We All Need Help: Big Data and the Mismeasure of Public Administration

• 成果类型: Article; Proceedings Paper
• 署名作者: Lavertu, Stephane
• 署名单位: University System of Ohio; Ohio State University
• 刊物名称: PUBLIC ADMINISTRATION REVIEW
• ISSN/ISSBN: 0033-3352
• DOI: 10.1111/puar.12436
• 发表日期: 2016
• 页码: 864-872
• 关键词: value governance; POLICY; teachers; incentives; schools; INFORMATION; impacts; QUALITY; GENDER; sector

摘要

Rapid advances in our ability to collect, analyze, and disseminate information are transforming public administration. This big data revolution presents opportunities for improving the management of public programs, but it also entails some risks. In addition to potentially magnifying well-known problems with public sector performance management-particularly the problem of goal displacement-the widespread dissemination of administrative data and performance information increasingly enables external political actors to peer into and evaluate the administration of public programs. The latter trend is consequential because external actors may have little sense of the validity of performance metrics and little understanding of the policy priorities they capture. The author illustrates these potential problems using recent research on U.S. primary and secondary education and suggests that public administration scholars could help improve governance in the data-rich future by informing the development and dissemination of organizational report cards that better capture the value that public agencies deliver.