ArticleAnnals of operations research2021
Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation.
Article in Annals of operations research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Artificial intelligence assimilation shapes sustainable performance through dynamic capabilities.Scientific reports · 2026Article
- The role of AI capabilities and entrepreneurial competency in SME performance: the mediating role of strategic intelligence.Frontiers in artificial intelligence · 2026Article
- Generative AI and Blockchain-Integrated Multi-Agent Framework for Resilient and Sustainable Fruit Cold-Chain Logistics.Foods (Basel, Switzerland) · 2025Article
- Research on the impact of smart logistics on the the manufacturing industry chain resilience.Scientific reports · 2025Article
- Should manufacturers choose technological innovation in dual-channel supply chains during emergencies?PloS one · 2025Article
- Information literacy and intention to adopt e-pharmacy: a study based on trust and the theory of reasoned action.BMC health services research · 2024Article
- Article
- Artificial intelligence and green product innovation: Moderating effect of organizational capital.Heliyon · 2024Article
- Digital economy structuring for sustainable development: the role of blockchain and artificial intelligence in improving supply chain and reducing negative environmental impacts.Scientific reports · 2024Article
- Article
- Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review.Frontiers in artificial intelligence · 2024Review
- Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model.International journal of production economics · 2023Article
- Data-Driven Supply Chain Operations-The Pilot Case of Postal Logistics and the Cross-Border Optimization Potential.Sensors (Basel, Switzerland) · 2023Article
- Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors.Computers & industrial engineering · 2023Article
- Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce.Annals of operations research · 2023Article
- Supply chain risk management with machine learning technology: A literature review and future research directions.Computers & industrial engineering · 2023Article
- Product availability and stockpiling in times of pandemic: causes of supply chain disruptions and preventive measures in retailing.Annals of operations research · 2022Article
- How Does Misinformation and Capricious Opinions Impact the Supply Chain - A Study on the Impacts During the Pandemic.Annals of operations research · 2022Article
- Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions.Annals of operations research · 2022Article
- Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review.Annals of operations research · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Supply chain resilience (SCRes) and performance have become increasingly important in the wake of the recent supply chain disruptions caused by subsequent pandemics and crisis. Besides, the context of digitalization, integration, and globalization of the supply chain has raised an increasing awareness of advanced information processing techniques such as Artificial Intelligence (AI) in building SCRes and improving supply chain performance (SCP). The present study investigates the direct and indirect effects of AI, SCRes, and SCP under a context of dynamism and uncertainty of the supply chain. In doing so, we have conceptualized the use of AI in the supply chain on the organizational information processing theory (OIPT). The developed framework was evaluated using a structural equation modeling (SEM) approach. Survey data was collected from 279 firms representing different sizes, operating in various sectors, and countries. Our findings suggest that while AI has a direct impact on SCP in the short-term, it is recommended to exploit its information processing capabilities to build SCRes for long-lasting SCP. This study is among the first to provide empirical evidence on maximizing the benefits of AI capabilities to generate sustained SCP. The study could be further extended using a longitudinal investigation to explore more facets of the phenomenon.
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