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Title:
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SUSTAINABILITY TRACING FOR COMPANIES: GOVERNANCE, REGULATION, ECONOMICAL AND ETHICAL CONSIDERATIONS |
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Author(s):
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Galena Pisoni, Bálint Molnár, Szabolcs Korba and Maria Moloney |
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ISBN:
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978-989-8704-56-6 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Sustainability, Enterprise Architectures, Business Intelligence Reporting, Data Analytics, Data-driven Decision Making, ESG |
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Type:
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Short |
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First Page:
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136 |
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Last Page:
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140 |
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Language:
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English |
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Cover:
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Full Contents:
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Paper Abstract:
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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. |
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