Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Process Forecasting : Towards Proactive Business Process Management

Title data

Poll, Rouven ; Polyvyanyy, Artem ; Rosemann, Michael ; Röglinger, Maximilian ; Rupprecht, Lea:
Process Forecasting : Towards Proactive Business Process Management.
2018
Event: 16th International Conference on Business Process Management (BPM) , 09.-14. September 2018 , Sydney, Australia.
(Conference item: Conference , Paper )

Project information

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

Abstract in another language

The digital economy is highly volatile and uncertain. Ever-changing customer needs and technical progress increase the pressure on organizations to continuously improve and innovate their business processes. The ability to anticipate incremental and radical process changes required in the future is a critical success factor. However, organizations often fail to forecast future business process designs and process performance. One reason is that Business Process Management (BPM) is dominated by reactive methods (e.g., lean management, traditional process monitoring), whereas there are only a few future-oriented approaches (e.g., process simulation, predictive process monitoring). This paper supports the shift towards proactive BPM by coining the notion of process forecasting – an umbrella concept for future-oriented BPM methods and techniques. We motivate the need for process forecasting by eliciting various types of process forecasting from BPM use cases and create a first understanding of its scope by providing a definition, a reference process, showing the steps to be followed in process forecasting initiatives, and a positioning against related BPM sub-areas. The definition and reference process are based on a structured literature review.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Additional notes: Link zum Volltext: ftp://398794-dokma@ftp.fim-rc.de/Veroeffentlicht/752/wi-752.pdf (Password-geschützt!)
Keywords: Process forecasting; proactive business process management; predictive business process management
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 > 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
Research Institutions
Research Institutions > Affiliated Institutes
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: 05 Jul 2018 14:04
Last Modified: 05 Jul 2019 06:10
URI: https://eref.uni-bayreuth.de/id/eprint/44979