ISSN: 2222-6990
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The adoption of Artificial Intelligence (AI) is accelerating globally, driven by its potential to enhance organizational efficiency and enable smarter decision-making. However, the resulting literature on AI readiness is fragmented, creating a need to synthesize findings and identify critical research gaps. This study provides a bibliometric analysis of the field, analysing 225 Scopus documents from 2016 to 2025 using Biblioshiny to examine publication trends, key contributors, and thematic structures. Findings reveal an exponential growth in research, with over 93% of publications appearing since 2020. The analysis highlights a fundamental divergence between the field's technology-centric foundations and its expanding focus on socio-technical factors, alongside a democratization of research evidenced by rising contributions from emerging economies like India, Indonesia, and Malaysia. By identifying the field's core research themes and specific gaps, such as the need for integrated models and studies in under-explored sectors like public procurement, finance, and security, this study offers a foundational overview and a clear trajectory for future inquiry.
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