---
res:
  bibo_abstract:
  - In increasingly volatile and uncertain markets, corporate resilience has become
    a critical capability in strategic product planning. Companies face significant
    challenges in systematically monitoring and interpreting heterogeneous environmental
    data originating from diverse sources, formats, and temporal contexts. While predefined
    workflows and decision trees can support strategic analysis, they often lack the
    flexibility required to cope with dynamic market conditions and foresightrelated
    data from extreme dispersed and heterogeneous sources. This paper proposes a method
    to enhance corporate resilience through the application of generic, reusable AI-based
    workflows in strategic product planning. The approach integrates Data Science
    and Artificial Intelligence methods into modular, visually modelled workflows
    that enable hybrid human-AI decision-making. Based on a systematic literature
    review and an analysis of industrial challenges, key success factors and resilience
    criteria are identified. These insights are used to develop a method that supports
    internal and external analyses, scenario-based strategy development, and adaptive
    implementation monitoring within a generic workflow structure. The method leverages
    techniques such as machine learning and generative AI to process structured and
    unstructured data, identify patterns, and support real-time strategic assessments.
    Validation with decision-makers from medium-sized companies demonstrates improved
    transparency, repeatability, and cross-functional collaboration compared to predefined
    workflows.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Deniz
      foaf_name: Özcan, Deniz
      foaf_surname: Özcan
      foaf_workInfoHomepage: http://www.librecat.org/personId=58595
  - 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
  bibo_doi: 10.17619/UNIPB/1-2636
  dct_date: 2026^xs_gYear
  dct_language: eng
  dct_publisher: Universitätsbibliothek@
  dct_title: Corporate resilience through generic AI-based workflows in strategic
    product planning@
...