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Biography

Dr. Ke is a Professor of Accounting, Provost’s Chair, and Director of Asia Accounting Research Centre at the NUS Business School since 2015. He is a holder of the prestigious “Chang Jiang Scholar” (“长江学者”) title awarded by China’s Ministry of Education and the Li Ka Shing Foundation (http://www.lksf.org/eng/project/education/ckh_award/main01.shtml). He was the President of the Chinese Accounting Professors Association of North America (www.capana.net), a leading academic organization that promotes high-quality accounting research on China, the Asia Pacific region, and other emerging market economies.

Dr Ke’s primary teaching interests include financial accounting principles, financial statement analysis, and doctoral seminars on empirical financial accounting research. He has also taught U.S. federal income taxation.

Dr. Ke’s primary research interests focus on the economic forces that determine the production and use of accounting information in business decisions. He is interested in using interdisciplinary approaches to tackle today’s complex business problems. Examples of his research include earnings management, insider trading, institutional investors, and financial analysts. Dr. Ke’s recent research focuses on financial reporting, managerial incentives, and investor protection in emerging markets with a particular focus on China. His research has been published in all major accounting journals, including The Accounting Review, Journal of Accounting and Economics, Journal of Accounting Research, Review of Accounting Studies, and Contemporary Accounting Research.

Dr. Ke is a consulting editor of the China Journal of Accounting Research, a current or former editorial board member of the Journal of American Taxation Association, The Accounting Review, and The International Journal of Accounting. He was an advisory board member of the Accounting Research in China published by the Accounting Society of China. He was an editor of The Accounting Review over June 2011-May 2014.

Song Lin is an Assistant Professor of Marketing at the Department of Marketing of Hong Kong University of Science and Technology. He holds a PhD in Marketing from Massachusetts Institute of Technology. His research interests include product and pricing polices, platform design, consumer learning and search, new products, and advertising.  He has won the 2013 INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Proposal Competition, and the finalist for the 2015 John Little Award for the best marketing paper published in Marketing Science and Management Science.

Ryan Dew is an Assistant Professor of Marketing at the Wharton School of the University of Pennsylvania. He received his B.A. in Mathematics from the University of Pennsylvania, and his M.Phil. and Ph.D. in Marketing from Columbia University. His research explores how machine learning and Bayesian statistical methodologies can solve real world marketing problems, with a particular interest in the domains of customer relationship management, preference dynamics and estimation, and data-driven design. His recent work, Bayesian Nonparametric Customer Base Analysis with Model-based Visualizations, has been published in Marketing Science. His on-going research focuses on understanding and predicting how consumer preferences change over time, through novel hierarchical nonparametric models, and on understanding the underpinnings of effective logo design from a data-driven perspective, utilizing image processing and machine learning techniques. His dissertation, Machine Learning Methods for Data-driven Decisions, was a winner of the ISMS Doctoral Dissertation Proposal Competition, the Marketing Section of the American Statistical Association’s Doctoral Research Award, and was an honorable mention in the Marketing Science Institute’s Alden G. Clayton Doctoral Dissertation Proposal Competition.

Scott A. Neslin is the Albert Wesley Frey Professor of Marketing at the Tuck School of Business, Dartmouth College.  He has been a visiting scholar at the Yale School of Management, the Fuqua School of Business, and Columbia Business School. Professor Neslin’s expertise is in the fields of customer relationship management, measurement of marketing effectiveness, sales promotion, and advertising.  He has published several papers on these topics in leading academic journals.  He is co-author with Robert C. Blattberg and Byung-Do Kim of the book, Database Marketing:  Analyzing and Managing Customers, co-authors with Robert C. Blattberg of the book, Sales Promotion: Concepts, Methods, and Strategies, and author of the Marketing Science Institute monograph, Sales Promotion. Professor Neslin has served as President of the INFORMS Society for Marketing Science (ISMS) and is an ISMS Fellow.

Song Yao is an Associate Professor of Marketing at the Carlson School of Management, University of Minnesota. Professor Yao has won the 2012  Paul Green Best Paper Award and the 2009 John Howard Dissertation Award, both of which are sponsored by the American Marketing Association. He was the finalist for INFORMS Long Term Impact Award in 2017, the Frank Bass Outstanding Dissertation Award in 2011 and 2012, the John Little Best Paper Award in 2009 and 2011. He has also been selected by the Marketing Science Institute (MSI) as one of the MSI Young Scholars of 2017. He serves on the Editorial Boards of the Journal of Marketing Research, Marketing Science, and Quantitative Marketing and Economics. Professor Yao’s research interests include quantitative marketing, online marketing, advertising, pricing, and customer management. His publications appear in leading academic journals, including Management Science, Marketing Science, the Journal of Marketing Research, and Quantitative Marketing and Economics. Professor Yao received his Ph.D. in Business Administration from Duke University, M.A. in Economics from the University of California, Los Angeles, and B.A. in Economics from the Renmin University of China.

Mac OS X Client Configuration:

• Download the Client:

      anyconnect-macosx-4.2.01035-web-deploy-k9.dmg

• Install Cisco Anyconnect

• Find and double-click the Cisco Anyconnect app icon in Finder

• Enter “ckvpn.ckgsb.com” in the address bar, and then click ”Connect”

• Type in your credentials

• Click “OK”