---
_id: '66547'
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.'
author:
- first_name: Johanna
  full_name: Mansheim, Johanna
  id: '98210'
  last_name: Mansheim
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Jan Niklas
  full_name: Pfeifer, Jan Niklas
  id: '62841'
  last_name: Pfeifer
citation:
  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>'
  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>'
  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} }'
  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>.'
  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>.'
  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>.'
  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.'
conference:
  end_date: 2026-03-26
  location: Paderborn
  name: International Symposium on Hybrid Intelligence in Product and Production Engineering
    1. 2026 Paderborn
  start_date: 2026-03-24
date_created: 2026-07-20T13:16:49Z
date_updated: 2026-08-13T09:02:56Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2639
editor:
- first_name: Iris
  full_name: Graessler, Iris
  last_name: Graessler
intvolume: '         1'
keyword:
- Tacit knowledge
- Sustainability
- Product Engineering
- Artificial Intelligence
language:
- iso: eng
page: 229-238
place: Paderborn
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
  Paderborn University'
publication_status: published
publisher: Universitätsbibliothek
quality_controlled: '1'
series_title: International Symposium on Hybrid Intelligence in Product and Production
  Engineering
status: public
title: Harnessing tacit Knowledge from Sustainable Product Engineering through Artificial
  Intelligence
type: conference
user_id: '98210'
volume: 1
year: '2026'
...
---
_id: '60958'
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.
author:
- first_name: Katharina
  full_name: Brennig, Katharina
  last_name: Brennig
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.'
  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.'
  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}
    }'
  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.'
  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.'
  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.'
  short: 'K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.'
conference:
  end_date: 2025-08-16
  location: Montréal
  name: Americas Conference on Information Systems
  start_date: 2025-08-14
date_created: 2025-08-20T07:03:37Z
date_updated: 2025-08-20T07:06:16Z
department:
- _id: '196'
keyword:
- Process Mining
- Large Language Model
- Knowledge Management
- Knowledge-Intensive Process
- Tacit Knowledge
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
publication: AMCIS 2025 Proceedings. 11.
related_material:
  link:
  - relation: confirmation
    url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
status: public
title: 'Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge
  in Event Logs of Knowledge-Intensive Processes'
type: conference
user_id: '51905'
year: '2025'
...