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PRISM : A Predictive Risk Monitoring Approach for Business Processes

Title data

Conforti, Raffaele ; Fink, Sven ; Manderscheid, Jonas ; Röglinger, Maximilian:
PRISM : A Predictive Risk Monitoring Approach for Business Processes.
2016
Event: 14th International Conference on Business Process Management (BPM) , Sept. 2016 , Rio de Janeiro, Brazil.
(Conference item: Conference , Paper )

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Künstliche IntelligenzNo information

Abstract in another language

Nowadays, organizations face severe operational risks when executing their business processes. Some reasons are the ever more complex and dynamic busi-ness environment as well as the organic nature of business processes. Taking a risk perspective on the business process management (BPM) lifecycle has thus been recognized as an essential research stream. Despite profound knowledge on risk-aware BPM with a focus on process design, existing approaches for real-time risk monitoring treat instances as isolated when detecting risks. They do not propagate risk information to other instances in order to support early risk detec-tion. To address this gap, we propose an approach for predictive risk monitoring (PRISM). This approach automatically propagates risk information, which has been detected via risk sensors, across similar running instances of the same pro-cess in real-time. We demonstrate PRISM’s capability of predictive risk monitor-ing by applying it in the context of a real-world scenario.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 21 Jun 2016 07:35
Last Modified: 05 Jul 2019 06:09
URI: https://eref.uni-bayreuth.de/id/eprint/32842