AI-Based Solution for Sustainability Tracing for Companies

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Author(s): Galena Pisoni (York St John University, UK)and Bálint Molnár (Eötvös Loránd University, Hungary)
Copyright: 2024
Volume: 20
Issue: 1
Pages: 17
Source title: International Journal of Knowledge Management (IJKM)
Editor(s)-in-Chief: Hakikur Rahman (International Standard University (ISU), Bangladesh)
DOI: 10.4018/IJKM.340723

Keywords: Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

Many companies look for novel ways to trace their operational sustainability. The application of AI to analyze and make sense of the big data the company holds represents one promising approach for this aim. The authors study how one can set and design an AI-based solution for improving the sustainability of complex business processes and decision-making in companies of different types. First, they provide a general analysis of current frameworks for measuring adherence to sustainability goals for companies, then they present a conceptual framework and architecture design for an AI-enabled sustainability service for companies. The implications of our research suggest that AI can provide distinct functions: (a) automation: taking big data from different departments and analyzing them with the aim of tracing the sustainability of the company; (b) support: to help decision-making and create relevant insights for stakeholders that are coherent with defined sustainability decision criteria. To the authors' knowledge, no previous research has provided analysis and design of such AI solution for companies.

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AI-Based Solution for Sustainability Tracing for Companies

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