The Role of Artificial Intelligence in Supply Chain Agility: A Perspective of Humanitarian Supply Chain

Elisabeth T. Pereira, Muhammad Noman Shafique
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Abstract

The present study aims to establish a link between digital and humanitarian supply chain management. This study has focused on using artificial intelligence-big data analytical capabilities and information alignment to develop and maintain supply chain collaboration to achieve supply chain agility in a dynamic environment like a disaster. The targeted population is humanitarian organizations in Pakistan. Simple random sampling method, data was collected from 242 respondents using an online questionnaire. The Partial Least Square – Structural Equation Modelling technique has been used for analysis. Resource Based Theory and Contingency Theory in this study have provided foundations to develop and test the relationships among information alignment, supply chain agility, artificial intelligence – big data analytical capabilities, and supply chain collaboration in disaster management. Findings showed the use of artificial intelligence – big data analytical capabilities are beneficial for information alignment and supply chain agility.
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人工智能在供应链敏捷性中的作用:人道主义供应链视角
本研究旨在建立数字与人道主义供应链管理之间的联系。本研究的重点是利用人工智能-大数据分析能力和信息调整来发展和维护供应链协作,从而在灾难等动态环境中实现供应链的灵活性。研究对象是巴基斯坦的人道主义组织。采用简单随机抽样方法,通过在线问卷从 242 名受访者中收集数据。分析采用了偏最小二乘法--结构方程模型技术。本研究中的资源基础理论和权变理论为发展和检验灾害管理中的信息一致性、供应链敏捷性、人工智能-大数据分析能力和供应链协作之间的关系提供了基础。研究结果表明,人工智能-大数据分析能力的使用有利于信息一致性和供应链敏捷性。
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