How does artificial intelligence capacity enhance the production system resilience and operational performance? A human-organization-technology fit perspective

Artificial Intelligence (AI) capabilities are increasingly pivotal for enhancing production system resilience in today's volatile business environments. However, the integration of AI technologies with established organizational information processing and decision-making frameworks remains inadequately understood. Grounded in the Human-Organization-Technology (HOT) fit theory, this study investigates how AI capacity positively influences a firm’s operational performance. Using multi-wave survey data collected from 305 manufacturing firms via a professional online platform during the COVID-19 pandemic, we identify critical factors that reinforce this positive effect and elucidate its underlying mechanisms, with particular emphasis on how AI reconfigures organizational information flows and knowledge practices. Partial least squares-based structural equation modeling was employed to test the hypothesized model. The findings reveal a significant positive impact of AI capacity on production system resilience. Furthermore, production system resilience itself exerts a strong positive influence on operational performance. Crucially, production system resilience serves as a key mediating mechanism, through which AI capacity indirectly enhances operational performance. Finally, the degree of fit, conceptualized across task-tool, human-tool, and data-tool dimensions, moderates the positive effect of AI capacity on production system resilience. This research is contextualized within the Chinese manufacturing sector, a major global production hub, and enriches the theoretical discourse on AI capacity and production system resilience from an information management perspective, highlighting its transformative role in organizational information flows, knowledge creation, and data-driven decision processes. • AI Capacity: Enhances production resilience through predictive, data-driven, and adaptive decision-making. • Resilience Mediation: Resilience links AI capacity to improved operational performance. • Fit Moderation: Strong human–organization–technology fit amplifies AI’s positive effects on resilience and performance.

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Publication Details

Journal
International Journal of Information Management
Published
2025-12-23
DOI
https://doi.org/10.1016/j.ijinfomgt.2025.103023
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
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article

How does artificial intelligence capacity enhance the production system resilience and operational performance? A human-organization-technology fit perspective

Xinyu Jiang, Junbin Wang, V.G. Venkatesh, Yangyan Shi
1 citations
International Journal of Information Management
Supply Chain Resilience and Risk Management
2.23
article

How does artificial intelligence capacity enhance the production system resilience and operational performance? A human-organization-technology fit perspective

Xinyu Jiang, Junbin Wang, V.G. Venkatesh, Yangyan Shi
article en
1 citations

Abstract

Artificial Intelligence (AI) capabilities are increasingly pivotal for enhancing production system resilience in today's volatile business environments. However, the integration of AI technologies with established organizational information processing and decision-making frameworks remains inadequately understood. Grounded in the Human-Organization-Technology (HOT) fit theory, this study investigates how AI capacity positively influences a firm’s operational performance. Using multi-wave survey data collected from 305 manufacturing firms via a professional online platform during the COVID-19 pandemic, we identify critical factors that reinforce this positive effect and elucidate its underlying mechanisms, with particular emphasis on how AI reconfigures organizational information flows and knowledge practices. Partial least squares-based structural equation modeling was employed to test the hypothesized model. The findings reveal a significant positive impact of AI capacity on production system resilience. Furthermore, production system resilience itself exerts a strong positive influence on operational performance. Crucially, production system resilience serves as a key mediating mechanism, through which AI capacity indirectly enhances operational performance. Finally, the degree of fit, conceptualized across task-tool, human-tool, and data-tool dimensions, moderates the positive effect of AI capacity on production system resilience. This research is contextualized within the Chinese manufacturing sector, a major global production hub, and enriches the theoretical discourse on AI capacity and production system resilience from an information management perspective, highlighting its transformative role in organizational information flows, knowledge creation, and data-driven decision processes. • AI Capacity: Enhances production resilience through predictive, data-driven, and adaptive decision-making. • Resilience Mediation: Resilience links AI capacity to improved operational performance. • Fit Moderation: Strong human–organization–technology fit amplifies AI’s positive effects on resilience and performance.

International Journal of Information ManagementVol. 87
Suzhou University of Technology (CN), Shanghai Normal University (CN), Jiangsu University of Technology (CN), EM Normandie Business School (FR), Métis-Lab (FR), Capital University of Economics and Business (CN), Macquarie University (AU)
Openalex Percentile: Top 8%
Supply Chain Resilience and Risk Management
2.23
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