Budgeting in International Humanitarian Organizations

Published Online:https://doi.org/10.1287/msom.2021.1016

References

  • Acharya A, De Lima ATF, Moore M (2006) Proliferation and fragmentation: Transactions costs and the value of aid. J. Development Stud. 42(1):1–21.CrossrefGoogle Scholar
  • Aflaki A, Pedraza-Martinez AJ (2016) Humanitarian funding in a multi-donor market with donation uncertainty. Production Oper. Management 25(7):1274–1291.CrossrefGoogle Scholar
  • Anheier HK, Ben-Ner A (2003) The Study of Nonprofit Enterprise: Theories and Approaches (Springer Science & Business Media, New York).CrossrefGoogle Scholar
  • Bansal S, Dyer JS (2017) Multivariate partial-expectation results for exact solutions of two-stage problems. Oper. Res. 65(6):1526–1534.LinkGoogle Scholar
  • Benders JF (1962) Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik 4(1):238–252.CrossrefGoogle Scholar
  • Berenguer G, Shen Z-J (2019) Challenges and strategies in managing nonprofit operations: An operations management perspective. Manufacturing Service Oper. Management 22(5):888–905.LinkGoogle Scholar
  • Berenguer G, Iyer AV, Yadav P (2016) Disentangling the efficiency drivers in country-level global health programs: An empirical study. J. Oper. Management 45:30–43.CrossrefGoogle Scholar
  • Besiou M, Van Wassenhove LN (2020) Humanitarian operations: A world of opportunity for relevant and impactful research. Manufacturing Service Oper. Management 22(1):135–145.LinkGoogle Scholar
  • Besiou M, Pedraza-Martinez AJ, Van Wassenhove LN (2014) Vehicle supply chains in humanitarian operations: Decentralization, operational mix, and earmarked funding. Production Oper. Management 23(11):1950–1965.CrossrefGoogle Scholar
  • Bhattacharya S, Hasija S, Van Wassenhove LN (2014) Designing efficient infrastructural investment and asset transfer mechanisms in humanitarian supply chains. Production Oper. Management 23(9):1511–1521.CrossrefGoogle Scholar
  • Birge JR, Louveaux F (2011) Introduction to Stochastic Programming (Springer Science & Business Media, New York).CrossrefGoogle Scholar
  • Buse K, Walt G (1996) Aid coordination for health sector reform: A conceptual framework for analysis and assessment. Health Policy 38(3):173–187.CrossrefGoogle Scholar
  • Carøe CC, Tind J (1998) L-shaped decomposition of two-stage stochastic programs with integer recourse. Math. Programming 83:451–464.CrossrefGoogle Scholar
  • Collier P, Dollar D (2002) Aid allocation and poverty reduction. Eur. Econom. Rev. 46(8):1475–1500.CrossrefGoogle Scholar
  • Devalkar SK, Sohoni MG, Arora P (2017) Ex-post funding: How should a resource-constrained non-profit organization allocate its funds? Production Oper. Management 26(6):1035–1055.CrossrefGoogle Scholar
  • De Vericourt F, Lobo MS (2009) Resource and revenue management in nonprofit operations. Oper. Res. 57(5):1114–1128.LinkGoogle Scholar
  • Eichenauer VZ, Reinsberg B (2017) What determines earmarked funding to international development organizations? Evidence from the new multi-bi aid data. Rev. Internat. Organ. 12(2):171–197.CrossrefGoogle Scholar
  • Erlebacher SJ (2000) Optimal and heuristic solutions for the multi-item newsvendor problem with a single capacity constraint. Production Oper. Management 9(3):303–318.CrossrefGoogle Scholar
  • Fischetti M, Ljubić I, Sinnl M (2016) Benders decomposition without separability: A computational study for capacitated facility location problems. Eur. J. Oper. Res. 253(3):557–569.CrossrefGoogle Scholar
  • Fischetti M, Ljubić I, Sinnl M (2017) Redesigning Benders decomposition for large-scale facility location. Management Sci. 63(7):2146–2162.LinkGoogle Scholar
  • Halman N, Orlin JB, Simchi-Levi D (2012) Approximating the nonlinear newsvendor and single-item stochastic lot-sizing problems when data are given by an oracle. Oper. Res. 60(2):429–446.LinkGoogle Scholar
  • Hellemo L, Barton PI, Tomasgard A (2018) Decision-dependent probabilities in stochastic programs with recourse. Comput. Management Sci. 15(3–4):369–395.CrossrefGoogle Scholar
  • Holguín-Veras J, Pérez N, Jaller M, Van Wassenhove LN, Aros-Vera F (2013) On the appropriate objective function for post-disaster humanitarian logistics models. J. Oper. Management 31(5):262–280.CrossrefGoogle Scholar
  • Hyndman N, McDonnell P (2009) Governance and charities: An exploration of key themes and the development of a research agenda. Financial Accounting Management 25(1):5–31.Google Scholar
  • Jahre M, Heigh I (2008) Does the current constraints in funding promote failure in humanitarian supply chains? Supply Chain Forum Internat. J. 9:44–54.CrossrefGoogle Scholar
  • Keshvari Fard M, Eftekhar M, Papier F (2019) A policy for managing operational assets to minimize deprivation costs. Production Oper. Management 28(8):2132–2151.CrossrefGoogle Scholar
  • King AJ, Wallace SW (2012) Modeling with Stochastic Programming (Springer Science & Business Media, New York).CrossrefGoogle Scholar
  • Leitner M, Ljubić I, Luipersbeck M, Sinnl M (2018) Decomposition methods for the two-stage stochastic Steiner tree problem. Comput. Optim. Appl. 69(3):713–752.CrossrefGoogle Scholar
  • Liu C, Fan Y, Ordóñez F (2009) A two-stage stochastic programming model for transportation network protection. Comput. Oper. Res. 36(5):1582–1590.CrossrefGoogle Scholar
  • Ljubić I, Mutzel P, Zey B (2017) Stochastic survivable network design problems: Theory and practice. Eur. J. Oper. Res. 256(2):333–348.CrossrefGoogle Scholar
  • Malik K (2018) As a system, foreign aid is a fraud and does nothing for inequality. The Guardian. https://www.theguardian.com/commentisfree/2018/sep/02/as-a-system-foreign-aid-is-a-fraud-and-does-nothing-for-inequality.Google Scholar
  • Mangasarian O, Rosen J (1964) Inequalities for stochastic nonlinear programming problems. Oper. Res. 12(1):143–154.LinkGoogle Scholar
  • McCardle KF, Rajaram K, Tang CS (2009) A decision analysis tool for evaluating fundraising tiers. Decision Anal. 6(1):4–13.LinkGoogle Scholar
  • Natarajan KV, Swaminathan JM (2014) Inventory management in humanitarian operations: Impact of amount, schedule, and uncertainty in funding. Manufacturing Service Oper. Management 16(4):595–603.LinkGoogle Scholar
  • Netessine S, Dobson G, Shumsky RA (2002) Flexible service capacity: Optimal investment and the impact of demand correlation. Oper. Res. 50(2):375–388.LinkGoogle Scholar
  • Okten C, Weisbrod BA (2000) Determinants of donations in private nonprofit markets. J. Public Econom. 75(2):255–272.CrossrefGoogle Scholar
  • Patriksson M (2008) A survey on the continuous nonlinear resource allocation problem. Eur. J. Oper. Res. 185(1):1–46.CrossrefGoogle Scholar
  • Pedraza-Martinez AJ, Van Wassenhove LN (2013) Vehicle replacement in the International Committee of the Red Cross. Production Oper. Management 22(2):365–376.CrossrefGoogle Scholar
  • Petrovits CM (2006) Corporate-sponsored foundations and earnings management. J. Accounting Econom. 41(3):335–362.CrossrefGoogle Scholar
  • Privett N, Erhun F (2011) Efficient funding: Auditing in the nonprofit sector. Manufacturing Service Oper. Management 13(4):471–488.LinkGoogle Scholar
  • Rhoades SA (1993) The Herfindahl-Hirschman index. Fed. Reserve Bull. 79:188–189.Google Scholar
  • Ribar DC, Wilhelm MO (2002) Altruistic and joy-of-giving motivations in charitable behavior. J. Political Econom. 110(2):425–457.CrossrefGoogle Scholar
  • Takriti S, Ahmed S (2004) On robust optimization of two-stage systems. Math. Programming 99(1):109–126.CrossrefGoogle Scholar
  • Tomasini R, Van Wassenhove L (2009) Humanitarian Logistics (Springer Science & Business Media, New York).CrossrefGoogle Scholar
  • Toyasaki F, Wakolbinger T (2014) Impacts of earmarked private donations for disaster fundraising. Ann. Oper. Res. 221(1):427–447.CrossrefGoogle Scholar
  • Van Wassenhove LN (2006) Humanitarian aid logistics: Supply chain management in high gear. J. Oper. Res. Soc. 57(5):475–489.CrossrefGoogle Scholar
  • Varian HR (1994) Sequential contributions to public goods. J. Public Econom. 53(2):165–186.CrossrefGoogle Scholar
  • Wakolbinger T, Toyasaki F (2011) Impacts of funding systems on humanitarian operations. Christopher M, Tatham P, eds. Humanitarian Logistics: Meeting the Challenge of Preparing for and Responding to Disasters (Kogan Page Limited, London), 33–46.Google Scholar
  • You F, Grossmann IE (2013) Multicut Benders decomposition algorithm for process supply chain planning under uncertainty. Ann. Oper. Res. 210(1):191–211.CrossrefGoogle Scholar
  • Zipkin PH (1980) Simple ranking methods for allocation of one resource. Management Sci. 26(1):34–43.LinkGoogle Scholar
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