{"title":"基于审计4.0的ESG保证:使用卫星图像进行GHG排放的示例","authors":"Yu Gu , Jun Dai , Miklos A. Vasarhelyi","doi":"10.1016/j.accinf.2023.100625","DOIUrl":null,"url":null,"abstract":"<div><p>As Environment, Social, and Governance (ESG) information has become an essential resource for investors, regulators have attempted to assure its quality. While more companies offer ESG disclosure, it is usually not fully substantiated with supporting information. Assurance is needed to verify that ESG reports are free of substantive errors. However, traditional financial audit approaches are less effective in providing ESG assurance due to the difference in the nature of evidence, difficulty in measuring and verifying ESG measures, and ever-changing ESG performance. To increase the effectiveness of ESG audit approaches, this study proposes Audit 4.0-based ESG assurance, which uses Big Data and emerging technologies of Audit 4.0 to capture evidence from the physical world and provide accurate assurance on ESG reports in a timely manner. We further perform a case study as a proof of concept of the proposed approach, which explores the integration of satellite-based methane estimation as ESG audit evidence. The use of satellite images provides opportunities for regulators and companies to monitor and assure ESG reports in a continuous manner.</p></div>","PeriodicalId":47170,"journal":{"name":"International Journal of Accounting Information Systems","volume":"50 ","pages":"Article 100625"},"PeriodicalIF":4.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Audit 4.0-based ESG assurance: An example of using satellite images on GHG emissions\",\"authors\":\"Yu Gu , Jun Dai , Miklos A. Vasarhelyi\",\"doi\":\"10.1016/j.accinf.2023.100625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>As Environment, Social, and Governance (ESG) information has become an essential resource for investors, regulators have attempted to assure its quality. While more companies offer ESG disclosure, it is usually not fully substantiated with supporting information. Assurance is needed to verify that ESG reports are free of substantive errors. However, traditional financial audit approaches are less effective in providing ESG assurance due to the difference in the nature of evidence, difficulty in measuring and verifying ESG measures, and ever-changing ESG performance. To increase the effectiveness of ESG audit approaches, this study proposes Audit 4.0-based ESG assurance, which uses Big Data and emerging technologies of Audit 4.0 to capture evidence from the physical world and provide accurate assurance on ESG reports in a timely manner. We further perform a case study as a proof of concept of the proposed approach, which explores the integration of satellite-based methane estimation as ESG audit evidence. The use of satellite images provides opportunities for regulators and companies to monitor and assure ESG reports in a continuous manner.</p></div>\",\"PeriodicalId\":47170,\"journal\":{\"name\":\"International Journal of Accounting Information Systems\",\"volume\":\"50 \",\"pages\":\"Article 100625\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Accounting Information Systems\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1467089523000179\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Accounting Information Systems","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1467089523000179","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Audit 4.0-based ESG assurance: An example of using satellite images on GHG emissions
As Environment, Social, and Governance (ESG) information has become an essential resource for investors, regulators have attempted to assure its quality. While more companies offer ESG disclosure, it is usually not fully substantiated with supporting information. Assurance is needed to verify that ESG reports are free of substantive errors. However, traditional financial audit approaches are less effective in providing ESG assurance due to the difference in the nature of evidence, difficulty in measuring and verifying ESG measures, and ever-changing ESG performance. To increase the effectiveness of ESG audit approaches, this study proposes Audit 4.0-based ESG assurance, which uses Big Data and emerging technologies of Audit 4.0 to capture evidence from the physical world and provide accurate assurance on ESG reports in a timely manner. We further perform a case study as a proof of concept of the proposed approach, which explores the integration of satellite-based methane estimation as ESG audit evidence. The use of satellite images provides opportunities for regulators and companies to monitor and assure ESG reports in a continuous manner.
期刊介绍:
The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.