ESG 报告中的信任:用于激励性核查的智能 Veri-Green 解决方案

IF 6.9 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Liyuan Liu , Zhiguo Ma , Yiyun Zhou , Melissa Fan , Meng Han
{"title":"ESG 报告中的信任:用于激励性核查的智能 Veri-Green 解决方案","authors":"Liyuan Liu ,&nbsp;Zhiguo Ma ,&nbsp;Yiyun Zhou ,&nbsp;Melissa Fan ,&nbsp;Meng Han","doi":"10.1016/j.bcra.2024.100189","DOIUrl":null,"url":null,"abstract":"<div><p>In today's corporate environment, Environmental, Social, and Governance (ESG) reports crucially reflect an organization's commitment to sustainability, environmental preservation, and social responsibility. As corporations share these detailed reports, the responsibility to validate and assure adherence to respected ESG benchmarks critically lies with third-party assurance organizations. However, the essential verification process often encounters challenges related to authenticity, credibility, and fairness, underscoring the need for a new solution. The selection of verifiers is a crucial aspect of this process, as their expertise and impartiality directly impact the validity and trustworthiness of the verification. Consequently, “Veri-Green,” an innovative blockchain-based incentive mechanism, has been introduced to improve the ESG data verification process. Considering potential risks in verification systems, such as reputational damage due to oversight or inadvertent approval of inaccurate data, and data security risks involving the management of sensitive organizational information, the verifier selection process needs to be thoroughly considered and designed. Through the utilization of advanced machine learning algorithms, potential verification candidates are precisely identified, followed by the deployment of the Vickrey Clarke Groves (VCG) auction mechanism. This approach ensures the strategic selection of verifiers and cultivates an ecosystem marked by truthfulness, rationality, and computational efficiency throughout the ESG data verification process. In this framework, verifiers are not only encouraged but also properly incentivized, developing a more transparent and equitable verification process, thereby driving the ESG agenda towards a future defined by genuine, impactful corporate responsibility and sustainability.</p></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 2","pages":"Article 100189"},"PeriodicalIF":6.9000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096720924000022/pdfft?md5=a05aa881600d205edb9fd810828ad931&pid=1-s2.0-S2096720924000022-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Trust in ESG reporting: The intelligent Veri-Green solution for incentivized verification\",\"authors\":\"Liyuan Liu ,&nbsp;Zhiguo Ma ,&nbsp;Yiyun Zhou ,&nbsp;Melissa Fan ,&nbsp;Meng Han\",\"doi\":\"10.1016/j.bcra.2024.100189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In today's corporate environment, Environmental, Social, and Governance (ESG) reports crucially reflect an organization's commitment to sustainability, environmental preservation, and social responsibility. As corporations share these detailed reports, the responsibility to validate and assure adherence to respected ESG benchmarks critically lies with third-party assurance organizations. However, the essential verification process often encounters challenges related to authenticity, credibility, and fairness, underscoring the need for a new solution. The selection of verifiers is a crucial aspect of this process, as their expertise and impartiality directly impact the validity and trustworthiness of the verification. Consequently, “Veri-Green,” an innovative blockchain-based incentive mechanism, has been introduced to improve the ESG data verification process. Considering potential risks in verification systems, such as reputational damage due to oversight or inadvertent approval of inaccurate data, and data security risks involving the management of sensitive organizational information, the verifier selection process needs to be thoroughly considered and designed. Through the utilization of advanced machine learning algorithms, potential verification candidates are precisely identified, followed by the deployment of the Vickrey Clarke Groves (VCG) auction mechanism. This approach ensures the strategic selection of verifiers and cultivates an ecosystem marked by truthfulness, rationality, and computational efficiency throughout the ESG data verification process. In this framework, verifiers are not only encouraged but also properly incentivized, developing a more transparent and equitable verification process, thereby driving the ESG agenda towards a future defined by genuine, impactful corporate responsibility and sustainability.</p></div>\",\"PeriodicalId\":53141,\"journal\":{\"name\":\"Blockchain-Research and Applications\",\"volume\":\"5 2\",\"pages\":\"Article 100189\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2096720924000022/pdfft?md5=a05aa881600d205edb9fd810828ad931&pid=1-s2.0-S2096720924000022-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blockchain-Research and Applications\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2096720924000022\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blockchain-Research and Applications","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096720924000022","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

在当今的企业环境中,环境、社会和治理(ESG)报告在很大程度上反映了企业对可持续发展、环境保护和社会责任的承诺。在企业分享这些详细报告的同时,验证和确保遵守受尊重的 ESG 基准的责任就落在了第三方鉴证机构的肩上。然而,重要的验证过程经常会遇到真实性、可信度和公平性方面的挑战,这就凸显了对新解决方案的需求。核查人员的选择是这一过程的关键环节,因为他们的专业知识和公正性直接影响到核查的有效性和可信度。因此,"Veri-Green "是一种基于区块链的创新激励机制,旨在改进 ESG 数据验证流程。考虑到验证系统中的潜在风险,如由于疏忽或无意中批准了不准确的数据而造成的声誉损失,以及涉及敏感组织信息管理的数据安全风险,验证者的选择过程需要进行全面的考虑和设计。通过利用先进的机器学习算法,可精确识别潜在的验证候选者,然后部署维克里-克拉克格罗夫(VCG)拍卖机制。这种方法确保了对验证者的战略性选择,并在整个 ESG 数据验证过程中培养了一个以真实性、合理性和计算效率为标志的生态系统。在此框架下,核查人员不仅受到鼓励,还能得到适当的激励,从而形成一个更加透明和公平的核查流程,进而推动 ESG 议程朝着真正具有影响力的企业责任和可持续发展的方向发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust in ESG reporting: The intelligent Veri-Green solution for incentivized verification

In today's corporate environment, Environmental, Social, and Governance (ESG) reports crucially reflect an organization's commitment to sustainability, environmental preservation, and social responsibility. As corporations share these detailed reports, the responsibility to validate and assure adherence to respected ESG benchmarks critically lies with third-party assurance organizations. However, the essential verification process often encounters challenges related to authenticity, credibility, and fairness, underscoring the need for a new solution. The selection of verifiers is a crucial aspect of this process, as their expertise and impartiality directly impact the validity and trustworthiness of the verification. Consequently, “Veri-Green,” an innovative blockchain-based incentive mechanism, has been introduced to improve the ESG data verification process. Considering potential risks in verification systems, such as reputational damage due to oversight or inadvertent approval of inaccurate data, and data security risks involving the management of sensitive organizational information, the verifier selection process needs to be thoroughly considered and designed. Through the utilization of advanced machine learning algorithms, potential verification candidates are precisely identified, followed by the deployment of the Vickrey Clarke Groves (VCG) auction mechanism. This approach ensures the strategic selection of verifiers and cultivates an ecosystem marked by truthfulness, rationality, and computational efficiency throughout the ESG data verification process. In this framework, verifiers are not only encouraged but also properly incentivized, developing a more transparent and equitable verification process, thereby driving the ESG agenda towards a future defined by genuine, impactful corporate responsibility and sustainability.

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
CiteScore
11.30
自引率
3.60%
发文量
0
期刊介绍: Blockchain: Research and Applications is an international, peer reviewed journal for researchers, engineers, and practitioners to present the latest advances and innovations in blockchain research. The journal publishes theoretical and applied papers in established and emerging areas of blockchain research to shape the future of blockchain technology.
×
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