Abstract
Climate change risks permeate all economic sectors [1]. As Environmental, Social, and Governance (ESG) initiatives expand and reporting obligations adapt to the dynamic evolution of ESG, several challenges arise. There is a pressing demand for tools that address these ESG-related deficiencies, data infrastructure challenges, and technical constraints while enhancing domain expertise engagement. In our research, we design top-down architecture and framework to serve and satisfy ESG user requirements among jurisdictions and guide bottom-up ESG data infrastructure. In addition, we define the nature of the ESG analytic data pipeline, embedding models and metrics. Our contribution will lay on three aspects. First, our research shed light on sustainable financial systems’ framework and architecture development, especially ESG services for decision-making and disclosure. Second, our ESG analytics data pipeline design assists ESG data infrastructure development. Last but not least, our research mitigates misrepresenting the ESG concept and fragmentation of ESG terminology.
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Yu, M. (2024). An ESG Metrics Management System for Sustainable Financial System. In: Sales, T.P., de Kinderen, S., Proper, H.A., Pufahl, L., Karastoyanova, D., van Sinderen, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2023 Workshops . EDOC 2023. Lecture Notes in Business Information Processing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-031-54712-6_22
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DOI: https://doi.org/10.1007/978-3-031-54712-6_22
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