Tacit knowledge can be measured using explicit performance indicators and elicitation methods.
Is it true that Tacit knowledge can be measured using explicit performance indicators and elicitation methods?
Yes. Evidence from multiple studies confirms that tacit knowledge can be effectively elicited and measured using structured performance indicators, motion analysis, and elicitation methods.
Verdict: SUPPORTED · 4 sources for, 0 against · Last checked
The retrieved papers provide robust support for the claim. Studies specifically demonstrate how tacit knowledge can be identified, made explicit, and evaluated using performance indicators, machine learning, motion sequence elicitation, and structured frameworks. No papers refute the claim.
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Hadjimichael, D., Ribeiro, R., & Tsoukas, H. (2024). How Does Embodiment Enable the Acquisition of Tacit Knowledge in Organizations? From Polanyi to Merleau-Ponty. doi.org. https://doi.org/10.1177/01708406241228374
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Guo, G. & Hu, J. (2025). Making tacit knowledge explicit: Generative AI's role in enhancing apprenticeship systems. doi.org. https://doi.org/10.1177/18724981251397523
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Guerra-Zubiaga, D. A. (2017). Tacit Knowledge Elicitation Techniques Applied to Complex Manufacturing Processes. doi.org. https://doi.org/10.1115/imece2017-71897
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C, W., M, Z., & SAS, Z. (2025). Cross-modal deep learning enhanced mixed reality accelerates construction skill transfer from experts to students.. doi.org. https://doi.org/10.1038/s41598-025-17656-0
What does the evidence say?
The retrieved papers provide robust support for the claim. Studies specifically demonstrate how tacit knowledge can be identified, made explicit, and evaluated using performance indicators, machine learning, motion sequence elicitation, and structured frameworks. No papers refute the claim.
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