AI-Driven Sustainability Strategies: A Business Model for Emerging Economies

  • David Garcia Arango Universidad Autónoma of Peru
DOI: https://doi.org/10.17981/ijmsor.v10i1.133
Keywords: business sustainability, artificial intelligence, emerging economies, ESG, digital governance, adaptive models

Abstract

Artificial intelligence (AI) and business sustainability have emerged as critical drivers of organizational transformation in emerging economies; however, the absence of integrative frameworks that connect technological, organizational, and strategic dimensions limits their effective implementation. This study develops an adaptive AI-driven business sustainability model through a sequential mixed-methods design applied to 25 Latin American companies. The research combines exploratory factor analysis, hierarchical clustering, multiple correspondence analysis, and qualitative coding of semi-structured interviews to identify structural patterns and emerging variables. The results reveal three core dimensions—sustainable productivity, ethical algorithmic governance, and smart environmental management—along with four technological adoption profiles and seven key emerging variables associated with ESG integration. Based on these findings, a systemic framework structured across operational, organizational, and strategic levels is proposed, incorporating feedback mechanisms to enable progressive and context-sensitive implementation. This study contributes to the literature by providing empirically grounded evidence and a scalable roadmap for aligning AI capabilities with sustainability goals, positioning AI as a systemic enabler of responsible and adaptive transformation in high-uncertainty environments.

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Published
2025-04-15
How to Cite
Arango, D. (2025). AI-Driven Sustainability Strategies: A Business Model for Emerging Economies. International Journal of Management Science and Operations Research, 10(1), 22-38. https://doi.org/10.17981/ijmsor.v10i1.133
Issue
Vol 10 No 1 (2025): January - December
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PAPERS
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