自动化
审计
失业
业务
泊松分布
功能(生物学)
公共经济学
计算机科学
经济
精算学
风险分析(工程)
会计
工程类
宏观经济学
统计
生物
机械工程
进化生物学
数学
作者
Marcus Young,Mallory E. Compton,Justin Bullock,Robert O. Greer
标识
DOI:10.1080/14719037.2023.2288247
摘要
Errors in administrative processes cost clientele and organizations, yet are understudied. Beyond efficiency losses, errors impose administrative burdens on clientele. Automation is a common tool for reducing errors. Little is known, however, about the factors that may augment automation’s effectiveness. We theorize that administrative errors are a function of program complexity. We expect automation to improve accuracy in less complex programs but worsen with increased complexity. With U.S. Unemployment Insurance program audit data, we use longitudinal Poisson analysis to test our expectations. Complexity is associated with greater incidences of administrative errors. As expected, automation’s effects vary with level of complexity.
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