I'm Yu Gu, a fifth-year Ph.D. Candidate at the Department of Accounting and Information Systems at Rutgers University.
My research areas include Environmental, Social, Governance (ESG), auditing, data analytics, and blockchain. Specifically, I explore the potential exogenous data for ESG measurement and assurance and how to employ machine learning in auditing.
Thank you for visiting my webpage! Please feel free to reach out to me at yg431@rutgers.edu
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ESG Reporting
Government ESG reporting (smart city)
Yu Gu, Steven Katz, Xinxin Wang, Miklos Vasarhelyi, and Jun Dai. (2024). Government ESG reporting in smart cities. International Journal of Accounting Information Systems, 54, 100701.https://doi.org/10.1016/j.accinf.2024.100701
Company ESG reporting (Industry 4.0)
Wenjun Yu, Yu Gu, and Jun Dai. (2023) Industry 4.0-Enabled ESG Reporting: A Case from a Chinese Energy Company. Journal of Emerging Technologies in Accounting (20)1: 1-14. https://doi.org/10.2308/JETA-2022-014
ESG Measurement and Assurance
Yu Gu, Jun Dai, and Miklos Vasarhelyi. (2023). Audit 4.0-Based ESG Assurance: An Example of Using Satellite Images on GHG Emissions. International Journal of Accounting Information Systems, 50, 100625. https://doi.org/10.1016/j.accinf.2023.100625
Greenwashing
Yu Gu, Lanxin Jiang, and Jun Dai. Using Blockchain and Smart Contracts to Combat Greenwashing in Environmental Disclosures. Working paper.
Scope 3 Greenhouse Gas Emission
Lanxin Jiang, Yu Gu, Wenjun Yu, and Jun Dai. Blockchain-based Life Cycle Assessment System for ESG Reporting. Working paper.
ESG Taxonomy and Comparability
Lanxin Jiang, Yu Gu, and Jun Dai. (2023). Environmental, Social, and Governance Taxonomy Simplification: A Hybrid Text Mining Approach. Journal of Emerging Technologies in Accounting (20)1: 1-21. https://doi.org/10.2308/JETA-2022-041
Information Extraction from ESG Disclosure
Yu Gu, Lanxin Jiang, and Steven Katz. Information Extraction from ESG Reports Using NLP: A ChatGPT Comparison. Working paper.
Sustainability Policies and Practices for Corporate Governance in Latin America, Corporate Governance, OECD Publishing, Paris, https://doi.org/10.1787/76df2285-en.
ESG Commitment Determinants
Maher Kassar, Yu Gu, Arion Cheong, and Joon Ho Kong. Does Socially Responsible Investor Attention Influence Firms’ ESG Commitment? Working paper.
Decision Tree for Going Concern Assessment
Cleber Beretta Custodio, Yu Gu, and José Portela González. (2022). Decision Tree Tool for Auditors’ Going Concern Assessment in Spain. International Journal of Digital Accounting Research. Vol. 22, pp. 193- 226. ISSN: 2340-5058. https://doi.org/10.4192/1577-8517-v22_7
Men versus Machine in Going Concern Assessment
Yu Gu, Miklos Vasarhelyi, and Abigail Zhang. 2024. Synergizing Auditors and Machines: Evidence from Going Concern Assessment. Working paper.
Machine Learning for Abnormal Accrual Estimates
Yu Gu, Lanxin Jiang, Lei Zhao, and Abigail Zhang. 2024. Can Machine Learning Improve Accrual Estimates? Working paper.
Audit Data Analytics Comparison
Yu Gu, Lanxin Jiang, Heejae Lee, Danyang Wei, Liam Te-wierik, Soohyun Cho, and Miklos Vasarhelyi. 2024. Audit Data Analytics with Machine Learning, Data Visualization, and Auditor’s Judgment: A Field Study. Working paper.
Machine Learning for Misstatements Detection
Lanxin Jiang, Yu Gu, and Abigail Zhang. Detecting Risky Areas of Misstatements. Working paper.
Forward-looking Commentaries
Yu Gu, Qing Huang and Miklos Vasarhelyi. It’s Not Intelligence; It’s Functionality! Journal of Emerging Technologies in Accounting. Forthcoming.
Melissa Dardani, Yu Gu, Hanxin Hu, Ann Medinets, Dan Palmon, and Miklos Vasarhelyi. (2024). Rethinking the Standard-Setting Process: The Role of Intangibles. Journal of Emerging Technologies in Accounting, 1-20. https://doi.org/10.2308/JETA-2024-001
Continuous Risk Monitoring and Assessment
Zihao Zhang, Yu Gu, Lanxin Jiang, Wenjun Yu, and Jun Dai. (2023). IoT and Blockchain-based Smart Contracts: Enabling Continuous Risk Monitoring and Assessment (CRMA) in P2P Lending. Journal of Emerging Technologies in Accounting (20) 2: 1-14. https://doi.org/10.2308/JETA-2022-003