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dc.contributor.authorTarasyev, A. A.en
dc.contributor.authorAgarkov, G. A.en
dc.contributor.authorSushchenko, A. D.en
dc.contributor.authorTarasyev, A. M.en
dc.date.accessioned2024-04-22T15:52:53Z-
dc.date.available2024-04-22T15:52:53Z-
dc.date.issued2022-
dc.identifier.citationTarasyev, AA, Agarkov, GA, Sushchenko, AD & Tarasyev, AM 2022, 'Dynamic Modeling of Professional Mobility in the Context of Labor Market Precarization', IFAC-PapersOnLine, Том. 55, № 16, стр. 388-393. https://doi.org/10.1016/j.ifacol.2022.09.055harvard_pure
dc.identifier.citationTarasyev, A. A., Agarkov, G. A., Sushchenko, A. D., & Tarasyev, A. M. (2022). Dynamic Modeling of Professional Mobility in the Context of Labor Market Precarization. IFAC-PapersOnLine, 55(16), 388-393. https://doi.org/10.1016/j.ifacol.2022.09.055apa_pure
dc.identifier.issn2405-8963
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Bronze Open Access3
dc.identifier.otherhttps://doi.org/10.1016/j.ifacol.2022.09.0551
dc.identifier.otherhttps://doi.org/10.1016/j.ifacol.2022.09.055pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132364-
dc.description.abstractThe pandemic has become a catalyst for the inevitable process of digitalization of communications, significantly changing the organization and technology of professional activity around the world. There has been a radical change in labor market trends due to the digital transformation of the economy, changes in the unemployment rate, the transition of professional groups to the remote work format due to the external need for isolation to minimize the spread of Covid-19. The uncertainty of the labor market development conditions, as well as changes in the unemployment rate among the young subset of employable population, cause the emergence of various forms of unstable employment. The presence of high social risks, the need to develop mechanisms to increase the level of protection of the population, ensuring the growth of youth welfare and the formation of an energy saving policy aimed, inter alia, at the innovative development of the labor economy, determine the relevance of developing a set of models for predicting precarization of the labor market. To describe the dynamics of the labor market development, we constructed a model for assessing the risks for young professionals from key sectors of the economy who enter the precariat during the pandemic. Based on the provisions of the theory of positional games and behavioral economics, we have developed a multifactorial dynamic model for predicting professional mobility and precarization of the labor market, considering the fulfillment of Nash equilibrium conditions. The model allows you to track and predict the professional mobility of qualified youth depending on the intensity of the labor market, wage levels and the degree of digital maturity of companies in the region. Copyright © 2022 The Authors.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIFAC-PapersOnLine2
dc.sourceIFAC-PapersOnLineen
dc.subjectBEHAVIORAL ECONOMICSen
dc.subjectDYNAMIC GAMESen
dc.subjectDYNAMIC MODELen
dc.subjectLABOR MARKETen
dc.subjectLABOR PRECARIZATION.en
dc.subjectOPTIMAL CONTROLen
dc.subjectOPTIMIZATIONen
dc.subjectPROFESSIONAL MOBILITYen
dc.subjectPROFESSIONAL TRAJECTORIESen
dc.subjectCOMMERCEen
dc.subjectENERGY CONSERVATIONen
dc.subjectFORECASTINGen
dc.subjectPOPULATION STATISTICSen
dc.subjectPROFESSIONAL ASPECTSen
dc.subjectRISK ASSESSMENTen
dc.subjectBEHAVIORAL ECONOMICSen
dc.subjectDYNAMIC GAMEen
dc.subjectDYNAMICS MODELSen
dc.subjectLABOR PRECARIZATION.en
dc.subjectLABOUR MARKETen
dc.subjectOPTIMAL CONTROLSen
dc.subjectOPTIMISATIONSen
dc.subjectPROFESSIONAL MOBILITYen
dc.subjectPROFESSIONAL TRAJECTORYen
dc.subjectUNEMPLOYMENT RATESen
dc.subjectEMPLOYMENTen
dc.titleDynamic Modeling of Professional Mobility in the Context of Labor Market Precarizationen
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name18 July 2022 through 22 July 2022en
dc.conference.date18th IFAC Workshop on Control Applications of Optimization, CAO 2022
dc.identifier.doi10.1016/j.ifacol.2022.09.055-
dc.identifier.scopus85142239766-
local.contributor.employeeTarasyev A.A., Ural Federal University Named after the First President of Russia B.N. Yeltsin, Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeAgarkov G.A., Ural Federal University Named after the First President of Russia B.N. Yeltsin, Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeSushchenko A.D., Ural Federal University Named after the First President of Russia B.N. Yeltsin, Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeTarasyev A.M., Krasovskii Institute of Mathematics and Mechanics of Ural Branch of RAS, S. Kovalevskaya Street, 16, Yekaterinburg, 620108, Russian Federationen
local.description.firstpage388
local.description.lastpage393
local.issue16
local.volume55
dc.identifier.wos000855235100064-
local.contributor.departmentUral Federal University Named after the First President of Russia B.N. Yeltsin, Mira 19, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentKrasovskii Institute of Mathematics and Mechanics of Ural Branch of RAS, S. Kovalevskaya Street, 16, Yekaterinburg, 620108, Russian Federationen
local.identifier.pure3ec5bf41-0920-427b-b047-b9731eeaaa09uuid
local.identifier.pure30943293-
local.identifier.eid2-s2.0-85142239766-
local.identifier.wosWOS:000855235100064-
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