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Modeling the impact of donor behavior on humanitarian aid operations

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  • M. Ülkü
  • Kathryn Bell
  • Stephanie Wilson

Abstract

Whether in-kind or cash, coordinated help organizations such as the American Red Cross, count on donations to help those in need when and after disasters happen. Yet, it has been observed that the type (in-kind versus cash) and the quality of donations largely impact the success of meeting urgent demand in humanitarian operations. In particular, unsolicited items hamper the synchronization of logistical operations and hence may create more problems than solutions. This research sheds light on the behavioral and decision making aspects of a donor while developing analytical models of how that behavior can be influenced by soliciting a minimum amount of cash donation, which in turn mitigates the negative impact of unsolicited items. We investigate the literature on donor psychology and feed those extant findings to the analytical model. We provide explicit expressions for the optimal solicitation amount and the impact of that amount on maximizing the donor’s likelihood to donate cash, as opposed to in-kind items. Also provided are some execution insights through extensive sensitivity analysis. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • M. Ülkü & Kathryn Bell & Stephanie Wilson, 2015. "Modeling the impact of donor behavior on humanitarian aid operations," Annals of Operations Research, Springer, vol. 230(1), pages 153-168, July.
    • Handle: RePEc:spr:annopr:v:230:y:2015:i:1:p:153-168:10.1007/s10479-014-1623-5
    DOI: 10.1007/s10479-014-1623-5
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    7. Rameshwar Dubey & Nezih Altay & Constantin Blome, 2019. "Swift trust and commitment: The missing links for humanitarian supply chain coordination?," Annals of Operations Research, Springer, vol. 283(1), pages 159-177, December.
    8. Kyle H. Goldschmidt & Sameer Kumar, 2019. "Reducing the cost of humanitarian operations through disaster preparation and preparedness," Annals of Operations Research, Springer, vol. 283(1), pages 1139-1152, December.
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    10. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
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    13. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    14. Ozen, Merve & Krishnamurthy, Ananth, 2020. "Resource allocation models for material convergence," International Journal of Production Economics, Elsevier, vol. 228(C).
    15. Rafiei, Rezvan & Huang, Kai & Verma, Manish, 2022. "Cash versus in-kind transfer programs in humanitarian operations: An optimization program and a case study," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    16. Soheyl Khalilpourazari & Alireza Arshadi Khamseh, 2019. "Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application," Annals of Operations Research, Springer, vol. 283(1), pages 355-393, December.
    17. Gemma Berenguer & Zuo-Jun (Max) Shen, 2020. "OM Forum—Challenges and Strategies in Managing Nonprofit Operations: An Operations Management Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 888-905, September.
    18. Hosang Jung & Chi-Guhn Lee & Chelsea White, 2015. "Socially responsible service operations management: an overview," Annals of Operations Research, Springer, vol. 230(1), pages 1-16, July.
    19. Sameer Prasad & Jason Woldt & Harish Borra & Nezih Altay, 2022. "Migrant supply chain networks: an empirically based typology," Annals of Operations Research, Springer, vol. 319(1), pages 1331-1358, December.
    20. Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana & Abhinav Kumar & Kawaljeet Kaur Kapoor, 2019. "Event classification and location prediction from tweets during disasters," Annals of Operations Research, Springer, vol. 283(1), pages 737-757, December.
    21. Malin Song & Qianqian Du, 2019. "Analysis and exploration of damage-reduction measures for flood disasters in China," Annals of Operations Research, Springer, vol. 283(1), pages 795-810, December.
    22. Kian, Ramez & Erdoğan, Güneş & de Leeuw, Sander & Sibel Salman, F. & Sabet, Ehsan & Kara, Bahar Y. & Demir, Muhittin H., 2022. "Logistics planning of cash transfer to Syrian refugees in Turkey," European Journal of Operational Research, Elsevier, vol. 296(3), pages 1007-1024.
    23. 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.
    24. Richard Oloruntoba & Gazi Farid Hossain & Beverly Wagner, 2019. "Theory in humanitarian operations research," Annals of Operations Research, Springer, vol. 283(1), pages 543-560, December.
    25. Ali Sabbaghnia & Jafar Heydari & Jafar Razmi, 2023. "Participative pricing and donation programs in a socially concerned supply chain," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(1), pages 146-164, January.

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