Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
The International Journal of Logistics Management
ISSN: 0957-4093
Article publication date: 5 July 2021
Issue publication date: 9 August 2022
Abstract
Purpose
In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).
Design/methodology/approach
This study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.
Findings
This study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.
Originality/value
This study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.
Keywords
Acknowledgements
This paper forms part of a special section “Operational excellence in the supply chain of perishables at the time of the outbreak”, guest edited by Sachin Kumar Mangla, Gunjan Soni, Michael Bourlakis and Vikas Kumar.
Citation
Nayal, K., Raut, R., Priyadarshinee, P., Narkhede, B.E., Kazancoglu, Y. and Narwane, V. (2022), "Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic", The International Journal of Logistics Management, Vol. 33 No. 3, pp. 744-772. https://doi.org/10.1108/IJLM-12-2020-0493
Publisher
:Emerald Publishing Limited
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