Models of knowledge management in Russian institutions: social and psychological analysis


Russia, Higher School of International business of Russian Academy of public economy and state service, Institute of Psychology of Russian Academy of Sciences


The paper presents socio-psychological analysis of five knowledge management models used in Russian institutions: knowledge management in projects, virtual expert groups, competence centers, knowledge management via organization development and open innovations. Special attention is given to the consequences of transition to network-based knowledge management.

Ключевые слова

social psychology of knowledge, knowledge management psychology; crowdsourcing; organization learning; group dynamics; social influence.

Print Friendly, PDF & Email

Категории статьи:

Read also

Статья также доступна (this article also available):

Рекомендуемая ссылка

Nestik Timofei Aleksandrovich
Models of knowledge management in Russian institutions: social and psychological analysis// Современные технологии управления. ISSN 2226-9339. – #1 (37). Номер статьи: 3705. Дата публикации: . Режим доступа:

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.

Библиографический список

  1. Zhuravlev A.L., Nestik T.A. Management Psychology joint activities: New directions of research [Psikhologiya upravleniya sovmestnoy deyatel’nost’yu: Novye napravleniya issledovaniy]. M.: Institut psikhologii RAN, 2010.
  2. Nestik T.A. Psychological aspects of knowledge management [Psikhologicheskie aspekty upravleniya znaniyami]. Innovatsionnoe razvitie. Ekonomika, intellektual’nye resursy, upravlenie znaniyami. Ed. B.Z. Mil’nera. M.: INFRA-M, 2009. pp. 590-611.
  3. Almirall E., Casadesus–Masanell R. Open versus closed innovation: a model of discovery and divergence // Academy of Management Review. 2010. V. 35, Issue 1. R. 27–47.
  4. Brabham D.C. Motivations for Participation in a Crowdsourcing Application to Improve Public Engagement in Transit Planning // Journal of Applied Communication Research. 2012. Vol. 40. Issue 3. P. 307-328.
  5. Gast A., Zanini M. The social side of strategy // McKinsey Quarterly. 2012. Issue 2. P. 82-93.
  6. Haichao Zh, Dahui L., Wenhua H. Task Design, Motivation, and Participation in Crowdsourcing Contests // International Journal of Electronic Commerce. 2011. Vol. 15. Issue 4. P. 57-88.
  7. Hansen M.T., Nohria N., Tierney T. What’s your strategy for managing knowledge? // Harvard Business Review. 1999. Vol. 77, Iss. 2. P. 106-117.
  8. Howe J. The Rise of Crowdsourcing // Wired, 2006. Issue 14.06, June.
  9. Lever- aging crowdsourcing: Activation-supporting components for IT-based ideas competition / Leimeister J. M., Huber M., Bretschneider U., Krcmar H. // Journal of management Information Systems. 2009. Vol. 26, Iss. 1. P. 197-224.
  10. How social influence can undermine the wisdom of crowd effect / Lorenz J., Rauhut H., Schweitzer F., Helbing D. // Proceedings of the National Academy of Sciences of the United States of America. 2011. Vol. 108. Iss. 22. P. 9020-9025.
  11. Roman D. Crowdsourcing and the Question of ExpertiseCommunications of the ACM. 2009. Vol. 52. No. 12. P. 14.
  12. Intuitive Biases in Choice versus Estimation: Implications for the Wisdom of Crowds / Simmons J.P.., Nelson L.D., Galak J., Frederick Sh. // Journal of Consumer Research. 2011. Vol. 38. Iss. 1. P. 1-15.