信息管理与商业智能系学术讲座

时间：2023年5月10日（周三）9:00 - 10:30

地点：腾讯会议435-382-566（嘉宾线上），李达三楼105室(线下)

主持人：信息管理与商业智能系青年副研究员刘子博

讲座嘉宾：亚利桑那州立大学助理教授 Dr. Tongxin Zhou

题目：Learning to be Proficient? A Structural Model of User Dynamic Engagement in eHealth Interventions

摘要：

eHealth interventions have transformed how individuals manage their health by offering prompt and accessible support for modifying their lifestyles. In this study, we investigate how individuals dynamically learn about the effectiveness of eHealth interventions to shed light on their continued participation. To capture the potential changes in individuals’ perceptions and associated behavior dynamics, we establish a hierarchical Bayesian learning framework to structurally characterize individuals’ decision-making processes. Through analysis of a 4-month dataset of users’ intervention participation in an online weight-loss platform, we demonstrate that individuals’ learning performance may vary significantly across intervention types. Given that individuals’ learning performance is largely influenced by the level of noise contained in the intervention experiences, we identified possible noise sources and proposed several denoising strategies to improve user engagement and learning outcomes, with their efficacy analyzed through counterfactual analysis.

简介：

Dr. Zhou is an Assistant Professor of Information Systems at the W. P. Carey School of Business, Arizona State University. She received her doctoral degree in Information Systems from University of Washington at Seattle. Her research interest lies in the transformational impact of information technology, with specific focuses on healthcare and eCommerce domains. She conducts research using multidisciplinary methodologies such as econometrics, machine learning, and statistical modeling. Her works have been published in Management Science and Information Systems Research, and have been recognized as a finalist in 2022 ISS Nunamaker-Chen Dissertation Award Competition, 2018 and 2020 CHITA (Conference on Health IT and Analytics) Best Student Paper Competition, and 2018 INFORMS eBusiness Best Paper Competition.】