With the digitization of administrative systems, governments have gained access to rich data about their administrative operations. How governments leverage such data to improve their administration—what we call government analytics—will shape government effectiveness. This article summarizes a conceptual framework which showcases that data can help diagnose and improve all components of a public administration production function—from inputs such as personnel and goods, to processes and management practices, to outputs and outcomes. We then assess to what extent public administration scholarship analyses these data sources and can thus inform government analytics. A review of 689 quantitative articles in two public administration journals in 2013–2023 finds that 50% draw on surveys of public employees and 25% on surveys of citizens or firms. By contrast, administrative micro data (14% of articles) are underexploited. Practitioners and scholars would thus do well to expand the data sources used to inform better government.

中文翻译：

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学者如何支持政府分析：将员工调查与更多行政数据源相结合，以更好地了解政府的运作方式


随着行政系统的数字化，政府可以获取有关其行政运营的丰富数据。政府如何利用这些数据来改善其管理（我们称之为政府分析）将影响政府效率。本文总结了一个概念框架，该框架展示了数据可以帮助诊断和改进公共管理生产职能的所有组成部分，从人员和货物等输入到流程和管理实践，再到产出和结果。然后，我们评估公共管理学术研究在多大程度上分析这些数据来源，从而可以为政府分析提供信息。对 2013-2023 年两本公共管理期刊上的 689 篇定量文章的回顾发现，50% 的文章借鉴了对公职人员的调查，25% 的文章借鉴了对公民或公司的调查。相比之下，行政微观数据（占文章的 14%）未得到充分利用。因此，从业者和学者可以很好地扩大用于为更好的政府提供信息的数据源。