Improving the US Workforce System by Transforming its Performance Measurement System into an Intelligent Information System

被引:0
|
作者
Eberts, Randall W. W. [1 ,2 ]
机构
[1] W E Upjohn Inst Employment Res, Kalamazoo, MI USA
[2] WE Upjohn Inst Employment Res, 300 South Westnedge Ave, Kalamazoo, MI 49007 USA
关键词
workforce system; performance measures; data; economic development; evidence-based decision making; continuous improvement;
D O I
10.1177/08912424221143362
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
A smart public workforce system requires customized tools to help customers navigate through the complexities of finding a job or finding qualified workers. It also requires that information flow in both directions-from customers to the workforce system and vice versa. This commentary shows some early attempts at constructing algorithms to develop tools and proposes research that is necessary for future refinements. The Workforce Innovation and Opportunity Act (WIOA), the federal program that provides most funds and guidance for the nation's public workforce system, offers some direction for states to follow in constructing various aspects of these tools. The early attempts include a pilot for Georgia, called Frontline Decision Support System (FDSS), and the Value-Added Performance Improvement System (VAPIS) for the state of Michigan. Future research must answer questions such as the efficacy of AI over regression, and how does one go about evaluating such tools.
引用
收藏
页码:20 / 26
页数:7
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