[{"language":[{"iso":"eng"}],"series_title":"International Symposium on Hybrid Intelligence in Product and Production Engineering","doi":"10.17619/UNIPB/1-2639","author":[{"last_name":"Mansheim","first_name":"Johanna","full_name":"Mansheim, Johanna","id":"98210"},{"id":"47565","full_name":"Gräßler, Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler","first_name":"Iris"},{"id":"62841","full_name":"Pfeifer, Jan Niklas","last_name":"Pfeifer","first_name":"Jan Niklas"}],"title":"Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence","year":"2026","intvolume":"         1","date_updated":"2026-08-13T09:02:56Z","publication_status":"published","date_created":"2026-07-20T13:16:49Z","department":[{"_id":"152"}],"keyword":["Tacit knowledge","Sustainability","Product Engineering","Artificial Intelligence"],"type":"conference","publication":"1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University","abstract":[{"lang":"eng","text":"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."}],"publisher":"Universitätsbibliothek","_id":"66547","page":"229-238","editor":[{"full_name":"Graessler, Iris","last_name":"Graessler","first_name":"Iris"}],"volume":1,"user_id":"98210","conference":{"location":"Paderborn","start_date":"2026-03-24","name":"International Symposium on Hybrid Intelligence in Product and Production Engineering 1. 2026 Paderborn","end_date":"2026-03-26"},"status":"public","place":"Paderborn","citation":{"apa":"Mansheim, J., Gräßler, I., &#38; Pfeifer, J. N. (2026). Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence. In I. Graessler (Ed.), <i>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i> (Vol. 1, pp. 229–238). Universitätsbibliothek. <a href=\"https://doi.org/10.17619/UNIPB/1-2639\">https://doi.org/10.17619/UNIPB/1-2639</a>","ieee":"J. Mansheim, I. Gräßler, and J. N. Pfeifer, “Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence,” in <i>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>, Paderborn, 2026, vol. 1, pp. 229–238, doi: <a href=\"https://doi.org/10.17619/UNIPB/1-2639\">10.17619/UNIPB/1-2639</a>.","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.","chicago":"Mansheim, Johanna, Iris Gräßler, and Jan Niklas Pfeifer. “Harnessing Tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence.” In <i>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>, edited by Iris Graessler, 1:229–38. International Symposium on Hybrid Intelligence in Product and Production Engineering. Paderborn: Universitätsbibliothek, 2026. <a href=\"https://doi.org/10.17619/UNIPB/1-2639\">https://doi.org/10.17619/UNIPB/1-2639</a>.","mla":"Mansheim, Johanna, et al. “Harnessing Tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence.” <i>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>, edited by Iris Graessler, vol. 1, Universitätsbibliothek, 2026, pp. 229–38, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2639\">10.17619/UNIPB/1-2639</a>.","ama":"Mansheim J, Gräßler I, Pfeifer JN. Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial Intelligence. In: Graessler I, ed. <i>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>. Vol 1. International Symposium on Hybrid Intelligence in Product and Production Engineering. Universitätsbibliothek; 2026:229-238. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2639\">10.17619/UNIPB/1-2639</a>","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={<a href=\"https://doi.org/10.17619/UNIPB/1-2639\">10.17619/UNIPB/1-2639</a>}, 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} }"},"quality_controlled":"1"},{"conference":{"end_date":"2025-08-16","location":"Montréal","name":"Americas Conference on Information Systems","start_date":"2025-08-14"},"author":[{"full_name":"Brennig, Katharina","last_name":"Brennig","first_name":"Katharina"}],"status":"public","year":"2025","title":"Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes","date_updated":"2025-08-20T07:06:16Z","language":[{"iso":"eng"}],"_id":"60958","main_file_link":[{"url":"https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/"}],"user_id":"51905","citation":{"ama":"Brennig K. Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. In: <i>AMCIS 2025 Proceedings. 11.</i> ; 2025.","bibtex":"@inproceedings{Brennig_2025, title={Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes}, booktitle={AMCIS 2025 Proceedings. 11.}, author={Brennig, Katharina}, year={2025} }","mla":"Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” <i>AMCIS 2025 Proceedings. 11.</i>, 2025.","chicago":"Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” In <i>AMCIS 2025 Proceedings. 11.</i>, 2025.","short":"K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.","apa":"Brennig, K. (2025). Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. <i>AMCIS 2025 Proceedings. 11.</i> Americas Conference on Information Systems, Montréal.","ieee":"K. Brennig, “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes,” presented at the Americas Conference on Information Systems, Montréal, 2025."},"publication":"AMCIS 2025 Proceedings. 11.","abstract":[{"lang":"eng","text":"Large Language Models (LLMs) excel in understanding, generating, and processing human language, with growing adoption in process mining. Process mining relies on event logs that capture explicit process knowledge; however, knowledge-intensive processes (KIPs) in domains such as healthcare and product development depend on tacit knowledge, which is often absent from event logs. To bridge this gap, this study proposes a LLM-based framework for mobilizing tacit process knowledge and enriching event logs. A proof-of-concept is demonstrated using a KIP-specific LLM-driven conversational agent built on GPT-4o. The results indicate that LLMs can capture tacit process knowledge through targeted queries and systematically integrate it into event logs. This study presents a novel approach combining LLMs, knowledge management, and process mining, advancing the understanding and management of KIPs by enhancing knowledge accessibility and documentation."}],"related_material":{"link":[{"url":"https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/","relation":"confirmation"}]},"date_created":"2025-08-20T07:03:37Z","department":[{"_id":"196"}],"keyword":["Process Mining","Large Language Model","Knowledge Management","Knowledge-Intensive Process","Tacit Knowledge"],"type":"conference"}]