论文标题
两阶段网络数据包络分析：教育部门应用
A Two-stage Network Data Envelopment Analysis: An Education Sector Application
论文作者
论文摘要
数据包络分析（DEA）的工作原理就像黑匣子一样，没有提供任何足够的细节来确定决策单位效率低下的特定原因（DMU）。这项研究的动机是在两阶段关系网络DEA模型的帮助下分析决策过程中DMU效率低下的原因。在当前的研究中，采用了两阶段的关系网络DEA模型来独立衡量DMU的性能和每个阶段。通常，过去的研究使用教育领域的常规DEA模型来分析教育机构的表现。在当前的研究中，通过考虑使用网络DEA来衡量印度管理学院（IIM）的性能的定量属性，我们开发了一种捕获质量和数量的程序。
Data envelopment analysis (DEA) works like a black box that does not provide any adequate detail to identify the specific reason for inefficiency in decision-making units (DMUs). The motivation of this study is to analyze the cause of the inefficiency of DMUs in a decision process with the help of a two-stage relational network DEA model. In the current study, a two-stage relational network DEA model is applied to measure the performance of DMUs for the whole process and each stage independently. In general, past studies used conventional DEA models in education sectors to analyze the performances of educational institutions. In the current study, by considering quantitative attributes to measure the performance of Indian institutes of management (IIMs) by using network DEA, we develop a procedure that captures both quality and quantity.
