About Me

I am currently an assistant professor at University of Macau. My research focuses on applying psychology and economic theories to explain individual behavior in technology-mediated environments, to develop effective strategies for individuals and platforms, and to apply various computational methodologies to generate interdisciplinary research in business. Currently my research topics are in fintech, financial data analytics, social media, and e-commerce.

Publications

  • Yan Lin, Rui Shen, Jasmine Wang, and Y. Julia Yu (2024). Global Evolution of Environmental and Social Disclosure in Annual Reports. Journal of Accounting Research, https://doi.org/10.1111/1475-679X.12575 (UTD, FT50)

      ▪ Top 10 most-cited papers published by the journal in 2024 (by Clarivate Analytics)

      ▪ Mentioned by The European Corporate Governance Institute (ECGI): The Evolution of ESG Disclosure: More Words, Less Meaning?, Reported by CLS Blue Sky (Columbia Law School): Environmental and Social Disclosure Has Evolved Around the World

      ▪ Data and Code: https://github.com/jar-es-disclosure/global-es-disclosure

      ▪ SSRN Link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4500957

      ▪ JMR most cited paper from 2021–2022 (by Journal Citation Reports)

  • Yan Lin, Wai Fong Boh. "Informational Cues or Content? Examining Project Funding Decisions by Crowdfunders." Information and Management Volume 58, Issue 7, https://doi.org/10.1016/j.im.2021.103499

  • Yan Lin, Wai Fong Boh (2020). "How Different Are Crowdfunders? Examining Archetypes of Crowdfunders." Journal of the Association for Information Science and Technology, 71(11), 1357-1370 https://doi.org/10.1002/asi.24332

  • Liang Zhu, Yan Lin, Mingming Cheng (2020). "Sentiment and guest satisfaction with peer-to-peer accommodation: When are online ratings more trustworthy?"" International Journal of Hospitality Management, 86 https://doi.org/10.1016/j.ijhm.2019.102369

Working Papers and Projects

      ▪ Presentation: CSWIM 2026

  • Yutong Ma (PhD Student), Yan Lin, Yongdan Liu, Matthew Liu. First-Person for Micro, Third-Person for Macro: How Visual Perspective Alignment Drives Video Engagement.
  • Qian Wang, Yong Jin, Heng Tang, Yan Lin. How Blockchain Reconfigures Supply Chain Dependence: Evidence from a Quasi-Natural Experiment.
  • Xingyu Chen, Yan Lin, Dai Yao. All Smiles Are Not Created Equal: More Duchenne Smiles Leads to Less Extrinsic Rewards from Viewers in Live Streaming
  • Yan Lin, Yihong Su (PhD Student), Zhaobo Zhu. Empirical Asset Pricing via Learning-to-Rank, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6348379

      ▪ Presentation: 2026 China Fintech Research Conference (CFTRC2026)

Courses Taught

  • Master's Program (Msc): Introduction to Modern Financial Technology (現代金融科技導論)

  • Executive Program (DBA): Technology Advancement and Application for Business Management (商業管理中的先進科技與應用)

Grants

  • PI: Research on Financial Text Analysis System Based on Large Language Models (MOP, 398,000), 2025 - 2027, Science and Technology Development Fund, Macau SAR (澳門科學技術發展基金)

  • Co-PI: 基於AI和運籌規劃的營銷資源分配優化 Marketing Resource Allocation Based on AI and Operations Research (RMB, 500,000), 2025/6/13 - 2026/5/30, WeBank (微眾銀行)

  • PI: Machine Learning for Explainable Robo-adviser (RMB, 100,000), Multi-Year Research Grant (MYRG), 2024 - 2025, University of Macau

  • PI: Global Financial Text Analysis: ESG and Culture (MOP 150,000), Start-up Research Grant (SRG), 2022 – 2025, University of Macau

Education

PhD in Information Systems, Nanyang Business School, Nanyang Technological University, Singapore, 2017

Bachelor of Engineering in Computer Science and Technology Bachelor of Economics in Finance (Dual) University of Science and Technology of China, 2011

Contact

Email: yanlin[at]um[dot]edu[dot]mo

Address: E22-3072, Faculty of Business Administration, University of Macau, E22, Avenida da Universidade, Taipa, Macau, China

Recruitment

PhD Information

I am looking for PhD students in the area of Financial Text Analysis and LLM.

Here are the general requirements: 1. Strong academic background. 2. Highly motivated and is able to work independently. 3. Good command of English (spoken and academic writing). 4. Good programing skills (e.g., Python) and experienced with statistical software (e.g., Stata).

Scholarship

Qualified students will be recommended for the UM PhD Scholarship. PI funding is also available.

Please send me your resume and other materials if you are interested. Please understand that only shortlisted candidates will be contacted for an interview.