Toward a Context-aware Process Model Repository

Hadjer Khider, Hadjer Khider, Slimane Hammoudi, Abdelkrim Meziane

2022

Abstract

Many challenges face the enterprises in constantly changing business environment. This requires them to continually consider the context(s) in which they operate to better respond to the challenges they face. Business Process Management (BPM) has become an important approach to create efficient business processes (BPs), which can evolve quickly to adapt to a rapidly changing business environment. The reuse of already designed BP models can improve the agility of defined BPs to address new issues that arise in today’s rapidly evolving business environment. Involving context into the current process model repositories is a real challenge. In this paper, we propose an architecture for context-aware process model repository to improve the reusability of the BP models and better meet the expectations of its stakeholders. We also present in this paper a comparative study of the different context-aware BPM approaches, in addition to the contextual factors that influence the reuse of BP models in the current process model repositories.

Paper Citation

in Harvard Style

Khider H., Hammoudi S. and Meziane A. (2022). Toward a Context-aware Process Model Repository. In Proceedings of the 19th International Conference on Smart Business Technologies - Volume 1: ICSBT, ISBN 978-989-758-587-6, pages 182-189. DOI: 10.5220/0011386400003280

in Bibtex Style

@conference{icsbt22,
author={Hadjer Khider and Slimane Hammoudi and Abdelkrim Meziane},
title={Toward a Context-aware Process Model Repository},
booktitle={ Proceedings of the 19th International Conference on Smart Business Technologies - Volume 1: ICSBT,},
year={2022},
pages={182-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011386400003280},
isbn={978-989-758-587-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Smart Business Technologies - Volume 1: ICSBT,
TI - Toward a Context-aware Process Model Repository
SN - 978-989-758-587-6
AU - Khider H.
AU - Hammoudi S.
AU - Meziane A.
PY - 2022
SP - 182
EP - 189
DO - 10.5220/0011386400003280