---
_id: '67295'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Deniz
  full_name: Özcan, Deniz
  id: '58595'
  last_name: Özcan
citation:
  ama: 'Gräßler I, Özcan D. Corporate resilience through generic AI-based workflows
    in strategic product planning. In: Gräßler I, ed. <i>1st International Symposium:
    March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>. Vol 1.
    LibreCat University; 2026. doi:<a href="https://doi.org/10.17619/UNIPB/1-2636">10.17619/UNIPB/1-2636</a>'
  apa: 'Gräßler, I., &#38; Özcan, D. (2026). Corporate resilience through generic
    AI-based workflows in strategic product planning. In I. Gräßler (Ed.), <i>1st
    International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
    University</i> (Vol. 1). LibreCat University. <a href="https://doi.org/10.17619/UNIPB/1-2636">https://doi.org/10.17619/UNIPB/1-2636</a>'
  bibtex: '@inproceedings{Gräßler_Özcan_2026, title={Corporate resilience through
    generic AI-based workflows in strategic product planning}, volume={1}, DOI={<a
    href="https://doi.org/10.17619/UNIPB/1-2636">10.17619/UNIPB/1-2636</a>}, booktitle={1st
    International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn
    University}, publisher={LibreCat University}, author={Gräßler, Iris and Özcan,
    Deniz}, editor={Gräßler, Iris}, year={2026} }'
  chicago: 'Gräßler, Iris, and Deniz Özcan. “Corporate Resilience through Generic
    AI-Based Workflows in Strategic Product Planning.” In <i>1st International Symposium:
    March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>, edited
    by Iris Gräßler, Vol. 1. LibreCat University, 2026. <a href="https://doi.org/10.17619/UNIPB/1-2636">https://doi.org/10.17619/UNIPB/1-2636</a>.'
  ieee: 'I. Gräßler and D. Özcan, “Corporate resilience through generic AI-based workflows
    in strategic product planning,” in <i>1st International Symposium: March 24 –
    26, 2026, Heinz Nixdorf Institute, Paderborn University</i>, Paderborn, 2026,
    vol. 1, doi: <a href="https://doi.org/10.17619/UNIPB/1-2636">10.17619/UNIPB/1-2636</a>.'
  mla: 'Gräßler, Iris, and Deniz Özcan. “Corporate Resilience through Generic AI-Based
    Workflows in Strategic Product Planning.” <i>1st International Symposium: March
    24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</i>, edited by Iris
    Gräßler, vol. 1, LibreCat University, 2026, doi:<a href="https://doi.org/10.17619/UNIPB/1-2636">10.17619/UNIPB/1-2636</a>.'
  short: 'I. Gräßler, D. Özcan, in: I. Gräßler (Ed.), 1st International Symposium:
    March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, LibreCat University,
    2026.'
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: 2026-10-01T10:04:57Z
date_updated: 2026-10-01T10:14:12Z
department:
- _id: '43'
- _id: '9'
- _id: '26'
- _id: '152'
doi: 10.17619/UNIPB/1-2636
editor:
- first_name: Iris
  full_name: Gräßler, Iris
  last_name: Gräßler
intvolume: '         1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://digital.ub.uni-paderborn.de/hs/download/pdf/8359163
oa: '1'
publication: '1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute,
  Paderborn University'
publisher: LibreCat University
quality_controlled: '1'
status: public
title: Corporate resilience through generic AI-based workflows in strategic product
  planning
type: conference
user_id: '58595'
volume: 1
year: '2026'
...