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Authors: Sebastian Petter 1 ; Myriel Fichtner 1 ; Stefan Schönig 2 and Stefan Jablonski 1

Affiliations: 1 University of Bayreuth, Germany ; 2 University of Regensburg, Germany

Keyword(s): Business Process Management, Recommender Systems, Content-based Filtering, User-centered Process Improvement, User Satisfaction, Worklist Optimization, Process Activity Similarity.

Abstract: Business Process Management (BPM) is an approach to optimize business processes regarding certain company goals, e.g., the duration or quality of process outcome. Human resources are essential to business processes and are often neglected during process optimization. Considering domains focusing on users, it can be observed that recommender systems are often used to support user decisions and increase user satisfaction. This inspired us to use recommendation techniques in the context of BPM. Employee satisfaction significantly influences productivity, while employees are more satisfied when their preferences are taken into account during process execution. In this work, we propose to adopt the concept of content-based filtering to recommend worklist items to process participants they probably prefer. Since this work is part of a research project, we illustrate our approach on a simplified real-world business process from one of our application partners.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Petter, S.; Fichtner, M.; Schönig, S. and Jablonski, S. (2022). Content-based Filtering for Worklist Reordering to improve User Satisfaction: A Position Paper. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 589-596. DOI: 10.5220/0011092900003179

@conference{iceis22,
author={Sebastian Petter. and Myriel Fichtner. and Stefan Schönig. and Stefan Jablonski.},
title={Content-based Filtering for Worklist Reordering to improve User Satisfaction: A Position Paper},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2022},
pages={589-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011092900003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Content-based Filtering for Worklist Reordering to improve User Satisfaction: A Position Paper
SN - 978-989-758-569-2
IS - 2184-4992
AU - Petter, S.
AU - Fichtner, M.
AU - Schönig, S.
AU - Jablonski, S.
PY - 2022
SP - 589
EP - 596
DO - 10.5220/0011092900003179
PB - SciTePress