Focus on Authors
Karl Akbari (“Erratum on the Pay-as-You-Wish Model by Chen et al. (2017)”) is an assistant professor in the School of Management at National Taiwan University of Science and Technology. He obtained his PhD at the University of Vienna. His current research interest is in pricing with a particular focus on participative pricing and probabilistic promotions.
Bryan Bollinger (“Visibility and Peer Influence in Durable Good Adoption”) is an associate professor at NYU Stern School of Business. His research portfolio aims to understand the causal effects of policy makers’ decisions in sustainability domains and the interdependent reactions by consumers and firms. His research has appeared in leading journals in the fields of marketing, economics, and science and highlighted in news outlets such as The Economist and the New York Times. He received his PhD in marketing from Stanford University.
Calogero Brancatelli (“Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data”) is a research affiliate at the Chair of Roman Inderst at Goethe University Frankfurt and Graduate Programme Participant at the European Central Bank (ECB).
Tat Y. Chan (“Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption”) is a professor of marketing at the Olin Business School, Washington University in St. Louis. His research interest focuses on using statistics and econometric methods to study individual consumption choices and peer interactions in various markets and employee behaviors within organizations. He has had a wide range of research collaborations with companies across industries and countries. His research has been published in top marketing and economic journals.
Yuxin Chen (“Rejoinder on ‘Erratum on the Pay-as-You-Wish Model by Chen et al. (2017)’”) holds a PhD in marketing from Washington University in St. Louis. He is currently a Distinguished Global Professor of Business and the Dean of Business at NYU Shanghai, with an affiliation with NYU Stern Marketing Department.
Daniel Dan (“Frontiers: Supporting Content Marketing with Natural Language Generation”) holds the position of assistant professor in the School of Data Science, Modul University Vienna. He has a university degree in computer science and earned his PhD in managerial and actuarial science. He is particularly focused on text mining methods and sentiment analysis of large text corpora as well as on various statistical modeling techniques involving machine learning and deep learning algorithms applied to marketing.
Anthony Dukes (“Skippable Ads: Interactive Advertising on Digital Media Platforms”) is a professor of marketing at the University of Southern California. He holds a PhD degree in economics from the University of Pittsburgh. His research areas include pricing strategies, e-commerce, and commercial content platforms. He is an associate editor at the Journal of Marketing Research, Management Science, and Marketing Science.
Adrian Fritzsche (“Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data”) is a research affiliate at the Chair of Roman Inderst at Goethe University Frankfurt and cofounder of Digital Finance Argonauts. He holds a PhD degree in economics from Goethe University Frankfurt. Previously, he studied at London School of Economics and Frankfurt School of Finance and Management in Frankfurt.
Soheil Ghili (“Network Formation and Bargaining in Vertical Markets: The Case of Narrow Networks in Health Insurance”) is an assistant professor of marketing at Yale University. He has a PhD in managerial economics and strategy from Northwestern University. His research focuses on pricing of complex products (such as optimal bundling or optimal nonlinear price schedules) as well as pricing in complex environments (such as spatial markets or bargaining over prices on a network of firms).
Kenneth Gillingham (“Visibility and Peer Influence in Durable Good Adoption”) is an associate professor at Yale University, with a primary appointment in the School of the Environment and secondary appointments in the Department of Economics and School of Management. He is an associate editor at the Review of Economics and Statistics and served as the Senior Economist for Energy and the management science and engineering and economics from Stanford University.
Tong Guo (“Reaching for Gold: Frequent-Flyer Status Incentives and Moral Hazard”) is an assistant professor of marketing at Duke University’s Fuqua School of Business and at the Department of Economics (by courtesy). Her research focuses on understanding the causal impact of marketing activities in healthcare and consumer protection, with tools from empirical IO, machine learning, and online experiments. She studies the heterogeneous effects in healthcare marketing and information disclosure, misinformation in ads, CRM and airline loyalty programs.
Andreas Hagemann (“Reaching for Gold: Frequent-Flyer Status Incentives and Moral Hazard”) is an econometrician. He works on bootstrap and permutation methods, quantile regression, and inference in the presence of clustered data. He is an assistant professor of business economics and public policy at the University of Michigan and previously taught at the University of Notre Dame.
Bita Hajihashemi (“The Perils of Personalized Pricing with Network Effects”) is a doctoral candidate at the Foster School. She completed her bachelor’s at Sharif University in 2016 and joined the PhD program at Foster in 2017. She loves working on open-ended business questions and enjoys analytical modeling and empirical research. She is interested in learning and applying different techniques, such as game theory, AI, and behavioral methods to answer marketing questions in domains, such as personalization, customer retention, and relationship marketing.
Roman Inderst (“Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data”) is a professor of economics and finance at Goethe University Frankfurt. Before returning to Germany, he was a full professor of economics and full professor of accounting and finance at the London School of Economics.
A. Justin Kirkpatrick (“Visibility and Peer Influence in Durable Good Adoption”) is an assistant professor at Michigan State University in the Department of Economics. He received his PhD and MEM from Duke University. His research studies the drivers of the grid transition from fossil fuels to renewables at both the household level, examining adoption of solar and home battery storage, as well as at the grid scale, examining the effects of large energy storage arrays and renewables.
Oded Koenigsberg (“Rejoinder on ‘Erratum on the Pay-as-You-Wish Model by Chen et al. (2017)’”) holds a PhD from Duke University in Business (Operations). He is currently a professor of marketing and the Deputy Dean at London Business School.
Tesary Lin (“Frontiers: The Identity Fragmentation Bias”) is an assistant professor of marketing at Boston University Questrom School of Business. Her research focuses on how information and data moderate the relationship between firms and consumers. Specific topics include consumer privacy preferences, the impact of privacy policies, and analytics tools that adapt to the modern information environment.
Qihong Liu (“Skippable Ads: Interactive Advertising on Digital Media Platforms”) is a professor of economics at University of Oklahoma. He received a BS degree in management from Anhui University of Technology and Science and a PhD degree in economics from SUNY Stony Brook. His main research areas include platforms and two-sided markets, advertising, pricing, competitive strategies, and airlines. His research has appeared in journals such as Review of Economics and Statistics, Marketing Science, Strategic Management Journal, European Economic Review, and Journal of Economics and Management Strategy. He is an associate editor at Information Economics and Policy and serves on the editorial board at Journal of Media Economics.
Xueming Luo (“Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption”) is the Charles Gilliland Distinguished Chair Professor of Marketing, a professor of strategy and management information systems, and the founder/director of the Global Institute for Artificial Intelligence and Business Analytics at the Fox School of Business at Temple University. His research focuses on integrating artificial intelligence, 5G/augmented reality/virtual reality business applications, big data machine learning, and field experiments to model, explain, and optimize customer behaviors, company strategies, and platform economy.
Dina Mayzlin (“Influencing Social Media Influencers Through Affiliation”) is a professor of marketing and associate dean of PhD programs at the Marshall School of Business at the University of Southern California. Her research deals with firms’ management of social interactions between consumers. She has served as an associate editor at the Journal of Marketing Research and Marketing Science. She was thrilled to learn about the influencer markets and beauty products from her coauthor, Amy Pei.
Sanjog Misra (“Frontiers: The Identity Fragmentation Bias”) is the Charles H. Kellstadt Professor of Marketing at the University of Chicago Booth School of Business. His current research focuses on the intersection of experimentation, causal inference, machine learning, and econometric methods applied to substantive marketing problems. He is also interested in the development of scalable statistical and econometric approaches and the implementation of such algorithms in real-world decision environments.
A. Yeşim Orhun (“Reaching for Gold: Frequent-Flyer Status Incentives and Moral Hazard”) is an associate professor of marketing and Michael R. and Mary Kay Hallman Fellow at the Stephen M. Ross School of Business, University of Michigan. She is also an associate professor of information at the School of Information, by courtesy. She is a quantitative marketing scholar who works in the fields of industrial organization, information economics and behavioral economics. She received her PhD in marketing from the University of California, Berkeley.
Thomas Otter (“Measuring Income and Wealth Effects on Private-Label Demand with Matched Administrative Data”) is a professor of marketing at Goethe University Frankfurt. He currently serves as coordinating coeditor for Quantitative Marketing and Economics.
Joseph Pancras (“Social and Spatiotemporal Impacts of Casino Jackpot Events”) is associate professor of marketing at the University of Connecticut School of Business. His research focuses on problems in targeted marketing and spatial competition among firms and distribution channel agents in digital, offline, and hybrid contexts. He won the 2008 Donald Lehmann award for best dissertation-based paper in the Journal of Marketing Research and the 2010 William Davidson award for best paper in the Journal of Retailing.
Hee Mok Park (“Social and Spatiotemporal Impacts of Casino Jackpot Events”) is assistant professor of marketing and F. Ross Johnson fellow at the Asper School of Business, University of Manitoba. He received his MA in applied statistics from Yonsei University, Korea, and PhD in marketing from the University of Michigan. His work focuses on marketing and strategy problems in the entertainment and digital media industries, applying statistics and econometrics toward causal inference in business and policy settings.
Amy Pei (“Influencing Social Media Influencers Through Affiliation”) is an assistant professor of marketing at the D'Amore-McKim School of Business at Northeastern University. Her research focuses on influencer marketing. She received her PhD in marketing from the University of Southern California and her master's degree in economics from the University of Toronto.
Martin Reisenbichler (“Frontiers: Supporting Content Marketing with Natural Language Generation”) is currently employed as a research and teaching associate (PhD) at the Vienna University of Economics and Business (WU Vienna) with a strong focus on quantitative marketing. His research focuses on statistical and machine learning methods for practical applications in marketing. He worked professionally for several years as marketing team lead, and in research and development for state-of-the-art machine learning-related IT systems.
Thomas Reutterer (“Frontiers: Supporting Content Marketing with Natural Language Generation”) is professor of marketing at the Vienna University of Economics and Business (WU Vienna). His research focuses on analyzing, modeling, and forecasting customer behavior in data-rich environments. In his research projects, he employs statistical or advanced machine learning methods to provide decision support for various business applications. His recent research is in the area of customer value and relationship management as well as customer-base analysis.
Amin Sayedi (“The Perils of Personalized Pricing with Network Effects”) is an associate professor of marketing at the Foster School of Business, University of Washington. His research interests lie in the intersection of marketing and technology with a focus on online advertising and mechanism design. He has worked for Microsoft Research, Yahoo Research, and Amazon in the past and is the co-inventor of two patents on online advertising. Amin serves as an associate editor at Quantitative Marketing and Economics, and on the editorial review boards of Marketing Science and Journal of Marketing Research.
David A. Schweidel (“Frontiers: Supporting Content Marketing with Natural Language Generation”) is the Rebecca Cheney McGreevy Endowed Chair and professor of marketing at Emory University’s Goizueta Business School. He is an expert in the areas of customer relationship management and social media analytics. His research focuses on the development and application of statistical models to understand customer behavior and inform managerial decisions. His recent research investigates consumer responses to marketing content aspects such as textual, visual, and audio elements.
Jie Shuai (“Skippable Ads: Interactive Advertising on Digital Media Platforms”) is a professor of economics at Zhongnan University of Economics and Law. He received a BS degree in economics from Xi’an Jiaotong University and a PhD degree from University of Oklahoma. His main research areas include pricing strategy, advertising, and information disclosure. His research has appeared in journals such as Journal Industrial Economics and International Journal of Industrial Organization. He is a member of council at the China Information Economics Society.
Jeffrey D. Shulman (“The Perils of Personalized Pricing with Network Effects”) is proud father to Audrey and Olivia, husband to Stephanie, brother to Darren, and son to Gary and Carol Shulman. As The Product Management Center’s founding director at the University of Washington, he is developing a more diverse, inclusive, and skilled PM community. In addition to publishing research applying game theory in marketing, Shulman produced On the Brink, a film available on PBS.org. Shulman is an associate editor at Marketing Science, Management Science, and Quantitative Marketing and Economics; and senior editor at POM Journal.
Steven Sexton (“Visibility and Peer Influence in Durable Good Adoption”) is an assistant professor of public policy and economics at Duke University and faculty fellow of the Duke University Energy Initiative. He is associate editor of the Journal of Environmental Economics and Management. He received his PhD in agricultural and resource economics from UC Berkeley.
Udo Wagner (“Erratum on the Pay-as-You-Wish Model by Chen et al. (2017)”) is professor emeritus at the University of Vienna and currently a professor at Modul University Vienna, Austria. His main areas of research are marketing research, consumer behavior, marketing models, retailing, and pricing. His papers have appeared in academic journals, including the Journal of Marketing Research, Marketing Science, and the International Journal of Research in Marketing.
Xiaoyi Wang (“Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption”) is a professor of marketing at the School of Management, Zhejiang University. His research interest focuses on using neuroscience, field experiments, and machine learning methods to study consumer/user behavior in digital interaction scenarios. He has worked with leading digital platform companies. His research has been published in top marketing and information systems journals.
Shuo Zhang (“Time-Inconsistent Preferences and Strategic Self-Control in Digital Content Consumption”) is an assistant professor of marketing at Shanghai Jiao Tong University. He received his PhD in economics at Washington University in St. Louis. His main research focus is to apply quantitative methods to study consumer decision and company marketing strategies in empirical settings.
Z. John Zhang (“Rejoinder on ‘Erratum on the Pay-as-You-Wish Model by Chen et al. (2017)’”) holds a PhD from the University of Pennsylvania in history and sociology of science and a PhD from the University of Michigan in economics. He is currently a professor of marketing at The Wharton School, Tsai-Wan Tsai Professor, and the director of Penn Wharton China Center.
