title: Influence of personal characteristics of talents on voluntary dismissal: The case of Sheremetyevo international airport.
metadata.name: dc.contributor.author
metadata.value: Volchenko, Tatiana V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2022-09-13T16:57:22Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2022-09-13T16:57:22Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Volchenko T. V. 2022. Influence of personal characteristics of talents on voluntary dismissal: The case of Sheremetyevo international airport. Vestnik of Saint Petersburg University. Management 21 (2): 214–236.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: http://doi.org/10.21638/11701/spbu08.2022.203
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/37750
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article discusses the use of personal characteristics of talented employees in assessing the
  likelihood of their voluntary turnover. Despite a growing number of publications on talent management
  issues, most of the works focus on studying institutional conditions or corporate management
  practices. At the same time, a scant attention is paid to the peculiarities of talented employees’
  labor behavior, including a critical problem for organizations in talent management —
  voluntary turnover. The paper aims to investigate the influence of the personal characteristics
  of talented employees on their decision to resign voluntarily. The theoretical part of the work is
  based on the model of an objective view on understanding qualified employees as those who have
  a particular set of characteristics that can determine their behavior regardless of the organizational
  context. In addition to the main socio-demographic and professional aspects of talents, the
  work uses non-cognitive personality parameters described by the “Big Five” model. The empirical
  part of the study is based on the data from a survey of 180 employees which was included in
  the talent management program of Sheremetyevo Airport. The results confirmed the influence
  of socio-demographic and non-cognitive characteristics on the likelihood of talented employees’
  voluntary turnover. Also, some of the parameters, in contrast to the previous studies, have the
  opposite effect, and talent management programs do not retain talented employees. Despite its
  novelty, the conclusions of the work are limited because the empirical data was obtained from
  one though a heterogeneous company by its labor characteristics and the research was conducted
  during the crisis of 2020. The extension of the sample along with the set of non-cognitive traits
  can serve as a direction for further studies.
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: Vestnik of St Petersburg University. Management;Volume 21; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: talent management
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: labor behavior
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: noncognitive skills
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: personal characteristics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: voluntary turnover
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: “Big five” model
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Influence of personal characteristics of talents on voluntary dismissal: The case of Sheremetyevo international airport.
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 909.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/37750/1/909.pdf
resources.format: Adobe PDF
resources.size: 2,04 MB