供应链
权变理论
供应链管理
背景(考古学)
意外事故
地球仪
结构方程建模
资源(消歧)
知识管理
业务
大数据
动态能力
过程管理
营销
计算机科学
心理学
数据挖掘
机器学习
神经科学
古生物学
哲学
生物
语言学
计算机网络
作者
Rameshwar Dubey,David Bryde,Cyril Foropon,Manisha Tiwari,Yogesh K. Dwivedi,Sarah Schiffling
标识
DOI:10.1080/00207543.2020.1865583
摘要
Our study examines the relationship between information alignment (IA), collaboration (CO) and supply chain agility (SCAG) under the moderating effects of artificial intelligence-driven big data analytics capability (AI-BDAC) and intergroup leadership (IGL). We have grounded our theoretical model in the resource-based view (RBV) and contingency theory and further tested our research hypotheses using multi-informant data collected using a web-based pre-tested instrument from 613 individuals working in 193 humanitarian organisations drawn from 24 countries located on various continents across the globe. We tested our research hypotheses using variance-based structural equation modelling (PLS-SEM). Our study offers interesting results which help to advance the theoretical debates surrounding technology-driven supply chain agility in the context of humanitarian settings. We further provide some directions to managers engaged in disaster relief operations, who are contemplating using emerging technologies to enhance collaboration and supply chain agility. Finally, we have outlined the limitations of our study and offer some future research directions.
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