No room for mistakes: The impact of the social unconscious on organizational learning in kazakhstan

Indira Kjellstrand, Russ Vince

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

The aim of this paper is to add to existing work on the theme of power, emotion, and organizational learning. The study was undertaken in Kazakhstan, where tensions between old and new regimes provide an environment that is rich in emotion and power/politics; and offer an opportunity to study the interplay between emotion and power during individual and organizational attempts to learn. The social unconscious is used as a conceptual frame to identify underlying dynamics that impact on organizational learning. The empirical study illustrates a social fantasy concerning the fear of mistakes and its consequences. This fantasy is sustained through blaming and punishing the people who make mistakes, and through feelings of internalised embarrassment and guilt that are enacted through interpersonal relations of shaming and being ashamed. Our contribution to knowledge arises from employing a concept (social unconscious) that has not been used to study organizational learning within a social and organizational context for organizational learning (Kazakhstan) that has not yet been studied. The practical purpose of this paper is to improve our knowledge of the social and political context of organizational learning in post-Soviet Kazakhstan through understanding unconscious dynamics that both inform and undermine attempts to learn.

Original languageEnglish
Article number27
Pages (from-to)27
JournalAdministrative Sciences
Volume7
Issue number3
Early online date3 Aug 2017
DOIs
Publication statusPublished - 3 Aug 2017

Bibliographical note

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Emotions
  • Kazakhstan
  • Mistakes
  • Organizational learning
  • Power
  • The social unconscious

ASJC Scopus subject areas

  • General Business,Management and Accounting

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