Benchmarking airports from a managerial perspective

Benchmarking airports from a managerial perspective
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DOI:
10.1016/j.omega.2012.02.004
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发表时间:
2013-04
影响因子:
6.9
通讯作者:
N. Adler;Vanessa Liebert;Ekaterina Yazhemsky
N. Adler;Vanessa Liebert;Ekaterina Yazhemsky
中科院分区:
管理学2区
文献类型:
--
作者:
N. Adler;Vanessa Liebert;Ekaterina Yazhemsky

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基准机场目前在学术文献和实践中都很流行,但由于任何合理大小的数据集固有的异质性,已经证明是相当有问题的。大多数研究要么将机场生产技术视为黑箱,要么将航站楼和空侧活动分开,单独评估。在这篇文章中,我们分析机场作为一个单一的单元,由于直接的互补性,从而避免了人工分离的投入。使用数据包络分析(DEA),我们打开了黑盒子,其中一个网络描述了生产过程,从而展示了顺序效应,分离最终从中间输出,包括那些在部分管理控制和那些已知的是非自由裁量权。为了进一步改进基准测试过程,我们根据预先定义的特征,通过一个有限的参考机制,为10年来43个欧洲机场的案例研究确定了合适的同行。与基本DEA模型相比,拟议结构的结果提供了更有意义的基准,具有可比性的同行单位和目标值,可能在中期内实现。通过确定每个单元的个人参考集,独特的离群值影响的性能测量严重程度低于发生在基本DEA。此外,考虑到该单位所处的监管和商业环境,这些公式产生了一条将机场逐步推向帕累托边界的实施路径。
Benchmarking airports is currently popular both in the academic literature and in practice but has proved rather problematic due to the heterogeneity inherent in any reasonably sized dataset. Most studies either treat the airport production technology as a black box, or separate the terminal and airside activities, assessing them individually. In this article we analyze airports as a single unit due to the direct complementarities, thus avoiding the artificial separation of inputs. Using data envelopment analysis (DEA), we open the black box in which a network describes the production process, thus demonstrating the sequential effects that separate final from intermediate outputs, including those under partial managerial control and those that are known to be non-discretionary. To further improve the benchmarking process, we identify appropriate peers for a case study of 43 European airports over 10 years, through a restricted reference mechanism according to pre-defined characteristics. Compared to basic DEA models, the results of the proposed structure provide more meaningful benchmarks with comparable peer units and target values that are potentially achievable in the medium term. By identifying each unit's individual reference set, unique outliers influence the performance measurement less severely than occurs under basic DEA. In addition, the formulations produce an implementation path that moves the airport towards the Pareto frontier gradually, taking into account the regulatory and business environment in which the unit is located.