Please use this identifier to cite or link to this item: doi:10.22028/D291-33384
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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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