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March 28, 2026

Artificial Intelligence and Organizational Agility: A Bibliometric Analysis

LCLucie Klaubenschalk Chytilová MMMaria Antonina Mach-Król

Key Points

To map the connection between artificial intelligence and organizational agility through bibliometric analysis.
Conducted bibliometric analysis using SPAR-4-SLR protocol on 123 journal articles from Scopus and Web of Science.
Utilized performance analysis, co-citation, bibliographic coupling, and thematic mapping techniques.
Examined literature across fields such as human resource management and digital transformation.
Identified three developmental phases of AI-agility research from 1997 to 2025.
Established four major research themes including AI assimilation, generative AI, AI in supply chains, and its impact on leadership.
Found that research is rooted in information systems alignment and dynamic capabilities.

Abstract

This bibliometric analysis maps the evolution, foundations and emerging themes linking artificial intelligence (AI) with organizational agility (OA). Synthesizing fragmented literature across human resource management, governance, digital transformation and operations, it provides a consolidated science map of AI-agility scholarship. Using the SPAR-4-SLR protocol, 123 journal articles from Scopus and Web of Science (up to October 2025) were analysed via performance analysis, co-citation, bibliographic coupling and thematic mapping. Findings reveal three developmental phases (1997–2012; 2013–2018; 2019–2025) and demonstrate that AI-agility research is anchored in information systems alignment and dynamic capabilities. Four major research fronts emerge: AI assimilation and strategic agility, generative AI in management, AI-enabled supply-chain agility, and AI’s impact on leadership and work practices. Future directions include generative AI, blockchain and human-centred AI.

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