Context-dependent DEA with an application to Tokyo public libraries
Context-dependent DEA with an application to Tokyo public libraries
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DOI：
10.1142/s0219622005001635
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发表时间：
2005-09-01
影响因子：
4.9
通讯作者：
Zhu, J
中科院分区：
文献类型：
--
作者：
Chen, Y;Morita, H;Zhu, J
数据包络分析（DEA）确定了一组具有多个输入和输出的决策单元（DMU）的经验有效边界。有效边界的特征在于具有单位效率得分的决策单元。低效率决策单元的性能的特点是相对于所确定的有效边界。如果低效率决策单元的性能恶化或改善（到边界），有效的决策单元仍然有一个单位的效率得分。然而，决策单元的性能可能会受到环境的影响-例如，一个产品可能会出现有吸引力的背景下，吸引力较低的替代品和没有吸引力的时候相比，更有吸引力的替代品。与东京公共图书馆的应用程序，目前的文件提出并演示了一个上下文相关的DEA措施的相对吸引力的图书馆在一个特定的性能水平对图书馆表现较差的性能。库的集合被分组为不同级别的有效边界。每个有效的边界（在特定的性能水平），然后被用来作为相对吸引力的评估背景。有效库的性能随着。低效的库改变它们的性能。上下文相关的DEA也可以用来区分有效的决策单元的性能。上下文相关的DEA提供了更好的DEA结果相对于所有决策单元的性能。
Data envelopment analysis (DEA) identifies an empirical efficient frontier of a set of peer decision making units (DMUs) with multiple inputs and outputs. The efficient frontier is characterized by the DMUs with an unity efficiency score. The performance of inefficient DMUs is characterized with respect to the identified efficient frontier. If the performance of inefficient DMUs deteriorates or improves (up to the frontier), the efficient DMUS still have an unity efficiency score. However, the performance of DMUs may be influenced by the context - e.g. a product may-appear attractive against a background of less attractive alternatives and unattractive when compared to more attractive alternatives. With an application to Tokyo public libraries, the current paper presents and demonstrates a context-dependent DEA which measures the relative attractiveness of libraries on a specific performance level against libraries exhibiting poorer-performance. The set of libraries-are grouped into different levels of efficient frontiers. Each efficient frontier (on specific performance level) is then used as evaluation context for the relative attractiveness. The-performance of the efficient libraries changes as the. inefficient libraries change their performance. The context-dependent DEA-can also be used to differentiate the performance of efficient DMUs. The context-dependent DEA provides finer DEA results with respect to the performance of all DMUs.