Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social scienceseconomics and businessbusiness and managementinnovation management
- natural sciencescomputer and information sciencesdata sciencebig data
- social scienceseconomics and businessbusiness and managementemployment
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Programme(s)
Coordinator
48149 MUENSTER
Germany