The Impact of Intelligent Digital Technologies on Organizational Resilience: Systematic Literature Review (SLR) and Bibliometric Analysis
Abstract
Abstrait: As organizations face increased uncertainty and disruption, developing organizational resilience has become one of the most critical issues. However, research on the impact of Intelligent Digital Technologies (IDT) (e.g., AI and Business Intelligence, Big Data Analytics) on developing organizational resilience in combination with dynamic capabilities and organizational learning has not been extensively researched. This study synthesizes existing literature addressing how these technologies impact the development of resilience practices. The authors conducted a systematic literature review using major research databases to locate 71 peer-reviewed articles published between 2020 and 2025. The authors used bibliometric analysis with VOSviewer to map thematic structures and citation networks. The findings of this study identify two key themes: (1) Intelligent Technologies create mechanisms for anticipating, adapting, and learning from uncertainty; (2) Digital transformation serves as a strategic resilience driver. The bibliometric mapping revealed four key clusters relating to resilience, risk management, cyber security, decision making, and digital governance. Based on the findings of this study, the authors conclude that when Intelligent Digital Technologies are used in combination with human, cultural, and governance factors, they have a significant positive effect on developing organizational resilience. In addition, future research should provide a framework for integrating technology adoption and managerial competencies to effectively address uncertainty in today's volatile environment.
Fields of Study & Subjects
Corporate Management and Leadership
Supply Chain Resilience and Risk Management
Impact of AI and Big Data on Business and Society
Publication details
- Journal / source
- International Journal of Accounting, Finance, Auditing, Management and Economics
- Publication date
- 29 January 2026
- Language
- EN