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On Collective Intelligence pp 107–119Cite as

Collective Intelligence in Teams – Practical Approaches to Develop Transactive Memory

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Part of the Advances in Intelligent and Soft Computing book series (AINSC,volume 76)

Abstract

The socio-cognitive approach to teamwork has gained a lot of attention recently. Especially the concept of transactive memory (i.e., knowledge about each other’s knowledge) has been fruitfully applied to the team level. First, we extend the concept of transactive memory by considering a wider range of interpersonal aspects (e.g., personal traits, external relations, background knowledge). Second, we delineate practical approaches to develop transactive memory quickly. We distinguish between two training sequences: knowledge disclosure and knowledge updating. Whereas cross-training is an appropriate training approach at the beginning of teamwork, we refer to the after action review as an effective tool to update knowledge about each other in ongoing teamwork activities. Finally, open questions are discussed.

Keywords

  • transactive memory
  • cross-training
  • after action review

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Author information

Authors and Affiliations

  1. Institut für Organisation und Führung, Technische Universität Braunschweig, Abt-Jerusalem-Str. 4, 38106, Braunschweig

    Michael W. Busch & Dietrich von der Oelsnitz

Authors
  1. Michael W. Busch
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  2. Dietrich von der Oelsnitz
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Editor information

Editors and Affiliations

  1. Faculty of Cultural and Social Sciences, FernUniversität in Hagen, Universitätsstrasse 11, 58097, Hagen, Germany

    Theo J. Bastiaens

  2. Faculty of Economics, FernUniversität in Hagen, Universitätsstrasse 41, 58097, Hagen, Germany

    Ulrike Baumöl

  3. Faculty of Mathematics and Computer Science, FernUniversität in Hagen, Universitätsstrasse 27, 58097, Hagen, Germany

    Bernd J. Krämer

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Busch, M.W., von der Oelsnitz, D. (2010). Collective Intelligence in Teams – Practical Approaches to Develop Transactive Memory. In: Bastiaens, T.J., Baumöl, U., Krämer, B.J. (eds) On Collective Intelligence. Advances in Intelligent and Soft Computing, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14481-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-14481-3_9

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