Supply Chain in Non-Profit Organizations: The Impact of Data Analytics
DOI:
https://doi.org/10.69511/ijdsaa.v4i4.96Keywords:
Non-profit, big data analytics, supply chain, efficiency, analyticsAbstract
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Christopher Adler Barret, Marcus Roman Gonzalez, Valentina Isabella Gomez (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

International Journal of Data Science and Advanced Analytics (IJDSAA) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This license allows users to copy, distribute and transmit an article, adapt the article as long as the author is attributed and the article is not used for commercial purposes.
The author(s) confirms
- The manuscript submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
- The published materials used in the manuscript were obtained permission for reproduction. (if any)