Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation
Open accessAbstract
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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AIC is increasingly a critical and intangible resource for business performance advancement.
“Artificial intelligence capability is increasingly a critical and intangible resource for business performance advancement (Belhadi et al., 2021; Lou and Wu, 2021; Mikalef and Gupta, 2021).”
From The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms (2022) · cites this paper as Belhadi et al., 2021
ED positively moderates the relationship between AIM and AIDDM (β = 0.139; p < 0.001).
“ED showed a positive moderating effect on the relationship between AIM and AIDDM (β = 0.139; p < 0.001).”
From The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms (2022) · cites this paper as Belhadi et al., 2021
ED affects internal management and decision-making.
“Though external elements mainly influence ED, it affects internal management and decision-making (Belhadi et al., 2021).”
From The Impact of Artificial Intelligence on Firm Performance: An Application of the Resource-Based View to e-Commerce Firms (2022) · cites this paper as Belhadi et al., 2021
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- Authors
- Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S.
- Affiliations
- Cadi Ayyad University (MA)
- MBS School of Business (FR)
- Ecole des Hautes Etudes Commerciales du Nord (FR)
- Tsinghua University (CN)
- University of Southern Denmark (DK)
- Corresponding author
- Mani, Venkatesh
- Venue
- Annals of Operations Research
- Published
- 2021-02-03
- Volume
- 333
- Issue
- 2-3
- Pages
- 627-652
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- PMC
- PMC7856338
- OpenAlex
- W3126924255
- Cited by
- 797
- References
- 100
- Citations by year
- 2026: 200 · 2025: 273 · 2024: 160 · 2023: 88 · 2022: 57 · 2021: 18
- FWCI
- 72.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Annals of Operations Research (publishedVersion)
- PubMed Central (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Business, Management and Accounting › Management Information Systems › Supply Chain and Inventory Management
- Keywords
- artificial intelligence, supply chain resilience, supply chain performance, organizational information processing theory, supply chain uncertainty, supply chain disruption, AI capabilities
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