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A Fuzzy Graph-Based Model for Selecting Knowledge Management Tools in Innovation Processes

Author

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  • Kouroush Jenab

    (Society of Reliability Engineering (SRE)-Ottawa, Canada)

  • Ahmad R. Sarfaraz

    (California State University, Northridge, USA)

Abstract

The evolution of organization, management, and production processes is moving towards more complexity every day. An improvement of the performance by the recovery and reuse of resources can be reached by going beyond traditional boundaries and by enforcing an external relationship system. Using fuzzy conflict resolution technique and management objectives, this paper develops a graph-based model to select the most appropriate set of Knowledge Management (KM) tools to support the innovation processes in organizations. The model not only resolves the conflict of experts’ opinion but also aggregates the multi-layer graph corresponding to decision criteria into a single graph. This graph is used to evaluate the KM tools. It also suggests conditions for the improvement of knowledge management in different types of knowledge-based inter-organizational collaborations. An illustrative example is demonstrated to present the application of the model.

Suggested Citation

  • Kouroush Jenab & Ahmad R. Sarfaraz, 2012. "A Fuzzy Graph-Based Model for Selecting Knowledge Management Tools in Innovation Processes," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 8(1), pages 1-16, January.
    • Handle: RePEc:igg:jeis00:v:8:y:2012:i:1:p:1-16
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