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

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

Research output: Contribution to journalArticleScientificpeer-review

51 Citations (Scopus)

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.
Original languageEnglish
Peer-reviewed scientific journalInternational Journal of Production Research
Volume59
Issue number5
Pages (from-to)1586-1605
Number of pages20
ISSN0020-7543
DOIs
Publication statusPublished - 01.03.2021
MoE publication typeA1 Journal article - refereed

Keywords

  • Supply chains
  • Big data
  • Motor ability
  • Structural equation modeling
  • Disaster relief
  • artificial intelligence
  • big data analytics
  • humanitarian supply chain
  • Information alignment
  • intergroup leadership
  • supply chain agility

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