2015
DOI: 10.1177/1063293x15592185
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Modelling knowledge transfer: A knowledge dynamics perspective

Abstract: International audienceThe increasing complexity in design activities leads designers to collaborate and share knowledge within distributedteams. This makes designers use systems such as knowledge management systems to reach their goal. In this article, ouraim is to investigate on improving the use of knowledge management systems by defining a framework for modellingknowledge transfer in such context. The proposed framework is partly based on reuse of existing models found in theliterature and on a participant … Show more

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Cited by 14 publications
(10 citation statements)
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“…Transforming is seen differently between KT scholars. Mougin et al (2015) proposed that, to become a knowledge object, the knowledge should be interpretable by a third party that did not participate in its construction. Frank and Ribeiro (2014) defined three activities that we consider to be transforming.…”
Section: Transforming Knowledgementioning
confidence: 99%
“…Transforming is seen differently between KT scholars. Mougin et al (2015) proposed that, to become a knowledge object, the knowledge should be interpretable by a third party that did not participate in its construction. Frank and Ribeiro (2014) defined three activities that we consider to be transforming.…”
Section: Transforming Knowledgementioning
confidence: 99%
“…The increasing complexity in design process of multidisciplinary systems requires designers to collaborate and share knowledge within different disciplines (Mougin et al, 2015). In order to solve the problems caused by the disciplinary inconsistencies and to achieve the concurrent design process, some multidisciplinary design methodologies have been proposed.…”
Section: Related Workmentioning
confidence: 99%
“…Some studies investigate the role of knowledge characteristics (such as ambiguity) in knowledge transfer (Birkinshaw et al, 2002). Some studies focus on the organizational characteristics, such as knowledge decentralization and engineers' absorptive capacity (Mougin et al, 2015). Trust between engineers and their cultural background also become a focus of knowledge transfer (Lane et al, 2001).…”
Section: Mechanismmentioning
confidence: 99%