主讲嘉宾：Prof. Mantian (Mandy) Hu

讲座时间：2024年5月29日（周三）14:00

讲座地点：重庆大学B区经济与工商管理学院001室

嘉宾简介：

Mantian (Mandy) Hu is Associate Professor in the Department of Marketing at the Chinese University of Hong Kong. She is also the directorof the MSc in marketing program and the Center for Consumer Insights.Her research focuses on using quantitative models to study and explain consumer behaviors using big data in industries such as telecommunication, automobile, e-commerce and FinTech. In particular, she is interested in the effects of social network, word-of-mouth, search and learning on influencing consumer behavior.

Her research has been published in Marketing Science,Management Scicnce,The International Journal of Research in Marketing and other leading international journals. She has edited and published two books, and holds three patents. She was the winner of the 2011 Doctoral Dissertation Proposal Competition sponsored by Society for Marketing Advances (USA)and awarded Faculty Teaching Merit Award at CUHK in 2021-2022.She serves as an independent non executive director for the listed transportation and logistic company SITC International Holdings Company Limited.

Professor Hu received BA in Economics from Fudan University and PhD in Marketing from Stern School of Business at New York University.

讲座摘要：

Workers often have unobserved characteristics, e.g., soft skills, that are important for teamwork. In this paper, we formulate and estimate a model of teamwork that imposes no functional form restrictions on the complementarity between different unobserved types of workers.Our modeling approach, which builds on the stochastic block models in statistics (e.g., Bickel et al., 2013) and the econometric framework developed by Bonhomme (2021), that quantify individual contributions when only teams' outputs are observed. We apply our model to a data set from a leading Chinese real estate company； the data contain the complete history of team assignments, team performances,and detailed property characteristics. We find evidence that complementarities between different agent types are heterogeneous and cannot be captured by commonly used production functions. More specifically, workers of intermediate solo performance complement all other types of workers the most; the best solo-performing workers, however, are not the best team players. Our findings suggest that firms can improve productivity by redesigning teams without incurring additional hiring costs. Leveraging our complementarity estimates, we use counterfactual experiments to show that restructuring teams can improve overall team output by up to 28.4%.