DOI

The study explores the opportunities of implementation knowledge management tools in the development and assessment of employees in high tech industries in Russia. The main issues that authors explore are revealed on the base of the personnel audit in such sectors as nanoelectronics, nanophotonics, and nanopolymers. These issues include the choice of the technology that identifies what qualifications miss in the context of companies' business processes; the analysis of the labor market (fluctuations of salaries, the concept of job status, expectations towards employers, the link between demand and supply, the dynamics of the ratio of CVs and vacancies, the rating of employers' requests); the determination of the employee market value; the setting for professional standards; the analysis of qualification assessment systems applied in the sector; the organization of independent qualifications assessment; the organization of a network expert community. The case study of Komsomolskaya Pravda Plant, one of the oldest Russian plastics processing companies, is implemented, and the development of the advanced training is proposed as the solution of key problems.

Original languageEnglish
Title of host publicationProceedings of the 20th European Conference on Knowledge Management, ECKM 2019
EditorsEduardo Tome, Francisco Cesario, Raquel Reis Soares
PublisherAcademic Conferences and Publishing International Limited
Pages1023-1032
Number of pages10
ISBN (Electronic)9781912764327
DOIs
StatePublished - 2019
Event20th European Conference on Knowledge Management, ECKM 2019 - Lisbon, Portugal
Duration: 5 Sep 20196 Sep 2019

Publication series

NameProceedings of the European Conference on Knowledge Management, ECKM
Volume2
ISSN (Print)2048-8963
ISSN (Electronic)2048-8971

Conference

Conference20th European Conference on Knowledge Management, ECKM 2019
Country/TerritoryPortugal
CityLisbon
Period5/09/196/09/19

    Research areas

  • Competence development, Competence model, Knowledge management

    Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research

ID: 99666060