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doi:10.22028/D291-33384
Title: | Sustainability Patterns for the Improvement of IT-Related Business Processes with Regard to Ecological Goals |
Author(s): | Lübbecke, Patrick Fettke, Peter Loos, Peter |
Editor(s): | Dumas, Marlon Fantinato, Marcelo |
Language: | English |
Title: | Business Process Management Workshops : BPM 2016 International Workshops, Rio de Janeiro, Brazil, September 19, 2016, Revised Papers |
Startpage: | 428 |
Endpage: | 439 |
Publisher/Platform: | Springer |
Year of Publication: | 2017 |
Place of publication: | Cham |
Title of the Conference: | BPM 2016 |
Place of the conference: | Rio de Janeiro, Brazil |
Publikation type: | Conference Paper |
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. |
DOI of the first publication: | 10.1007/978-3-319-58457-7_31 |
URL of the first publication: | https://link.springer.com/chapter/10.1007/978-3-319-58457-7_31 |
Link to this record: | hdl:20.500.11880/30710 http://dx.doi.org/10.22028/D291-33384 |
ISBN: | 978-3-319-58457-7 978-3-319-58456-0 |
Date of registration: | 22-Feb-2021 |
Notes: | Lecture notes in business information processing ; 281 |
Faculty: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Department: | HW - Wirtschaftswissenschaft |
Professorship: | HW - Prof. Dr. Peter Loos |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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