Focus on Authors
Alexei Alexandrov (“The Equivalence of Bundling and Advance Sales”) is an economist in the Office of Research at the U.S. Consumer Financial Protection Bureau. He received his Ph.D. in managerial economics and strategy from Northwestern University in 2007 and was an assistant professor at the University of Rochester's Simon School prior to coming to the Consumer Financial Protection Bureau. His research interests are spread across economics, marketing, operations, and law; his research focuses on pricing, strategic interaction between firms, and incorporating consumer behavior into industrial organization literature. His work has been published in journals such as the Journal of Economics and Management Strategy, Manufacturing & Service Operations Management, and Antitrust Law Journal, and he is an award-winning MBA-level economics, marketing, and strategy instructor.
Henry Assael (“Analyzing Moment-to-Moment Data Using a Bayesian Functional Linear Model: Application to TV Show Pilot Testing”) is a professor of marketing at the Stern School of Business, New York University. He received his B.A. from Harvard, MBA from Wharton, and Ph.D. from Columbia. His research is concerned with cross-media effects and developing multimedia choice models with a focus on cross-media synergies. He is author of Consumer Behavior and Marketing Action (six editions) and Marketing: Principles and Strategy (three editions). He serves on the editorial board of the Journal of Advertising Research.
Özlem Bedre-Defolie (“The Equivalence of Bundling and Advance Sales”) is an assistant professor at the ESMT European School of Management and Technology. She received her Ph.D. in economics from the Toulouse School of Economics in 2009 and spent time at the University of Rochester's Simon Business School, École Polytechnique, and Central Bank of Norway prior ESMT. Her research interests are primarily in economics and marketing, and her research focuses on vertical relations in industrial organization, payment cards, and pricing. She published her previous research in the American Economic Journal: Microeconomics and International Journal of Industrial Organization, and she teaches pricing in the ESMT's MBA program and various industrial organization Ph.D. elective courses at both ESMT and Humbolt University as a part of the Berlin Doctoral Program in Economics and Management Science.
Eric T. Bradlow (“Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data”) is the K. P. Chao Professor; professor of marketing, statistics and education; vice dean and director of Wharton Doctoral Programs; and codirector of the Wharton Customer Analytics Initiative at the Wharton School of the University of Pennsylvania. An applied statistician, he uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems.
Doug J. Chung (“Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans”) is an assistant professor of business administration in the Marketing Unit at Harvard Business School. He received his Ph.D. in management from Yale University, where he also received an M.A. and M.Phil in management. His research primarily focuses on sales force management and incentive compensation. He is the recipient of the ISMS Doctoral Dissertation Award, ISBM Doctoral Support Award, and the Mary Kay Doctoral Dissertation Award; he is also a member of the Edward A. Bouchet Graduate Honor Society. Before pursuing a career in academics, he served as an officer and platoon commander in the South Korean Special Forces.
Peter S. Fader (“Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data”) is the Frances and Pei-Yuan Chia Professor of Marketing and codirector of the Wharton Customer Analytics Initiative at the Wharton School of the University of Pennsylvania. His expertise centers on the analysis of behavioral data to understand and forecast customer shopping/purchasing activities. He works with firms from a wide range of industries, such as consumer packaged goods, interactive media, financial services, and pharmaceuticals. Managerial applications focus on topics such as customer relationship management, lifetime value of the customer, and sales forecasting for new products. Much of his research highlights the consistent (but often surprising) behavioral patterns that exist across these industries and other seemingly different domains.
Shyam Gopinath (“Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance”) is an assistant professor of marketing at the David Eccles School of Business, University of Utah. He received his Ph.D. in marketing from Kellogg School of Management, Northwestern University. He has master's degrees in industrial management (Indian Institute of Technology Madras) and statistics (University of Virginia).
Ming-Hui Huang (“The Service Revolution and the Transformation of Marketing Science”) is a distinguished professor of e-commerce at the College of Management at National Taiwan University. She received her Ph.D. from the University of Wisconsin–Madison. She specializes in interdisciplinary research, with publications encompassing both academic and managerial journals in marketing, information systems, and strategy. She has received the academic award by Ministry of Education, Taiwan, as well as the research excellence award by the National Science Council, Taiwan. She has been special issue editor for the Journal of Service Research and Psychology & Marketing, is an associate editor of Information and Management, and serves on the editorial boards of the Journal of Service Research, International Journal of Electronic Commerce, Psychology & Marketing, and Information and Management.
Sam K. Hui (“Analyzing Moment-to-Moment Data Using a Bayesian Functional Linear Model: Application to TV Show Pilot Testing”) is an assistant professor of marketing at the Stern School of Business, New York University. He received his Ph.D. in marketing from the Wharton School of the University of Pennsylvania. His research focuses on developing statistical models with applications to retailing (both online and off-line) and the entertainment industry.
Zainab Jamal (“A Multiactivity Latent Attrition Model for Customer Base Analysis”) is a research scientist at Hewlett-Packard Labs. She holds a Ph.D. in marketing science from the University of California, Los Angeles. Her area of focus is in developing econometric and statistical models to understand and predict customer response behavior; this area feeds into the broader research stream of enabling businesses to optimize their marketing operations through analytical technologies in the backdrop of major paradigm shifts in the landscape such as personalized marketing. She brings deep industry experience to her research expertise, having worked in different roles in brand management and product development after receiving her master's in economics (Delhi School of Economics) and an MBA (Indian Institute of Management, Ahmedabad).
Lakshman Krishnamurthi (“Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance”) is the A. Montgomery Ward Distinguished Professor of Marketing at the Kellogg School of Management of Northwestern University. He has degrees in engineering from the Indian Institute of Technology, Madras, an MBA from Louisiana State University, and an M.S. in statistics and a Ph.D. in marketing from Stanford University. He is the coauthor of Principles of Pricing: An Analytical Approach with Rakesh Vohra, published by the Cambridge University Press (2012).
Tom Meyvis (“Analyzing Moment-to-Moment Data Using a Bayesian Functional Linear Model: Application to TV Show Pilot Testing”) is an associate professor of marketing at the Stern School of Business, New York University. He received his Ph.D. in marketing from the University of Florida and has degrees in sociology and experimental psychology from the Catholic University of Leuven, Belgium. His research examines consumer decision making in the context of branding, pricing, and hedonic consumption experiences (including food, music, and movie experiences). He serves on the editorial review board of the Journal of Consumer Research, Journal of Marketing Research, and Marketing Letters, and he is an associate editor for the Journal of Consumer Psychology.
Young-Hoon Park (“A Multiactivity Latent Attrition Model for Customer Base Analysis”) is the AMOREPACIFIC Professor of Management and associate professor of marketing at the Samuel Curtis Johnson Graduate School of Management, Cornell University. He received his Ph.D. from the University of Pennsylvania. His research emphasizes the development of methods for improving marketing decisions. His research has appeared in leading marketing and statistics journals, such as the Journal of Marketing Research, Management Science, Marketing Letters, Marketing Science, and the Journal of the Royal Statistical Society: Series A.
Roland T. Rust (“The Service Revolution and the Transformation of Marketing Science”) is a distinguished university professor and the David Bruce Smith Chair in Marketing at the Robert H. Smith School of Business at the University of Maryland, where he is founder and executive director of two research centers: the Center for Excellence in Service and the Center for Complexity in Business. He is also visiting chair in marketing research at Erasmus University Rotterdam (the Netherlands) and an International Research Fellow of Oxford University's Center for Corporate Reputation (United Kingdom). He has been honored as a fellow of the INFORMS Society for Marketing Science and the American Statistical Association, and he has received the American Marketing Association (AMA) Irwin/McGraw-Hill Distinguished Marketing Educator Award, the Paul D. Converse Award, AMA's Career Contributions to the Services Discipline Award, AMA's Gilbert A. Churchill Award for Lifetime Achievement in Marketing Research, AMA's Mahajan Award for Career Contribution to Marketing Strategy, two distinguished doctoral alumnus awards from the University of North Carolina at Chapel Hill, and an honorary doctorate from the University of Neuchatel (Switzerland). He has won numerous best article and book awards.
Eric M. Schwartz (“Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data”) is an assistant professor of marketing at the Stephen M. Ross School of Business at the University of Michigan. His expertise focuses on predicting customer behavior, understanding its drivers, and examining how firms actively manage their customer relationships through interactive marketing. His research in customer analytics stretches managerial applications, including online display advertising, email marketing, digital media consumption, and word of mouth. The quantitative methods he uses are primarily Bayesian statistics, machine learning, dynamic programming, and adaptive field experiments.
David A. Schweidel (“A Multiactivity Latent Attrition Model for Customer Base Analysis”) is an associate professor of marketing at Emory University's Goizueta Business School and codirector of the Emory Marketing Analytics Center (EmoryMAC). He received his B.A. in mathematics, M.A. in statistics, and Ph.D. in marketing from the University of Pennsylvania. His research focuses on the development and application of statistical models to understand customer behavior and inform managerial decisions.
Qiaowei Shen (“McDonald's and KFC in China: Competitors or Companions?”) is an assistant professor of marketing at the Wharton School, University of Pennsylvania. She received her Ph.D. in marketing from the Haas School of Business, University of California, Berkeley and her M.A. and B.A. in economics from Peking University. Her research interests include empirical modeling of firm decision making, market entry and exit, emerging markets, and competitive strategy.
Thomas Steenburgh (“Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans”) is the John L. Colley Associate Professor at the Darden School of Business. He holds a master's degree in statistics from the University of Michigan and a Ph.D. in marketing from Yale University. His research analyzes the effectiveness of sales and marketing strategies, addressing issues such as "do lump-sum bonuses motivate salespeople to work harder or to play timing games with their orders?" and "should firms use marketing and sales actions to manage earnings?" His research is often targeted at both academic and practitioner audiences, and he has recently won the Wachovia Award for Research Excellence and the Neil Rackham Research Dissemination Award for the impact of his research on business practice.
K. Sudhir (“Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans”) is the James L. Frank Professor of Marketing, Private Enterprise and Management and director of the China India Insights Program at the Yale School of Management; he also leads the quantitative academic–industry research partnerships at the Yale Center for Customer Insights (YCCI). He received his Ph.D. from Cornell University and was an assistant professor at New York University's Stern School from 1998 to 2001. Although his primary contributions are in the structural empirical industrial organization literature in marketing, his research spans a range of substantive topics and methodological approaches; substantively, he is currently pursuing a research agenda on emerging markets. His papers have received the John D. C. Little Award, the Frank M. Bass Award, and the Don Lehmann Award and have been finalists/honorable mentions for the Paul Green, Dick Wittink, and International Journal of Research in Marketing (IJRM) best paper awards. Two of his papers were nominated to the final 10 for the INFORMS Marketing Society for Marketing Science Long-Term Impact Award from 2009 to 2011.
Jacquelyn S. Thomas (“Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance”) is an associate professor at the Cox School of Business of Southern Methodist University in Dallas, Texas. She received her M.S. and Ph.D. in marketing from the Kellogg School of Management of Northwestern University. She has a B.A. in mathematics from Northwestern University. Along with Robert Blattberg and Gary Getz, she is the coauthor of Customer Equity, Building and Managing Relationships as Valuable Assets, published by Harvard Business School Press.
Ping Xiao (“McDonald's and KFC in China: Competitors or Companions?”) is an assistant professor of marketing at the NUS Business School of the National University of Singapore. She received her Ph.D. in marketing from the Washington University in St. Louis in 2008. Her research interests focus on issues on emerging markets, entry decisions, and social networks.
