Big data in humanitarian supply chain management: a review and further research directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/content/pdf/10.1007/s10479-017-2671-4.pdf
Reference71 articles.
1. Agarwal, R., & Dhar, V. (2014). Editorial—Big data data science, and analytics: The opportunity and challenge for IS research. Information Systems Research, 25(3), 443–448.
2. Akhtar, P., Marr, N. E., & Garnevska, E. V. (2012). Coordination in humanitarian relief chains: chain coordinators. Journal of Humanitarian Logistics and Supply Chain Management, 2(1), 85–103.
3. Aloysius, J. A., Hoehle, H., Goodarzi, S., & Venkatesh, V. (2016). Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes. Annals of Operations Research. https://doi.org/10.1007/s10479-016-2276-3 .
4. Altay, N., & Labonte, M. (2014). Challenges in humanitarian information management and exchange: Evidence from Haiti. Disasters, 38, 50–72.
5. Amaye, A., Neville, K., & Pope, A. (2016). Big promises: Using organisational mindfulness to integrate big data in emergency management decision making. Journal of Decision Systems, 25, 76–84.
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