This dissertation explores knowledge friction. The concept knowledge flow is defined by many researchers as the transfer of actionable information between individuals, groups and organizations. Knowledge Flow Theory (KFT) frames and offers tools for conceptualizing, analyzing, visualizing, and measuring knowledge flows. Recently, Nissen conceptualized explicitness-based resistance to knowledge transfer; he referred to it as knowledge friction. This study addresses additional factors that inhibit knowledge transfer through an empirical look at Defense Acquisition University student surveys. These factors are clarity, near and longer-term relevance, certification level, and experience. The data was analyzed through descriptive statistics, multiple-regression analysis models, and a Partial Least Squares Structural Equation Model. The key findings: Clarity and near-term and longer-term relevance are quantitatively the largest contributing knowledge friction factors. These new factors interact with, but are also additive, to explicitness. Also discovered: The certification level and experience factors independently contribute little directly, but do increase the impact of longer-term relevance on knowledge transfer. Near-term relevance's impact is not affected by certification level and experience. These findings significantly contribute to KFT by extending and quantifying the factors that contribute to knowledge friction.

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Civilian, Department of the Navy