【活动三】数据科学与管理工程学系学术讲座No.37：Combating Child Labor: Incentives and Information Disclosure in Global Supply Chains 2018/04/25时间：周三上午9:00–11:00
地点：浙大紫金港校区行政楼1102会议室
主讲人：方心博士，新加坡管理大学李光前商学院(SMU)
嘉宾简介：
方心博士，目前是新加坡管理大学李光前商学院的助理教授。他于2008年从复旦大学获得信息管理与信息系统本科学位，又于2014年从美国卡耐基梅隆大学获得运营管理博士学位。方心博士的研究方向是全球供应链网络中的竞争和合作。他的研究把合作博弈、非合作博弈以及社会关系网络理论应用在分销系统、供应链风险与责任以及电子商务领域。他的部分研究成果已经发表在Operations Research、Manufacturing and Service Operations Management等国际顶级期刊上。
讲座摘要：
Nearly 200 million children are engaged in child labor, many in developing countries that are part of the supply base of global manufacturing networks. This paper models a multinational firm in a developed country selling the product made by a supplier in a developing country. The firm can influence its supplier's use of child labor through its pricing and inspection. We find that the firm's pricing and inspection strategies work as strategic substitutes in combating child labor, so reducing the cost of inspections alone does not necessarily help to reduce child labor. When information about the firm's inspection policy is disclosed, the firm's inspection strategy can become more effective, but it may inadvertently induce more child labor unless the firm adopts a zero-tolerance policy against child labor.
【活动十】PIEGL Career Day 2018/04/27时间：周五上午10:00至下午16:00
地点：浙大紫金港校区行政楼302
【活动十】PIEGL Career Day 2018/04/27时间：周五上午10:00至下午16:00
地点：浙大紫金港校区行政楼302
【活动十一】数据科学与管理工程学系学术讲座No.39：Location, Selection and Influence in Mobile Environments 2018/04/27时间：周五下午14:00 –15:30
地点：浙大紫金港校区行政楼1002会议室
主讲人：Liye Ma， Associate Professor, University of Maryland
嘉宾简介：
Liye Ma现为美国马里兰大学史密斯商学院市场营销系副教授,卡内基梅隆大学泰伯商学院博士。他的研究兴趣包括Dynamic and Interactive Consumer Decisions, Internet/ Social Media Marketing, Mobile Marketing, Choice Models, Theory-Driven Econometric Models, Big Data, Machine Learning。在Management Science、Marketing Science、Journal of Marketing Research、Information Systems Research等TOP期刊上发表多篇论文，并担任Journal of Marketing Research的编委。
讲座摘要：
Firms interact with their customers through both direct channels and indirect communications via social networks. The key to successful integrated marketing communications is the identification of the separate effects of these interactions. The recent rise of mobile marketing adds an additional layer of complexity, as the location and context in which customers receive promotions determine their responses. In this study, we use a unique dataset from a mobile platform that sends geo-located coupons to customers and allows them to recommend offerings to friends, to empirically investigate the effectiveness of location-based targeting in consumer’s multi-stage decision process, and to identify the selection effect and influence effect of friend recommendations. Our results show that geo-targeting is effective in reaching customers, and in generating conversions for shopping oriented locations. We also find significant effect of friend recommendations, which is mostly attributed to the selection effect. The selection and influence effects also depend on how selective a consumer is in making recommendations and how closely connected she is to her friends. These findings provide direct guidance to developing effective mobile targeting strategies.