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IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD

Published online by Cambridge University Press:  19 June 2023

Monika Klippert*
Affiliation:
Karlsruhe Institute of Technology (KIT);
Luisa Schäfer
Affiliation:
Karlsruhe Institute of Technology (KIT);
Jörg Böllhoff
Affiliation:
Protektorwerk Florenz Maisch GmbH & Co KG
Heiner Willerscheid
Affiliation:
Protektorwerk Florenz Maisch GmbH & Co KG
Simon Rapp
Affiliation:
Karlsruhe Institute of Technology (KIT);
Albert Albers
Affiliation:
Karlsruhe Institute of Technology (KIT);
*
Klippert, Monika, Karlsruhe Institute of Technology (KIT), Germany, monika.klippert@kit.edu

Abstract

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In the development and production of new products, interdepartmental knowledge transfer is essential. Successful knowledge transfer faces several challenges, such as a lack of willingness to transfer knowledge or an inappropriate selection of tools. These can lead to the reduction of efficiency and effectiveness of knowledge transfers. Therefore, the InKTI – Interdepartmental Knowledge Transfer Improvement Method is developed to support the improvement (in terms of speed and quality) of knowledge transfers, particularly in product and production engineering.

This paper presents the first validation of the InKTI Method through a field study at the company Protektorwerk Florenz Maisch GmbH & Co. KG, which is a leading European company in the construction industry, to support the successful knowledge transfer into practice. Therefore, the research need is pointed out, and a concept for validation is developed and implemented. Afterward, the InKTI Method is evaluated based on its success, support as well as applicability.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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