---
res:
  bibo_abstract:
  - "<jats:title>ABSTRACT:</jats:title>\r\n                  <jats:p>Small and medium-sized
    enterprises often lack the time, expertise, and tools for effective scenario management.
    This paper proposes a modular, AI-enabled scenario architecture integrating a
    guided wizard and expert environment on a shared knowledge backbone. The design
    aims to reduce effort and tool fragmentation while preserving human judgment,
    structural quality, explainability, and traceability. The proposed pattern outlines
    a provenance-aware foresight pipeline with human-in-the-loop capabilities that
    aims to transform one-off projects into reusable organizational knowledge.</jats:p>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jonas
      foaf_name: Knepler, Jonas
      foaf_surname: Knepler
  - foaf_Person:
      foaf_givenName: Tobias
      foaf_name: Seidenberg, Tobias
      foaf_surname: Seidenberg
  - foaf_Person:
      foaf_givenName: Khoren
      foaf_name: Grigoryan, Khoren
      foaf_surname: Grigoryan
  - foaf_Person:
      foaf_givenName: Laban
      foaf_name: Asmar, Laban
      foaf_surname: Asmar
  - foaf_Person:
      foaf_givenName: Roman
      foaf_name: Dumitrescu, Roman
      foaf_surname: Dumitrescu
      foaf_workInfoHomepage: http://www.librecat.org/personId=16190
  bibo_doi: 10.1017/pds.2026.10595
  bibo_volume: 6
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2732-527X
  dct_language: eng
  dct_publisher: Cambridge University Press (CUP)@
  dct_title: 'AI-based scenario management for SMEs: the need for modular, explainable
    and reusable foresight pipelines@'
...