提高O*NET对职业决策者的决策价值

IF 2.8 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
M. Bhatnagar
{"title":"提高O*NET对职业决策者的决策价值","authors":"M. Bhatnagar","doi":"10.1080/12460125.2021.2018982","DOIUrl":null,"url":null,"abstract":"ABSTRACT O*NET provides a comprehensive system for maintaining occupational data in the U.S. This paper proposes the implementation of a career decision support system that can enhance the decision value for career decision-makers. Existing O*NET infrastructure, which includes a group of informational portals, is evaluated and areas of improvement are revealed. Analytical capabilities of prediction and prescription are identified within the theoretical context provided by career decision research and O*NET. An evaluation framework based on the analytical hierarchy process and Bayesian statistics is proposed and used to compare decision values for the existing O*NET portal against conceptualised enhanced career decision support system functionality.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"1 - 18"},"PeriodicalIF":2.8000,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing the decision value of O*NET for career decision makers\",\"authors\":\"M. Bhatnagar\",\"doi\":\"10.1080/12460125.2021.2018982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT O*NET provides a comprehensive system for maintaining occupational data in the U.S. This paper proposes the implementation of a career decision support system that can enhance the decision value for career decision-makers. Existing O*NET infrastructure, which includes a group of informational portals, is evaluated and areas of improvement are revealed. Analytical capabilities of prediction and prescription are identified within the theoretical context provided by career decision research and O*NET. An evaluation framework based on the analytical hierarchy process and Bayesian statistics is proposed and used to compare decision values for the existing O*NET portal against conceptualised enhanced career decision support system functionality.\",\"PeriodicalId\":45565,\"journal\":{\"name\":\"Journal of Decision Systems\",\"volume\":\"32 1\",\"pages\":\"1 - 18\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2021-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Decision Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/12460125.2021.2018982\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Decision Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/12460125.2021.2018982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

在美国,O*NET提供了一个全面的职业数据维护系统。本文提出了一个职业决策支持系统的实现方案,可以提升职业决策者的决策价值。现有的O*NET基础设施(包括一组信息门户)进行了评估,并指出了需要改进的地方。在职业决策研究和O*NET提供的理论背景下,确定了预测和处方的分析能力。提出了一个基于分析层次过程和贝叶斯统计的评价框架,并将其用于比较现有O*NET门户网站的决策值与概念化的增强职业决策支持系统功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing the decision value of O*NET for career decision makers
ABSTRACT O*NET provides a comprehensive system for maintaining occupational data in the U.S. This paper proposes the implementation of a career decision support system that can enhance the decision value for career decision-makers. Existing O*NET infrastructure, which includes a group of informational portals, is evaluated and areas of improvement are revealed. Analytical capabilities of prediction and prescription are identified within the theoretical context provided by career decision research and O*NET. An evaluation framework based on the analytical hierarchy process and Bayesian statistics is proposed and used to compare decision values for the existing O*NET portal against conceptualised enhanced career decision support system functionality.
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
Journal of Decision Systems
Journal of Decision Systems OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
6.30
自引率
23.50%
发文量
55
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信