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    1. Friedrich-Alexander-Universität
    2. Fachbereich Wirtschafts- und Sozialwissenschaften
    Friedrich-Alexander-Universität Lehrstuhl für Digital Industrial Service Systems WiSo
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    3. Business Process Management
    4. Propelling Business Process Management by Research and Innovation Staff Exchange

    Propelling Business Process Management by Research and Innovation Staff Exchange

    Bereichsnavigation: Forschung
    • Service Systems
    • Decision Support
    • Information Management
    • Business Process Management
      • Software-Prototypen für die erfahrbare Integration
      • Identifikation von Automatisierungspotentialen mit Process Mining (IdAP)
      • Künstliche Intelligenz zur Erschließung von Potentialen zur Semi-Prozessautomatisierung
      • Ein Brückenschlag: Reinforcement Learning auf Molekül- und Prozessgraphen
      • Analyse von Positonsdaten zur Ermittlung von Durchlaufzeiten in der Fertigung
      • Bayessche Vorhersagemodelle auf Basis von Kontextinformationen für das Monitoring von Geschäftsprozessen
      • Bilaterale Kooperationsanbahnung Brasilien - 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
      • Deutsch-Russisches Innovationsforum - Promoting business process management excellence in Russia
    • Internationales Forschnungsnetzwerk für E-Government zwischen Deutschland und Brasilien
    • German-Brazilian Workshop on Management and Engineering of IT-Supported Business Networks, Administration Networks and Social Networks
    • Flexible Informationssystem-Architekturen für hybride Wertschöpfungsnetzwerke
    • Automatisiertes Content-Providing durch Smarte Steuersysteme
    • Föderales Informationsmanagement
    • Weitere Forschung (Lehrstuhl für Digital Industrial Service Systems)

    Propelling Business Process Management by Research and Innovation Staff Exchange

    Propelling Business Process Management by Research and Innovation Staff Exchange

    (Drittmittelfinanzierte Gruppenförderung – Teilprojekt)

    Titel des Gesamtprojektes: RISE_BPM
    Projektleitung: Martin Matzner
    Projektbeteiligte: Martin Matzner, Matthias Stierle, Tobias Pauli, Emanuel Marx
    Projektstart: 1. Mai 2015
    Projektende: 30. April 2019
    Akronym: RISE_BPM
    Mittelgeber: 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.
      

    Externe Partner:

    • Westfälische Wilhelms-Universität (WWU) Münster

    Publikationen:

    • 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 (Hrsg.): 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
      BibTeX: Download
    • 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), S. 101635
      ISSN: 0306-4379
      DOI: 10.1016/j.is.2020.101635
      URL: https://www.sciencedirect.com/science/article/abs/pii/S0306437920301046
      BibTeX: Download
    Friedrich-Alexander-Universität Erlangen-Nürnberg
    Lehrstuhl für Digital Industrial Service Systems

    Fürther Str. 248
    90429 Nürnberg
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