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Long lost: the emotional side of identification—complementing SIT with psychoanalytic insights
Linnaeus University, School of Business and Economics, Department of Marketing.
2017 (English)In: Journal of management inquiry, ISSN 1056-4926, E-ISSN 1552-6542, Vol. 26, no 1, p. 3-16Article in journal (Refereed) Published
Abstract [en]

In this essay, I aim to complement social identity theory (SIT) concepts of identification with insights from psychoanalysis to address three problematic aspects: (a) SIT emphasizes cognition and often neglects emotions, (b) emotions—if mentioned —are primarily positive, and (c) SIT-based concepts can be used to inspire simplified ideas of identification management. I argue that psychoanalytic insights can help us attend to these problematic aspects and help us advance our understanding of identification in organizations: they add an emotional focus on identification that can better explain strong relationships than a cognitive focus alone; they add the full range of emotions (positive to negative), which means that identification can also go along with negative emotions; and they also add a distinction between identification and narcissistic attachments that involve different motivations, dynamics, and predictive potentials. I illustrate these points in an example from Pratt and highlight implications for future research.

Place, publisher, year, edition, pages
Sage Publications, 2017. Vol. 26, no 1, p. 3-16
Keywords [en]
Identification, Social identity theory, Psychoanalysis, Emotions, Narcissistic attachment, Ambivalence
National Category
Business Administration
Research subject
Economy, Business administration
Identifiers
URN: urn:nbn:se:lnu:diva-56540DOI: 10.1177/1056492616646453ISI: 000389590300001OAI: oai:DiVA.org:lnu-56540DiVA, id: diva2:971309
Available from: 2016-09-16 Created: 2016-09-16 Last updated: 2017-11-21Bibliographically approved

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Müller, Monika

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  • apa
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf