科学研究

赵琳，西南财经大学工商管理学院教授、博士生导师、光华杰出学者计划特聘教授，四川省天府峨眉计划创新领军人才。在清华大学数学系取得理学学士学位、理学博士学位。主要研究方向包括决策理论与方法、行为经济学、行为管理学，以及它们在投资、生产和消费决策方面的应用。主持国家杰出青年科学基金项目、国家自然科学基金重点项目子课题、面上项目、青年项目、电商平台合作研发项目等。在Management Science、European Journal of Operational Research、Review of Corporate Finance Studies、Journal of Risk and Insurance等国际期刊上发表三十余篇学术论文。目前担任Management Science决策分析领域Associate Editor、Decision Sciences决策分析领域Editorial Reviewer、Financial Innovation执行编辑。

The pull-to-center bias is found to prevail robustly in newsvendor orders in laboratory experiments. To explain this bias, various behavioral mechanisms have been proposed, among which regret aversion is a widely mentioned mechanism. We test this mechanism with an EEG-based neural measure on experienced regret that is exactly triggered by comparisons with counterfactual payoffs. The strength of the regret signal effectively predicts the magnitude of the pull-to-center bias out-of-sample, suggesting the avoidance of experienced regret as a fundamental driver of this behavioral bias. Algorithmic recommendation pushes subjects closer to optimal behavior, and its role is more significant for subjects who are more prone to experienced regret. Our study identifies a behavioral channel through which algorithm supports decision makers, and justifies the general relevance of neuro activities to operations management.