AI-Enhanced Organizational Resilience
Artykuł w czasopiśmie
MNiSW
70
Lista 2024
| Status: | |
| Autorzy: | Panasiewicz Leszek |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2026 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 242 |
| Numer artykułu: | 19 |
| Strony: | 355 - 372 |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 6 marca 2026 |
| Abstrakty: | angielski |
| Purpose: The article identifies and analyzes a new theoretical construct — AI-enhanced organizational resilience. The study explains how employees utilize AI capabilities to suport their own behavioral flexibility, thereby strengthening their organization's ability to cope with unpredictable threats. Design/methodology/approach: A mixed-methods approach was applied, combining a literature review with empirical research. The research was conducted using an original survey questionnaire comprising 65 variables grouped into 19 categories, with a sample of n = 614 respondents. The results were analyzed using exploratory factor analysis (EFA) and linear regression. Findings: A statistically significant construct of AI-enhanced resilience was identified, comprising two dimensions: behavioral flexibility and adaptability, as well as openness to collaboration with AI. The multidimensional nature of the studied phenomenon was confirmed, and key predictors were identified. Research limitations/implications: The cross-sectional design limits our ability to infer causality, and we limited the sample to the Polish organizational context. Practical implications: The results emphasize that organizations should invest in developing employee digital competencies and fostering an organizational culture that supports experimentation with new technologies. Social implications: The study contributes to discussions about the future of work organization in the AI era and highlights the need for organizations to prepare their employees to collaborate with intelligent systems as part of socio-economic resilience. Originality: This work introduces an innovative construct of AI-enhanced resilience and provides the first empirical contribution to understanding how individual AI-supported behaviors can strengthen organizational resilience to unpredictable |
