at Google ScholarTitle data
Petter, Sebastian ; Jablonski, Stefan:
A Generic Approach Towards Adapting User Preferences in Business Process Execution.
In: van der Aa, Han ; Bork, Dominik ; Schmidt, Rainer ; Sturm, Arnon
(ed.):
Enterprise, Business-Process and Information Systems Modeling. -
Cham
: Springer
,
2024
. - pp. 73-86
ISBN 978-3-031-61007-3
DOI: https://doi.org/10.1007/978-3-031-61007-3_7
Abstract in another language
Business Process Management (BPM) plays a vital role in modern businesses, assisting them in organizing their operational procedures. There are multiple methods to improve these processes. Process optimization often overlooks human resources as crucial parts of business processes. By focusing on individual user preferences process executions can be improved. Approaches pursuing this idea are subsumed under the term human-centric BPM. One way to achieve this kind of optimization is to integrate recommender systems into BPM. Integrated recommender systems consider user preferences during process execution and therefore enhance user experience and thus overall process efficiency. Our proposed framework offers an adaptable solution for integrating arbitrary recommendation strategies. The practicability of the framework is demonstrated through a real-world example.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Business process management; Recommender systems; User-centered 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 |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 11 Jun 2024 08:22 |
| Last Modified: | 11 Jun 2024 08:22 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/89723 |