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Evidence for the network perspective on organizational learning

Author

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  • Marko Pahor
  • Miha Škerlavaj
  • Vlado Dimovski

Abstract

This article provides evidence for the network perspective on organizational learning in the cases of two companies of different size, industry, and culture. It builds on an earlier article that introduced the network perspective on organizational learning, and proposes some common traits of learning networks and tests them with the help of the tools of social‐network analysis. We find support for the network perspective on organizational learning. There are some traits of the learning network that are common to very different companies, such as the fact that learning occurs mainly in clusters. Some other traits depend much on the organizational culture.

Suggested Citation

  • Marko Pahor & Miha Škerlavaj & Vlado Dimovski, 2008. "Evidence for the network perspective on organizational learning," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(12), pages 1985-1994, October.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:12:p:1985-1994
    DOI: 10.1002/asi.20912
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    Cited by:

    1. Carol X. J. Ou & Robert M. Davison, 2016. "Shaping guanxi networks at work through instant messaging," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1153-1168, May.
    2. Marjan Cugmas & Anuška Ferligoj & Miha Škerlavaj & Aleš Žiberna, 2021. "Global structures and local network mechanisms of knowledge-flow networks," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-23, February.
    3. Shan Jiang & Hsinchun Chen, 2019. "Examining patterns of scientific knowledge diffusion based on knowledge cyber infrastructure: a multi-dimensional network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1599-1617, December.
    4. Zhechao (Charles) Liu & Nima Kordzadeh & Yoris A. Au & Jan G. Clark, 2012. "Investigating the Reciprocal Relationships Within Health Virtual Communities," Working Papers 0007, College of Business, University of Texas at San Antonio.
    5. Hitomu Kotani & Muneta Yokomatsu, 2019. "Quantitative evaluation of the roles of community events and artifacts for social network formation: a multilayer network model of a community of practice," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 428-463, December.
    6. Atif Ahmad & Kevin C. Desouza & Sean B. Maynard & Humza Naseer & Richard L. Baskerville, 2020. "How integration of cyber security management and incident response enables organizational learning," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 939-953, August.

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