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The Next Wave of Research in Business Process Management

Manfred Reichert

Ulm University, Institute of Databases and Information Systems, Germany manfred.reichert@uni-ulm.de

WWW:www.uni-ulm.de/dbis

Abstract. Business Process Management (BPM) has been evolving as a research discipline for more than a decade and a multitude of innova- tive concepts, methods and techniques have been suggested, e.g., related to process modeling languages, process model analyses, process enact- ment infrastructures, process flexibility, and process mining. Although BPM has matured as a research discipline, there is still a gap between its promises and its actual achievements in practice. This keynote speech reflects on this gap, discusses emerging challenges, and relates BPM re- search to current waves like ”Big Data”, ”Big Software” and ”Cloud Computing”, which provide new prospects for future BPM research.

Key words: process science, next-generation process management tools, big processes, real-world aware processes, process flexibility

References

1. Reichert, M., Weber, B.: Enabling flexibility in process-aware information systems:

challenges, methods, technologies. Springer, Berlin Heidelberg (2012)

2. Dadam, P., Reichert, M.: The ADEPT project: a decade of research and develop- ment for robust and flexible process support - challenges and achievements. Com- puter Science - Research and Development, 23(2): 81-97, Springer (2009)

3. Weber, B., Reichert, M., Mendling, J., Reijers, H.: Refactoring large process model repositories. Computers in Industry, 62(5): 467-486 (2011)

4. Ayora, C., Torres, V., Weber, B., Reichert, M., Pelechano, V.: VIVACE: A frame- work for the systematic evaluation of variability support in process-aware informa- tion systems. Information and Software Technology, 57 : 248-276 (2015)

5. Lanz, A., Weber, B., Reichert, M.: Time patterns for process-aware information systems. Requirements Engineering, 19(2): 113-141 (2014)

6. Kolb, J., Reichert, M.: A flexible approach for abstracting and personalizing large business process models. ACM Applied Computing Review, 13(1): 6-17 (2013) 7. K¨unzle, V., Weber, B., Reichert, M.: Object-aware business processes: fundamental

requirements and their support in existing approaches. Int Journal of Information System Modeling and Design, 2(2): 19-46 (2011)

8. Fdhila, W., Indiono, C., Rinderle-Ma, S., Reichert, M.: Dealing with change in process choreographies: design and implementation of propagation algorithms. In- formation Systems, Elsevier, 49 : 1-24 (2015)

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