Sustainable Development Projects Implementing in BANI Environment Based on AI Tools

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.

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Publication Details

Journal
Sustainability
Published
2025-03-16
DOI
https://doi.org/10.3390/su17062607
Citations
8
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
9.94
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article

Sustainable Development Projects Implementing in BANI Environment Based on AI Tools

Andrii Galkin, Igor Chumachenkо, Sergey Bushuyev, Nataliia Dotsenko et al.
8 citations
Sustainability
Digital Transformation in Industry
9.94
article

Sustainable Development Projects Implementing in BANI Environment Based on AI Tools

Andrii Galkin, Igor Chumachenkо, Sergey Bushuyev, Nataliia Dotsenko, Денис Бушуєв
article en
8 citations

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.

SustainabilityVol. 17(6)
University of Antwerp (BE), Kyiv National University of Construction and Architecture (UA), O.M. Beketov National University of Urban Economy in Kharkiv (UA)
Openalex Percentile: Top 2%
Digital Transformation in Industry
9.94
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