利用数据包络分析(DEA)对政府门户网站的性能进行评估

Dolores E. Luna, J. Ramon Gil-Garcia, L. Luna-Reyes, Rodrigo Sandoval-Almazán, Abel Duarte-Valle
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引用次数: 5

摘要

在过去几年中,研究人员对电子政务门户网站的性能进行了评估,以确定最佳实践,并了解影响它们向公民提供的信息和服务质量的一些因素。这些评价大多只考虑结果或产出,而忽略了政府为这些努力提供的能力和资源方面的投入。本文认为,使用数据包络分析(DEA)有助于更好地了解政府在使用某些投入来生产高质量电子政务门户网站方面的效率。基于一些门户特征(输出),如信息、交互、交易、集成和参与,以及一些组织、制度和上下文因素(输入),如政府能力、潜在需求和运营成本,应用DEA来计算效率分数。本文采用墨西哥州政府门户网站进行实证分析。我们的研究结果表明,有一些州在质量方面从来没有排在第一位,但他们的资源和能力很少,因此,他们的效率很高。
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Using data envelopment analysis (DEA) to assess government web portals performance
In the last few years, researchers have evaluated the performance of e-government portals in order to identify best practices and understand some of the factors that influence the quality of the information and services they provide to citizens. Most of these evaluations consider only the results or outputs, but ignore the inputs in terms of capabilities and resources that governments have available for these efforts. This paper argues that using data envelopment analysis (DEA) could help to better understand how efficient are governments in their use of certain inputs to produce high quality e-government portals. DEA is applied to calculate an efficiency score based on some portal characteristics (outputs) such as information, interaction, transaction, integration, and participation, and some organizational, institutional and contextual factors (inputs) such as government capacity, potential demand, and operation cost. The state government portals in Mexico are used for the empirical analysis. Our results indicate that there are some states that are never in the first places in terms of quality, but they have very few resources and capabilities and therefore, they are highly efficient.
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