Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management
- URL: http://arxiv.org/abs/2408.11386v2
- Date: Thu, 12 Sep 2024 12:08:04 GMT
- Title: Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management
- Authors: Finn Klessascheck, Stephan A. Fahrenkrog-Petersen, Jan Mendling, Luise Pufahl,
- Abstract summary: The EU has developed the taxonomy of sustainable activities, which describes when exactly business practices can be considered sustainable.
We investigate in how far these criteria can be used for conformance checking, that is, assessing in a data-driven manner, whether business process executions adhere to regulatory constraints.
We find that many constraints of the taxonomy are useable for conformance checking, particularly in the sectors of energy, manufacturing, and transport.
- Score: 2.474551220017185
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: To promote sustainable business practices, and to achieve climate neutrality by 2050, the EU has developed the taxonomy of sustainable activities, which describes when exactly business practices can be considered sustainable. While the taxonomy has only been recently established, progressively more companies will have to report how much of their revenue was created via sustainably executed business processes. To help companies prepare to assess whether their business processes comply with the constraints outlined in the taxonomy, we investigate in how far these criteria can be used for conformance checking, that is, assessing in a data-driven manner, whether business process executions adhere to regulatory constraints. For this, we develop a few-shot learning pipeline to characterize the constraints of the taxonomy with the help of an LLM as to the process dimensions they relate to. We find that many constraints of the taxonomy are useable for conformance checking, particularly in the sectors of energy, manufacturing, and transport. This will aid companies in preparing to monitor regulatory compliance with the taxonomy automatically, by characterizing what kind of information they need to extract, and by providing a better understanding of sectors where such an assessment is feasible and where it is not.
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