Generalized DEA: an approach for supporting input/output factor determination in DEA

Generalized DEA: an approach for supporting input/output factor determination in DEA
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DOI:
10.1108/bij-07-2015-0074
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发表时间:
2016-01-01
影响因子:
5.6
通讯作者:
Neumann, Ludmila
Neumann, Ludmila
中科院分区:
其他
文献类型:
--
作者:
Afsharian, Mohsen;Ahn, Heinz;Neumann, Ludmila

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目的 - 在应用数据包络分析 (DEA) 时,输入和输出因素的确定是众所周知的陷阱来源。本文的目的是帮助克服输入/输出因素确定中与因素选择、双重角色因素和不良因素相关的各自问题。设计/方法论/途径——从目标导向的角度讨论输入/输出因素确定问题,为DEA中输入/输出因素的作用提供新的视角。衡量药店在客户保留目标方面的效率的案例就证明了这一点。研究结果 - 研究结果建议应用广义 DEA (GDEA)。该方法的三个步骤包括制定目标系统、推导相应的绩效标准以及构建成本和效益函数。这些函数构建了 GDEA 模型的基础,其中一个模型被示例性地描述并应用于客户保留案例。 研究限制/含义 - 虽然传统 DEA 隐式假设线性成本和收益函数,但 GDEA 需要明确指定这些函数。在此过程中,该方法有助于解决因素选择问题、双重角色因素问题和不良因素问题。 实际意义 - 为了以一致和透明的方式确定输入/输出因素,建议在实际基准研究中应用 GDEA。 原创性/价值 - GDEA 将众所周知的多标准决策概念融入到传统 DEA 中。新方法有助于应对 DEA 中输入/输出因子确定的挑战。
Purpose - The determination of input and output factors is a well-known source of pitfalls when applying data envelopment analysis (DEA). The purpose of this paper is to contribute to overcome the respective problems of input/output factor determination related to factor selection, dual-role factors and undesirable factors.Design/methodology/approach - The problems of input/output factor determination are discussed from a goal-oriented perspective, shedding a new light on the role of input/output factors in DEA. This is exemplified by the case of measuring pharmacy stores' efficiency concerning their goal of customer retention.Findings - The findings suggest to applying a generalized DEA (GDEA). The three steps of this approach include the development of a system of objectives, the derivation of corresponding performance criteria as well as the construction of cost and benefit functions. These functions build the basis for GDEA models, of which one is exemplarily described and applied to the customer retention case.Research limitations/implications - While traditional DEA implicitly assumes linear cost and benefit functions, GDEA requires to explicitly specifying these functions. In doing so, the approach contributes to solve the problem of factor selection, the problem of dual-role factors and the problem of undesirable factors.Practical implications - For determining input/output factors in a consistent and transparent manner, it is recommended to apply GDEA in practical benchmarking studies.Originality/value - GDEA integrates well-known concepts of multi-criteria decision making into traditional DEA. The new approach helps to cope with the challenges of input/output factor determination in DEA.