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  • Monitoring of the behavior of the innovation process participants: scientific organizations and highly qualified R&D personnel

Monitoring of the behavior of the innovation process participants: scientific organizations and highly qualified R&D personnel

Priority areas of development: economics, sociology
2017
The project has been carried out as part of the HSE Program of Fundamental Studies.

Goal of research

The project aims to develop empirical studies empirical research in the domain of behavior of particular actors of the innovation process. The objective for 2017 is to develop and conduct surveys of research organizations and highly qualified R&D personnel.

Methodology

The survey of research organizations is based on random sample representative by federal districts. The inventory is designed in accordance with Russian and international standards of STI statistics. The survey is formalized by the questionnaire addressed to heads (top managers) of research organizations. The methodology of R&D personnel survey is based on recommendations of international project “Careers of Doctorate Holders (CDH)” and extended by a set of indicators for complex estimation of potential of the Russian highly qualified R&D personnel. The inventory is compatible with indicators of other Russian and international monitoring surveys of S&T and engineering personnel.

Empirical base of research

The randomized sample for the survey of research organizations is designed on the basis of data on the general population of Russian organizations carrying out research and development as a main activity with exclusion of higher education institutions, institutes of the Russian Academy of Sciences carrying out basic research only, and institutions operating in the domain of national defense. The sample size amounts for 500 observations. The survey of R&D personnel is based on multistage stratified sample with quota representation by a number of characteristics: region (federal district); type of host organization; gender and age of respondents; academic degree, research specialization. The sample size is 2060 respondents with academic degrees (candidate of sciences, doctor of sciences, PhD).

Results of research

  • In terms of theory the outcomes from the survey of R&D organizations contribute to actualized empirical base compatible with widely discussed on the international level theoretical background and analytical tasks related with STI. The survey of R&D personnel provides as an outcome the model of the sample population of highly qualified human resources in R&D.
  • In terms of methodology the survey of research organizations contributes to development of complex detailed methodological base (including methodological specifications, statistical inventory, data analysis methods, etc.). Main approaches are being elaborated around analysis of activity and factors of participation of R&D organizations in technology transfer, as well as external determinants such as public STI policies. In the framework of the survey of highly qualified R&D personnel the methodological part of the survey programme was improved and developed (validation of sample population characteristics, correction of data collection methods, modification of data processing and analysis procedures, list of input and output variables, etc.); the system of indicators for complex estimation of R&D personnel competences was finalized.
  • In terms of new empirical knowledge the survey of research organizations enabled further extension of biennially repeated (since 2009) datasets keeping backward compatibility by main indicators and introducing new data of current interest. The quality of empirical outcomes was improved by more precise and analysis-friendly specification and detailing of certain complex characteristics, as well as by more comprehensive data processing procedures. Survey of highly qualified R&D personnel continuously supplements the series of monitoring surveys carried out by HSE research teams adding up-to-date data on employment and mobility of R&D labor force; the data collected in 2017 are to actualize the information about human resources for knowledge economy, and to formulate justified recommendations on further development of public STI policies.

Level of implementation,  recommendations on implementation or outcomes of the implementation of the results

  • One of the key applied outcomes from the surveys of research organizations and highly qualified R&D personnel carried out in 2017 is actualization of the evidence base for public STI policies in corresponding directions and integration of respective policy advise into practice, particularly, concerning the issues of innovation and human resource potential of the Russian S&T system. Furthermore, the outcomes are to be applied as an information base for systematization and actualization of acknowledged (inter alia on the international level) research approaches and practices in the domain of STI; for the purpose of supplementing statistical data obtained on the basis of forms of federal statistical observation.
  • The outcomes from both surveys formalized as descriptive statistics, data analysis outputs, analytical conclusions, etc. are implemented as a basis for scientific publications in Scopus- and WoS-indexed journals, as well as reports and presentations at international scientific events. These results are also addressed to external institutions and official bodies, including the Ministry for Education and Science of the Russian Federation, Ministry for Economic Development of the Russian Federation, Administration of the President of the Russian Federation, Office of the Government of the Russian Federation and others. On the international level the outcomes enable further collaboration with OECD Directorate for Science, Technology and Innovation (DSTI OECD) and OECD project on Careers of Doctorate Holders (CDH OECD).

Publications:


Волкова Г. Л. Мотивация выбора профессиональной деятельности в сфере исследований и разработок // В кн.: Современные проблемы и перспективные направления инновационного развития науки. Уфа : Аэтерна, 2018. С. 307-311.
Современные проблемы и перспективные направления инновационного развития науки. Уфа : Аэтерна, 2018.
Katchanov Y. L., Markova Y. V. The “space of physics journals”: topological structure and the Journal Impact Factor // Scientometrics. 2017. Vol. 113. No. 1. P. 313-333. doi
Shmatko N. A., Lavrynenko A. S., Meissner D. Communicating company culture: assessment through job advertisements analysis / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2017. No. 74.
Gokhberg L., Meissner D., Shmatko N. A. Myths and Realities of Highly Qualified Labor and What It Means for PhDs // Journal of the Knowledge Economy. 2017. Vol. 8. No. 2. P. 758-767. doi