studies carried out by HSE.

Research objective

The goal of the “Innovation Activities of the Innovation Process Actors Monitoring” project planned for 2011-2014 is to carry out empirical studies of innovation activity in Russia, including activities of economic agents in the course of creation, dissemination and application of knowledge, using new sources of information. The objective for 2013 was to conduct a second-round survey of innovation activities performed by research organisations.

Empirical base of research

The monitoring of innovation activities of R&D organisations was based on results of statistical surveys of Russian R&D organizations (Federal statistical survey by official standards “2-science” and “2-science (NTK); results of 2010-2013 surveys of R&D organisations’ innovation activity; methodological and analytical materials published in the framework of surveys implemented by ROSSTAT and foreign/international statistical services.

The study of innovation activities performed by enterprises in manufacturing and services sectors was based on methodological, analytical and reference materials, published in the framework of EMS project; methodological manuals for national EMS survey in Germany; official statistical standard “4-Innovation”; results of 2009-2012 surveys of enterprises’ innovation activities.

Research results

In the course of the study of innovation activities performed by R&D organisations (particularly, technology transfer activity), a second-round survey was carried out using a modified design (in response to data faults found in the first-round dataset). Methods for cross-time (between two rounds of R&D organisations survey) and cross-sample (between R&D organisations and enterprises datasets) comparisons were developed, tested and approved. Considering problem-oriented analysis tasks, new international practices of public research organisations selection were adopted. This methodology was implemented to carry out research into knowledge transfer in the Russian public R&D sphere and formulate relevant policy-making recommendations. The results include classification and description of key innovation behavior strategies in R&D; factors influencing the choice of particular strategies and their efficiency; estimation of implications of S&T and innovation policy tools on the strategy level; comprehensive policy recommendations.

Regarding the study of innovation activities performed by enterprises in manufacturing and services sectors, the results were developed around a deeper analysis of previously obtained data within several problem-oriented research topics. Among them are functions and roles of innovation in the context of competitive strategies of enterprises, participation of enterprises in technology exchange activities, and innovation cooperation between enterprises and research organisations. Furthermore, methodological recommendations were made to improve and expand the analysis tools in these directions.

Implementation of results:

• Complete and approved set of methodological tools for the surveying and analysis of R&D organisations’ innovation behavior strategies on a micro-level;

• Comprehensive toolkit (including models and indicators) with a potential to use it as a new method for evaluating Russian S&T and innovation policy initiatives;

• Analytical and inquiry materials for the Russian Government bodies engaged in design, implementation and coordination of public S&T and innovation policies.

Field of application

The results of monitoring provide a detailed in-depth description of multiple aspects of innovation actors’ activities. These data and analytical information are expected to be of great interest for sectoral governance bodies and large companies (including public ones), especially in such aspects as:

• evaluation of factors hampering scientific knowledge creation, transfer and application;

• scoping the structure and quality of technologies transferring from research organisations into the real sector;

• mapping the sectoral structure of technology streams and nodes;

• defining the knowledge transfer strategies of various actors in the framework of the national innovation system.


Kuznetsova T., Roud V., Bredikhin S. V. The collaboration activities in the innovation system of Russia / Университет Барселоны. Series WP4 "SEARCH Working Paper". 2013. No. WP4/24. 
Miles I. D. Public Service Innovation: What messages from the collision of Innovation Studies and Services Research?, in: Handbook of Innovation and Change in Public Services.: Cheltenham, 2013. С. 72-88. 
Gokhberg L. Indicators for Science, Technology and Innovation on the Crossroad to Foresight, in: Science, Technology and Innovation Policy for the Future — Potentials and Limits of Foresight Studies. Dordrecht : Springer, 2013. С. 257-288.