Focus On Authors
Eric T. Anderson (“Digitization and Flexibility: Evidence from the South Korean Movie Market”) is the Polk Brothers Chair in Retailing and former chair of the Marketing Department at Northwestern University’s Kellogg School of Management, and director of the Kellogg–McCormick MBAi Program. He holds a PhD in management science from the MIT Sloan School of Management and previously held appointments at the University of Chicago Booth School of Business and the Simon Graduate School of Business, University of Rochester.
Xingyu Chen (“Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform”) is an associate professor in the College of Management, Shenzhen University. She received her PhD in Industrial Engineering from the Nanyang Technological University in Singapore. She conducts research on online user behaviors and social media strategies, and has published her research in the Journal of Marketing Research, Journal of the Academy of Marketing Science, etc. Before academia, she had worked as head of product management in leading internet companies in Singapore.
Xiaojing Dong (“Estimation of Preference Heterogeneity in Markets with Costly Search”) is an associate professor of marketing and business analytics at Santa Clara University. She studies consumer decision processes and the dynamics using empirical approaches, including statistics, econometrics and Bayesian methods. She has a PhD in engineering and is starting her academic career in data analytics in marketing.
Bas Donkers (“Understanding Large-Scale Dynamic Purchase Behavior”) is a professor of marketing research at the Erasmus School of Economics. In his research, he develops advanced quantitative analyses that have their origins in both econometrics and in machine learning. He applies these methods to create new insights into consumer decision-making, often from a behavioral perspective. He has published his research in the leading journals in the field including Marketing Science and Journal of Marketing Research.
Dennis Fok (“Understanding Large-Scale Dynamic Purchase Behavior”) is professor of econometrics and data science at the Econometric Institute of the Erasmus School of Economics, Erasmus University Rotterdam. His research interests include the development of new econometric methods for marketing questions. He has published in journals in marketing (Marketing Science and Journal of Marketing Research) and in econometrics journals (Journal of Econometrics, Journal of Applied Econometrics, and Journal of Business and Economic Statistics).
Brett R. Gordon (“Digitization and Flexibility: Evidence from the South Korean Movie Market”) is an associate professor of marketing in the Kellogg School of Management at Northwestern University. His research interests include pricing, advertising, promotions, retailing, innovation, and competitive strategy. His work draws on methods from empirical industrial organization, econometrics, and statistics. He earned his PhD in economics from Carnegie Mellon University and previously was the Class of 1967 Associate Professor of Business at Columbia Business School.
Rajdeep Grewal (“Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform”) is the Townsend Family Distinguished Professor of Marketing at the Kenan-Flagler Business School at the University of North Carolina, Chapel Hill, NC. Currently he serves as the marketing area chairperson. He served as the editor-in-chief for the Journal of Marketing Research from 2016–2020 and co-editor from 2014–2016. His research focuses on quantitative modeling of strategic marketing problems and appears in journals such as Journal of Marketing, Journal of Marketing Research, Marketing Science, Management Science, and Quantitative Marketing and Economics.
Shawndra Hill (“Competitive Advertising on Brand Search: Traffic Stealing and Click Quality”) is a part-time senior lecturer in the marketing division at Columbia Business School. She received her PhD and MPhil in information systems from New York University's Stern School of Business, BS in mathematics from Spelman College, and BEE in electrical engineering from Georgia Institute of Technology. She researches value to companies of mining data on how consumers interact with each other on online platforms—for targeted marketing, advertising, health, and fraud detection.
Liwen Hou (“Estimation of Preference Heterogeneity in Markets with Costly Search”) is an associate professor of information technology and innovation at Shanghai Jiaotong University, where he received his PhD. His research interests include business value of IT and online service matching.
Bruno Jacobs (“Understanding Large-Scale Dynamic Purchase Behavior”) is an assistant professor of marketing at the Robert H. Smith School of Business, University of Maryland. His research interests are located at the intersection of marketing, econometrics, and machine learning. In particular, he is interested in developing methodology that can be applied to large-scale consumer data to gain insights that will improve marketing decision making.
Vrinda Kadiyali (“The Impact of Increase in Minimum Wages on Consumer Perceptions of Service: A Transformer Model of Online Restaurant Reviews”) is the Nicholas H. Noyes Professor of Management at the Johnson Graduate School of Management, Cornell University. She is interested in machine learning methods including text, images, and machine learning statistics to analyze questions at the intersection of policy and marketing.
Shijie Lu (“Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform”) is an assistant professor of marketing in the Bauer College of Business, University of Houston. He received a PhD in business administration from the University of Southern California. His research focuses on online advertising, user-generated content, competitive strategy, and piracy and has appeared in Marketing Science, Management Science, Journal of Marketing and the Journal of Consumer Research. He currently serves on the editorial review board of the Journal of Marketing Research.
Nitin Mehta (“Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb”) is a professor of marketing at University of Toronto. He serves as an associate editor at Marketing Science and an associate editor at the International Journal of Research in Marketing. His research focuses on structural modeling of consumer search behavior, consumers’ basket choices, sharing economies, and adoption of artificial intelligence tools.
Ilya Morozov (“Estimation of Preference Heterogeneity in Markets with Costly Search”) is an assistant professor of marketing at the Kellogg School of Management, Northwestern University. In his research, he studies marketing strategy in contexts in which consumers know little about existing products and spend little time learning about available alternatives. His most recent research combines machine learning tools, field experiments, and rigorous economic models to improve personalized product recommendations and optimize the design of online platforms.
Vishal Narayan (“The Impact of Increase in Minimum Wages on Consumer Perceptions of Service: A Transformer Model of Online Restaurant Reviews”) is an associate professor of marketing at the NUS Business School, National University of Singapore. His research is on social influence and social networks, empirical models for social media, and on the shopping behavior of consumers in emerging markets. He has published in leading business journals like Marketing Science and Management Science.
Dinesh Puranam (“The Impact of Increase in Minimum Wages on Consumer Perceptions of Service: A Transformer Model of Online Restaurant Reviews”) is an assistant professor at the Marshall School of Business, University of Southern California. His research focuses on measuring “voice” from unstructured data and understanding its implications for consumers, firms and regulators. The term voice is defined broadly to include all types of discussion captured in unstructured formats—consumer opinions as captured in consumer reviews and blogs, intrafirm discussions, and public communications by firms and regulatory institutions.
Stephan Seiler (“Estimation of Preference Heterogeneity in Markets with Costly Search”) is an associate professor of marketing at Imperial College London. He studies how consumers gather information before making a choice and what we can learn from such prepurchase behavior. Other research areas include the intersection of marketing and health policy, and online word of mouth.
Jiwoong Shin (“Targeted Advertising and Consumer Inference”) is a professor of marketing at Yale School of Management. He holds a PhD in management science from MIT and a MS and BS from Seoul National University. He has been the recipient of the John D. C. Little Best Paper Award for two years in a row and a finalist for the ISMS Long-Term Impact Award in 2020. His papers have appeared in leading journals such as the Journal of Marketing Research, Management Science, Marketing Science, and RAND Journal of Economics. He serves as an associate editor for the Journal of Marketing Research, Marketing Science, and Operations Research.
Alvin J. Silk (“Internalization of Advertising Services: Testing a Theory of the Firm”) is Lincoln Filene Professor Emeritus, Graduate School of Business Administration, Harvard University. He is a recipient of the AMA’s 1982 William O’Dell Award and INFORMS’ Franz Edelman Laureate Awards (1982 and 1983). He is an honorary fellow, European Institute for Advanced Studies in Management, and a distinguished research associate, Marketing Science Institute. His current research interest is the economics of the advertising industry. He received his PhD in marketing from Northwestern University.
Andrey Simonov (“Competitive Advertising on Brand Search: Traffic Stealing and Click Quality”) is an assistant professor in the marketing division at Columbia Business School. Prior to joining Columbia, he earned his PhD in marketing from the University of Chicago Booth School of Business. Andrey’s work is in the areas of quantitative marketing, empirical industrial organization, and political economy, and he focuses on media markets, such as news, advertising, and video games.
Param Vir Singh (“Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb”) is the Carnegie Bosch Professor of Business Technologies and Marketing at Carnegie Mellon University. His recent research focuses on artificial intelligence and the economic implications of algorithmic bias, transparency, and interpretability to businesses and society. He is a senior editor at Information Systems Research and an associate editor at Management Science.
Kannan Srinivasan (“Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb”) is the H. J. Heinz II Professor of Management, Marketing and Business Technologies at Carnegie Mellon University. He has worked on quantifying the economic value of unstructured combining deep learning and econometric methods in a number of settings. Recently, he has been working in areas such as cloud computing, the sharing economy, and algorithm bias in artificial intelligence.
Birger Wernerfelt (“Internalization of Advertising Services: Testing a Theory of the Firm”) is the J. C. Penney Professor at the MIT Sloan School of Management. He has doctoral degrees from Harvard and the Copenhagen Business School (honoris causa) and is a fellow of IAM, ISMS, and WIF. He has held teaching positions and completed research in marketing at MIT Sloan, in economics at the University of Copenhagen, and in strategy at Northwestern University and at the University of Michigan. Most of his research is devoted to foundational questions.
Joonhyuk Yang (“Digitization and Flexibility: Evidence from the South Korean Movie Market”) is a postdoctoral research fellow at Stanford Graduate School of Business. His research interests are primarily in quantitative marketing and empirical industrial organization, where he studies topics related to digital economy, advertising, and media and entertainment markets. He holds a PhD in marketing from the Kellogg School of Management, Northwestern University, where he was advised by Eric Anderson and Brett Gordon.
Dai Yao (“Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform”) is an assistant professor of marketing at National University of Singapore Business School. His research interests include digital economies, such as sharing economies (of goods, knowledge, time, or money), live streaming, and omnichannel marketing.
Jungju Yu (“Targeted Advertising and Consumer Inference”) is an assistant professor of marketing at College of Business, KAIST. He earned his PhD in marketing from Yale School of Management. His primary research interests are in digital marketing and branding. His research has appeared in top journals, such as Marketing Science and RAND Journal of Economics.
Shuyi Yu (“Internalization of Advertising Services: Testing a Theory of the Firm”) is a doctoral student at MIT Sloan School of Management. Her research interests lie in empirical quantitative marketing and the economics of digitization. She received her BA and BS from Peking University and her AM from Harvard University.
Shunyuan Zhang (“Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb”) is an assistant professor in the marketing unit at Harvard Business School. She conducts analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging in the sharing economy.
