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

Business Administration, Innovations Management

Авторы

Нестик Тимофей Александрович
Россия, Высшая школа международного бизнеса РАНХиГС, Институт психологии РАН
nestik@gmail.com

Аннотация

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/

Authors

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
nestik@gmail.com

Abstract

Keywords

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/

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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.

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