Performance  Evaluation  of  Chinese  Non-profit Organizations under Uncertain Environment

Yuanzhong Li

doi:10.18686/ahe.v6i18.5667

Performance Evaluation of Chinese Non-profit Organizations under Uncertain Environment

Yuanzhong Li

Abstract

In recent years,China’s nonprofi t organizations (NPO) have developed rapidly.cy of NPO.The results show that there is a large gap between the effi ciency evaluation results under uncertainty and those under certainty.According to the effi ciency evaluation results of this paper, we put forward diff erent improvement suggestions for diff erent NPO to improve the management level.

Keywords

NPO; Robust optimization; Data envelopment analysis (DEA); Uncertainty set; Interval DEA

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References

[1] Luksetich W, & Hughes P.N. (1997).Efficiency of fund-raising activities: An application of data envelopment analysis. Nonprofit and Voluntary Sector Quarterly, 26(1),73–84.

[2] Coupet J & McWilliams A(2017). Integrating organizational economics and resource dependence theory to explain the persistence of quasi markets. Administrative Sciences, 7(3), 29.

[3] Zerbe R O.(2002).Economic efficiency in law and economics. Cheltenham, England: Edward Elgar Publishing.

[4] Miragaia D, Brito M & Ferreira J.(2016).The role of stakeholders in the efficiency of nonprofit sports clubs. Nonprofit Manage-ment and Leadership, 27(1), 113–134.

[5] Soyster A L.(1973).Convex programming with set-inclusive constraints and applications to inexact linear programming. Opera-tions Research, 21 (3), 1154–1157.

[6] Ben-Tal A, & Nemirovski,A.(1998).Robust Convex Optimization. Mathematics of Operations Research,23 (4), 769–805.

[7] Ben-Tal A, & Nemirovski A.(1999).Robust solutions of uncertain liner programs. Operations Research Letters,25(1), 1–13.

[8] Ben-Tal, A., & Nemirovski, A. (2000).Robust solutions of uncertain liner programming contained data. Mathematical Program-ming, 88(3), 411–424.

[9] Bertsimas D, & Sim M(2003).Robust discrete optimization and network flows.Mathematical Programming, 98(1), 49-71.

[10] Bertsimas D, & Sim M.(2006).Tractable approximations to robust conic optimization problems. Mathematical Programming,107(1),5-36.

[11] Bertsimas D, Pachamanova D, & Sim M.(2004)Robust linear optimization under general norms. Operations Research Letters,32(6),510-516.

DOI: http://dx.doi.org/10.18686/ahe.v6i18.5667

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