at Google ScholarTitle data
Petter, Sebastian ; Jablonski, Stefan:
Recommender Systems in Business Process Management : A Systematic Literature Review.
In:
Proceedings of the 25th International Conference on Enterprise Information Systems. Volume 2. -
Prague
: SciTePress
,
2023
. - pp. 431-442
ISBN 978-989-758-648-4
DOI: https://doi.org/10.5220/0012039500003467
Abstract in another language
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.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Business Process Management; Recommender System; Systematic Literature Review; Goal-Based Process Improvement |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski Faculties |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 05 May 2023 06:15 |
| Last Modified: | 01 Feb 2024 12:26 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76201 |