Paper accepted at ICEIS 2022 - by Sebastian Petter, Myriel Fichtner, Stefan Schönig and Stefan Jablonski
The paper "Content-based Filtering for Worklist Reordering to improve User Satisfaction: A Position Paper" authored by Sebastian Petter, Myriel Fichtner, Stefan Schönig, and Stefan Jablonski has been accepted for presentation and publication at the 24th International Conference on Enterprise Information Systems (ICEIS 2022). Below you can find the abstract of the paper.
Content-based Filtering for Worklist Reordering to improve User Satisfaction: A Position Paper
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.