Work

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

Year: 2025

Type: article

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.

Source: Problems and Perspectives in Management

DOI: 10.21511/ppm.23(1).2025.55

Authors: Adnan Taha, Sarwar Khawaja, Fayyaz Qureshi, Firas Rashed Wahsheh

Institutions: University of Oxford, University of Wales, University of Wales Trinity Saint David, Ajloun National University

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $738