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    1. Friedrich-Alexander-Universität
    2. Fachbereich Wirtschafts- und Sozialwissenschaften
    Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
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    4. Propelling Business Process Management by Research and Innovation Staff Exchange

    Propelling Business Process Management by Research and Innovation Staff Exchange

    In page navigation: Research
    • Service Systems
    • Decision Support
    • Information Management
    • Business Process Management
      • Identifikation von Automatisierungspotentialen mit Process Mining (IdAP)
      • Artificial-Intelligence to Reveal Potentials for Semi-Process-Automation
      • Building Bridges - Reinforcement Learning on Molecular and Process Graphs
      • Analyse von Positonsdaten zur Ermittlung von Durchlaufzeiten in der Fertigung
      • Bayessche Vorhersagemodelle auf Basis von Kontextinformationen für das Monitoring von Geschäftsprozessen
      • Initiation of Bilateral Cooperation with Brazil - Evaluating Standards for Interorganizational Process Integration in Brazilian-German Value Networks
      • Multidimensionales Conformance Checking für Prozesse
      • Propelling Business Process Management by Research and Innovation Staff Exchange
      • Deep Learning im Kontext von Predictive Maintenance
      • Joint German-Russian Innovation Forum "Promoting business process management excellence in Russia" (PropelleR 2012)
    • Further research (Chair of Digital Industrial Service Systems)

    Propelling Business Process Management by Research and Innovation Staff Exchange

    Propelling Business Process Management by Research and Innovation Staff Exchange

    (Third Party Funds Group – Sub project)

    Overall project: RISE_BPM
    Project leader: Martin Matzner
    Project members: Martin Matzner, Matthias Stierle, Tobias Pauli, Emanuel Marx
    Start date: 1. May 2015
    End date: 30. April 2019
    Acronym: RISE_BPM
    Funding source: Europäische Union (EU)
    URL: http://www.rise-bpm.eu

    Abstract:

    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

    Publications:

    • Brunk J., Revoredo K., Stierle M., Matzner M., Delfmann P., Becker J.:
      Prediction of business process instances with dynamic Bayesian networks
      8th International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018 (Sevilla)
      In: Paolo Ceravolo and López M. Teresa Gómez and Keulen Maurice Van (ed.): Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018) 2018
      URL: http://ceur-ws.org/Vol-2270/short1.pdf
    • Brunk J., Stierle M., Papke L., Revoredo K., Matzner M., Becker J.:
      Cause vs. effect in context-sensitive prediction of business process instances
      In: Information Systems 95 (2021), p. 101635
      ISSN: 0306-4379
      DOI: 10.1016/j.is.2020.101635
      URL: https://www.sciencedirect.com/science/article/abs/pii/S0306437920301046
    FAU Erlangen-Nürnberg
    Chair of Digital Industrial Service Systems

    Fürther Str. 248
    90429 Nürnberg
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