Dr. Jason Xianghua Wu is a Lecturer at the School of Information Systems and Technology Management (ISTM), UNSW Business School. Jason received his Ph.D. degree in Management Science from University of Texas at Arlington. He got his master degree in Economics in Zhejiang University and his Bachelor in information and computing science. Jason is enthusiastic about exploring human's behavior and psychology under different technology and business settings, using interdiscinplinary methodologies. His research interests lie at the intersections of behavioral operations, business analytics and information systems, with a focus on artificial intelligence (AI), online auctions, and other emerging technologies and economies.
Wu, J. X., Wu, Y., Chen, K. Y., & Hua, L. (2023). Building Socially Intelligent AI Systems: Evidence from the Trust Game Using Artificial Agents with Deep Learning. Management Science. Fast Track Paper, https://doi.org/10.1287/mnsc.2023.4782.
I enjoy teaching and have more than four years of teaching experience in business analytics and operations courses since 2018. My teaching philosophy is “to be an inspirer, helper, and learner”.
1) To be an inspirer. Interest is the best teacher. I believe the starting point of teaching is to inspire the students’ interest in the subject and thus engage them in an active and independent learning process.
2) To be a helper. Teaching is a meaningful activity to help the students succeed in their academic journey. I enjoy helping students to overcome difficulties and achieve their goals.
3) To be a learner. Being a good learner is a prerequisite for being a good teacher. I learn and accumulate real examples and relevant stories through teaching. This can in turn help me inspire the student and illustrate the concepts and definitions in a more clear and intuitive way. More importantly, as modern technology develops rapidly, it is crucial to keep learning new things to effectively deliver courses in emerging technologies and economies.