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Sustainability Patterns for the Improvement of IT-Related Business Processes with Regard to Ecological Goals

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Business Process Management Workshops (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 281))

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Abstract

The transformation of proven methods and knowledge to reusable artifacts in the form of patterns or anti-patterns is very common in many areas of IS research, for instance in Business Process Management (BPM). An area that lacks in support on the basis of patterns is the area of Green Business Process Management. With this paper, we introduce the concept of sustainability patterns in BPM that can be used for the improvement of existing processes or for the design of new processes in due consideration of ecological goals such as the reduction of resource consumption during the executing of these processes. We further present the results of a qualitative analysis that we conducted to extract a total number of 26 Ecological Process Patterns from real-world processes and a catalog with generic process weakness patterns. The identified patterns indicate a latent potential for process enhancement once the patterns are applied to real-world processes.

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Notes

  1. 1.

    The pattern catalog is currently only available as internal working paper but can be requested from Patrick Delfmann of Münster University (patrick.delfmann@ercis.uni-muenster.de).

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Acknowledgement

Parts of the research described in this paper was supported by a grant from the German Ministry of Education and Research (BMBF), project name GreenFlow, support code 01IS12050.

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Correspondence to Patrick Lübbecke .

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Lübbecke, P., Fettke, P., Loos, P. (2017). Sustainability Patterns for the Improvement of IT-Related Business Processes with Regard to Ecological Goals. In: Dumas, M., Fantinato, M. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-58457-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-58457-7_31

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