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An analytical theory of knowledge behaviour in networks

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  • Swart, Juani
  • Powell, John

Abstract

To date OR has no means of modelling, and therefore predicting the behaviour of knowledge in a system. Such knowledge bearing systems are ubiquitous, and include social networking structures (of increasing importance in politics and in marketing) and more conventional organisational structures (such as communities of practice). Taking into account the critical nature of knowledge production and dissemination as strategic issues for firms, this is a serious gap in our capability.

Suggested Citation

  • Swart, Juani & Powell, John, 2012. "An analytical theory of knowledge behaviour in networks," European Journal of Operational Research, Elsevier, vol. 223(3), pages 807-817.
    • Handle: RePEc:eee:ejores:v:223:y:2012:i:3:p:807-817
    DOI: 10.1016/j.ejor.2012.05.016
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    References listed on IDEAS

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    Cited by:

    1. Nissen, Mark E., 2019. "Initiating a system for visualizing and measuring dynamic knowledge," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 169-181.
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    3. Spanellis, Agnessa & MacBryde, Jillian & Dӧrfler, Viktor, 2021. "A dynamic model of knowledge management in innovative technology companies: A case from the energy sector," European Journal of Operational Research, Elsevier, vol. 292(2), pages 784-797.

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