The Impact of Artificial Intelligence on Quality and Sustainable Development: a Bibliometric Analysis
Abstract
Purpose: This bibliometric study aims to analyse the impact of artificial intelligence (AI) on quality and sustainable development.
Methodology/Approach: The research employed the InOrdinatio method, complemented by R Studio and the Bibliometrix package, to conduct a comprehensive review of scientific publications from 2000 to 2024.
Findings: The results reveal a significant annual growth rate of 25% in scientific production, accumulating 925 documents. AI has been widely applied to optimise organisational quality processes, particularly in manufacturing and technology sectors. Furthermore, AI has contributed to sustainable development by enhancing resource management and promoting sustainable practices. The study highlights strong international collaboration, with China, the United States, and India leading scientific output.
Research Limitation/Implication: Despite the increasing convergence of AI, quality, and sustainability, the study identifies gaps in research integration across underrepresented regions and a lack of focus on emerging areas.
Originality/Value of paper: This study provides a structured bibliometric analysis, shedding light on the evolving role of AI in enhancing quality management and fostering sustainability. The findings contribute to future research directions by identifying key trends, challenges, and opportunities for innovation.
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Copyright (c) 2025 Genny Navarro, José Bayona
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