Focus On Authors
Greg M. Allenby (“Improving Text Analysis Using Sentence Conjunctions and Punctuation”) is the Helen C. Kurtz Chair of Marketing at the Fisher School of Business, Ohio State University.
Eric T. Bradlow (“A Flexible Demand Model for Complements Using Household Production Theory”) is currently chairperson, Wharton Marketing Department; K.P. Chao Professor of Marketing, Statistics, Economics and Education; and vice dean of analytics at the Wharton School, University of Pennsylvania. He earned his BS in economics from the Wharton School in 1988, his AM in mathematical statistics in 1990 from Harvard University, and his PhD in mathematical statistics in 1994 from Harvard University. His personal interests include his wife Laura, his sons Ethan, Zach, and Ben, and his love of sports and movies.
Joachim Büschken (“Improving Text Analysis Using Sentence Conjunctions and Punctuation”) is a professor of marketing at the Katholische Universität Eichstätt-Ingolstadt (Germany).
Andrew T. Ching (“Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling”) is a professor at the Carey Business School, Johns Hopkins University, where he is cross-appointed to the department of economics. He has served as an associate editor for Management Science, and a member of editorial boards for Marketing Science and the Journal of Marketing Research. His research focuses on developing new empirical structural models and estimation methods to understand the forward-looking, strategic, learning and bounded rational behavior of consumers and firms. He received the Young Economist Award from the European Economic Association in 2003, and the Honorable Mention of Dick Wittink Prize Award in 2011.
Doug J. Chung (“Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market”) is the MBA Class of 1962 associate professor of business administration at Harvard Business School. He received his PhD in management from Yale University. His research focuses on strategic sales management and business-to-business marketing. He has worked with firms worldwide to develop effective sales management practices, and his articles have appeared in various academic journals. Prior to an academic career, he served as a platoon commander in the South Korean military.
Daria Dzyabura (“Visual Listening In: Extracting Brand Image Portrayed on Social Media”) is an associate professor of marketing at the New Economics School Moscow. She received her PhD in marketing from the Massachusetts Institute of Technology. She works at the intersection of machine learning and marketing. She serves as an associate editor for the INFORMS Management Science journal and on the editorial boards of the Journal of Marketing, Marketing Science, and the International Journal of Marketing Research.
Tansev Geylani (“Regulating Deceptive Advertising: False Claims and Skeptical Consumers”) is an associate professor of business administration at the Katz Graduate School of Business, University of Pittsburgh. He holds a PhD from Carnegie Mellon University. His research interests include pricing, distribution channels, information sharing, product line strategies, media competition, and advertising regulation. His previous research has appeared in Marketing Science, Management Science, and the Journal of Marketing Research, among other journals.
Raghuram Iyengar (“A Flexible Demand Model for Complements Using Household Production Theory”) is the Miers-Busch, W'1885 Professor of Marketing at the Wharton School, University of Pennsylvania. He earned an undergraduate degree in engineering from the Indian Institute of Technology Kanpur, India, in 1998 and a PhD in marketing from Columbia University in 2005. He has been at the Wharton School since 2005. Professor Iyengar's research interests are in the area of pricing and social networks. His research has been published in the Journal of Marketing Research, Journal of Consumer Research, and Marketing Science.
Liu Liu (“Visual Listening In: Extracting Brand Image Portrayed on Social Media”) is an assistant professor of marketing at the Leeds School of Business, University of Colorado Boulder. She received her PhD in marketing from New York University's Stern School of Business in 2018. She also holds an MS from Carnegie Mellon University and a BE from Tsinghua University, both in computer science. Professor Liu’s research focuses on the intersection of marketing and machine learning. She is the recipient of the 2018 Dissertation Award from the Statistics in Marketing Section of the American Statistical Association and a finalist for the 2018 John A. Howard/AMA Doctoral Dissertation Award.
Natalie Mizik (“Visual Listening In: Extracting Brand Image Portrayed on Social Media”) is a professor of marketing and the J. Gary Shansby Endowed Chair in marketing strategy at the Foster School of Business, University of Washington. She has published research in top academic marketing, management, and accounting journals in a broad set of substantive areas, including branding, strategy, managerial myopia, customer satisfaction, and direct-to-physician pharmaceutical marketing. An award-winning teacher and researcher, Professor Mizik has previously served on the faculty of the Columbia Business School and the University of North Carolina, and she was a visiting faculty member at the Massachusetts Institute of Technology. She has served on the American Marketing Association Academic Council and as an officer of the ISMS, INFORMS Society for Marketing Science.
Matthew Osborne (“Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling”) is an assistant professor of marketing at the University of Toronto and received his PhD in economics from Stanford University. He has conducted research on consumer behavioral biases, and structural modeling of consumer and firm strategic behavior, with a focus on incorporating the insights from behavioral economics into structural models.
Ye Qiu (“Increasing Retailer Loyalty Through the Use of Cash Back Rebate Sites”) is assistant professor of marketing at Tongji University in the Advanced Institute of Business. She received her PhD in marketing from the University of Texas at Dallas, MBA from Rensselaer Polytechnic Institute, and BEcon from Nanjing University. She is interested in digital marketing strategies with emphasis on online pricing and advertising, platform design and consumer search. She analyzes online strategies using game-theoretic models and studies them empirically using Bayesian methods.
Ram C. Rao (“Increasing Retailer Loyalty Through the Use of Cash Back Rebate Sites”) is Founders Professor at the University of Texas Dallas, Jindal School of Management. His past work has laid a game-theoretic foundation to study retail strategies: everyday prices, double coupons, promotions and loyalty programs; new work is on digital banner ads, platform design, cash-back sites, preannouncements and the Osborne Effect. He founded Review of MarketingScience, is on the editorial board of the Journalof Marketing Research, and advises Quantitative Marketing and Economics and Marketing Research Network on SSRN.
David A. Schweidel (“Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model”) is a professor of marketing at Goizueta Business School, Emory University. His current research focuses on the use of social media data as a means of deriving marketing insights.
Ludovic Stourm (“A Flexible Demand Model for Complements Using Household Production Theory”) is an assistant professor of marketing at HEC Paris. He received his PhD from the Wharton School, University of Pennsylvania, an AM degree in statistics from Harvard University, and an Ingénieur degree from the University of Technology of Compiègne.
Michael Thomas (“Spillovers from Mass Advertising: An Identification Strategy”) is an assistant professor of marketing at Santa Clara University. He completed his PhD at the University of Chicago in 2017 in quantitative marketing and also holds an MBA from the University of Chicago, an MSc in economics from the London School of Economics, and a BS in chemical/biochemical engineering from the University of California, Davis.
Yue Wu (“Regulating Deceptive Advertising: False Claims and Skeptical Consumers”) is assistant professor of business administration at the Katz Graduate School of Business, University of Pittsburgh. He holds a PhD from INSEAD. His research interests include regulations, deceptive practices, online platforms, digital marketing, information asymmetry, and competitive strategy. His previous research has appeared in the Journal of Marketing Research, Management Science, and Manufacturing & Service Operations Management, among other journals.
Lingling Zhang (“Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market”) is an assistant professor of marketing at the Robert H. Smith School of Business, University of Maryland at College Park. She received her doctorate in marketing from Harvard Business School. Her research focuses on empirical modeling of consumer choices and firm strategies for online platforms.
Ning Zhong (“Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model”) is an assistant professor of marketing at the Smeal College of Business, Pennsylvania State University. His research focuses on the development and application of machine learning methods to understand the dynamics present in textual data.
