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Virtuality and Virtualization pp 231–249Cite as

Learning Triggers in Virtual Groups

The Case of the Apache Web Server

  • Conference paper

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Part of the IFIP International Federation for Information Processing book series (IFIPAICT,volume 236)

Abstract

Learning is a critical capability for virtual group effectiveness. The objective of this study is to understand when learning occurs. Once we understand when learning occurs we are better able to stimulate learning to enhance the effectiveness of virtual groups. Additionally, understanding the nature of learning triggers and the results they produce informs how we may achieve desired learning outcomes. This study develops a framework to explain, and empirically studies, when learning occurs in virtual groups. The study employed a single, embedded, qualitative case study designed to study learning triggers in an Open Source Software project. Findings suggest that learning occurs ensuing learning triggers. Learning triggers vary in type and source. The type and source of learning triggers effects whether learning occurs in the group and the type of learning outcomes the trigger produces.

Keywords

  • Open Source Software
  • Virtual Team
  • External Trigger
  • Global Software Development
  • Shared Mental Model

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. The Information School, University of Washington, Box 352840, Seattle, WA, 98195-2840

    Hala Annabi

Authors
  1. Hala Annabi
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Editor information

Editors and Affiliations

  1. School of Information Studies, Syracuse University, USA

    Kevin Crowston

  2. IESE, Business School, University of Navarra, Spain

    Sandra Sieber

  3. Intel Corporation, USA

    Eleanor Wynn

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© 2007 International Federation for Information Processing

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Annabi, H. (2007). Learning Triggers in Virtual Groups. In: Crowston, K., Sieber, S., Wynn, E. (eds) Virtuality and Virtualization. IFIP International Federation for Information Processing, vol 236. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73025-7_17

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  • DOI: https://doi.org/10.1007/978-0-387-73025-7_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-73024-0

  • Online ISBN: 978-0-387-73025-7

  • eBook Packages: Computer ScienceComputer Science (R0)