Journal
Sustainable Technology and Entrepreneurship
Publisher
Elsevier
Record source
DOAJ Research Library
Abstract / Description
Sustainable technology infrastructures are becoming increasingly important for organizations operating in environments characterized by volatility, uncertainty, and systemic disruption. Among emerging digital infrastructures, AI-enabled information systems integrating satellite data, geospatial intelligence, and machine learning provide new capabilities for supporting strategic decision-making under uncertainty. However, empirical understanding of how these externally distributed intelligence systems contribute to organizational resilience remains limited. Drawing on dynamic capabilities theory and contingency theory, this study examines how AI-enabled external intelligence enhances corporate crisis resilience through Geo-Temporal Strategic Agility, conceptualized as a higher-order capability enabling firms to interpret and act upon spatial-temporal information in real time. The study further investigates whether industry disruption sensitivity conditions these relationships. Using survey data collected from 237 senior managers across disruption-sensitive industries, the study employs structural equation modelling to test a moderated mediation framework. The findings indicate that AI-enabled external intelligence positively influences corporate crisis resilience both directly and indirectly through Geo-Temporal Strategic Agility. In addition, the results show that these relationships are significantly stronger in industries characterized by high disruption sensitivity. This study contributes to the literature by reconceptualizing organizational sensing as an externally augmented, AI-enabled decision-support capability rather than a purely internal process. It further introduces Geo-Temporal Strategic Agility as a novel mechanism linking external intelligence to adaptive strategic action and resilience outcomes. Practically, the findings provide guidance for managers and policymakers seeking to leverage AI-enabled information systems as sustainable technology infrastructures for enhancing organizational resilience in complex and disruption-prone environments.