---
res:
  bibo_abstract:
  - '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.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Johanna
      foaf_name: Mansheim, Johanna
      foaf_surname: Mansheim
      foaf_workInfoHomepage: http://www.librecat.org/personId=98210
  - foaf_Person:
      foaf_givenName: Iris
      foaf_name: Gräßler, Iris
      foaf_surname: Gräßler
      foaf_workInfoHomepage: http://www.librecat.org/personId=47565
    orcid: 0000-0001-5765-971X
  - foaf_Person:
      foaf_givenName: Jan Niklas
      foaf_name: Pfeifer, Jan Niklas
      foaf_surname: Pfeifer
      foaf_workInfoHomepage: http://www.librecat.org/personId=62841
  bibo_doi: 10.17619/UNIPB/1-2639
  bibo_volume: 1
  dct_date: 2026^xs_gYear
  dct_language: eng
  dct_publisher: Universitätsbibliothek@
  dct_subject:
  - Tacit knowledge
  - Sustainability
  - Product Engineering
  - Artificial Intelligence
  dct_title: Harnessing tacit Knowledge from Sustainable Product Engineering through
    Artificial Intelligence@
...