
Tacit knowledge, which is based on individual experience and intuition, is important to operational performance in the manufacturing industry. However, this type of knowledge is difficult to articulate, capture, or systematically transfer. One of the aims of Manufacturing Academy 2.0 project, co-led by Tampere University of Applied Sciences and SASKY Municipal Education and Training Consortium, is to support manufacturing companies in developing their own strategies for recognizing, retaining, and transferring tacit knowledge. This paper explores how tacit knowledge transfer is currently practiced in Finnish manufacturing companies and how these practices relate to the SECI model of knowledge creation. The study is based on 163 company interviews conducted during industry fairs, follow-up company visits, and a co-creation workshop with stakeholders from education and industry. Results show that while tacit knowledge is widely acknowledged as important, companies vary significantly in how systematically they approach its transfer. Socialization and internalization phases are the most established, while externalization and combination remain underdeveloped.
Workforce Training, Tacit Knowledge, Manufacturing Industry, Knowledge Transfer
Workforce Training, Tacit Knowledge, Manufacturing Industry, Knowledge Transfer
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
