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Authors: Dennis G. J. C. Maneschijn ; Rob H. Bemthuis ; Faiza A. Bukhsh and Maria-Eugenia Iacob

Affiliation: University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands

Keyword(s): Process Mining, Abstraction Levels, Stakeholder Analysis, Process Models.

Abstract: Process mining derives knowledge of the execution of processes through analyzing behavior as observed from real-life events. While benefits of process mining are widely acknowledged, finding an adequate level of detail at which a mined process model is suitable for a specific stakeholder is still an ongoing challenge. Process models can be mined at different levels of abstraction, often resulting in either highly complex or highly abstract process models. This may have an important impact on the comprehensibility of the process model, which can also differ from the perspective of a particular stakeholder. To address this problem from a stakeholder-centric perspective, we propose a methodology for determining an appropriate level of process model abstraction. To this end, we use quantitative metrics on process models as well as a qualitative evaluation by using a technology acceptance model (TAM). A logistics case study involving the fuzzy process mining discovery algorithm shows init ial evidence that the use of appropriate abstraction levels is key when considering the needs of various stakeholders. (More)

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Paper citation in several formats:
Maneschijn, D.; Bemthuis, R.; Bukhsh, F. and Iacob, M. (2022). A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-569-2; ISSN 2184-4992, pages 137-147. DOI: 10.5220/0011029600003179

@conference{iceis22,
author={Dennis G. J. C. Maneschijn. and Rob H. Bemthuis. and Faiza A. Bukhsh. and Maria{-}Eugenia Iacob.},
title={A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2022},
pages={137-147},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011029600003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs
SN - 978-989-758-569-2
IS - 2184-4992
AU - Maneschijn, D.
AU - Bemthuis, R.
AU - Bukhsh, F.
AU - Iacob, M.
PY - 2022
SP - 137
EP - 147
DO - 10.5220/0011029600003179