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AI-Based Solution for Sustainability Tracing for Companies

Author

Listed:
  • Galena Pisoni

    (York St John University, UK)

  • Bálint Molnár

    (Eötvös Loránd University, Hungary)

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.

Suggested Citation

  • Galena Pisoni & Bálint Molnár, 2024. "AI-Based Solution for Sustainability Tracing for Companies," International Journal of Knowledge Management (IJKM), IGI Global, vol. 20(1), pages 1-17, January.
    • Handle: RePEc:igg:jkm000:v:20:y:2024:i:1:p:1-17
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKM.340723
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    References listed on IDEAS

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    1. Hedva Vinarski Peretz, 2020. "A view into managers’ subjective experiences of public service motivation and work engagement: a qualitative study," Public Management Review, Taylor & Francis Journals, vol. 22(7), pages 1090-1118, June.
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