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Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
参考中译:探索人工智能在管理农业供应链风险中的作用以应对新冠肺炎疫情的影响


          

刊名：The International Journal of Logistics Management
作者：Kirti Nayal（Department of Operations and Supply Chain Management）
Rakesh Raut（Department of Operations and Supply Chain Management）
Pragati Priyadarshinee（Chaitanya Bharathi Institute of Technology）
Balkrishna Eknath Narkhede（Department of Operations and Supply Chain Management）
Yigit Kazancoglu（Department of International Logistics Management）
Vaibhav Narwane（K.J. Somaiya College of Engineering）
刊号：714C0373
ISSN：0957-4093
出版年：2022
年卷期：2022, vol.33, no.3
页码：744-772
总页数：29
分类号：F252
关键词：Artificial intelligence；Structural equation modeling；Supply chain risk mitigation；Agriculture supply chain (ASC)
参考中译：人工智能；结构方程建模；供应链风险缓解；农业供应链(ASC)
语种：eng
文摘：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.
参考中译：目的-在印度，人工智能(AI)在供应链管理(SCM)中的应用仍处于起步阶段。因此，本文旨在研究影响人工智能应用的因素，并验证人工智能对供应链风险缓解的影响。设计/方法/方法-本研究探讨了基于技术、组织和环境(TOE)框架的因素和其他三个因素(包括供应链集成(SCI)、信息共享(IS)和过程因素(PF))对人工智能采用的影响。调查的数据来自297名来自印度农产工业的受访者，并使用结构方程模型(SEM)来检验所提出的假设。研究结果表明，流程因素、信息共享和供应链整合(SCI)对人工智能的采用起着至关重要的作用，而人工智能对供应链管理有积极的影响。技术、组织和环境因素与人工智能之间存在不显著的负相关关系。原创性/价值-这项研究为研究人员、院士、政策制定者、创新项目处理者、技术服务提供商和经理提供了见解，以更好地了解人工智能采用的作用以及人工智能在降低因新冠肺炎疫情等中断造成的供应链风险方面的重要性。



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