讲座人介绍：
赵琳，中国科学院数学与系统科学研究院，副研究员。2005年、2010年分別获得清华大学理学学士和理学博士学位。毕业后任职于中国科学院预测科学研究中心。在Management Science，European Journal of Operational Research，Journal of Risk and Insurance，Journal of Financial Services Research，Economics Letters，Insurance: Mathematics and Economics等期刊发表论文近三十篇。主持参与近十项国家自然科学基金，国家社科基金和中国博士后科学基金。曾于2011年获第六届保险教育论坛优秀论文一等奖，获2012年清华大学优秀博士后称号，2017年系统科学“关肇直”青年研究奖，2018年和2019年台湾玉山学术奖。其论文Everything in Moderation、It is Time to Get Some Rest 被多国英文主流媒体报道，包括Washington Post (United States)、UVA Today (United States)，Darden Ideas to Action (United States)，Business News Daily (United States)，HR Katha (India)， Handwerk Magazin (Germany)，IP Insider (Germany)，Ressources Solidaires (France)，Recruiting Times (United Kingdom)，Signes&Sens (France)，Deutscher Marketing Verband (Germany)，Relocate Magazine (United Kingdom)，DNA India (India)，Times Higher Education (United Kingdom)等。部分成果入选达顿商学院课程案例。从2019年11月起，赵琳担任Management Science中决策分析领域的副主编。
讲座内容：
Models where current utility depends solely on current consumption (a.k.a. time separable preferences) are widely acknowledged to be unrealistic, specially to describe preferences over consumption rates. Alternatively, one may stipulate that instant utility also depends on a state, e.g., some stock of past consumption. Escaping the gravitational pull of time separability, however, is di cult because i) the behavioral axioms that characterize the state and the instant utility are not known, ii) how to elicit the preference parameters|most notably the initial level of the state and the decay rate|is not known, and iii) managerial applications where state-dependent preferences produce interesting insights and solutions are scarce. This paper advances on these three fronts by proposing a novel set of axioms that characterize the satiation model, a proof of concept on how to elicit all preference parameters using consumption rates, and a mixed integer linear formulation to solve the optimal design of experiential services under satiation. Our preferences introduce a de-satiation motive, absent in separable preferences, and we explore how to optimally manage this motive. The dual version of fatigue and productivity is also explored.
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