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<titleInfo><title>Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence</title></titleInfo>


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<name type="personal">
  <namePart type="given">Johanna</namePart>
  <namePart type="family">Mansheim</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">98210</identifier></name>
<name type="personal">
  <namePart type="given">Iris</namePart>
  <namePart type="family">Gräßler</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">47565</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-5765-971X</description></name>
<name type="personal">
  <namePart type="given">Jan Niklas</namePart>
  <namePart type="family">Pfeifer</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">62841</identifier></name>



<name type="personal"><namePart type="given">Iris</namePart><namePart type="family">Graessler</namePart>
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  <namePart>International Symposium on Hybrid Intelligence in Product and Production Engineering 1. 2026 Paderborn</namePart>
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<abstract lang="eng">Tacit knowledge is particularly valuable in product engineering. Experiences reside in minds of employees and are not systematically documented but could have a significant influence on sustainable product engineering. Existing approaches do not offer sufficient support for harnessing technical tacit knowledge regarding sustainable product engineering. In this paper a three-step method is presented: The method contains knowledge acquisition, requirements extraction und requirements validation for quality assurance. Acquisition is performed by support artifacts like interview guidelines. Extraction is supported by Artificial Intelligence, converting statements into requirements. These requirements are validated using a specific questionnaire. The developed approach is applied in a funded project of the European Union (EU) with automotive industry partners. The method supports product engineers to collect tacit knowledge from experienced employees, transform unsystematic knowledge into standardized technical requirements and validate them. Application of this method enables creation of validated requirements that can be applied throughout the company and are not exclusively dependent on a single employee.</abstract>

<originInfo><publisher>Universitätsbibliothek</publisher><dateIssued encoding="w3cdtf">2026</dateIssued><place><placeTerm type="text">Paderborn</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>Tacit knowledge</topic><topic>Sustainability</topic><topic>Product Engineering</topic><topic>Artificial Intelligence</topic>
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<relatedItem type="host"><titleInfo><title>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</title></titleInfo><identifier type="doi">10.17619/UNIPB/1-2639</identifier>
<part><detail type="volume"><number>1</number></detail><extent unit="pages">229-238</extent>
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<ama>Mansheim J, Gräßler I, Pfeifer JN. Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence. In: Graessler I, ed. &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;. Vol 1. International Symposium on Hybrid Intelligence in Product and Production Engineering. Universitätsbibliothek; 2026:229-238. doi:&lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2639&quot;&gt;10.17619/UNIPB/1-2639&lt;/a&gt;</ama>
<bibtex>@inproceedings{Mansheim_Gräßler_Pfeifer_2026, place={Paderborn}, series={International Symposium on Hybrid Intelligence in Product and Production Engineering}, title={Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence}, volume={1}, DOI={&lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2639&quot;&gt;10.17619/UNIPB/1-2639&lt;/a&gt;}, booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}, publisher={Universitätsbibliothek}, author={Mansheim, Johanna and Gräßler, Iris and Pfeifer, Jan Niklas}, editor={Graessler, Iris}, year={2026}, pages={229–238}, collection={International Symposium on Hybrid Intelligence in Product and Production Engineering} }</bibtex>
<mla>Mansheim, Johanna, et al. “Harnessing Tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence.” &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;, edited by Iris Graessler, vol. 1, Universitätsbibliothek, 2026, pp. 229–38, doi:&lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2639&quot;&gt;10.17619/UNIPB/1-2639&lt;/a&gt;.</mla>
<chicago>Mansheim, Johanna, Iris Gräßler, and Jan Niklas Pfeifer. “Harnessing Tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence.” In &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;, edited by Iris Graessler, 1:229–38. International Symposium on Hybrid Intelligence in Product and Production Engineering. Paderborn: Universitätsbibliothek, 2026. &lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2639&quot;&gt;https://doi.org/10.17619/UNIPB/1-2639&lt;/a&gt;.</chicago>
<short>J. Mansheim, I. Gräßler, J.N. Pfeifer, in: I. Graessler (Ed.), 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, Universitätsbibliothek, Paderborn, 2026, pp. 229–238.</short>
<apa>Mansheim, J., Gräßler, I., &amp;#38; Pfeifer, J. N. (2026). Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence. In I. Graessler (Ed.), &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt; (Vol. 1, pp. 229–238). Universitätsbibliothek. &lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2639&quot;&gt;https://doi.org/10.17619/UNIPB/1-2639&lt;/a&gt;</apa>
<ieee>J. Mansheim, I. Gräßler, and J. N. Pfeifer, “Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence,” in &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;, Paderborn, 2026, vol. 1, pp. 229–238, doi: &lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2639&quot;&gt;10.17619/UNIPB/1-2639&lt;/a&gt;.</ieee>
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