Applications
Operations-Marketing Interface; Platform Operations; Socially Responsible Operations; Economics of Information, Digitization, and Artificial Intelligence.
I hope my research could contribute positively to the world.

Methodologies
Applied Econometrics; Machine Learning; Large Language Models; Game Theory.
I choose the most appropriate methodology according to the research problems.

Attribute and Quality Information Disclosure on Digital Content Platforms: Theory and Empirical Evidence
with Hu Huang, Ying-Ju Chen, Xin Wang. Ready for submission to Production and Operations Management. Job Market Paper.
Details: This paper theoretically and empirically explores information disclosure strategies in the digital content platform. Our results indicate that firms with higher vertical quality are less likely to disclose attribute information to consumers, irrespective of the availability of quality information.

Mergers and Product Repositioning: Theory and Empirical Evidence
with Soo-Haeng Cho, Zijun Shi, Xin Wang. Ready for submission to Manufacturing & Service Operations Management.
Details: This paper theoretically and empirically evaluates the merger effects of consumer welfare after product repositioning. A merger between two firms in the high-end markets is possible to improve consumer surplus, whereas a merger between two firms in the low-end markets always hurts consumers.

Text-Based Measurement and Analysis of Firm-Level Price Expectations from Earnings Call Transcripts
with Yunning Zhao, Ying-Ju Chen, Shenghai Zhou.
Details: This paper utilizes the textual analysis method (BERT) to develop a paradigm for measuring firms’ expectations and construct a novel firm-level indicator of firms’ price expectations based on over 400, 000 quarterly earnings conference-call transcripts.

As a researcher in empirical operations management, I have established many strong connections with industry and academia. Typically, it takes several years to await the outcomes of an empirical research project. Patience, enthusiasm, and a touch of luck are indispensable companions on this academic journey. I list some of my ongoing work here.

Selling Virtual Currency in Free-to-Play Mobile Games: Theory and Empirical Evidence
with Ying-Ju Chen.
Details: This paper theoretically and empirically examines the optimal virtual currency strategy of the free-to-play mobile game design scenario. The data is obtained through a game data agency who provides everyday investigations over apps across different platforms.

AI in Fundraising: Predictive Modeling in Charitable Giving
with Ying-Ju Chen, Dejie Kong.
Details: This paper aims to help prosocial organizations to find their optimal fundraising strategies. The data is obtained through a prosocial data platform who provides services to a large number of NGOs.

Optimal Pricing and Promotion Strategies for an AI Startup Offering Software-Hardware Emotion Solutions
with Ying-Ju Chen, Jingyang Wu.
Details: This paper aims to help AI startup in their beginning period. The data is obtained from an AI startup company.

Courses I have served as a teaching assistant:
Optimizing Decisions for Personal and Business Development (Undergraduate Spring 2023)
Industrial Engineering and Decision Analytics (Undergraduate Fall 2020, Fall 2021)
Engineering Management (Undergraduate Spring 2019)
Service Engineering and Management (Undergraduate Spring 2020, Spring 2021, Fall 2022)
Operation/Production Management (Master Spring 2021)
Global Supply Chain Management (Master Fall 2022)

My duties: Give weekly tutorial, assignment and exam design, lecture assistant, grading work, office hour. Students said that I was friendly and helpful. ❤️