A Case of Obstructing Conditions in Knowledge Flow Dynamics
- Lina Lo, College of Engineering and Computing, Nova Southeastern University, Fort Lauderdale, Florida, United States
AbstractKnowledge flows unevenly throughout an organization and the problem is that the fundamental dynamics of these flows are still not well characterized in theoretical and computational models. This study built on existing work—knowledge-flow theory, need knowledge generation, and the critical success factors for enterprise resource planning implementation—to examine the multi-dimensional knowledge-flow phenomenon in context, and used the case study methodology for knowledge-flow theory building. The research question was two-pronged: how can need knowledge and its flow across stakeholders within an organization be explained using a multidimensional knowledge-flow model and how can Nissen’s five-dimensional knowledge-flow model be validated using a real-life immersion case? This case study suggests enabling need knowledge determinants and obstructing conditions are in play in determining the path of need knowledge flow. These two research artifacts should be considered together to provide a fresh research avenue towards better understanding of knowledge flow dynamics.
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