通过将绩效衡量系统转变为智能信息系统来改善美国劳动力系统

IF 1.7 4区经济学 Q3 DEVELOPMENT STUDIES

Economic Development Quarterly Pub Date : 2022-12-05 DOI:10.1177/08912424221143362

R. Eberts

{"title":"通过将绩效衡量系统转变为智能信息系统来改善美国劳动力系统","authors":"R. Eberts","doi":"10.1177/08912424221143362","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":"37 1","pages":"20 - 26"},"PeriodicalIF":1.7000,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving the U.S. Workforce System by Transforming its Performance Measurement System into an Intelligent Information System\",\"authors\":\"R. Eberts\",\"doi\":\"10.1177/08912424221143362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":47367,\"journal\":{\"name\":\"Economic Development Quarterly\",\"volume\":\"37 1\",\"pages\":\"20 - 26\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2022-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Development Quarterly\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1177/08912424221143362\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DEVELOPMENT STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Development Quarterly","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1177/08912424221143362","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}

引用次数: 0

摘要

一个智能的公共劳动力系统需要定制的工具来帮助客户解决找工作或寻找合格工人的复杂性。它还要求信息双向流动——从客户到劳动力系统，反之亦然。这篇评论展示了一些早期构建算法以开发工具的尝试，并提出了未来改进所需的研究。《劳动力创新与机会法案》（WIOA）是为国家公共劳动力系统提供大部分资金和指导的联邦计划，为各州在构建这些工具的各个方面提供了一些方向。早期的尝试包括在佐治亚州进行试点，称为前线决策支持系统（FDSS），以及在密歇根州进行增值性能改进系统（VAPIS）。未来的研究必须回答诸如人工智能对回归的功效，以及如何评估这些工具等问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Improving the U.S. Workforce System by Transforming its Performance Measurement System into an Intelligent Information System

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Economic Development Quarterly Multiple-

CiteScore

2.20

自引率

13.30%

发文量

期刊介绍： Economic development—jobs, income, and community prosperity—is a continuing challenge to modern society. To meet this challenge, economic developers must use imagination and common sense, coupled with the tools of public and private finance, politics, planning, micro- and macroeconomics, engineering, and real estate. In short, the art of economic development must be supported by the science of research. And only one journal—Economic Development Quarterly: The Journal of American Economic Revitalization (EDQ)—effectively bridges the gap between academics, policy makers, and practitioners and links the various economic development communities.