Главная страница » Публикации » 2014 » #1 (37) » Models of knowledge management in Russian institutions: social and psychological analysis

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


Нестик Тимофей Александрович
Россия, Высшая школа международного бизнеса РАНХиГС, Институт психологии РАН


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.

Рекомендуемая ссылка

Нестик Тимофей Александрович. Models of knowledge management in Russian institutions: social and psychological analysis // Современные технологии управления. ISSN 2226-9339. — #1 (37). Номер статьи: 3705. Дата публикации: 08.01.2014. Режим доступа: https://sovman.ru/en/article/3705/


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



Suggested citation

Nestik Timofei Aleksandrovich. // Modern Management Technology. ISSN 2226-9339. — #1 (37). Art. #  3705. Date issued: 08.01.2014. Available at: https://sovman.ru/en/article/3705/

Print Friendly, PDF & Email

Читайте также

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.

Leave a Reply

Your email address will not be published. Required fields are marked *

Shopping Cart
Scroll to Top