This article offers an approach to formalization of the main components of innovative activities of research organizations, taking into account the following: internal and external environmental impact parameters, knowledge accumulation-and-obsolescence character, new technologies application, governmental provision of incentives to increase the research organizations' innovative activities. The system of indicators to measure the efficiency and innovativeness of research organizations and their subdivisions. The authors show a new model of evaluation of the efficiency and level of innovative activities under the market competition conditions. The model conforms to the existing hierarchical multicriterion technique of quality evaluation in the terms of uncertainty.
Keywords: innovation, formalization of indicators, research organizations, evaluation of efficiency and level of innovative activities, model, hierarchical multicriterion technique of quality evaluation
References:
Bendikov M.A., Khrustalev O.E. Some financial aspects of the implementation of scientific and industrial policy [Nekotorye finansovye aspekty realizatsii nauchno-promyshlennoi politiki], Finansy i kredit – Finance and Credit, 2007, no. 15.
These statistical office of the European Union, Availa-ble at: Link.
Larin S.N., Zhiliakova E.V. Ways to improve the mechanisms for independent experts -testing and financial support of the action research [Puti sover-shenstvovaniia mekhanizmov nezavisimoi ekspertizy i finansovoi podderzhki initsiativ-nykh nauchnykh issledovanii], Natsional'nye interesy: prioritety i bezopasnost' – Na-tional interests: priorities and security, 2011, no. 35.
Larin S.N., Zhilia-kova E.V. Organizational structures and forms of integration of science and business as a factor stimulating innovation at the regional level [Organizatsionnye struktury i inte-gratsionnye formy nauki i biznesa kak faktor stimulirovaniia innovatsionnoi deiatel'nosti na regional'nom urovne], Natsional'nye interesy: prioritety i bezopasnost' – National interests: priorities and security, 2012, no. 19.
Larin S.N., Zhiliakova E.V. The system of indicators to assess the effectiveness of the activities of the re-search organizations [Formalizatsiia sostavliaiushchikh innovatsionnoi deiatel'nosti i ra-zrabotka obobshchennoi modeli vzaimodeistviia ee uchastnikov], Actual problems of science: proceedings of the VIII International scientific-practical conference, Moscow: Sputnik, 2013. 192 p.
Larin S.N., Zhiliakova E.V. Modelling the interac-tion of innovators [Modelirovanie vzaimodeistviia uchastnikov innovatsionnoi deia-tel'nosti], Ekonomicheskii analiz: teoriia i praktika – Economic analysis: theory and practice, 2013, no. 11.
Larin S.N., Lazareva L.Iu., Ostrovskii S.M. Formalized model of multi-criteria evaluation methods and the effectiveness of innova-tion scientific organizations [Formalizovannaia model' i metodika mnogokriterial'noi ot-senki effektivnosti innovatsionnoi deiatel'nosti nauchnykh organizatsii], Innovations in Science: proceedings of the XVIII International extramural scientific-practical confe-rence, Novosibirsk: SibAK, 2013, 148 p.
Levin V.I. New generalization of operations on fuzzy sets [Novoe obobshchenie operatsii nad nechetkimi mnozhestva-mi], Izvestiia Akademii Nauk. Teoriia i sistemy upravleniia – Proceedings of the Academy of Sciences. Computer and Systems, 2001, no. 1.
Evaluating the effectiveness of scientific, technological and innovation [Otsenka effektivnosti nauchnoi, nauchno-tekhnicheskoi i innovatsionnoi deiatel'nosti], ed. L.F. Shaibakova, M.A. Rozhkova, Yekaterinburg: USUE, 2007.
Russia by the Numbers – 2013 [Rossiia v tsifrakh – 2013]: statistical collection, Available at: Link.
Rotshtein A.P., Shtovba S.D. Fuzzy multi-criteria analysis of options with the application of paired comparisons [Nechetkii mnogokriterial'nyi analiz variantov s primeneniem parnykh sravnenii], Izvestiia Akademii Nauk. Teoriia i sistemy upravleniia – Proceedings of the Academy of Sciences. Computer and Systems, 2001, no. 3.
Rudtskaia E.R., Khrustalev E.Iu., Tsyganov S.A. Russian Foundation for Basic Research and innovation development in Russia [Rossiiskii fond fundamen-tal'nykh issledovanii i innovatsionnoe razvitie ekonomiki Rossii], Ekonomicheskaia nauka sovremennoi Rossii – Economics of contemporary Russia, 2007, no. 2.
Rudtskaia E.R., Khrustalev E.Iu., Tsyganov S.A. Methods accumula-tion of scientific knowledge for innovative development of the Russian economy (RFBR experience) [Metody nakopleniia nauchnogo znaniia dlia innovatsionnogo razvitiia ros-siiskoi ekonomiki, opyt RFFI], Problemy prognozirovaniia – Problems of forecast-ing, 2009, no. 3.
Stebeniaeva T.V., Zhiliakova E.V. Analysis of the existing methodologies for assessing the effectiveness of research activities [Analiz sush-chestvuiushchikh metodicheskikh podkhodov k otsenke effektivnosti nauchnoi deia-tel'nosti], Science and Present – 2013: compendium of XX International Scientific and Practical Conference, ed. S.S. Chernoff. Novosibirsk: SIBPRINT, 2013. 301 p.
Tikhonov I.P., Petrovskii A.B. Basic research focused on the bottom line: approaches to evaluating the effectiveness [Fundamental'nye issledovaniia, orienti-rovannye na prakticheskii rezul'tat: podkhody k otsenke effektivnosti], Vestnik Ros-siiskoi akademii nauk – Bulletin of the Russian Academy of Sciences, 2009, vol. 79, no. 1.
Tikhonov I.P., Khrustalev E.Iu. An effective mechanism for the results of basic science in the innovation process [Effektivnyi mekhanizm rezul'tatov fundamental'noi nauki v innovatsionnom protsesse], Ekonomicheskaia nauka sovre-mennoi Rossii – Economics of contemporary Russia, 2006, no. 3.
Khrustalev E.Iu., Larin S.N. Use of information resources and tech-nology to promote innovative development of economy [Ispol'zovanie informatsionnykh resursov i tekhnologii dlia stimulirovaniia innovatsionnogo razvitiia ekonomiki], Natsional'nye interesy: prioritety i bezopasnost' – National interests: priorities and security, 2011, no. 32.
Khrustalev E.Iu., Khrustalev O.E. Model study of innovative development of high-tech sectors of the Russian economy [Mod-el'noe obosnovanie innovatsionnogo razvitiia naukoemkogo sektora rossiiskoi ekonomiki], Ekonomicheskii analiz: teoriia i praktika – Economic analysis: theory and prac-tice, 2013, no. 9.
Bellman R., Zadeh L.A. Decision – makingin fuzzy invironment, Management Science. 1970, vol. 17, pp. 141–164.
