Recommender Systems in Business Process Management: A Systematic Literature Review

Sebastian Petter, Stefan Jablonski

2023

Abstract

Recommender systems have the potential to enhance decision-making and to improve business process exe- cution in the domain of Business Process Management (BPM). By analyzing data and providing personalized recommendations, these systems can assist users in making profound decisions and so foster the achievement of their business goals. In our study that is based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) methodology, we examine the usage of recommender systems in BPM, focusing on the objectives, methods, and input data utilized. We searched eight databases and included papers that focus on process execution and recommendation methods while excluding those that are not digitally available, not in English, patents, miscellany, or proceedings, or focused solely on business process modeling. This results in 33 papers, addressing the research questions, that are analysed in detail. The discussion highlights research gaps related to user preferences and input data, suggesting that further investigation is needed to enhance the effectiveness of recommender systems in business process management.

Paper Citation

in Harvard Style

Petter S. and Jablonski S. (2023). Recommender Systems in Business Process Management: A Systematic Literature Review. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 431-442. DOI: 10.5220/0012039500003467

in Bibtex Style

@conference{iceis23,
author={Sebastian Petter and Stefan Jablonski},
title={Recommender Systems in Business Process Management: A Systematic Literature Review},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2023},
pages={431-442},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012039500003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Recommender Systems in Business Process Management: A Systematic Literature Review
SN - 978-989-758-648-4
AU - Petter S.
AU - Jablonski S.
PY - 2023
SP - 431
EP - 442
DO - 10.5220/0012039500003467
PB - SciTePress