AI implementation, SDG achievement, and firm performance: literature synthesis and future research directions

Chaudhary, Amit Kumar ORCID: https://orcid.org/0000-0003-2434-3895 and Bagchi, Samrat (2026) AI implementation, SDG achievement, and firm performance: literature synthesis and future research directions. Information Technology and Management. ISSN 1385-951X (In Press)

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Abstract

Advanced technologies like Artificial Intelligence (AI) have shown great potential in achieving Sustainable Development Goals (SDGs), yet, little is known on how they influence the key factors that drive firm SDG achievement. This study conducts a systematic literature review and synthesizes scholarly articles, identifying nine theoretical concepts and presenting testable propositions. It argues that the extent of AI implementation strengthens both the internal and external factors driving SDG achievement, ultimately enhancing firm’s environmental and financial performance. The study also identifies key theories and perspectives used in extant literature and proposes multiple research questions to guide future research. Our findings hold implications for practitioners and scholars, demonstrating how organizations can effectively leverage AI for SDG achievement while also benefitting from superior environmental and financial performance.

Item Type: Article
Uncontrolled Keywords: Artificial Intelligence | Data-driven culture | Environmental performance | SDG achievement | AI-SDG research | Sustainability
Subjects: Social Sciences and humanities > Business, Management and Accounting > Strategy and Management
Physical, Life and Health Sciences > Computer Science
Depositing User: Mr. Syed Anas Ali
Date Deposited: 01 Jul 2026 11:36
Last Modified: 03 Jul 2026 10:14
Official URL: https://doi.org/10.1007/s10799-026-00503-7
URI: https://pure.jgu.edu.in/id/eprint/11897

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