Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
International Journal of Logistics Management
; 33(3):744-772, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1985302
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.
Business And Economics--Management; Artificial intelligence; Structural equation modeling; Supply chain risk mitigation; Agriculture supply chain (ASC); Agriculture; Labor shortages; Technology adoption; Food security; Global economy; Startups; Decision making; Pandemics; Medical research; Internet of Things; Supply chains; Developing countries--LDCs; Operations management; Coronaviruses; COVID-19; India
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Experimental Studies
/
Prognostic study
Language:
English
Journal:
International Journal of Logistics Management
Year:
2022
Document Type:
Article
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