Pisoni, Galena ORCID: https://orcid.org/0000-0002-3266-1773, Molnár, Bálint, Korba, Szabolcs and Moloney, Maria (2024) Sustainability tracing for companies: governance, regulation, economical and ethical considerations. In: Nunes, Miguel Baptista, Isaías, Pedro and Powell, Philip, (eds.) Proceedings of the 17th IADIS International Conference. IADIS, pp. 136-140

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Abstract

The proliferation of big data has led to a data explosion, which has surpassed enterprises' ability to appropriately analyse the multitude of data types that now exist. Arguably, one such data type that is challenging for companies to currently exploit but that would benefit greatly from big data analytics is tracing their sustainability performance. Currently, there is consensus in the literature that sustainability tracing based on big data analytics can have a considerable impact in achieving improved organizational sustainability. In a previous paper, we proposed an AI-based framework which uses ESG data to predict and forecast the sustainability performance of companies, and we reflected on how companies could use our framework to implement their enterprise architectures. In this paper, we reflect how our framework can be transformed into a platform solution for ESG data analysis. Our paper contributes to the literature in two ways, firstly by analysing, the regulatory, ethical, and legal opportunities and challenges associated with such am AI platform implementation scenario and secondly by leveraging this platform implementation to outline how companies can use data as a strategic asset for sustainability decision-making.

Item Type:	Book Section
Status:	Published
School/Department:	York Business School
URI:	https://ray.yorksj.ac.uk/id/eprint/10759

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