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One central assumption of the model was empirically tested and put into practice in one small\u2010scale KM project.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p><jats:italic>The concepts in KM can be linked to concepts from psychology and thus receive theoretical support. The developed model enables psychometric access to a part of non\u2010explicit knowledge through structural assessment techniques. Furthermore, the model has proven to be of value in a practical application in KM.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p><jats:italic>The experiment and the practical application are too small in scope to provide full support for the model. Further research is required.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p><jats:italic>A fraction of non\u2010explicit knowledge can be measured with structural assessment techniques. This can be used in the quantitative evaluation of KM projects as these techniques allow the quantification of individual knowledge increase. Furthermore, a detailed analysis of individual project\u2010relevant knowledge is useful for post\u2010project analysis.<\/jats:italic><\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p><jats:italic>The paper integrates findings from several scientific fields for use in KM and presents a novel view of classic KM concepts. 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