An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain

Dubey, Rameshwar; Bryde, David J.; Foropon, Cyril; Tiwari, Manisha; Dwivedi, Yogesh; Schiffling, Sarah

Abstract

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.

Citation

Dubey, R., Bryde, D. J., Foropon, C., Tiwari, M., Dwivedi, Y., & Schiffling, S. (2021). An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain. International Journal of Production Research, 59(5), 1586-1605. https://doi.org/10.1080/00207543.2020.1865583

• Journal Article Type: Article
• Acceptance Date: Dec 2, 2020
• Online Publication Date: Dec 30, 2020
• Publication Date: Mar 1, 2021
• Deposit Date: Jun 10, 2024
• Publicly Available Date: Jun 11, 2024
• Journal: International Journal of Production Research
• Print ISSN: 0020-7543
• Electronic ISSN: 1366-588X
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 59
• Issue: 5
• Pages: 1586-1605
• DOI: https://doi.org/10.1080/00207543.2020.1865583
• Keywords: Information alignment; Artificial intelligence; Big data analytics; Intergroup leadership; Supply chain agility; Humanitarian supply chain
• Public URL: https://hull-repository.worktribe.com/output/4706116
• Related Public URLs: https://researchonline.ljmu.ac.uk/id/eprint/14128