Adaptive AI systems and organizational resilience: a multi-level analysis of digital mindset, decision autonomy, and strategic performance

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Authors: Baoqing Yu, Nur Sayidah, Bambang Raditya Purnomo
Cited by: 1

Abstract

This paper examines how adaptive AI systems influence organizational resilience during the COVID-19 pandemic, specifically through the mediating role of the digital mindset and decision-making autonomy. Based on dynamic capabilities theory, the paper develops an innovative conceptual framework that recognizes adaptive AI systems within an integrated technological system that supports the organization's sensing and response capacities during a crisis. Using the Flash Eurobarometer 486 survey conducted in April and May 2020, this study collected data from 12,108 SMEs across 27 European Union member states. The direct effect, mediated relationship, and cross-level interaction strategies employed hierarchical linear models and bootstrap-mediated models with 5,000 iterations. The empirical evidence reveals a significant positive relationship between AI systems and organizational resilience, reducing the odds by 2.342 times (p

Fields of Study & Subjects

Supply Chain Resilience and Risk Management Digital Transformation in Industry Technostress in Professional Settings

Publication details

Journal / source
Future Technology
Publisher
Future Publishing LLC
Volume
5
Issue
1
Pages
209–221
Publication date
24 January 2026