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Knowledge Transfer Quality Improvement - The Quality Enhancement of Knowledge Transfers in Product Engineering

Klippert, Monika 1; Stolpmann, Robert 1; Grum, Marcus; Thim, Christof; Gronau, Norbert; Albers, Albert 1
1 Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)

Abstract:

Developing a new product generation requires the transfer of knowledge among various knowledge carriers. Several factors influence knowledge transfer, e.g., the complexity of engineering tasks or the competence of employees, which can decrease the efficiency and effectiveness of knowledge transfers in product engineering. Hence, improving those knowledge transfers obtains great potential, especially against the backdrop of experienced employees leaving the company due to retirement, so far, research results show, that the knowledge transfer velocity can be raised by following the Knowledge Transfer Velocity Model and implementing so-called interventions in a product engineering context. In most cases, the implemented interventions have a positive effect on knowledge transfer speed improvement. In addition to that, initial theoretical findings describe factors influencing the quality of knowledge transfers and outline a setting to empirically investigate how the quality can be improved by introducing a general description of knowledge transfer reference situations and principles to measure the quality of knowledge artifacts. To assess the quality of knowledge transfers in a product engineering context, the Knowledge Transfer Quality Model (KTQM) is created, which serves as a basis to develop and implement quality-dependent interventions for different knowledge transfer situations. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161720
Veröffentlicht am 29.08.2023
Originalveröffentlichung
DOI: 10.1016/j.procir.2023.02.171
Scopus
Zitationen: 5
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktentwicklung (IPEK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000161720
Erschienen in Procedia CIRP
Verlag Elsevier
Band 119
Seiten 919–925
Nachgewiesen in Dimensions
Scopus
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