Towards AI-Driven Transformation of Volunteering

Authors

Johannes Schönböck
University of Applied Sciences Upper Austria, Faculty of Informatics
https://orcid.org/0000-0002-1706-6319
Birgit Pröll
Johannes Kepler University Linz, Cooperative Information Systems
Wieland Schwinger
Johannes Kepler University Linz, Cooperative Information Systems
Werner Retschitzegger
Johannes Kepler University Linz, Cooperative Information Systems
Elisabeth Kapsammer
Johannes Kepler University Linz, Cooperative Information Systems
https://orcid.org/0000-0002-4778-8435
Marianne Lechner
University of Arts, Department Visual Communication
https://orcid.org/0009-0004-2474-6015
Christoph Angster

Synopsis

Voluntary engagement is an indispensable cornerstone of Critical Infrastructures (CI) such as civil protection, disaster, crisis and rescue management as well as health and social services. Sustainability of the voluntary sector, however, is massively endangered by profound changes in demography, social structure, and volunteer motives in the sense of individualization and pluralization of society. To address these challenges, this paper contributes a research roadmap for leveraging recent advances in Artificial Intelligence (AI) specifically for the volunteer sector, discussing the proposed research design and methods together with research objectives and promising technological solutions. A brief discussion of a first prototypical realization of LLM-based skill extraction from volunteering opportunities and an outlook on future research complements this contribution.

Author Biographies

Johannes Schönböck, University of Applied Sciences Upper Austria, Faculty of Informatics

Hagenberg, Austria. E-mail: johannes.schoenboeck@fh-hagenberg.at 

Birgit Pröll, Johannes Kepler University Linz, Cooperative Information Systems

Linz, Austria. E-mail: birgit.proell@jku.at

Wieland Schwinger, Johannes Kepler University Linz, Cooperative Information Systems

Linz, Austria. E-mail: wieland.schwinger@jku.at

Werner Retschitzegger, Johannes Kepler University Linz, Cooperative Information Systems

Linz, Austria. E-mail: werner.retschitzegger@jku.at

Elisabeth Kapsammer, Johannes Kepler University Linz, Cooperative Information Systems

Linz, Austria. E-mail: elisabeth.kapsammer@jku.at

Marianne Lechner, University of Arts, Department Visual Communication

Linz, Austria. E-mail: marianne.lechner@kunstuni-linz.at

Christoph Angster

Vienna, Austria. E-mail: christoph.angster@sozialministerium.at

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Published

March 17, 2026

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Schönböck, J., Pröll, B., Schwinger, W., Retschitzegger, W., Kapsammer, E., Lechner, M., & Angster, C. (2026). Towards AI-Driven Transformation of Volunteering. In P. Šprajc, D. Maletič, N. Petrović, I. Iztok, A. Škraba, D. Tomić, & A. Žnidaršič Mohorič (Eds.), & (Ed.), 45th International Conference on Organizational Science Development: Organization and the Longevity Society, Conference Proceedings (Vols. 45., pp. 785-798). University of Maribor Press. https://doi.org/10.18690/um.fov.3.2026.57