Employing artificial intelligence to improve the supply chain’s resilience and performance: Moderating the impact of supply chain dynamics

The study aims to explore the direct and indirect effects of artificial intelligence on resilience and performance in a modern supply chain evolution environment. The email survey reached 208 companies from Jordan registered with the Jordanian Industry and Commerce, and results were collected using structural equation modeling analysis. The results show the impact of artificial intelligence on overall supply chain performance. However, similar output is only achievable using its equipage capability to return data to promote the resilience of supply and performance. This paper provides additional standpoints on how to use artificial intelligence to ensure supply chain performance; however, longitudinal research offers deeper insights. Furthermore, this analysis addresses the existing gap in the literature regarding synthetic intelligence. While this study has taken critical measures throughout the research process to ensure safety, it is necessary to note that it is still susceptible to some common boundaries found in survey designs. A longitudinal study might expand the research to examine further aspects of the phenomenon.

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Publication Details

Journal
Problems and Perspectives in Management
Published
2025-03-31
DOI
https://doi.org/10.21511/ppm.23(1).2025.55
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
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article

Employing artificial intelligence to improve the supply chain’s resilience and performance: Moderating the impact of supply chain dynamics

Fayyaz Hussain Qureshi, Sarwar Khawaja, Firas Rashed Wahsheh, Adnan Taha
1 citations
Problems and Perspectives in Management
Supply Chain Resilience and Risk Management
2.23
article

Employing artificial intelligence to improve the supply chain’s resilience and performance: Moderating the impact of supply chain dynamics

Fayyaz Hussain Qureshi, Sarwar Khawaja, Firas Rashed Wahsheh, Adnan Taha
article en
1 citations

Abstract

The study aims to explore the direct and indirect effects of artificial intelligence on resilience and performance in a modern supply chain evolution environment. The email survey reached 208 companies from Jordan registered with the Jordanian Industry and Commerce, and results were collected using structural equation modeling analysis. The results show the impact of artificial intelligence on overall supply chain performance. However, similar output is only achievable using its equipage capability to return data to promote the resilience of supply and performance. This paper provides additional standpoints on how to use artificial intelligence to ensure supply chain performance; however, longitudinal research offers deeper insights. Furthermore, this analysis addresses the existing gap in the literature regarding synthetic intelligence. While this study has taken critical measures throughout the research process to ensure safety, it is necessary to note that it is still susceptible to some common boundaries found in survey designs. A longitudinal study might expand the research to examine further aspects of the phenomenon.

Problems and Perspectives in ManagementVol. 23(1)
Ajloun National University (JO)
Openalex Percentile: Top 13%
Supply Chain Resilience and Risk Management
2.23
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