From Opacity to Transparency

S. Kuruvilla
{"title":"From Opacity to Transparency","authors":"S. Kuruvilla","doi":"10.7591/cornell/9781501754517.003.0010","DOIUrl":null,"url":null,"abstract":"This chapter studies specific ways in which opacity can be reduced — through the use of niche institutions, by stimulating the internalization goals of private regulation, and through fostering a critical mindset. It draws attention to the varieties of transparency required and specifically to the integration and inclusion of workers in private regulation programs to stimulate internalization of goals, especially through worker participation in compliance auditing and through methods such as surveys by which workers' perspectives are heard. The chapter then highlights the need for more data sharing, data analysis, and predictive modeling and concludes with specific recommendations for the variety of actors in private regulation to move the institutional field from opacity to transparency. Only through data analysis can we generate the predictive models that allow for evidence-based decision making and identification of other means by which the coupling of private regulation programs with worker outcomes can be increased. Ultimately, workers and trade unions, in what has been called contingent coupling, can help “shrink the gap between practices and outcomes” for workers by leveraging the private regulation policies of brands.","PeriodicalId":20516,"journal":{"name":"Private Regulation of Labor Standards in Global Supply Chains","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Private Regulation of Labor Standards in Global Supply Chains","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7591/cornell/9781501754517.003.0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This chapter studies specific ways in which opacity can be reduced — through the use of niche institutions, by stimulating the internalization goals of private regulation, and through fostering a critical mindset. It draws attention to the varieties of transparency required and specifically to the integration and inclusion of workers in private regulation programs to stimulate internalization of goals, especially through worker participation in compliance auditing and through methods such as surveys by which workers' perspectives are heard. The chapter then highlights the need for more data sharing, data analysis, and predictive modeling and concludes with specific recommendations for the variety of actors in private regulation to move the institutional field from opacity to transparency. Only through data analysis can we generate the predictive models that allow for evidence-based decision making and identification of other means by which the coupling of private regulation programs with worker outcomes can be increased. Ultimately, workers and trade unions, in what has been called contingent coupling, can help “shrink the gap between practices and outcomes” for workers by leveraging the private regulation policies of brands.
从不透明到透明
本章研究了减少不透明度的具体方法——通过使用利基机构,通过刺激私人监管的内部化目标,以及通过培养批判性思维。它提请注意所需的各种透明度,特别是将工人纳入私人监管计划,以刺激目标的内部化,特别是通过工人参与合规性审计和通过诸如听取工人观点的调查等方法。然后,本章强调需要更多的数据共享、数据分析和预测建模,并在结论中对私人监管中的各种参与者提出了具体建议,以使机构领域从不透明转向透明。只有通过数据分析,我们才能生成预测模型,从而允许基于证据的决策和识别其他方法,通过这些方法可以增加私人监管计划与工人成果的耦合。最终,工人和工会,在所谓的偶然性耦合中,可以通过利用品牌的私人监管政策,帮助工人“缩小实践与结果之间的差距”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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