Exploring Artificial Intelligence’s Contribution to Organizational Sustainability Through a Literature Review

The contemporary business landscape is increasingly defined by the imperative of integrating technological innovation with robust sustainability responsibilities amidst growing environmental and social challenges. This Systematic Literature Review (SLR) meticulously explores Artificial Intelligence’s pivotal contribution to organizational sustainability, specifically assessing AI’s capacity to enhance business sustainability through optimized management of organizational information, data, and knowledge systems. Employing a stringent systematic literature review methodology, structured according to PRISMA protocols, this research comprehensively analyzed 176 peer-reviewed publications meticulously sourced from the Scopus database, covering the critical period from 2020 to 2025. Our findings unequivocally demonstrate that AI adoption for business sustainability spans across a broad spectrum of diverse sectors, with technology-related domains consistently emerging as the most prevalent areas of application. The integration of AI is strongly recognized as a formidable driving force for fostering profound innovation, significantly augmenting operational efficiencies, and facilitating the development of crucial organizational knowledge vital for sustainable practices. Furthermore, this review highlights existing significant research gaps, particularly the limited understanding of specific mechanisms and boundary conditions that critically influence the effectiveness of AI implementation in achieving desired sustainability performance within varied business contexts. In conclusion, this study underscores AI’s profound and transformative role as an indispensable enabler for comprehensive Business Sustainability processes, emphasizing the strategic imperative for organizations to effectively harness AI technologies to meet complex environmental, social, and economic goals, thereby securing long-term competitive advantages and fostering responsible growth in the digital era.

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Published
2025-08-15
DOI
https://doi.org/10.1109/iccit65724.2025.11167462
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

Exploring Artificial Intelligence’s Contribution to Organizational Sustainability Through a Literature Review

Danang Prihandoko, Sinyo Junior Koloay
1 citations
Digital Transformation in Industry
1.24
article

Exploring Artificial Intelligence’s Contribution to Organizational Sustainability Through a Literature Review

Danang Prihandoko, Sinyo Junior Koloay
article en
1 citations

Abstract

The contemporary business landscape is increasingly defined by the imperative of integrating technological innovation with robust sustainability responsibilities amidst growing environmental and social challenges. This Systematic Literature Review (SLR) meticulously explores Artificial Intelligence’s pivotal contribution to organizational sustainability, specifically assessing AI’s capacity to enhance business sustainability through optimized management of organizational information, data, and knowledge systems. Employing a stringent systematic literature review methodology, structured according to PRISMA protocols, this research comprehensively analyzed 176 peer-reviewed publications meticulously sourced from the Scopus database, covering the critical period from 2020 to 2025. Our findings unequivocally demonstrate that AI adoption for business sustainability spans across a broad spectrum of diverse sectors, with technology-related domains consistently emerging as the most prevalent areas of application. The integration of AI is strongly recognized as a formidable driving force for fostering profound innovation, significantly augmenting operational efficiencies, and facilitating the development of crucial organizational knowledge vital for sustainable practices. Furthermore, this review highlights existing significant research gaps, particularly the limited understanding of specific mechanisms and boundary conditions that critically influence the effectiveness of AI implementation in achieving desired sustainability performance within varied business contexts. In conclusion, this study underscores AI’s profound and transformative role as an indispensable enabler for comprehensive Business Sustainability processes, emphasizing the strategic imperative for organizations to effectively harness AI technologies to meet complex environmental, social, and economic goals, thereby securing long-term competitive advantages and fostering responsible growth in the digital era.

Binus University (ID)
Openalex Percentile: Top 15%
Digital Transformation in Industry
1.24
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