title: Identification of social and economic factors of human capital development in HRM
metadata.name: dc.contributor.author
metadata.value: Lazareva, E. I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Gavrilova, Yu. V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-08-28T19:25:02Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-08-28T19:25:02Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Lazareva E. I., Gavrilova Yu. V. 2023. Identification of social and economic factors of human capital development in HRM. Russian Management Journal 21 (1): 89–114. https://doi.org/10.21638/spbu18.2023.105 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu18.2023.105
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/43929
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Goal: to rank the socio-economic factors of extension of human capital. Research methodology:
  the conceptual dominant of the research methodology is the statement about the possibility of
  considering human capital as a multi-parameter socio-resource component of the vector of sustainable
  innovative development of a modern organization. The validity of this statement is
  illustrated by the solving the poorly structured task of identifying the determinants of a decrease
  in the unemployment rate (one of the key parametric characteristics of human capital) that is
  relevant using a system of interrelated methods of system analysis and econometric modeling.
  Findings: evidence of the possibility of using expert-econometric tools for a comprehensive
  multifactorial assessment of the variation in the parametric characteristics of humancapital and
  the choice on its basis of priority areas for its development (increment); identification and ranking
  of statistically significant factors that determine the main vectors of the strategic policy for
  the development of human capital. Originality and contribution of the authors: this study
  substantiates the algorithm for systemic expert-econometric analysis of the determinants of
  human capital growth using the TOPSIS method, which has demonstrated effectiveness in terms
  of completeness, objectivity and clarity of the results of multi-criteria assessment in a complex
  system of managing the human resource component of sustainable innovation economic trends.
  Using the results of the study to analyze the causes of fluctuations in the unemployment rate
  and identify (rank) the most significant of them will help increase the sustainability of human
  capital development management.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Russian Management Journal;Volume 21; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: human resource management
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: human capital
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: unemployment rate
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: factors
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: strategy
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: expert- econometric model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: TOPSIS method
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Identification of social and economic factors of human capital development in HRM
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 05.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/43929/1/05.pdf
resources.format: Adobe PDF
resources.size: 2,19 MB