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Data-driven Process Prioritization in Process Networks

Title data

Kratsch, Wolfgang ; Manderscheid, Jonas ; Reißner, Daniel ; Röglinger, Maximilian:
Data-driven Process Prioritization in Process Networks.
In: Decision Support Systems. Vol. 100 (2017) Issue Special Issue . - pp. 27-40.
ISSN 1873-5797
DOI: https://doi.org/10.1016/j.dss.2017.02.011

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Abstract in another language

Business process management (BPM) is an essential paradigm of organizational design and a source of corporate performance. Receiving constant attention from corporate decision-makers, process improvement is the most value-creating activity in the BPM lifecycle. With ineffective process prioritization capabilities being a key failure factor of process improvement, we propose the Data-Driven Process Prioritization (D2P2) approach. The D2P2 extends existing approaches to process prioritization as it accounts for structural and stochastic process dependencies and predicts risky future process performance based on data from process logs. The D2P2 returns a priority list that indicates in which periods the processes from a given business process architec-ture should undergo an in-depth analysis to check whether they require improvement. Thus, the D2P2 contributes to the prescriptive knowledge on process prioritization. To evaluate the D2P2, we discussed its design specification against theory-backed design objectives and competing artefacts. We also implemented the D2P2 as a software prototype and report on an extensive demonstration example including a scenario analysis.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: Special Issue on Smart Business Process Management
Keywords: Business Process Management; Process Prioritization; Process Improvement; Business Process Architecture; Process Logs
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: 10 Mar 2017 08:05
Last Modified: 31 Jul 2017 09:27
URI: https://eref.uni-bayreuth.de/id/eprint/36408