Supply Chain in Non-Profit Organizations: The Impact of Data Analytics

Authors

  • Christopher Adler Barret University of Minnesota, USA
  • Marcus Roman Gonzalez Universidad Nacional de Colombia, Colombia
  • Valentina Isabella Gomez Pompeu Fabra University, Spain

DOI:

https://doi.org/10.69511/ijdsaa.v4i4.96

Keywords:

Non-profit, big data analytics, supply chain, efficiency, analytics

Abstract

This paper aims to understand the nomological network of associations between collective and big data analytics in cultivating resilient humanitarian relief supply chains. Methodology / Approach the authors formulate a research design grounded in literature as well as test. The hypotheses utilizing survey data obtained from informants at human aid organizations in Europe and Africa. The findings show that organizational is crucial to enabling resilient humanitarian relief supply chains, instead of just big data analytics. This study is the first to look at organizational as well as big data analytics within the context of humanitarian aid supply chains.

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Published

2022-11-29

How to Cite

Barret, C. A., Gonzalez, M. R., & Gomez, V. I. (2022). Supply Chain in Non-Profit Organizations: The Impact of Data Analytics. International Journal of Data Science and Advanced Analytics, 4(1), 76–83. https://doi.org/10.69511/ijdsaa.v4i4.96

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