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Big data in humanitarian supply chain networks: a resource dependence perspective

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  • Sameer Prasad

    (University of Wisconsin - Whitewater)

  • Rimi Zakaria

    (University of Wisconsin - Whitewater)

  • Nezih Altay

    (DePaul University)

Abstract

Humanitarian operations in developing world settings present a particularly rich opportunity for examining the use of big data analytics. Focal non-governmental organizations (NGOs) often synchronize the delivery of services in a supply chain fashion by aligning recipient community needs with resources from various stakeholders (nodes). In this research, we develop a resource dependence model connecting big data analytics to superior humanitarian outcomes by means of a case study (qualitative) of twelve humanitarian value streams. Specifically, we identify the nodes in the network that can exert power on the focal NGOs based upon the respective resources being provided to ensure that sufficient big data is being created. In addition, we are able to identify how the type of data attribute, i.e., volume, velocity, veracity, value, and variety, relates to different forms of humanitarian interventions (e.g., education, healthcare, land reform, disaster relief, etc.). Finally, we identify how the various types of data attributes affect humanitarian outcomes in terms of deliverables, lead-times, cost, and propagation. This research presents evidence of important linkages between the developmental body of knowledge and that of resource dependence theory (RDT) and big data analytics. In addition, we are able to generalize RDT assumptions from the multi-tiered supply chains to distributed networks. The prescriptive nature of the findings can be used by donor agencies and focal NGOs to design interventions and collect the necessary data to facilitate superior humanitarian outcomes.

Suggested Citation

  • Sameer Prasad & Rimi Zakaria & Nezih Altay, 2018. "Big data in humanitarian supply chain networks: a resource dependence perspective," Annals of Operations Research, Springer, vol. 270(1), pages 383-413, November.
    • Handle: RePEc:spr:annopr:v:270:y:2018:i:1:d:10.1007_s10479-016-2280-7
    DOI: 10.1007/s10479-016-2280-7
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    References listed on IDEAS

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    5. Josip Marić & Carlos Galera-Zarco & Marco Opazo-Basáez, 2022. "The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1003-1044, December.
    6. Martijn Warnier & Vincent Alkema & Tina Comes & Bartel Walle, 2020. "Humanitarian access, interrupted: dynamic near real-time network analytics and mapping for reaching communities in disaster-affected countries," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 815-834, September.
    7. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
    8. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    9. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    10. Hunt, Kyle & Narayanan, Adithya & Zhuang, Jun, 2022. "Blockchain in humanitarian operations management: A review of research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    11. Koppiahraj Karuppiah & Bathrinath Sankaranarayanan & Syed Mithun Ali & Sanjoy Kumar Paul, 2021. "Key Challenges to Sustainable Humanitarian Supply Chains: Lessons from the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    12. Guo Fuli & Cyril Foropon & Ma Xin, 2022. "Reducing carbon emissions in humanitarian supply chain: the role of decision making and coordination," Annals of Operations Research, Springer, vol. 319(1), pages 355-377, December.
    13. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    14. Carlos Bravo‐Laguna, 2023. "Examining the EU Reaction to a Humanitarian Emergency from a Network Perspective: The Response to Cyclones Idai and Kenneth," Journal of Common Market Studies, Wiley Blackwell, vol. 61(3), pages 673-691, May.
    15. Wu, Jie & Zahoor, Nadia & Khan, Zaheer & Meyer, Martin, 2023. "The effects of inward FDI communities on the research and development intensity of emerging market locally domiciled firms: Partial foreign ownership as a contingency," Journal of Business Research, Elsevier, vol. 156(C).

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