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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
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

199 Scopus citations

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
Pages (from-to)1586-1605
Number of pages20
JournalInternational Journal of Production Research
Volume59
Issue number5
DOIs
StatePublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Information alignment
  • artificial intelligence
  • big data analytics
  • humanitarian supply chain
  • intergroup leadership
  • supply chain agility

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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