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Can we leverage process data from ERP systems for business process sustainability analyses?
Technical University of Munich, School of CIT, Munich, Germany; SAP Signavio, Berlin, Germany.
Technical University of Munich, School of CIT, Heilbronn, Germany; Weizenbaum Institute, Berlin, Germany.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. SAP Signavio, Berlin, Germany.ORCID-id: 0000-0002-6458-2252
Technical University of Munich, School of CIT, Heilbronn, Germany; Weizenbaum Institute, Berlin, Germany .
2025 (engelsk)Inngår i: Process mining workshops / [ed] Andrea Delgado; Tijs Slaats, Cham: Springer Nature, 2025, s. 764-777Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

Sustainability is an increasingly important issue, which organizations need to take into account when assessing and improving their business processes. Doing so can contribute to enhancing an organisation’s overall sustainability. Green Business Process Management is a line of research concerned with supporting organisations to integrate a sustainability perspective into their processes. However, existing approaches that assess sustainability on activity and process levels using, for instance, Life-Cycle Assessment (LCA) are often time-consuming and complex. Therefore, this work explores whether Key Ecological Indicators (KEIs) used to assess the sustainability of a business process can be calculated using data already available within an organisation. Following a case study methodology, we analyse nine real-world datasets extracted from a business process analysis system of a large enterprise software vendor. Results indicate that current data availability is insufficient for exact assessments. To address this issue, we introduce a high-level conceptual model and provide recommendations for action based on the observations of the case study.

sted, utgiver, år, opplag, sider
Cham: Springer Nature, 2025. s. 764-777
Serie
Lecture Notes in Business Information Processing ; 533
Emneord [en]
Sustainability, Green Business Process Management, Key Ecological Indicators, Process Data Analysis
HSV kategori
Forskningsprogram
datalogi
Identifikatorer
URN: urn:nbn:se:umu:diva-237257DOI: 10.1007/978-3-031-82225-4_56Scopus ID: 2-s2.0-105002042355OAI: oai:DiVA.org:umu-237257DiVA, id: diva2:1949924
Konferanse
ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024
Tilgjengelig fra: 2025-04-03 Laget: 2025-04-03 Sist oppdatert: 2025-05-06bibliografisk kontrollert

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