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.

我们的研究在人工智能驱动的大数据分析能力（AI-BDAC）和集团间领导（IGL）的调节作用下，研究了信息一致性（IA），协作（CO）和供应链敏捷性（SCAG）之间的关系。我们已将我们的理论模型建立在基于资源的观点（RBV）和权变理论的基础上，并使用多信息数据进一步检验了我们的研究假设，这些数据是使用基于网络的预先测试的工具从193个人道主义组织的613个人中收集的，这些个人来自24个位于全球各大洲的国家/地区。我们使用基于方差的结构方程模型（PLS-SEM）检验了我们的研究假设。我们的研究提供了有趣的结果，有助于在人道主义环境下推动围绕技术驱动的供应链敏捷性的理论辩论。我们进一步为从事救灾行动的管理人员提供了一些指导，他们正在考虑使用新兴技术来增强协作和供应链敏捷性。最后，我们概述了研究的局限性，并提供了一些未来的研究方向。