Redefining Organizational Resilience and Success: A Natural Language Analysis of Strategic Domains, Semantics, and AI Opportunities

Organizational resilience and long-term success have become essential capabilities in turbulent and uncertain environments. This study redefines these concepts by applying a natural language analysis to a corpus of 1597 peer-reviewed publications retrieved from Web of Science and Scopus. The methodology adopts a three-level framework: first, a thematic clustering of literature into strategic domains; second, a semantic comparison of classical and emerging terms; and third, the mapping of artificial intelligence (AI) opportunities. The results identify five overarching domains: Health and Wellbeing; Organizations, HR and Leadership; Strategy, Innovation, and Culture; Education, Knowledge and Communities; and Society, Environment and Development. These domains illustrate how resilience and success are addressed at micro, meso, and macro levels. Semantically, the discourse expands from traditional notions such as robustness, risk management, and performance towards more human-centered, systemic, and digitally enabled perspectives. The study further highlights how AI functions both as a methodological tool and as a strategic enabler, with applications ranging from predictive health analytics and leadership support systems to foresight tools and sustainability monitoring. The findings contribute to organizational resilience theory and offer practitioners actionable pathways to strengthen resilience and competitiveness in the face of volatility, uncertainty, complexity, and ambiguity.