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dc.contributor.authorPopov, E. V.en
dc.contributor.authorVlasov, M. V.en
dc.contributor.authorShishkina, A. Yu.en
dc.contributor.authorYakimova, A. V.en
dc.date.accessioned2017-05-03T06:19:33Z-
dc.date.available2017-05-03T06:19:33Z-
dc.date.issued2016-
dc.identifier.citationInstitutional Analysis of Resource Potential for Knowledge Generation in the Enterprises of the Regional Defense-Industrial Sector / E. V. Popov, M. V. Vlasov, A. Yu. Shishkina, A. V. Yakimova // R-Economy. — 2016. — Vol. 2, Iss. 3. — P. 314-323.en
dc.identifier.issn2412-0731-
dc.identifier.urihttp://elar.urfu.ru/handle/10995/47041-
dc.description.abstractThis article discusses the processes of knowledge generation in the enterprises of the military-industrial sector that are the leaders of innovation in the region. The purpose of the study is to develop a methodology based on using the resource potential to improve the efficiency of knowledge generation in the instrument-making enterprises of the military-industrial sector. The authors conducted a system analysis of knowledge generation in one of the enterprises of the military-industrial sector that led to the conclusion on the chaotic character of knowledge generation in such enterprises and its insufficient provision with institutions. The authors proposed a method for designing a knowledge generation system in the enterprises of the regional military-industrial sector by taking into account the means and capabilities of the enterprise in the implementation of intellectual activities. The developed method is based on defining the horizontal resource potential of knowledge generation and allows to determine the potential use of resources at each stage of the product lifecycle. The comparison of actual and theoretical values of horizontal resource potential will allow to adjust the allocation of share held by each of the resources within the stage, and thereby optimize the implementation of tasks at a particular stage. The proposed tools were tested in 2015 in one of the enterprises of the regional military-industrial sector. The methodological tools used in this study include such methods as the expert assessment, mathematical statistics and institutional analysis. The proposed methodology and empirical results have been used as a basis to develop the institutional spiral of knowledge generation during the performance of state order in the enterprises of the military-industrial sector, the implementation of which will help to reduce the level of uncertainty throughout the entire lifecycle of innovative product. The developed institutional spiral of knowledge generation in the instrument-making enterprises of the military-industrial sector involves the provision of incentives for knowledge generation at each stage of the product lifecycle. The results of this study can be used to build the diagram of knowledge generation and apply the procedures for increasing the efficiency of knowledge generation in the enterprises of the military-industrial sector.en
dc.description.sponsorshipThe research has been supported by the Grant of the President of the Russian Federation MD-5743.2016.6 "The Impact of Socio-Cultural Factors on the Institutional Development of the Regional Innovation System."en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherУральский федеральный университетru
dc.relation.ispartofR-Economy. 2016. Vol. 2. Iss. 3en
dc.subjectINSTITUTIONAL ECONOMICSen
dc.subjectKNOWLEDGE GENERATIONen
dc.subjectINNOVATIONen
dc.subjectMETHODOLOGICAL TOOLSen
dc.subjectMILITARY-INDUSTRIAL SECTORen
dc.subjectSTATE-OWNED ENTERPRISESen
dc.subjectRESOURCE POTENTIALen
dc.subjectINSTITUTIONAL SPIRALen
dc.subjectPRODUCT LIFECYCLEen
dc.subjectSTATE ORDERen
dc.titleInstitutional Analysis of Resource Potential for Knowledge Generation in the Enterprises of the Regional Defense-Industrial Sectoren
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsihttps://elibrary.ru/item.asp?id=29100648-
dc.identifier.doi10.15826/recon.2016.2.3.028-
local.description.firstpage314-
local.description.lastpage323-
local.issue3-
local.volume2-
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