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FAN Haosheng

PhD in Marketing

Haosheng Fan is Assistant Professor of Marketing at NEOMA Business School. He received his BSc in Computer Science from City University of Hong Kong, MPhil and PhD in Marketing from Hong Kong University of Science and Technology. He teaches Pricing Strategy, Strategic Marketing and Services Marketing. His primary research interest is quantitative marketing, in particular in the area of innovation, contest, machine learning and visual marketing. His research focuses on the impact of various information structures on online platforms. He is also interested in adopting machine learning methods to deal with unstructured data such as texts, images, and videos. His research has been presented at the Marketing Science Conference.

Areas of research

  • Innovation
  • Big Data
  • Machine Learning
  • Visual Marketing
  • Bayesian Estimation

Academic conferences

  • FAN, H., "Information and Creativity in Innovation Contests" in INFORMS Marketing Science Conferences, 2019, Rome, United States
  • FAN, H., "Information and Incentives in Freelance Contests" in INFORMS Marketing Science Conferences, 2018, Philadelphia, United States