Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics

Denis Dennehy, John Oredo, Konstantina Spanaki, Stella Despoudi, Mike Fitzgibbon

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose:
The purpose of this paper is to understand the nomological network of associations between collective mindfulness and big data analytics in fostering resilient humanitarian relief supply chains.

Design/methodology/approach:
The authors conceptualize a research model grounded in literature and test the hypotheses using survey data collected from informants at humanitarian aid organizations in Africa and Europe.

Findings:
The findings demonstrate that organizational mindfulness is key to enabling resilient humanitarian relief supply chains, as opposed to just big data analytics.

Originality/value:
This is the first study to examine organizational mindfulness and big data analytics in the context of humanitarian relief supply chains.
Original languageEnglish
JournalInternational Journal of Operations and Production Management
Early online date5 Aug 2021
DOIs
Publication statusE-pub ahead of print - 5 Aug 2021

Bibliographical note

Copyright © 2021, Denis Dennehy, John Oredo, Konstantina Spanaki, Stella Despoudi and Mike Fitzgibbon. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode.

Keywords

  • Supply chain
  • Resilience
  • Big data analytics
  • Mindfulness
  • Humanitarian aid

Fingerprint

Dive into the research topics of 'Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics'. Together they form a unique fingerprint.

Cite this