Determinants of effective knowledge tra​nsfer from academic researchers to industry practitioners

Dynamic Robustness of Semantic-Based Collaborative Knowledge Network of Open Source Project

“…The OSC makes use of public knowledge and creativity to enable a large number of participants to share, suggest, evaluate, and improve knowledge with other participants through the Internet [40][41][42]. The collaborative behavior of designers includes:…”

“…The OSC makes use of public knowledge and creativity to enable a large number of participants to share, suggest, evaluate, and improve knowledge with other participants through the Internet [ 40 , 41 , 42 ]. The collaborative behavior of designers includes: (1) knowledge-level behavior, which is measured by the content of the collaboration between designers; and (2) non-knowledge-level socialized behavior, which is represented by the frequency of the collaboration.…”

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“…The central barrier could be due to the reality that academic-generated knowledge is commonly too esoteric for industrial consumption. Moreover, the research-generated decision support model and tools are more complex in comparison to practical models and tools [1]. Therefore, it is difficult for the industry players to understand the technicalities of academic-generated knowledge.…”

“…Disseminating new knowledge for the creation of technology or system improvement in the industry is challenging as the trajectories of knowledge transmission from researchers to practitioners are fuzzy and non-linear [1] [2]. Such research-practice problem which necessitate further understanding was highlighted in the past studies, e.g.…”

“…Case specific problems encountered by practitioners are more complex in reality as they are not bounded by solutions offered by academicians which in many instances are conceived based on assumptions. These assumptions renders most solutions impractical [1].…”