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Sustainable Development Projects Implementing in BANI Environment Based on AI Tools

Author

Listed:
  • Sergey Bushuyev

    (Department of Project Management, Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, 03680 Kyiv, Ukraine)

  • Igor Chumachenko

    (Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61001 Kharkiv, Ukraine)

  • Andrii Galkin

    (Department of Transport and Regional Economics, University of Antwerp, 2000 Antwerp, Belgium
    Transport System and Logistics Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61001 Kharkiv, Ukraine)

  • Denis Bushuiev

    (Department of Project Management, Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, 03680 Kyiv, Ukraine)

  • Nataliia Dotsenko

    (Project Management in Urban Management and Construction Department, O.M. Beketov National University of Urban Economy in Kharkiv, 61001 Kharkiv, Ukraine)

Abstract

This study proposes a conceptual framework for applying artificial intelligence (AI) to sustainable development projects, emphasizing its role in mitigating risks, enhancing flexibility, and fostering resilience. A case study analysis demonstrates the practical application of AI tools in optimizing project outcomes while aligning with global sustainability goals. The findings underscore the transformative potential of AI in enabling sustainable practices and achieving long-term success in the BANI (brittle, anxious, nonlinear, incomprehensible) environment. This research contributes to the growing discourse on digital transformation and sustainability by presenting actionable strategies for project managers and stakeholders. To highlight this study’s quantitative findings, key numerical estimates derived from the case study and model validation have been incorporated into the abstract, showcasing AI’s measurable impact on project resilience, efficiency, and stakeholder confidence.

Suggested Citation

  • Sergey Bushuyev & Igor Chumachenko & Andrii Galkin & Denis Bushuiev & Nataliia Dotsenko, 2025. "Sustainable Development Projects Implementing in BANI Environment Based on AI Tools," Sustainability, MDPI, vol. 17(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2607-:d:1613280
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    References listed on IDEAS

    as
    1. Nataliia Dotsenko & Dmytro Chumachenko & Igor Chumachenko & Andrii Galkin & Tomasz Lis & Marek Lis, 2021. "Conceptual Framework of Sustainable Management of the Process of Forming a Project Team with Functional Redundancy," Energies, MDPI, vol. 14(24), pages 1-22, December.
    2. Luca Preite & Federico Solari & Giuseppe Vignali, 2023. "Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review," Sustainability, MDPI, vol. 15(7), pages 1-28, March.
    3. Roper, Stephen & Du, Jun & Love, James H., 2008. "Modelling the innovation value chain," Research Policy, Elsevier, vol. 37(6-7), pages 961-977, July.
    4. Fraisse, Henri & Laporte, Matthias, 2022. "Return on investment on artificial intelligence: The case of bank capital requirement," Journal of Banking & Finance, Elsevier, vol. 138(C).
    Full references (including those not matched with items on IDEAS)

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