扫描二维码
关注集团

首页  新闻动态  学术活动

邀请美国匹兹堡大学Katz商学院Jennifer Shang教授学术报告

发布时间:2023/11/22 20:53:16



赌钱网址建校100周年

赌钱网址系列学术报告第64


报告题目:Data-Driven Research Methods

报告人:美国匹兹堡大学Katz商学院 Jennifer Shang  教授

主持人:赌钱网址(中国)有限公司  秦绪伟教授  卢震副教授

报告时间:20231219日(周二)上午  9:30 --12:30

腾讯会议号:217-329-697


报告摘要:

Data-Driven Research Methods” course is designed to broaden and enrich students' knowledge and understanding of statistical concepts. Multivariate statistical techniques can be used to analyze data in many fields such as Finance, Production and Operations, Accounting, Marketing, Personnel Management, etc. Through overviewing actual applications in various fields and in-class exercises involving real-world data, students can apply the techniques to topics such as consumer and market research, supply chain analytics, creditworthiness and risk assessment, stress test, and early warning signals outside pre-set limits, and make better business decisions. The course will teach students to better derive insights from data, ask questions to shape business vision and to drive value. They will also be able to improve business processes by using the right data insights as decision makers and incorporating these insights into management decisions. The main purpose of this course is to enhance students' data-driven analytical skills to the level necessary to deal with Data Mining and other essential material in the Business Analytics domain.


报告人简介:

Prof. Jennifer Shang is a professor of Business Administration and area director for Business Analytics and Operations at the Katz School of Business at the University of Pittsburgh and a renowned scholar in the field of operations management and decision-making science in the United States. Prof. Shang’s research focuses on healthcare analytics, operations management, and e-commerce. She applies data/business analytics approaches to enhance patient care outcomes and improve hospital’s operational efficiency. She also develops theoretical and heuristic approaches to improve the productivity and quality of business operations; employs multi-criteria decision-making techniques (e.g., AHP/ANP, DEA) to measure organization’s relative efficiency; and combines intangible human judgment with objective data to effectively rank options and predict outcomes. She has published more than 140 papers. Among them, 9 12 papers have been published in top academic journals such as Management Science, Journal of Marketing, Marketing Science, Information Systems Research, Production and Operations Management, Manufacturing & Service Operations Management, INFORMS Journal on Computing, Journal of Marketing Research, etc. and 30 of them in EJOR.


欢迎有兴趣的师生积极参加!



上一篇:下一篇:

快速链接

扫一扫,欢迎关注
管理学院官方微信