Научные исследования экономического факультета. Электронный журнал.

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A110ANCEAC100CMSCOVID-19COVID-19.Clusters as a Mechanisms of Governance Discrete Structural AlternativeD210D230D240D330D43Digital economyDynaCont-IIEconomic Policy KnotsFamily Violence against Women in Modern RussiaH110K130K21K23K32L11L190L290L310L41L51Market Development and Political EconomyModeling of Development Indicators for Russian Energy Resources MarketsN700O19O330O340O43Opening Address of the Editor-in-ChiefQ330Q51Q55Q56Q57Q58Relevant Aspects of Determination of Efficiency and Effectiveness of Marketing DepartmentSQLScientific Research of Faculty of Economics. Electronic Journal. 2020. Volume 12.Scientific Research of Faculty of Economics. Electronic Journal. 2021.Volume 13Scientific researches of faculty of economics. Electronic journal.Site newsSpecific of Mergers and Acquisitions in Russian Federation. Management ApproachUTFagri-food exportantitrust policyartificial intelligencebig databrand position-ingbrand valueclustercompany’s strategycompetition policyconscious consumptiondmoeconomic growtheconomic theoryeffectivenessefficiencyenvironmental economicsethical consumptionexchange rateexport restrictionsfamily violencefiscal policygendergeneration Ygeneration Z.hybridinflationinstitutional arrangementslabor marketmachine learningmarket concentration.market developmentmarketing budgetmonetary policynational economic modelpolitical economyprojectsquotationregulationregulatory impact assessmentsocio-demographic characteristicstariff regulationtaxi services marketантимонопольная политикаинтеллектуальный капиталискусственный интеллектмашинное обучениеметодологияполитическая экономияцифровая экономика20092010

Yuliya M. Polyakova Human Resource Management Based on Modern Crowd Technologies: Crowd Staffing, Crowd Recruiting and Crowd Training


The rapidly changing conditions of the struggle for talented personnel in the context of mass digitalization require a revision of the methods of personnel management in modern organizations. The aim of the study is to determine the role of crowd-technologies in increasing the efficiency of search, selection and development of personnel in Russian organizations, as well as to develop a system of criteria and indicators for assessing the effectiveness of this type technologies. The scientific works of domestic and foreign scientists, reports of international organizations, the Ministry of Economic Development of the Russian Federation, companies specializing in crowd-technologies were studied. The work used the methods of induction, comparative analysis, benchmarking of the best foreign and Russian practices of using crow- technologies in the field of HR-management and the method of conceptual and methodological modeling. The research conducted by the author made it possible to identify the socio-economic effects of the use of crowd staffing and crowd recruiting in the field of personnel search and selection, crowd training as a method of training employees, and also to propose a number of criteria and indicators for assessing the effectiveness of using these technologies in order to make effective decisions by management personnel.

Key words: HR-management, search and selection of personnel, personnel development, crowd-technologies, crowdsourcing, crowd recruiting, crowd staffing, crowd training.

JEL codes: J 630, M 120, O 390.

Yuliya M. Polyakova Human Resource Management Based on Modern Crowd Technologies: Crowd Staffing, Crowd Recruiting and Crowd Training // Scientific Research of Faculty of Economics. Electronic Journal. 2020. Volume 12. Issue 3. P. 16-30