Mapping Organizational AI Readiness Research in Business Administration: A Scoping Review
Keywords:
Organizational AI Readiness; Artificial Intelligence Adoption; Digital Transformation; Organizational Capability; Business Administration.Abstract
Purpose The rapid expansion of artificial intelligence (AI) adoption has transformed organizational practices and strategic management; however, research on organizational AI readiness remains conceptually fragmented due to variations in definitions, dimensions, methodological approaches, and contextual applications. This study aims to systematically map the intellectual development of organizational AI readiness research within the field of business administration by identifying conceptual perspectives, methodological patterns, organizational contexts, dominant research themes, and emerging directions for future scholarship.
Methods This study employed a scoping review approach combined with descriptive bibliometric analysis and narrative synthesis. The literature search was conducted using the Scopus database, focusing on peer-reviewed journal articles published in English between 2019 and 2026. Following a PRISMA-informed screening process, 50 articles were selected for analysis. The included studies were examined based on publication trends, research designs, organizational contexts, geographical distributions, thematic orientations, and the evolution of conceptual perspectives.
Findings The review identified 50 eligible studies from 236 initial records. The findings indicate a significant growth in organizational AI readiness research, with the highest publication output recorded in 2024 (11 studies; 22.0%). Empirical studies dominated the literature (30 studies; 60.0%), while private-sector organizations represented the most frequently examined context (21 studies; 42.0%). Thematic synthesis revealed that organizational readiness dimensions were the dominant research theme (18 studies), followed by leadership and governance (10 studies), indicating that AI readiness has increasingly evolved from a technology-focused concept toward a broader organizational capability.
Research Implications This study provides theoretical implications by consolidating dispersed knowledge streams and establishing a foundation for developing integrated organizational AI readiness models within business administration research. Practically, the findings assist organizational leaders and policymakers in understanding that successful AI transformation requires coordinated development of technological resources, governance mechanisms, workforce competencies, and strategic capabilities. The study also highlights the importance of responsible and inclusive AI readiness development to ensure sustainable organizational and societal benefits..
Originality This study contributes to the literature by offering one of the comprehensive mappings of organizational AI readiness research that integrates conceptual, methodological, contextual, and thematic perspectives within a business administration framework. Unlike previous reviews that focus on specific industries or AI adoption factors, this research positions organizational AI readiness as an overarching strategic capability and provides a structured research agenda for advancing future empirical and theoretical investigations.
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