Overcoming the Drawbacks of Traditional Process Management Software
Manfred Reichert, Ulm University, Germany
Blockchains and Enterprise Modeling: Opportunities and Challenges
Hans-Georg Fill, University of Fribourg, Switzerland
Overcoming the Drawbacks of Traditional Process Management Software
Brief Bio
Manfred is Professor of Computer Science and Director of the Databases and Information Systems Institute at Ulm University, Germany. His research spans across the fields of digital services, information systems, business process management, and process flexibility. Moreover, he has been engaged in many projects related to healthcare, logistics, automotive engineering, and Industry 4.0. Currently, he collaborates with several large companies, including Daimler,BMW Uhlmann Pac Systems, and adesso. Manfred was PC co-chair of the BPM’08, CoopIS’11, and EDOC’13 conferences, and general chair of the BPM’09 and EDOC’14 conferences as well as the BPM’15 workshops. He received several best paper wards (e.g. OTM’05, EDOC’08, AIMS‘17) as well as the BPM Test of Time Award at the BPM’13 conference. Finally, he is co-founder of the AristaFlow Ltd. and co-author of a Springer book on process flexibility.
Abstract
The increasing importance of data for process-aware software systems has led to the emergence of data-centric process support paradigms, e.g., artifact-centric, object-aware, and data-driven approaches. By tightly integrating process and data, corresponding approaches differ significantly from the widely used traditional (i.e. activity-centric) process paradigm, aiming at the support of data-intensive business processes and offering increased flexibility. In particular, the progress of a data-centric process depends on the availability of data rather than on the completion of activities. Moreover, the focus has shifted from large, monolithic processes towards rather small processes (e.g., object lifecyces), which need to collaborate in order to reach a common business goal. The keynote speech will provide profound insights into fundamental concepts, features and tools of data-centric approaches to BPM. Moreover, it will discuss how this process support paradigm opens up new prospects with respect to the engineering, automation, and monitoring of business processes in the era of digitization and Industry 4.0.
Blockchains and Enterprise Modeling: Opportunities and Challenges
Hans-Georg Fill
University of Fribourg
Switzerland
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Brief Bio
Hans-Georg Fill is full professor at the University of Fribourg, Switzerland and Head of the Research Group Digitalization and Information Systems. Before, he held temporary full professor positions at the University of Bamberg, Germany and the University of Vienna, Austria. He holds a PhD and a habilitation from the University of Vienna in business informatics. He was a visiting researcher at Stanford University, Karlsruhe Institute of Technology, and Ecole Nationale Supérieure des Mines at St. Etienne, France. His research activities focus on the development of IT-based modelling tools, distributed ledger technologies, visualization, and the alignment of conceptual modelling and semantic technologies. He is associate editor for Business and Information Systems Engineering as well as Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modelling, chaired several conferences as general chair and served on numerous program committees.
Abstract
Blockchains and more generally Distributed Ledger Technologies have recently gained much attention due to their successful use for cryptocurrencies. After an initial hype, it is now being investigated how these approaches can be productively applied in concrete business use cases. In this talk I will take the perspective of enterprise modeling, which aims for the structured design and analysis of business and IT solutions as well as their alignment. In addition, enterprise models are today regarded as a means for sharing and processing knowledge. It will be highlighted which opportunities and challenges arise when combining enterprise modeling with the domain of blockchains. This will be illustrated with recent findings from the domains of knowledge management, business process management, and ontologies.