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Blockchain in humanitarian operations management: A review of research and practice

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  • Hunt, Kyle
  • Narayanan, Adithya
  • Zhuang, Jun

Abstract

Humanitarian operations management (HOM) defines the broad domain that deals with the management of crisis events and human suffering, and a plethora of research has contributed to this field. Over the recent years, blockchain technology has been signaled throughout the literature as a tool that can support HOM as a result of the technology's enhanced features such as security and auditability. In a bid to explore the application of blockchain technology in HOM, we systematically review the current literature and deployed practices. Our review covers 64 articles that provide contributions which we categorize into four focus areas: (i) overview of blockchain in HOM, (ii) identity and personal data management, (iii) humanitarian logistics, and (iv) humanitarian communications. The majority of the articles that we surveyed focus on the potential benefits of blockchain in HOM, and the enablers and barriers to its adoption. A limited number of theoretical frameworks provide insights into how blockchain can be utilized in HOM to improve operational efficiency, promote trust, and foster collaborations among relief agencies. With the exception of a few pilot programs that have been deployed in the humanitarian setting, we find that the majority of the work addressing the use of blockchain in HOM has not yet been tested in the field, and therefore, little empirical evidence exists to prove blockchain's capabilities in HOM. This paper reports on the major scientific advancements and practical applications for blockchain technology in HOM, as well as promising future research directions on the use of blockchain technology for HOM practitioners and researchers.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:soceps:v:80:y:2022:i:c:s0038012121001671
    DOI: 10.1016/j.seps.2021.101175
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    as
    1. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    2. Angappa Gunasekaran & Rameshwar Dubey & Samuel Fosso Wamba & Thanos Papadopoulos & Benjamin T. Hazen & Eric W.T. Ngai, 2018. "Bridging humanitarian operations management and organisational theory," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6735-6740, November.
    3. Russell Sobel & Peter Leeson, 2006. "Government's response to Hurricane Katrina: A public choice analysis," Public Choice, Springer, vol. 127(1), pages 55-73, April.
    4. Rameshwar Dubey & Angappa Gunasekaran & David J. Bryde & Yogesh K. Dwivedi & Thanos Papadopoulos, 2020. "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3381-3398, June.
    5. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    6. Nezih Altay & Raktim Pal, 2014. "Information Diffusion among Agents: Implications for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1015-1027, June.
    7. Wang, Yingli & Singgih, Meita & Wang, Jingyao & Rit, Mihaela, 2019. "Making sense of blockchain technology: How will it transform supply chains?," International Journal of Production Economics, Elsevier, vol. 211(C), pages 221-236.
    8. Ali Pala & Jun Zhuang, 2019. "Information Sharing in Cybersecurity: A Review," Decision Analysis, INFORMS, vol. 16(3), pages 172-196, September.
    9. Volodymyr Babich & Gilles Hilary, 2020. "OM Forum—Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 223-245, March.
    10. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    11. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    12. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    13. Eiji Yamamura, 2014. "Impact of natural disaster on public sector corruption," Public Choice, Springer, vol. 161(3), pages 385-405, December.
    14. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    15. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    16. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    17. Maria Besiou & Luk N. Van Wassenhove, 2020. "Humanitarian Operations: A World of Opportunity for Relevant and Impactful Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 135-145, January.
    18. Sabbaghtorkan, Monir & Batta, Rajan & He, Qing, 2020. "Prepositioning of assets and supplies in disaster operations management: Review and research gap identification," European Journal of Operational Research, Elsevier, vol. 284(1), pages 1-19.
    19. Walid Al-Saqaf & Nicolas Seidler, 2017. "Blockchain technology for social impact: opportunities and challenges ahead," Journal of Cyber Policy, Taylor & Francis Journals, vol. 2(3), pages 338-354, September.
    20. de la Torre, Luis E. & Dolinskaya, Irina S. & Smilowitz, Karen R., 2012. "Disaster relief routing: Integrating research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 88-97.
    21. Kyle Hunt & Bairong Wang & Jun Zhuang, 2020. "Misinformation debunking and cross-platform information sharing through Twitter during Hurricanes Harvey and Irma: a case study on shelters and ID checks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 861-883, August.
    22. Oscar Rodríguez-Espíndola & Soumyadeb Chowdhury & Ahmad Beltagui & Pavel Albores, 2020. "The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4610-4630, July.
    23. Reinsberg, Bernhard, 2019. "Blockchain technology and the governance of foreign aid," Journal of Institutional Economics, Cambridge University Press, vol. 15(3), pages 413-429, June.
    24. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    25. 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.
    26. Martin K. Starr & Luk N. Van Wassenhove, 2014. "Introduction to the Special Issue on Humanitarian Operations and Crisis Management," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 925-937, June.
    27. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    28. Elham Seyedsayamdost & Peter Vanderwal, 2020. "From Good Governance to Governance for Good: Blockchain for Social Impact," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(6), pages 943-960, August.
    29. Sahebi, Iman Ghasemian & Masoomi, Behzad & Ghorbani, Shahryar, 2020. "Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain," Technology in Society, Elsevier, vol. 63(C).
    30. Mehrdokht Pournader & Yangyan Shi & Stefan Seuring & S.C. Lenny Koh, 2020. "Blockchain applications in supply chains, transport and logistics: a systematic review of the literature," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2063-2081, April.
    31. Daniel Seaberg & Laura Devine & Jun Zhuang, 2017. "A review of game theory applications in natural disaster management research," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1461-1483, December.
    32. Minjae Yoo & Yoojae Won, 2018. "A Study on the Transparent Price Tracing System in Supply Chain Management Based on Blockchain," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    33. Abdallah S. Daar & Trillium Chang & Angela Salomon & Peter A. Singer, 2018. "Grand challenges in humanitarian aid," Nature, Nature, vol. 559(7713), pages 169-173, July.
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