Propelling Business Process Management by Research and Innovation Staff Exchange

Third Party Funds Group - Sub project

Overall project details

Overall project: RISE_BPM

Project Details

Project leader:
Prof. Dr. Martin Matzner

Project members:
Prof. Dr. Martin Matzner
Matthias Stierle
Tobias Pauli
Emanuel Marx

Contributing FAU Organisations:
Lehrstuhl für Digital Industrial Service Systems

Funding source: Europäische Union (EU)
Acronym: RISE_BPM
Start date: 01/05/2015
End date: 30/04/2019

Research Fields

Business Process Management
Lehrstuhl für Digital Industrial Service Systems

Abstract (technical / expert description):

RISE_BPM networks world-leading research institutions and corporate innovators to develop new horizons for Business Process Management (BPM). BPM is a boundary-spanning discipline focused on division and re-integration of day-to-day work in organisations and on analysis of process data for organisational decision-making. Recent break-through innovations in Social Computing, Smart Devices, Real-Time Computing, and Big Data Technology create a strong impetus for propelling BPM into a pervasive corporate topic that enables design of entirely new products and services.

​All RISE_BPM consortium members possess excellent expertise in distinct aspects of the BPM lifecycle, ranging from Strategy and Modelling to Implementation and Analysis of business processes. RISE_BPM networks this complementary knowledge to create a unique environment for BPM research and innovation. The research activities are organised with reference to the design-science paradigm, including joint activities for analysing technological enablers and societal impact factors, as well as designing innovative IT artefacts for the BPM lifecycle.

Staff secondments and joint events promote a cumulative exchange of knowledge in a think-pair-square-share approach that networks large-scale research capabilities and innovation projects carried out by the involved organisations. Key objectives of RISE_BPM are (a) to propel BPM research into the era of Social Computing, Smart Devices, Real-Time Computing, and Big Data Technology; (b) to enable companies to develop new products and services for designing and analysing business processes; and (c) to supply the involved staff with a unique intellectual environment for accumulating boundary-spanning knowledge and skills that refer to the entire BPM lifecycle.

RISE_BPM extends the established administrative structures of the European Research Center for Information Systems (ERCIS) by involving additional BPM thought leaders and corporate innovators.




External Partners

Westfälische Wilhelms-Universität (WWU) Münster


Brunk, J., Revoredo, K., Stierle, M., Matzner, M., Delfmann, P., & Becker, J. (2018). Prediction of business process instances with dynamic Bayesian networks. In Paolo Ceravolo and López M. Teresa Gómez and Keulen Maurice Van (Eds.), Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018) (pp. 50-54). Sevilla, ES: CEUR-WS.

Last updated on 2018-15-10 at 11:00