Can we leverage process data from ERP systems for business process sustainability analyses?
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| Title: | Can we leverage process data from ERP systems for business process sustainability analyses? |
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| Authors: | Schäfer, Dominik, Klessascheck, Finn, Kampik, Timotheus, 1989, Pufahl, Luise |
| Source: | Process mining workshops Lecture Notes in Business Information Processing. :764-777 |
| Subject Terms: | Sustainability, Green Business Process Management, Key Ecological Indicators, Process Data Analysis, Computer Science, datalogi |
| Description: | 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. |
| File Description: | electronic |
| Access URL: | https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-237257 https://doi.org/10.1007/978-3-031-82225-4_56 |
| Database: | SwePub |
Nájsť tento článok vo Web of Science | Abstract: | 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. |
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| DOI: | 10.1007/978-3-031-82225-4_56 |