Research Interests
- Digital Platforms
- Open Innovation
- Artificial Intelligence
- Crowdsourcing and Online Labor Markets
- Social Media Advertisement
- Methods: Applied Econometrics, Experiments, Machine Learning, Text Mining, and Image Analysis
Research Publications
- UTD 24 = Top 24 journals for UT Dallas Top 100 Business School Research Rankings;
- FT 50 = Top 50 Journals used in Financial Times Research Rank
- Mo,J., Sarkar, S., and Chen, J. 2024. "Sponsored Tasks and Solver Participation in Crowdsourcing Contests", Information Systems Research (ISR). Conditionally Accepted. (UTD 24 and FT 50)
- Mo, J., and Zhang, N. 2024. "The Temporal Effects of Information Framing on Solver Participation in Open Innovation Contests", Information Systems Research (ISR). Accepted. (UTD 24 and FT 50)
- Chen, Y., Boh, W.F., and Mo, J. 2024. “Different Types of Online Social Exchanges: Effects on Online Sellers’ Sales Performance.” Information & Management. 61(6).
- Mo, J., Sarkar, S., and Menon, S. 2021. “The Impact of Competing Tasks on Task Quality in Crowdsourcing Contests.” MIS Quarterly. 2021. MIS Quarterly. 45(4), pp. 1291-1948. (UTD 24 and FT 50)
- Mo, J., Sarkar, S., and Menon, S. 2018. “Making Recommendations in Crowdsourcing Contests.” MIS Quarterly. 42(3), pp. 919-944. (UTD 24 and FT 50)
