---
_id: '61949'
abstract:
- lang: eng
  text: <jats:title>ABSTRACT:</jats:title><jats:p>Facing increasingly dynamic market
    environments and global challenges such as climate change and resource scarcity,
    companies are under constant pressure to innovate and remain competitive. As technology
    is a key enabler, companies need to understand the drivers of technological change.
    Technology Foresight systematically identifies and analyzes emerging technologies
    to support engineering design decisions. However, the growing volume of data is
    outpacing manual processing capabilities. This research explores the integration
    of Generative AI to enhance Technology Foresight by automating technology analysis
    and information synthesis. This paper presents a comprehensive problem analysis,
    reviews existing solutions, and proposes a framework that demonstrates the potential
    of Large Language Models combined with a Retrieval Augmented Generation architecture
    to transform Technology Foresight.</jats:p>
author:
- first_name: Kai
  full_name: Ellermann, Kai
  last_name: Ellermann
- first_name: Tobias
  full_name: Seidenberg, Tobias
  last_name: Seidenberg
- first_name: Laban
  full_name: Asmar, Laban
  last_name: Asmar
- first_name: Jonas
  full_name: Knepler, Jonas
  last_name: Knepler
- first_name: Roman
  full_name: Dumitrescu, Roman
  id: '16190'
  last_name: Dumitrescu
citation:
  ama: 'Ellermann K, Seidenberg T, Asmar L, Knepler J, Dumitrescu R. Leveraging GenAI
    for technology foresight. In: <i>Proceedings of the Design Society</i>. Vol 5.
    Cambridge University Press (CUP); 2025:2221-2230. doi:<a href="https://doi.org/10.1017/pds.2025.10236">10.1017/pds.2025.10236</a>'
  apa: Ellermann, K., Seidenberg, T., Asmar, L., Knepler, J., &#38; Dumitrescu, R.
    (2025). Leveraging GenAI for technology foresight. <i>Proceedings of the Design
    Society</i>, <i>5</i>, 2221–2230. <a href="https://doi.org/10.1017/pds.2025.10236">https://doi.org/10.1017/pds.2025.10236</a>
  bibtex: '@inproceedings{Ellermann_Seidenberg_Asmar_Knepler_Dumitrescu_2025, title={Leveraging
    GenAI for technology foresight}, volume={5}, DOI={<a href="https://doi.org/10.1017/pds.2025.10236">10.1017/pds.2025.10236</a>},
    booktitle={Proceedings of the Design Society}, publisher={Cambridge University
    Press (CUP)}, author={Ellermann, Kai and Seidenberg, Tobias and Asmar, Laban and
    Knepler, Jonas and Dumitrescu, Roman}, year={2025}, pages={2221–2230} }'
  chicago: Ellermann, Kai, Tobias Seidenberg, Laban Asmar, Jonas Knepler, and Roman
    Dumitrescu. “Leveraging GenAI for Technology Foresight.” In <i>Proceedings of
    the Design Society</i>, 5:2221–30. Cambridge University Press (CUP), 2025. <a
    href="https://doi.org/10.1017/pds.2025.10236">https://doi.org/10.1017/pds.2025.10236</a>.
  ieee: 'K. Ellermann, T. Seidenberg, L. Asmar, J. Knepler, and R. Dumitrescu, “Leveraging
    GenAI for technology foresight,” in <i>Proceedings of the Design Society</i>,
    2025, vol. 5, pp. 2221–2230, doi: <a href="https://doi.org/10.1017/pds.2025.10236">10.1017/pds.2025.10236</a>.'
  mla: Ellermann, Kai, et al. “Leveraging GenAI for Technology Foresight.” <i>Proceedings
    of the Design Society</i>, vol. 5, Cambridge University Press (CUP), 2025, pp.
    2221–30, doi:<a href="https://doi.org/10.1017/pds.2025.10236">10.1017/pds.2025.10236</a>.
  short: 'K. Ellermann, T. Seidenberg, L. Asmar, J. Knepler, R. Dumitrescu, in: Proceedings
    of the Design Society, Cambridge University Press (CUP), 2025, pp. 2221–2230.'
date_created: 2025-10-24T06:19:49Z
date_updated: 2025-10-24T06:28:36Z
department:
- _id: '563'
doi: 10.1017/pds.2025.10236
intvolume: '         5'
language:
- iso: eng
page: 2221-2230
publication: Proceedings of the Design Society
publication_identifier:
  issn:
  - 2732-527X
publication_status: published
publisher: Cambridge University Press (CUP)
status: public
title: Leveraging GenAI for technology foresight
type: conference
user_id: '15782'
volume: 5
year: '2025'
...