Focus on Authors
J. Jason Bell (“Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests”) is an associate professor of marketing at Saïd Business School, University of Oxford. Jason researches new product development, product choice, and brand perception. He uses Bayesian econometrics to model consumer demand and competitive equilibria. In addition, he has a growing interest in natural language processing with applications in computational creativity, automated idea evaluation, and market opportunity discovery.
Xinyu Cao (“The Power of Commitment in Group Search”) is associate professor of marketing at the Chinese University of Hong Kong (starting from August 2023). Prior to that, she has been assistant professor of marketing at New York University. She received her PhD in management from the Massachusetts Institute of Technology. Her research works have appeared in Marketing Science, M&SOM, and Marketing Letters. She has won the John D.C. Little Award and also been a finalist for the Frank Bass Award. She is an editorial board member for Marketing Science.
Nan Chen (“History and Country-of-Origin Effects”) is an adjunct lecturer at the department of economics, National University of Singapore. He received his PhD from the University of California, Berkeley. His research interests are quantitative marketing, digital platforms, industrial organization, and the Chinese market.
Qi Cheng (“Commentary on ‘Dynamic Incentives in Sales Force Compensation’”) is a PhD candidate in the Department of Management Sciences at the College of Business, City University of Hong Kong. She received her BS from the University of Science and Technology of China. Her research interests include revenue management and risk management. Her research has appeared in Marketing Science.
Pradeep K. Chintagunta (“Frontiers: Inequalities in Dealers’ Interest Rate Markups? A Gender- and Race-Based Analysis”) is the Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing in the Booth School of Business at the University of Chicago. He is interested in topics around marketing and economic development, public policy, small business, and entrepreneurship, and in substantive topics such as advertising, pricing, and channels of distribution.
Michel Clement (“Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube”; “Rejoinder on ‘Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube’”) is professor of marketing and media at the Institute for Marketing, University of Hamburg, Germany. He holds a PhD in marketing from the Christian-Albrechts-University at Kiel. He worked three years in various management positions for Bertelsmann in the media industry.
Anna D’Annunzio (“Intermediaries in the Online Advertising Market”) is an associate professor at Toulouse Business School. She holds a PhD in economics from the Toulouse School of Economics. Her research focuses on industrial organization and public economics, with main applications to digital and health markets. Her research is published in international journals as RAND Journal of Economics, Management Science, and the International Journal of Industrial Organization.
Robert Donnelly (“Welfare Effects of Personalized Rankings”) is a machine learning scientist at Arena AI. Prior to this role, he worked as a senior economist at Instacart and as an economic research scientist at Facebook. He holds a PhD in economics from Stanford Graduate School of Business.
Johann Füller (“Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests”) holds the Chair for Innovation and Entrepreneurship at Innsbruck University. Previously, Johann was a fellow at the NASA Research Lab at Harvard University and a research affiliate at MIT Sloan. His research interests are in AI, open innovation, crowdsourcing, corporate entrepreneurship, and digitalization. Johann published in, ISR, Marketing Science, Research Policy. As CEO of Hyve AG, Johann empowers international corporations to innovate.
Zheyin (Jane) Gu (“Making Inclusive Product Design a Reality: How Company Culture and Research Bias Impact Investment”) is associate professor of marketing at University of Connecticut, School of Business. She obtained a PhD in marketing from New York University, Stern School of Business. Her areas of expertise include digital marketing and analytics, online retailing, social media, behavioral economics, and competitive marketing strategies. She has published in Journal of Marketing Research, Management Science, Marketing Science, Information Systems Research, and Management Information Systems Quarterly.
Cheng He (“Frontiers: Inequalities in Dealers’ Interest Rate Markups? A Gender- and Race-Based Analysis”) is an assistant professor of marketing at the University of Wisconsin-Madison. His research uses econometric methodology and machine learning technics to study topics such as sustainability, social disparities, brick-and-mortar retailing, and Fintech.
Yogesh V. Joshi (“Endogenous Consumption and Metered Paywalls”) is an associate professor at the University of Maryland, College Park. He works in the areas of competitive marketing strategies, innovation, and product and brand management. His research is published in leading business journals, such as Marketing Science, Management Science, Journal of Marketing, and Journal of Marketing Research.
Ayush Kanodia (“Welfare Effects of Personalized Rankings”) is a third-year PhD student in Computer Science at Stanford. His focus areas are machine learning applied to economic structural modeling and causal inference, recommendation systems, and experiment design. He completed his undergraduate degree in Computer Science at IIT Bombay, India. He worked as a software engineer at Google and a researcher at IIM Calcutta India before starting his PhD.
Yael Karlinsky-Shichor (“Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach”) is an assistant professor of marketing at D’Amore McKim School of Business at Northeastern University. Her research focuses on artificial intelligence, decision making and online consumer identities. Her research was nominated and/or won the ISBM Doctoral Award, the ISMS/MSI/EMAC Gary Lilien Marketing Science Practice Prize, the Vithala R. and Saroj V. Rao ISMS Doctoral Dissertation Award, and a Northeastern University interdisciplinary research seed grant.
Xiangyin Kong (“Commentary on ‘Dynamic Incentives in Sales Force Compensation’”) is an assistant professor in the International Institute of Finance at the School of Management, University of Science and Technology of China. He received his PhD in management science from City University of Hong Kong and Xi’an Jiaotong University. His research interests include contract theory, supply chain management, and the interface of operations and marketing. His research has appeared in Operations Research and Marketing Science.
Bowen Luo (“Manufacturer–Retailer Relationships and the Distribution of New Products”) is an assistant professor of marketing at Bauer College of Business, University of Houston. She holds a PhD in business administration from University of Rochester, a masters in economics (with distinction) from Tilburg University, and a BS in mathematics (first class honors) from the University of Hong Kong. Her PhD dissertation has won the Academy of Marketing Science Mary Kay Dissertation Proposal Award and the Institute for the Study of Business Markets Doctoral Dissertation Award.
Samir Mamadehussene (“Rebates Offered by a Multi-Product Firm”) obtained a PhD in economics from Northwestern University in 2016. After his graduate studies, Samir joined Catolica-Lisbon School of Business and Economics as an assistant professor. In 2021, he joined the marketing department at the Naveen Jindal School of Management at UT Dallas, where he is currently an assistant professor. His research interests broadly cover the areas of quantitative marketing and industrial organization, with specific focus on pricing, advertising, promotions, and the design of search environments.
Ilya Morozov (“Welfare Effects of Personalized Rankings”) is an assistant professor of marketing at the Kellogg School of Management, Northwestern University. He holds a PhD in quantitative marketing from Stanford Graduate School of Business and an MSc in economics and finance from the Center for Monetary and Financial Studies (CEMFI) in Madrid.
Oded Netzer (“Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach”) is the Arthur J. Samberg Professor of Business at Columbia Business School. His expertise is developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms’ decisions. He has published numerous papers in the leading scholarly journals. His research won multiple awards, including the ISMS Long-Term Contribution Award, the John Little Best Paper Award, and the Frank Bass Outstanding Dissertation Award.
O. Cem Ozturk (“Frontiers: Inequalities in Dealers’ Interest Rate Markups? A Gender- and Race-Based Analysis”) is an associate professor of marketing and a Moore Research Fellow at Darla Moore School of Business, University of South Carolina. His research uses empirical quantitative marketing approaches to examine topics such as environmental sustainability, diversity, equity and inclusion, marketing and public policy, marketing channels, competitive strategy, digital marketing, and international marketing. He was recognized as one of the “Best 40 Under 40 MBA Professors” by Poets & Quants.
Dominik Papies (“Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube”; “Rejoinder on ‘Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube’”) is a professor of marketing at the School of Business and Economics and member of the Machine Learning Cluster of Excellence at the University of Tübingen in Germany. His research interests focus on how digitization and new technology affect markets and business models and on the boundaries of established and the potential of new methods of causal identification in market response models. His research has been published in top-tier journals in the field.
Christian Pescher (“Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests”) is an assistant professor of marketing at the School of Business and Economics at Universidad de los Andes, Chile. Dr. Pescher is an expert in ideation, innovation, AI/machine learning, social networks, and digitalization. He is also interested in how business can contribute to build a better society. Prior to joining Universidad de Los Andes, Chile, Dr. Pescher served as a faculty member at FAU Erlangen-Nuremberg and as a manager at Dr. ing. h.c. F. Porsche AG.
Ashutosh Prasad (“Rejoinder: Dynamic Incentives in Sales Force Compensation”) is a professor of marketing at the University of California Riverside. He has a PhD in marketing from University of Texas at Austin. His research interests are in pricing and advertising strategies, software marketing, and salesforce management topics, such as compensation design, training, and motivation.
Olivier Rubel (“Rejoinder: Dynamic Incentives in Sales Force Compensation”) is a professor of marketing at the Graduate School of Management, University of California Davis. He has a PhD in marketing from HEC Montréal. His research interests are in advertising, channel, and sales management.
Antonio Russo (“Intermediaries in the Online Advertising Market”) holds a PhD from the Toulouse School of Economics. He is currently a senior lecturer in economics at the University of Sheffield and research associate at CESifo. His research interests focus on the economics of infrastructure, digital platforms, and online advertising. His research is published in international journals including RAND Journal of Economics, International Economic Review, Management Science, Journal of Urban Economics, and Journal of Economic Geography.
Jeffrey D. Shulman (“Making Inclusive Product Design a Reality: How Company Culture and Research Bias Impact Investment”) is the Marion B. Ingersoll Professor of Marketing and founder of The Product Management Center at the University of Washington’s Foster School of Business. His game theory research and MBA teaching are currently focused on inclusive product management. He is inspired by his parents, wife, and children to build a more inclusive future through research, teaching, podcasting, and documentary filmmaking.
Martin Spann (“Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube”; “Rejoinder on ‘Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube’”) is professor of electronic commerce and digital markets at the LMU Munich School of Management, Ludwig-Maximilians-Universität München. His research focuses on the impact of information technology on consumers and markets and includes digital platforms, digital advertising, mobile marketing, pricing, and recommender systems. His research has been published in Marketing Science, Management Science, Information Systems Research, MIS Quarterly, Journal of Interactive Marketing, and others.
Gerard J. Tellis (“Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests”) (PhD Michigan) is the Neely Chaired Professor of American Enterprise, director of the Institute for Outlier Research in Business, and director of the Center for Global Innovation at the Marshall School of Business. Dr. Tellis is one of the world’s leading experts in effective advertising, virality on social media, radical innovation, and diffusion of innovations. He has published seven books and more than 200 papers (http://www.gtellis.net) that have earned more than 30,000 citations. His publications have won more than 25 awards.
Rebecca Tushnet (“Comment on ‘Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube’”) is the inaugural Frank Stanton Professor of first amendment law at Harvard Law School. Her work focuses on copyright, trademark, and advertising law. Her blog, tushnet.blogspot.com, is one of the top intellectual property blogs, and her writings may be found at tushnet.com. She is also an expert on the law of engagement rings.
Chutian Wang (“Endogenous Consumption and Metered Paywalls”) is an assistant professor of marketing at City University of Hong Kong. His research focuses on the consumption and provision of information, media markets, and online platforms. He received his PhD in marketing from the University of Maryland, College Park.
Nils Wlömert (“Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube”; “Rejoinder on ‘Frontiers: The Interplay of User-Generated Content, Content Industry Revenues, and Platform Regulation: Quasi-Experimental Evidence from YouTube’”) serves as a professor of marketing and leads the Institute for Retailing & Data Science at the Vienna University of Economics and Business (WU Vienna). His research primarily focuses on the influence of new technologies on markets and corporate business models. He actively engages in research collaborations with international universities, including IDC Herzliya, New York University, and the University of New South Wales.
Yimin Yu (“Commentary on ‘Dynamic Incentives in Sales Force Compensation’”) is an associate professor in the Department of Management Sciences at the College of Business, City University of Hong Kong. He received his PhD in industrial engineering from the University of Minnesota, Twin Cities. His research focuses on supply chain management, service operations, and the interface of operations and marketing. His research has appeared in Manufacturing & Service Operations Management, Operations Research, Marketing Science, and Production and Operations Management.
Zemin (Zachary) Zhong (“History and Country-of-Origin Effects”) is an assistant professor at the Rotman School of Management, University of Toronto. He received his PhD from the University of California, Berkeley. His research interests are the economics of platforms as well as the intersection of marketing and political/development economics.
Bo Zhou (“Endogenous Consumption and Metered Paywalls”) is an associate professor at the University of Maryland, College Park. His research focuses on competitive marketing strategies, in particular, pricing and promotion. He uses analytical models as well as experimental approaches in his research. His work is published in the Journal of Marketing Research, Marketing Science, and Management Science.
Yuting Zhu (“The Power of Commitment in Group Search”) is an assistant professor of marketing at the National University of Singapore Business School. She received her PhD in management from MIT Sloan School of Management in 2022. Her area of research centers on augmenting machine learning methods with economic and marketing domain theories with practical applications in sales force management and targeted advertising. She also works on incentive design for data-driven organization and platforms. Her research works have appeared in Management Science and Marketing Letters.
