Abstract

Despite the progress in understanding the theoretical underpinnings behind governments’ use of performance information, there is limited understanding of whether governments use performance data to reduce racial and ethnic inequalities. This study uses the COVID-19 pandemic as a case study to examine what actions local governments have taken to remedy the disproportionally negative impact of the COVID-19 pandemic on racial and ethnic minorities. Specifically, the study examines the antecedents of the use of disaggregated performance data and studies the influence of the organizational culture and organizational learning on the use of disaggregated data in decision-making. An online survey was administered to 295 counties in the U.S., and the results indicate that attention dedicated to discussing and analyzing COVID-19 data and developmental organizational culture are positively associated with making data-driven decisions. Contrary to the widespread expectations, the percentage of minority population and prevalence of COVID-19 cases do not result in greater efforts to assist minorities in dealing with the pandemic.

摘要

尽管在理解政府使用绩效信息背后的理论基础方面取得了进展，但对于政府是否使用绩效数据来减少种族和民族不平等的了解有限。本研究以 COVID-19 大流行为案例研究，研究地方政府采取了哪些行动来弥补 COVID-19 大流行对种族和少数民族造成的不成比例的负面影响。具体来说，该研究考察了使用分类绩效数据的前因，并研究了组织文化和组织学习对决策中使用分类数据的影响。对美国 295 个县进行了在线调查，结果表明，专注于讨论和分析 COVID-19 数据和发展性组织文化与做出数据驱动的决策呈正相关。与普遍的预期相反，少数族裔人口的百分比和 COVID-19 病例的流行并没有导致更大的努力来协助少数族裔应对这一流行病。