Focus On Authors

Dae-Yong Ahn (“Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach”) is an assistant professor at the College of Business and Economics, Chung-Ang University. He received his Ph.D. in marketing from the University of Texas at Austin. Before joining Chung-Ahn University, he was an assistant professor at University of Technology Sydney.

Greg M. Allenby (“Price Promotions in Choice Models”) holds the Helen C. Kurtz Chair in Marketing at the Fisher School of Business, Ohio State University. His research focuses on the development and application of statistical methods in marketing. He is a Fellow of the American Statistical Association and the INFORMS Society of Marketing Science, and is a co-author of the textbook Bayesian Statistics and Marketing. He received the 2012 AMA Parlin Award for his contribution to the field of marketing research.

Wilfred Amaldoss (“Keyword Management Costs and “Broad Match” in Sponsored Search Advertising”) is a professor of marketing at the Fuqua School of Business of Duke University. He holds an MBA from the Indian Institute of Management (Ahmedabad), and an M.A. (applied economics) and a Ph.D. from the Wharton School of the University of Pennsylvania. His research interests include behavioral game theory, experimental economics, advertising, pricing, new product development, and social effects in consumption. His work has received the John D. C. Little award and the Frank Bass award. His research has been published in Marketing Science, Management Science, Journal of Marketing Research, Journal of Economic Behavior and Organization, and Journal of Mathematical Psychology; he is an associate editor of Journal of Marketing Research and Management Science, and serves on the editorial board of Marketing Science.

Michelle Andrews (“Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness”) is a Ph.D. candidate in marketing at Temple University. Her research focuses on mobile marketing, field experiments, and new technologies. Starting in the Fall of 2015, she will join Goizueta Business School at Emory University as assistant professor of marketing.

Pradeep K. Chintagunta (“Satisfaction Spillovers Across Categories”) is the Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing at the Booth School of Business, University of Chicago. He graduated from Northwestern University and has also served on the faculty of the Johnson School, Cornell University. He is interested in empirically studying consumer, agent, and firm behavior.

Chrysanthos Dellarocas (“Credit Scoring with Social Network Data”) is a professor of information systems at Boston University’s Questrom School of Business. He holds Ph.D. and M.S. degrees in computer science from MIT. Prior to Boston University he taught at MIT’s Sloan School of Management and at the University of Maryland’s R. H. Smith School of Business. He is a highly cited scholar in the fields of online reputation and social media; other interests include collective intelligence, digital learning, and the economics of media industries. He is a recipient of numerous teaching, funding, and merit awards, including the National Science Foundation’s CAREER award and awards from Google and Microsoft; he holds nine patents and is co-founder and advisor of a number of companies in the technology space.

Xiaojing Dong (“Satisfaction Spillovers Across Categories”) is an associate professor of marketing at the Leavey School of Business, Santa Clara University. She got her Ph.D. from Northwestern University, and M.S. from MIT. Her research area applies hierarchical Bayesian modeling to empirically study customer decision process, and how those decisions are influenced by firm behaviors.

Jason A. Duan (“Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach”) is an assistant professor of marketing at the McCombs School of Business, the University of Texas at Austin. He received his Ph.D. in statistics from Duke University. Before joining the University of Texas, he was a postdoctoral associate at the School of Management, Yale University. His research articles have appeared in academic journals including Biometrika, Journal of Marketing Research, Management Science, and Marketing Science.

Zheng Fang (“Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness”) is associate professor of marketing at Sichuan University. He specializes in mobile technologies, field experiments, and new technologies.

Anindya Ghose (“Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness”) is a professor of information, operations and management sciences and professor of marketing, and the co-Director of the Center for Business Analytics at NYU Stern School of Business. He received his Ph.D. from Carnegie Mellon University. He is an expert in analyzing how data generated by technological advances such as the Internet and mobile phones can influence marketing and advertising decisions, and his recent research interests include social media, mobile marketing, crowdfunding, Internet marketing, and digital advertising. He has received 12 best paper awards and nominations at premier conferences and journals, and is a 2011 MSI Young Scholar; he is a winner of the NSF CAREER award and has been awarded 14 grants from Google, Microsoft, and several other corporations. He was named by BusinessWeek as one of the “Top 40 Professors Under 40 Worldwide” and by AnalyticsWeek as one the “Top 200 Thought Leaders in Big Data and Business Analytics”.

John R. Howell (“Price Promotions in Choice Models”) is an assistant professor of marketing at the Pennsylvania State University Smeal College of Business. He received a B.S. and M.S. degree in statistics from Brigham Young University and a Ph.D. in marketing from the Ohio State University.

Kinshuk Jerath (“Keyword Management Costs and “Broad Match” in Sponsored Search Advertising”) is an associate professor of Marketing at Columbia Business School. He received a B.Tech. degree in computer science and engineering from the Indian Institute of Technology (Bombay) and a Ph.D. degree in marketing from the Wharton School of the University of Pennsylvania. His research interests are two-fold: theoretical models that help to obtain deeper understanding of marketing phenomena, especially phenomena related to retailing and online advertising, and applied statistical models for data-based analysis to inform marketing strategy. Prior to being at Columbia, he was on the faculty of the Tepper School of Business at Carnegie Mellon University. His research has appeared in top-tier marketing journals, such as Marketing Science, Management Science, Journal of Marketing Research, and Journal of Interactive Marketing.

Sanghak Lee (“Price Promotions in Choice Models”) is an assistant professor of marketing at the University of Iowa. He received a B.S. in chemical engineering from Seoul National University, an M.S. in management engineering from KAIST (Korean Advanced Institute of Science and Technology), and a Ph.D. in marketing from the Ohio State University. His research focuses on the development and estimation of empirical models for consumer behavior.

Xueming Luo (“Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness”) is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy and MIS, and Founder/Director of the Global Center for big data in mobile analytics in the Fox School of Business at Temple University. His current research focuses on mobile consumer behavior, big data marketing strategies, customer analytics with machine learning and networks, social targeting ads, and the financial value of marketing metrics. He is one of the most prolific and influential leaders in the marketing-finance interface. He is an associate editor for the Journal of Marketing Research, as well as an editorial review board member for Marketing Science, Journal of Marketing Research, Journal of Marketing, and Journal of the Academy of Marketing Science.

Carl F. Mela (“Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach”) is the T. Austin Finch Foundation Professor of Business Administration at Duke University. He received his Ph.D. in marketing from Columbia University. He has published more than 40 research articles in academic journals including Harvard Business Review, Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research, and Marketing Science. He has received or been a finalist for 30 best paper awards from these journals and other associations. He is an associate editor of Journal of Marketing Research and Quantitative Marketing and Economics.

Elisa Montaguti (“Can Marketing Campaigns Induce Multichannel Buying and More Profitable Customers? A Field Experiment”) is an associate professor of marketing at the University of Bologna. Formerly at Warwick Business School and Insead, she received her Ph.D. in Marketing from the London Business School. Her current research focuses on channel choice models, multi-channel customer profitability, social influence, and entry strategies for new products. Her research has appeared in various marketing journals including Journal of Marketing, International Journal of Research in Marketing, and Marketing Letters.

Scott A. Neslin (“Can Marketing Campaigns Induce Multichannel Buying and More Profitable Customers? A Field Experiment”) is the Albert Wesley Frey Professor of Marketing at the Tuck School of Business, Dartmouth College. His Ph.D. in management is from the Sloan School of Management, MIT. His research focus is on the measurement and analysis of marketing productivity, especially in the fields of customer relationship management, sales promotion, and advertising. He has published on these topics in journals such as Marketing Science, Journal of Marketing Research, Management Science, Journal of Marketing, and Journal of Interactive Marketing. He is a co-author with Robert C. Blattberg and Byung-Do Kim of Database Marketing: Analyzing and Managing Customers. He is a Fellow of the INFORMS Society for Marketing Science.

Amin Sayedi (“Keyword Management Costs and “Broad Match” in Sponsored Search Advertising”) is an assistant professor of marketing at the Foster School of Business, University of Washington. He received his Ph.D. from the Tepper School of Business at Carnegie Mellon University. His research interests lie in the intersection of marketing and technology. He is currently working on problems relating to online advertising and social media marketing. He has worked for Microsoft Research and Yahoo Research in the past and is the co-inventor of two patents on online advertising.

Maxim Sinitsyn (“Managing Price Promotions Within a Product Line”) is a lecturer of economics at the University of California, San Diego. He received a Ph.D. in economics from Northwestern University. His current research focuses on advancing our understanding of the mechanisms behind price promotions.

Sara Valentini (“Can Marketing Campaigns Induce Multichannel Buying and More Profitable Customers? A Field Experiment”) is an associate professor of marketing at the University of Bologna. She holds a degree (Laurea) cum laude in statistics and a Ph.D. in marketing, University of Bologna. She was a visiting scholar at the Tuck school of Business, Dartmouth College. Her research interests focus on channel migration models, multichannel marketing, customer profitability, and satisfaction with complaint handling. Her research has appeared in Journal of Marketing, Journal of the Academy of Marketing Science, and Psychology & Marketing.

Christophe Van den Bulte (“Credit Scoring with Social Network Data”) is Gayfryd Steinberg Professor and professor of marketing at the Wharton School of the University of Pennsylvania. His research focuses on social networks and new product diffusion, and has appeared in journals ranging from the American Journal of Sociology to Harvard Business Review. He is an associate editor for Marketing Science and the Journal of Marketing Research, and serves on the editorial boards of the Journal of Marketing and the Journal of Business-to-Business Marketing.

Yanhao Wei (“Credit Scoring with Social Network Data”) is a Ph.D. candidate in economics at the University of Pennsylvania. He received his undergraduate degree in economics and management from Bocconi University. His research focuses on how network structure arises in and affects markets. More broadly, he is interested in topics and questions that closely pertain to empirical industrial organization and quantitative marketing.

Pinar Yildirim (“Credit Scoring with Social Network Data”) is an assistant professor of marketing at the Wharton School of the University of Pennsylvania and Senior Fellow at the Leonard Davis Institute. Her research interests are media and information economics. She focuses on analytical modeling and in particular is interested in game theoretic models. She teaches marketing research at the Wharton School and is a frequent contributor for Knowledge@Wharton, Wharton Business Radio, and Google Think Insights. Her research appeared in top management and marketing journals including Journal of Marketing Research, Management Science, and Journal of Marketing, and has received numerous grants and honors.