Knowledge that Transforms

Adib Bagh (“ How to Price Discriminate When Tariff Size Matters ”) is an assistant professor with a joint appointment in the departments of mathematics and economics at the University of Kentucky. His research interests include price discrimination using nonlinear pricing mechanisms, game theory, and mathematical economics. Hemant K. Bhargava (“ How to Price Discriminate When Tariff Size Matters ”) is an associate dean and the Jerome and Elsie Suran Professor of Technology Management at the Graduate School of Management, University of California, Davis. He studies business strategy and competition for technology products such as information goods, online services, software, electronic gadgets, media and entertainment goods, and alternative energy technologies. Yuxin Chen (“ The Benefit of Uniform Price for Branded Variants ”) is the Polk Brothers Professor in Retailing and professor of marketing at the Kellogg School of Management, Northwestern University. Currently, he is visiting the China Europe International Business School as the Zhongkun Group Visiting Chair Professor of Marketing. His primary research areas include competitive strategies, database marketing, structural empirical models, Bayesian econometric methods, and behavioral economics. His research has appeared in journals such as Marketing Science, the Journal of Marketing Research, Management Science, and Quantitative Marketing and Economics. Pradeep Chintagunta (“ Editorial—Marketing Science: A Strategic Review ”) 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 studying consumer, agent, and firm behavior. In particular, he is interested in measuring the effectiveness of marketing activities in pharmaceutical markets, investigating aspects of technology product markets, studying online and off-line purchase behavior, and analyzing household purchase behavior using scanner data. Tony Haitao Cui (“ The Benefit of Uniform Price for Branded Variants ”) is an assistant professor of marketing at the Carlson School of Management, University of Minnesota, where he teaches Ph.D., EMBA, MBA, and undergraduate courses. He received a B.Eng. in fluid machinery and fluid engineering, a B.Eng. in industrial engineering, and an IMBA, all from Tsinghua University; he holds an M.S. in operations and information management and a Ph.D. in managerial science and applied economics, both from the Wharton School. His research focuses on behavioral modeling in marketing, behavioral and experimental economics, competitive strategies, distribution channels, pricing, and marketing-operations interfaces. His research has appeared in journals such as Marketing Science, Management Science, and Marketing Letters. He was named the 2011 Marketing Science Institute Young Scholar. Yiting Deng (“ Invited Paper—A Keyword History of Marketing Science ”) is a Ph.D. candidate in marketing at the Fuqua School of Business, Duke University. She received her B.A. in economics, B.S. in statistics, and M.A. in economics from Peking University before joining the Ph.D. program. She also holds a M.S. in statistics from Duke University. Her research interests include social media, advertising, online search, and choices. Dennis Fok (“ Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions ”) is a professor of applied econometrics at the Econometric Institute, Erasmus University Rotterdam. His research interests are in the fields of marketing and applied econometrics. These interests include modeling choice at an individual level as well as at an aggregated level; furthermore, he is interested in nonlinear panels and simulation-based estimation. He publishes on these topics in journals as Marketing Science, the Journal of Marketing Research, the Journal of Applied Econometrics, and the Journal of Econometrics. Brett R. Gordon (“ Advertising Effects in Presidential Elections ”) is the Class of 1967 Associate Professor of Business at Columbia Business School. He received his Ph.D. in economics from Carnegie Mellon University in 2007 and joined Columbia Business School the same year. His research focuses on empirical industrial organization, with an emphasis on questions pertaining to pricing, innovation, advertising, dynamic oligopoly, and competitive strategy. Rajdeep Grewal (“ Stock Market Reactions to Customer and Competitor Orientations: The Case of Initial Public Offerings ”) is the Irving & Irene Bard Professor of Marketing at the Smeal College of Business at the Pennsylvania State University; he is also the associate research director of the Institute for the Study of Business Markets there. He received his Ph.D. in 1998 from the University of Cincinnati. His research focuses on empirically modeling strategic marketing issues and has appeared in prestigious journals such as the Journal of Marketing, Journal of Marketing Research, Marketing Science, Management Science, Quantitative Marketing and Economics, and Strategic Management Journal. Currently, he serves as an associate editor for the Journal of Marketing Research and an area editor for the Journal of Marketing. Dominique Hanssens (“ Editorial—Marketing Science: A Strategic Review ”) is the Bud Knapp Distinguished Professor of Marketing at the UCLA Anderson School of Management, where he has been on the faculty since 1977. His research focuses on quantitative models that improve our understanding of marketing impact on business performance. From 2005 to 2007, he served as Executive Director of the Marketing Science Institute in Cambridge, MA. In 2010, he was elected a fellow of the INFORMS Society for Marketing Science. Wesley R. Hartmann (“ Advertising Effects in Presidential Elections ”) is an associate professor of marketing at the Stanford Graduate School of Business. He holds a Ph.D. in economics from the University of California, Los Angeles. He is interested in applying and developing econometric techniques to analyze questions relevant to marketing and economics. His current research focuses on dynamic choice contexts, pricing, social interactions, and targeted marketing. John R. Hauser (“ Editorial—Marketing Science: A Strategic Review ”) is the Kirin Professor of Marketing at the MIT Sloan School of Management, where he teaches new product development, marketing management, competitive marketing strategy, and research methodology. He has consulted for a variety of corporations on product development, sales forecasting, marketing research, voice of the customer, defensive strategy, and research and development management. Among his awards include the Converse Award for contributions to the science of marketing and the Parlin Award for contributions to marketing research. He is a founder and principal at Applied Marketing Science, Inc., a former trustee of the Marketing Science Institute, a fellow of INFORMS and of the INFORMS Society of Marketing Science, and serves on many editorial boards. He enjoys sailing, NASCAR, opera, and country music. Csilla Horváth (“ Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions ”) is an assistant professor of marketing at the Institute for Management Research, Radboud University, Nijmegen, the Netherlands. Her research interests include modeling dynamic marketing processes, branding, self-control, and harmful consumer behavior. She publishes in journals such as the Journal of Marketing Research, International Journal of Research in Marketing, Marketing Letters, and International Journal of Forecasting. Dmitri Kuksov (“ A Model of the “It' Products in Fashion ”) is a professor of marketing at the Naveen Jindal School of Management, the University of Texas at Dallas; previously, he worked at Washington University in St. Louis. He holds a Ph.D. in marketing from Haas Business School of the University of California, Berkeley. His research interests include competitive strategy, markets with incomplete information, consumer communication and networks, branding and product line strategy, and customer satisfaction. He received 2005 Frank M. Bass Dissertation Award; two of his papers were finalists for 2007 John D. C. Little Award, and one was a finalist for INFORMS 2012 Long Term Impact Award. He is an associate editor of Marketing Science, Management Science, and Quantitative Marketing and Economics. Vardit Landsman (“ The Relationship Between DTCA, Drug Requests, and Prescriptions: Uncovering Variation in Specialty and Space ”) is an assistant professor of marketing at the Recanati Business School, Tel Aviv University (Israel), and the Erasmus School of Economics, Erasmus University Rotterdam (the Netherlands). Her fields of interest include the implementation of new modeling approaches to the study of marketing phenomena. Her work involves the study consumer choice and, in particular, the analysis of choice processes within new markets, as well as the study of marketing issues in the context of life sciences. Her work has been published in the Journal of Marketing and Quantitative Marketing and Economics. Carl F. Mela (“ Invited Paper—A Keyword History of Marketing Science ”) is the T. Austin Finch Foundation Professor of Marketing at Duke University, where he teaches brand management and the marketing core. His research focuses on the long-term effects of marketing activity and new media. His articles appear in the Journal of Marketing Research, Marketing Science, the Journal of Marketing, the Harvard Business Review, and t

Greg M. Allenby (“ The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis ”) is the Helen C. Kurtz Chair of Marketing at the Max M. Fisher College of Business, the Ohio State University. Eva Ascarza (“ A Joint Model of Usage and Churn in Contractual Settings ”) is an assistant professor of marketing at the Columbia Business School. She is a marketing modeler who uses tools from statistics and economics to answer marketing questions. Her main research areas are customer analytics and pricing in the context of subscription businesses. Ron Berman (“ The Role of Search Engine Optimization in Search Marketing ”) is a doctoral candidate at the Haas School of Business, University of California, Berkeley. He holds an M.Sc. in computer science from Tel Aviv University and a B.Sc. in physics, math and computer science from the Hebrew University in Jerusalem. His research focuses on new media, online advertising, start-ups, and online phenomena in general. Eyal Biyalogorsky (“ Complementary Goods: Creating, Capturing, and Competing for Value ”) is an associate professor of marketing at the Arison School of Business, the Interdisciplinary Center (IDC) Herzliya, Israel. He received his Ph.D. in marketing from the Fuqua School of Business, Duke University, and was on the faculty of the University of California, Davis, before joining the Arison School of Business. He wants to point out that the work with his complementary coauthors on this paper was an exception to the quality issues discussed in the paper. Joachim Büschken (“ The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis ”) is a professor of marketing at the Ingolstadt School of Management, Catholic University of Eichstätt-Ingolstadt, Germany. Stefano Colombo (“ Product Differentiation and Collusion Sustainability When Collusion Is Costly ”) is an assistant professor of economics at the Università Cattolica del Sacro Cuore, Milan. He has a magna cum laude degree in economics from Bocconi University and holds a Ph.D. in economics (DEFAP) from the Università Cattolica del Sacro Cuore. His research interests are industrial economics, regional economics and spatial methods. He has published in academic journals such as Papers in Regional Science, Games and Economic Behavior, and Annals of Regional Science. Pedro M. Gardete (“ Cheap-Talk Advertising and Misrepresentation in Vertically Differentiated Markets ”) is an assistant professor of marketing at the Stanford Graduate School of Business. His research focuses on marketing strategies related to advertising and on the role of market information in strategic contexts. Zheyin (Jane) Gu (“ Consumer Fit Search, Retailer Shelf Layout, and Channel Interaction ”) is an assistant professor of marketing at the School of Business, University at Albany, State University of New York. She received Ph.D. in marketing from the Stern School of Business, New York University. Her research interests include distribution channel, retailing, e-commerce, and competitive strategies. She has published in the Journal of Marketing Research, Management Science, and Marketing Science. Mehmet Gümüş (“ Returns Policies Between Channel Partners for Durable Products ”) is an assistant professor in the Operations Management Area at the Desautels Faculty of Management, McGill University. He joined McGill in 2007 from the University of California, Berkeley, where he completed his Ph.D. in industrial engineering and operations research and his M.A. in economics. In his research, he explores the impact of customer behavior and information asymmetry on supply chain management, dynamic pricing, and risk management. His research has been published in Management Science, Operations Research, Manufacturing & Service Operations Management, Marketing Science, and Production and Operations Management. Bruce G. S. Hardie (“ A Joint Model of Usage and Churn in Contractual Settings ”) is a professor of marketing at the London Business School. His primary research interest lies in the development of data-based models to support marketing analysts and decision makers, with a particular interest in models that are easy to implement. Most of his current projects focus on the development of probability models for customer-base analysis. Zsolt Katona (“ The Role of Search Engine Optimization in Search Marketing ”) is an assistant professor of marketing at the Haas School of Business, University of California, Berkeley. He has a Ph.D. in management from INSEAD; he previously earned a Ph.D. in computer science from Eotvos University, Budapest. His current research focuses on understanding the interaction between websites' online advertising strategies, and he also studies the role that link structure of social networks plays in word-of-mouth effects and community formation. His research on online marketing has been published in Marketing Science, Management Science, and the Journal of Marketing Research. Previously, he had analyzed characteristics of different random networks and published his work in journals such as the Journal of Applied Probability, Statistics and Probability Letters, and Random Structures and Algorithms. Oded Koenigsberg (“ Complementary Goods: Creating, Capturing, and Competing for Value ”) is an associate professor of marketing at the London Business School. His research interest is the marketing–manufacturing interface—in particular, in incorporating operational constraints into firms' marketing decisions (e.g., pricing, channel, product design and product line). His research has appeared in Quantitative Marketing and Economics, Management Science, Production and Operations Management, the Journal of Marketing Research, and Marketing Science. He is an associate editor at the International Journal of Research in Marketing and serves on the editorial boards of Marketing Science and Production and Operations Management. Yunchuan Liu (“ Consumer Fit Search, Retailer Shelf Layout, and Channel Interaction ”) is an associate professor of business administration at the College of Business, University of Illinois at Urbana–Champaign. He received Ph.D. in marketing from Columbia University. His research interests include distribution channels, retailing, product strategy, and pricing strategy. Many of his papers have been published in Marketing Science and Management Science. Chakravarthi Narasimhan (“ National Brand's Response to Store Brands: Throw In the Towel or Fight Back? ”) is the Philip L. Siteman Professor of Marketing at the Olin Business School, Washington University in St. Louis. His current research interests are in strategic value of information, incorporating non-microeconomic foundations in strategic models, understanding the impact of promotions on brands, examining the interaction of multiple marketing strategies, and supply chain contracts, especially supply chain strategies under uncertainty. He has published in Marketing Science, Management Science, the Journal of Marketing Research, the Journal of Marketing, the Journal of Business, the Journal of Econometrics, and Harvard Business Review, among others. He is an area editor of Marketing Science and is an associate editor of Quantitative Marketing and Economics. Sherif Nasser (“ National Brand's Response to Store Brands: Throw In the Towel or Fight Back? ”) is an assistant professor of marketing at the Olin Business School, Washington University in St. Louis. He holds a Ph.D. in marketing from New York University's Stern School of Business. His research interests are in product differentiation, media and advertising, distribution channels, and the interface of marketing and operations management. Elie Ofek (“ Complementary Goods: Creating, Capturing, and Competing for Value ”) is the T.J. Dermot Dunphy Professor of Business Administration at the Harvard Business School. He received his Ph.D. in business and M.A. in economics from Stanford University. His research focuses on the relationship between marketing and innovation strategy and on how firms can leverage novel technologies or major trends to deliver value to customers. His research has appeared in Marketing Science, Management Science, the Journal of Marketing Research, the Journal of Consumer Research, and the Journal of Economics and Management Strategy. He is an associate editor at Management Science and serves on the editorial boards of Marketing Science, the Journal of Marketing Research, and the International Journal of Research in Marketing. Thomas Otter (“ The Dimensionality of Customer Satisfaction Survey Responses and Implications for Driver Analysis ”) is a professor of marketing at the Faculty of Business and Economics, Johann Wolfgang Goethe University, Frankfurt am Main, Germany. Saibal Ray (“ Returns Policies Between Channel Partners for Durable Products ”) is an associate professor in the Operations Management Area at the Desautels Faculty of Management, McGill University. His research interest can broadly be categorized as value chain management; he is specifically interested in studying value chain risk management, contracting/competition issues in value chains, time-based competition, issues related to used goods markets, capacity and inventory management, and dynamic pricing. His research has been published in such reputed journals as Management Science, Operations Research, Manufacturing & Service Operations Management, Marketing Science, and Production and Operations Management. In addition, he has held (or presently holds) a number of grants from the governments of Canada and Quebec. He has been awarded th

Wilfred Amaldoss (“ Pricing Prototypical Products ”) 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 recent publications have appeared in Marketing Science, Management Science,the Journal of Marketing Research,the Journal of Economic Behavior and Organization, and the Journal of Mathematical Psychology. His work has received the John D. C. Little and the Frank Bass awards. Tammo H. A. Bijmolt (“ Optimizing Retail Assortments ”) is a professor of marketing research at the Department of Marketing and director of the research school SOM, Faculty of Economics and Business Administration, University of Groningen, the Netherlands. His research interests include conceptual and methodological issues such as retailing, loyalty programs, pricing, and meta-analysis. His work has appeared in prestigious journals, such as the Journal of Marketing Research, Journal of Marketing, Journal of Consumer Research, International Journal of Research in Marketing (IJRM), Psychometrika, and the Journal of the Royal Statistical Society Series A. He serves as an associate editor for IJRM. Michael Braun (“ Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories ”) is an associate professor of marketing at the Cox School of Business at Southern Methodist University. He earned his Ph.D. from the Wharton School of the University of Pennsylvania, and he holds an A.B. with honors in economics from Princeton University and an MBA from the Fuqua School of Business at Duke University. He is a noted expert on the statistical analysis of large and complex customer databases; he has written on, spoken on, and taught about management topics such as sales forecasting, customer retention and valuation, marketing return on investment, social networking models, segmentation and targeting strategies, online advertising, and insurance decisions. From 2006 to 2013, he served on the marketing faculty of the MIT Sloan School of Management. Doug J. Chung (“ The Dynamic Advertising Effect of Collegiate Athletics ”) is an assistant professor of business administration in the Marketing Unit at Harvard Business School. He received his Ph.D. in management from Yale University and is also the recipient of the ISMS Doctoral Dissertation Award, ISBM Doctoral Support Award, and the Mary Kay Doctoral Dissertation Award. His research primarily focuses on sales force management and incentive compensation. Prior to pursuing a career in academics, he served as an officer and platoon commander in the South Korean Special Forces before continuing on to a variety of industry positions with several multinational companies. Imran S. Currim (“ Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior ”) is the Chancellor's Professor and Associate Dean at the Paul Merage School of Business at University of California, Irvine. He received his B.Eng. from Victoria Jubilee Technical Institute of the University of Bombay, an MBA from the University of Wisconsin, and M.S. (statistics) and Ph.D. (business) degrees from Stanford. He received two American Marketing Association awards: the William O'Dell Award for a paper published in the Journal of Marketing Research and the Houghton Mifflin Distinguished Teaching in Marketing Award. He has published 40 articles on consumer choice models in the leading field journals, served as an associate editor for Marketing Science and Management Science, and served on the editorial boards of the Journal of Marketing Research and the International Journal of Research in Marketing. For the past five years he has served as associate dean of master's, executive, and undergraduate programs; the Wall Street Journal cited him as a Favorite Professor in an Executive MBA Program, and Business Week ranked his executive MBA marketing class third in the world. Chuan He (“ Pricing Prototypical Products ”) is an associate professor of marketing at the Leeds School of Business, University of Colorado at Boulder; he is also visiting associate professor of marketing at the Cheung Kong Graduate School of Business in Beijing, China. He holds a Ph.D. in marketing from Washington University in St. Louis and an M.A. in economics from the University of Toronto. His fields of specialization and research include advertising, search, pricing strategies, and channel contracts. His recent studies have appeared in Marketing Science, the Journal of Marketing Research, and the Economic Journal. He serves on the editorial board of Marketing Science. Zhongsheng Hua (“ Commentary—On ‘Equilibrium Returns Policies in the Presence of Supplier Competition’ ”) is a professor at and vice dean of the School of Management at University of Science and Technology of China. He has published extensively on supply chain management, channel management, and production research. Ivan Jeliazkov (“ Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior ”) is an associate professor of economics and statistics at the University of California, Irvine. His research is in the area of Bayesian econometrics, with an emphasis on modeling, Markov chain Monte Carlo estimation, model comparison, and discrete data analysis. Yongquan Lan (“ Commentary—On ‘Equilibrium Returns Policies in the Presence of Supplier Competition’ ”) is a Ph.D. candidate affiliated with the joint Ph.D. program between the City University of Hong Kong and the University of Science and Technology of China. His research interest is on operations management and operations/marketing interface research. Yanzhi Li (“ Commentary—On ‘Equilibrium Returns Policies in the Presence of Supplier Competition’ ”) is an associate professor at the City University of Hong Kong. He received his Ph.D. and B.S. from the Hong Kong University of Science and Technology and Tsinghua University, respectively. His research interest is primarily on operations and supply chain management, and he has been recently focusing on interface research between operations and marketing and operations and finance. Ofer Mintz (“ Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior ”) is an assistant professor of marketing at the E. J. Ourso College of Business at Louisiana State University (LSU). He completed his Ph.D. in marketing at the University of California, Irvine; M.Sc. in finance at the University of London; and BBA in marketing at Texas A&M University. Before coming to LSU, he was a visiting faculty member at the Interdisciplinary Center (IDC), Herzliya, Israel, for the spring 2012 semester. His research on marketing strategy/analytics and social media/online marketing has appeared (or is forthcoming) in Marketing Science and the Journal of Marketing. In addition, his teaching in social media/online marketing and international marketing has received high peer evaluation grades, and his courses have also been highlighted by the media. Wendy W. Moe (“ Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories ”) is an associate professor of marketing and director of the M.S. in Marketing Analytics program at the Robert H. Smith School of Business, University of Maryland. She holds a Ph.D., M.A., and B.S. from the Wharton School at the University of Pennsylvania, as well as an MBA from Georgetown University. She is a recognized expert in online marketing and social media and has been on the faculty at the University of Maryland since 2004. Prior to that, she was on the faculty at the University of Texas at Austin. In addition to her academic work, she has consulted for numerous corporations and government agencies, helping them develop and implement state-of-the-art statistical models in the context of Web analytics, social media intelligence, and forecasting. Amit Pazgal (“ Co-Creation with Production Externalities ”) is a professor of marketing at the Jones Graduate School of Business, Rice University. He received his Ph.D. from the Kellogg School of Management, Northwestern University. His current research focuses on the analysis and characterization of optimal price-setting procedures employed by firms in various strategic environments. His research has appeared in the leading marketing, management, operations, and economics journals. Raghunath Singh Rao (“ Conspicuous Consumption and Dynamic Pricing ”) is an assistant professor of marketing at the McCombs School of Business at the University of Texas at Austin. He received a master's in applied economics and a Ph.D. in business administration from the University of Minnesota. His research interests include information asymmetry and bounded rationality issues in marketing in relation to substantive topics such as durable goods markets, pricing, sales management, and innovation. His research has been published in the Journal of Marketing Research, Marketing Science, and the Journal of Marketing. He was honored as a Marketing Science Institute (MSI) Young Scholar in 2011. Robert Ridlon (“ Favoring the Winner or Loser in Repeated Contests ”) is an assistant professor of business economics and public policy in the Kelley School of Business at Indiana University. He received his doctoral degree in business economics from Indiana University, where

Greg M. Allenby (“ A Direct Utility Model for Asymmetric Complements ”) is the Kurtz Chair in Marketing at the Ohio State University. He is a fellow of the American Statistical Association and the 2012 recipient of the AMA Parlin Award for his contributions to the field of marketing research. He is editor of Quantitative Marketing and Economics and past area/associate editor for Marketing Science, the Journal of Marketing Research, and the Journal of Business and Economic Statistics. Ram Bala (“ Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability ”) is an assistant professor of operations management and information systems at the Leavey School of Business, Santa Clara University. He holds a Ph.D. in management science from the UCLA Anderson School of Management. His main research areas are product line design, promotional effort allocation, global product development, and pricing and contracting strategies for services. His research cuts across disciplinary lines, particularly operations management, marketing, and information systems. Pradeep Bhardwaj (“ Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability ”) is an associate professor of marketing at the College of Business Administration, University of Central Florida. His research interests include sales force management, distribution channels, customer relationship management, and pricing policies. His research has been published in leading journals such as Marketing Science, Management Science, and Quantitative Marketing and Economics. His ideas have been developed into several cross-functional projects that are applicable to sales force management, distribution channels, and customer lifetime value management. Richard A. Briesch (“ Category Positioning and Store Choice: The Role of Destination Categories ”) is the Marilyn and Leo Corrigan Endowed Associate Professor of Marketing, Cox School of Business, Southern Methodist University. His primary areas of research are the modeling consumer decision making, sales promotions, and nonparametric methods. Yuxin Chen (“ Offering Pharmaceutical Samples: The Role of Physician Learning and Patient Payment Ability ”) is the Polk Bros. Professor in Retailing at the Kellogg School of Management at Northwestern University. His primary research areas include database marketing, Internet marketing, pricing, retailing, competitive strategies, structural empirical models, Bayesian econometric methods, and behavioral economics. His research has appeared in journals such as the Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics. He received the Frank M. Bass Dissertation Paper Award for best marketing paper derived from a Ph.D. thesis published in an INFORMS-sponsored journal and the 2001 John D. C. Little Award for the best marketing paper published in Marketing Science or Management Science for his research on targeted marketing. Dilip Chhajed (“ Can Commonality Relieve Cannibalization in Product Line Design? ”) is a professor and associate head in the Department of Business Administration at the University of Illinois at Urbana–Champaign. He is also the executive director of the masters programs. He got his Ph.D. from Purdue University. His research interests are in supply chain management and product and process design problems. He coedited (with Timothy J. Lowe) Building Intuition: Insights from Basic Operations Management Models and Principles. William R. Dillon (“ Category Positioning and Store Choice: The Role of Destination Categories ”) is the Herman W. Lay Professor of Marketing and Professor of Statistics at the Cox School of Business, Southern Methodist University. He also serves as senior associate dean. He received his Ph.D. in marketing and quantitative methods from the City University of New York. His research interests are in the areas of segmentation, positioning, brand equity, market structure, and issues related to the development and use of latent-class/mixture models and covariance structure models. Edward J. Fox (“ Category Positioning and Store Choice: The Role of Destination Categories ”) is an associate professor of marketing and the Corrigan Research Professor at the Edwin L. Cox School of Business at Southern Methodist University. He is also the W.R. & Judy Howell Director of Southern Methodist University's JCPenney Center for Retail Excellence. His research interests include retail management, consumer shopping behavior, and statistical modeling. His recent projects have focused on retail assortment management, pricing and inventory management, and consumer “cherry-picking” behavior. Liang Guo (“ Multilateral Bargaining and Downstream Competition ”) is an associate professor of marketing and the Senior Wei Lun Fellow at the Hong Kong University of Science and Technology. He received a Ph.D. in business administration from the University of California, Berkeley, and a B.A. in economics from Beijing University. His research interests include economics of psychology, marketing strategy, industrial organization, and applied economics. His research work has been accepted for publication at the Journal of Economics and Management Strategy, Management Science, and Marketing Science. He serves as an associate editor on the editorial boards of the International Journal of Research in Marketing, Marketing Science, and Management Science. Tanjim Hossain (“ When Do Markets Tip? A Cognitive Hierarchy Approach ”) is an assistant professor of marketing at the University of Toronto. He has conducted research on online auctions, incentive effects in the lab and in the field, and two-sided markets. He has published papers in the top economics, management, and marketing journals, and his research has also been featured in USA Today, the Christian Science Monitor, the Boston Globe, U.S. News and World Report, and the Economist. He has won awards for excellence in refereeing from the American Economic Review and Management Science. Ganesh Iyer (“ Multilateral Bargaining and Downstream Competition ”) is the Edgar F. Kaiser Professor of Business Administration at the Haas School of Business, University of California, Berkeley. He received his Ph.D. from the University of Toronto and was previously on the faculty at the Washington University in St. Louis. His research uses economic theory to study marketing strategy problems; his areas of research are the coordination of product distribution, marketing information, Internet strategy, strategic communication, and bounded rationality in marketing strategy. His research has been published in several journals, including Marketing Science, Management Science, the Journal of Marketing Research, and Quantitative Marketing and Economics. He is currently an associate editor for Marketing Science, Management Science, and Quantitative Marketing and Economics. Jaehwan Kim (“ A Direct Utility Model for Asymmetric Complements ”) is an associate professor of marketing at the Korea University Business School. He received his Ph.D. from the Ohio State University. His research interests are in modeling consumer demand at the micro level using an economic utility approach and its applications to product line formation, and advertising content decisions. Kilsun Kim (“ Can Commonality Relieve Cannibalization in Product Line Design? ”) is a professor and associate dean at the College of Business, Sogang University, Seoul, South Korea. He is also the director of the Research Institute for Management of Technology and a cofounder of the Graduate School of Management of Technology at Sogang University. He received a Ph.D. from the University of Illinois at Urbana–Champaign. His research interests are in new product development and the management of technology. George Knox (“ Incorporating Direct Marketing Activity into Latent Attrition Models ”) is an assistant professor of marketing at the LeBow College of Business, Drexel University. He holds a Ph.D. in marketing from the Wharton School of the University of Pennsylvania and was previously on the faculty of Tilburg University. His current research includes quantifying the impact of customer complaints on lifetime value and exploring unplanned and impulse buying in developed and emerging markets. He has published in the Journal of Marketing, International Journal of Research in Marketing, and Manufacturing and Service Operations Management. Sanghak Lee (“ A Direct Utility Model for Asymmetric Complements ”) 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. Yunchuan Liu (“ Can Commonality Relieve Cannibalization in Product Line Design? ”) is an associate professor of business administration at the College of Business, University of Illinois at Urbana–Champaign. He received a Ph.D. in marketing from Columbia University. His research interests include distribution channels, retailing, product strategy, and pricing strategy. Many of his papers have been published in Marketing Science and Management Science. John Morgan (“ When Do Markets Tip? A Cognitive Hierarchy Approach ”) is the Gary and Sherron Kalbach Professor of Entrepreneurship at the Haas School of Business, University of California, Berkeley. His research includes studies of the economics of the Internet, tournamen

Anocha Aribarg (“ Modeling Choice Interdependence in a Social Network ”) is an associate professor at the Ross School of Business, University of Michigan. She received a B.S. in statistics from Chulalongkorn University, Thailand and an MBA from the University of Wisconsin–Milwaukee; she received a Ph.D. degree in marketing from the University of Wisconsin. Her research focuses on developing econometric and statistical models; she integrates statistical modeling, Bayesian inference, conjoint experiments, and consumer behavior theories to study challenging marketing problems that involve understanding consumers' complex decision making and improving managerial decisions. Yves F. Atchadé (“ Modeling Choice Interdependence in a Social Network ”) is an associate professor in the Department of Statistics at the University of Michigan, Ann Arbor. He received his Ph.D. from the Université de Montréal in 2003. His research focuses on computational methods for high-dimensional and intractable statistical models, with applications in social sciences and environmental sciences. He did his undergraduate studies at the Université d'Abomey-Calavi in Benin and at the Ecole Nationale Supérieure de Statistique et d' Economie Appliquée, Abidjan, Cote d'Ivoire. David R. Bell (“ Neighborhood Social Capital and Social Learning for Experience Attributes of Products ”) is the Xinmei Zhang and Yongge Dai Professor at the Wharton School, University of Pennsylvania. He received a Ph.D. from the Graduate School of Business at Stanford University. His research focuses on consumer behavior on the Internet, and recent articles explain how and why geography matters for Internet retailers. He owns multiple Bonobos.com products and does most of his shopping online. Zixia Cao (“ Wedded Bliss or Tainted Love? Stock Market Reactions to the Introduction of Cobranded Products ”) is an assistant professor of marketing at the College of Business, West Texas A&M University. She joined the faculty of the College of Business in 2012 after receiving her Ph.D. at Texas A&M University. Her research interests include innovation, advertising, and the marketing–finance interface. Andrew T. Ching (“ Invited Paper—Learning Models: An Assessment of Progress, Challenges, and New Developments ”) is an associate professor of marketing at the Rotman School of Management, University of Toronto. His research focuses on developing new empirical models and estimation methods to understand the forward-looking behavior of consumers and firms. He has applied these techniques to study new technology adoption decisions by consumers and the demand for new and used digital products. He has also applied these techniques to study how marketing mix and word-of-mouth (WOM) affect consumer choice in prescription drug markets, how firms decide their marketing mix to take advantage of WOM, and how firms interact with each other in a dynamic game environment. He received the Young Economist Award from the European Economic Association in 2003, an Honorable Mention for the Dick Wittink Prize Award in 2011, the Excellence in Teaching Award in 2012, and a major grant from the Social Sciences and Humanities Research Council. Timothy Derdenger (“ The Dynamic Effects of Bundling as a Product Strategy ”) holds a Ph.D. in economics from the University of Southern California and a B.B.A. from the George Washington University. His research interests are divided into two areas: the study of technology and sports markets. Broadly, his research focuses on the marketing and strategy associated with a given product/product line both empirically and theoretically. He has publications in both Marketing Science and Management Science. Tülin Erdem (“ Invited Paper—Learning Models: An Assessment of Progress, Challenges, and New Developments ”) is the Leonard N. Stern Professor of Business Administration and Professor of Marketing at the Stern School of Business, New York University. Her research interests include advertising, brand management and equity, consumer choice, decision making under uncertainty, econometric modeling, and marketing mix effectiveness. She has received best paper awards, as well major research grants, including two major National Science Foundation grants. She has been an area editor at Marketing Science, associate editor at Quantitative Marketing and Economics and the Journal of Consumer Research, and editor-in-chief of the Journal of Marketing Research (July 2009–June 2012). She also served as the president of INFORMS Society for Marketing Science. Michael P. Keane (“ Invited Paper—Learning Models: An Assessment of Progress, Challenges, and New Developments ”) is the Nuffield Professor of Economics at the University of Oxford. He has made significant contributions in several areas including simulation methods, discrete choice modeling, human capital investment, labor supply, health economics, and incentive effects of taxes. Honors include being named a fellow of the Econometric Society in 2005, election to the Council of the Econometric Society in 2009, the John D. C. Little Award for best paper in Marketing Science in 1996, and the Arrow Award for best paper in health economics in 2008. He was named an Australian Federation Fellow in 2005 and Laureate Fellow in 2011, and he has received 10 major grants from the National Science Foundation, National Institutes of Health, and Australian Research Council. He has been an associate editor at Econometrica (2002–2008) and the Journal of Econometrics (2009–present). David Kempe (“ Correcting Audience Externalities in Television Advertising ”) has been on the faculty in the Department of Computer Science at the University of Southern California (USC) since the fall of 2004, where he is currently an associate professor. He received his Ph.D. from Cornell University in 2003. His primary research interests are in computer science theory and the design and analysis of algorithms, with a particular emphasis on social networks, algorithms for feature selection, and game-theoretic and pricing questions. He is a recipient of the National Science Foundation CAREER award, the Viterbi School of Engineering (VSoE) Junior Research Award, the Office of Naval Research (ONR) Young Investigator Award, a Sloan Fellowship, and an Okawa Fellowship, in addition to several USC mentoring awards. Vineet Kumar (“ The Dynamic Effects of Bundling as a Product Strategy ”) is an assistant professor of business administration in the Marketing Unit at Harvard Business School. He received his undergraduate degree from the Indian Institute of Technology, and completed his doctoral study in the Tepper School at Carnegie Mellon University. His research focus is on understanding the drivers of value in technology products and services, with a specific interest in complementary products, and strategies that firms should adopt in designing such products. Jae Young Lee (“ Neighborhood Social Capital and Social Learning for Experience Attributes of Products ”) is a Ph.D. candidate in marketing at the Wharton School, University of Pennsylvania, and is joining Yonsei University as an assistant professor. He received his M.S. in statistics from the University of Michigan and his B.A. in economics from Seoul National University. His research focuses on understanding the impact of social capital, opinion leadership, homophily, and triadic balance on social learning. Amit Pazgal (“ Profit-Increasing Consumer Exit ”) is a professor of marketing at the Jones Graduate School of Business at Rice University. He received his Ph.D. from the Kellogg School of Management, Northwestern University. His current research focuses on the analysis and characterization of optimal price setting procedures employed by firms in various strategic environments. His research appeared in leading marketing, management, operations, and economics journals. David Soberman (“ Profit-Increasing Consumer Exit ”) is a professor of marketing and the CN Chair in Strategic Management at the Rotman School of Management at the University of Toronto. He is a licensed professional engineer (Ontario), and he holds a Ph.D. (management) from the University of Toronto and an MBA and a B.S. in chemical engineering from Queen's University in Kingston. His research consists of using applied microeconomics and game theory to analyze a number of marketing phenomena. His research has appeared in Marketing Science, Management Science, the Journal of Marketing Research, the Journal of Marketing, and the California Management Review. Before his doctoral studies, he held a number of positions in marketing management, sales, and engineering with Molson Breweries, Nabisco Brands Ltd., and Imperial Oil Ltd. Alina Sorescu (“ Wedded Bliss or Tainted Love? Stock Market Reactions to the Introduction of Cobranded Products ”) is the Rebecca U. '74 and William S. Nichols III '74 Associate Professor of Marketing at the Mays Business School, Texas A&M University. She holds a B.S. in mathematics from the University of Bucharest, an M.S. in statistics from the University of Florida, and a Ph.D. from the University of Houston. Her research focuses on radical innovations, product portfolio decisions, branding, acquisitions and alliances, and measuring the financial value of marketing actions; it has been published in the Journal of Marketing Research, Journal of Marketing, and Journal of Retailing, among others. Her research awards include the American Marketing Association (AMA) John A. Howard Dissertation Award, the Academy of Marketing Science Mary Kay Cosmetics Dissertation Award, and best paper awards at AMA and Strategic Management Society conferences. Raphael Thomadsen (“ P

Marketing Science greatly benefited from the admirable and fastidious efforts of more than 200 different individuals who provided manuscript reviews last year. Beyond those individuals already recognized on the editorial board, the editor-in-chief and guest editors of Marketing Science are indebted to the many guest editors-in-chief, guest associate editors, and ad hoc reviewers who provided expert counsel and guidance on a voluntary basis. The following list acknowledges the contribution of guest editors-in-chiefs, guest associate editors, and ad hoc reviewers who served from December 1, 2011 to December 31, 2012. Finally, let us not forget to thank the authors. Marketing Science requires and receives outstanding submissions from many leading researchers and prestigious organizations.

The recent article by Bandyopadhyay and Paul [Bandyopadhyay S, Paul AA 2010 Equilibrium returns policies in the presence of supplier competition. Marketing Sci. 295:846--857] searched for an explan...

Nadia Abou Nabout (“ Practice Prize Paper—PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising ”) received her Ph.D. from Goethe University Frankfurt, Germany, where she now holds a position as an assistant professor. Her research projects focus on online marketing—in particular, search engine advertising, Facebook advertising, and advertising exchanges. Her publications appeared in journals such as Marketing Science, the International Journal of Research in Marketing, and the Journal of Interactive Marketing. Vikram Bhaskaran (“ Practice Prize Winner—Creating a Measurable Social Media Marketing Strategy: Increasing the Value and ROI of Intangibles and Tangibles for Hokey Pokey ”) is an analyst at Freshdesk, Inc., in Chennai, India. He graduated with a master's degree in marketing from the Robinson College of Business at Georgia State University. Kevin YC Chung (“ Economic Value of Celebrity Endorsements: Tiger Woods' Impact on Sales of Nike Golf Balls ”) is a doctoral candidate in the Tepper School of Business at Carnegie Mellon University. He will earn his Ph.D. in the spring of 2013. He also holds an M.S. in statistics from the University of Chicago and a B.A. and B.S. degrees from the University of Pennsylvania. Timothy P. Derdenger (“ Economic Value of Celebrity Endorsements: Tiger Woods' Impact on Sales of Nike Golf Balls ”) is an assistant professor of marketing and strategy in the Tepper School of Business at Carnegie Mellon University. He holds a Ph.D. in economics from the University of Southern California and a B.B.A. from the George Washington University. Sandy D. Jap (“ Media Multiplexing Behavior: Implications for Targeting and Media Planning ”) is the Goizueta Term Chair Professor of Marketing at Emory University. Her research focuses on the development and management of interorganizational relationships, multichannel management and design, and e-procurement processes such as online reverse auctions; this research has been published in a variety of books and journals, including the Journal of Marketing Research, Journal of Marketing, Marketing Science, Management Science, and Organization Science. She has received numerous awards and distinctions, including the Lou Stern Award, an MSI Young Scholar award and an O'Dell Award finalist. Currently, she is an editorial board member at the Journal of Marketing Research and Marketing Letters and an area editor for the International Journal of Research in Marketing. Dmitri Kuksov (“ Advertising and Consumers' Communications ”) is a professor of marketing at the Naveen Jindal School of Management, the University of Texas at Dallas; he previously worked at the Washington University in St. Louis. He holds a Ph.D. in marketing from Haas Business School of the University of California, Berkeley. His research interests include competitive strategy, markets with incomplete information, consumer communication and networks, branding and product line strategy, and customer satisfaction. His work has appeared in a number of journals including Marketing Science, Management Science, the Journal of Marketing Research, and the Journal of Economic Theory. He received the 2005 Frank M. Bass Dissertation Award; two of his papers were finalists for 2007 John D. C. Little Award, and one was a finalist for INFORMS 2012 Long Term Impact Award. V. Kumar (“ Practice Prize Winner—Creating a Measurable Social Media Marketing Strategy: Increasing the Value and ROI of Intangibles and Tangibles for Hokey Pokey ”) is the Regents Professor, Lenny Distinguished Chair, Professor of Marketing, Executive Director of the Center for Excellence in Brand and Customer Management, and Director of the Ph.D. Program in Marketing at the J. Mack Robinson College of Business, Georgia State University. He has been recognized with seven lifetime achievement awards in marketing, the Paul D. Converse Award, the Sheth Foundation/Journal of Marketing Long Term Impact Award, and the Gary L. Lilien ISMS-MSI Practice Prize Award. He has published over 200 articles and books in many scholarly journals in marketing including the Harvard Business Review, Sloan Management Review, Journal of Marketing, Journal of Marketing Research, Marketing Science, Management Science, and Operations Research. He leads the marketing science to marketing practice initiative at the INFORMS Society for Marketing Science and has worked with Global Fortune 1000 firms to maximize their profits. He spends his “free” time visiting business leaders to identify challenging problems to solve. Gary L. Lilien (“ Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects ”) is a Distinguished Research Professor at Pennsylvania State University, and cofounder and research director of the Institute for the Study of Business Markets ( http://www.isbm.org ). He is an inaugural Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), the INFORMS Society for Marketing Science (ISMS), and the European Marketing Academy. He was honored as a Morse Lecturer for INFORMS and received the Kimball medal from INFORMS for distinguished contributions to the field of operations research. He has received honorary doctorates from the University of Liege, the University of Ghent and Aston University, as well as the 2008 Educator of the Year Award from the American Marketing Association. He received the 2012 Gilbert Churchill Award for Lifetime Contributions to Marketing Research; in 2010, the ISMS-MSI Practice Prize for the best applied work in marketing science globally was renamed the Gary Lilien ISMS-MSI Practice Prize in his honor. Chen Lin (“ Media Multiplexing Behavior: Implications for Targeting and Media Planning ”) is an assistant professor of marketing at the Eli Broad College of Business, Michigan State University, where she teaches undergraduate marketing strategy and a Ph.D. modeling seminar. She received her Ph.D. in marketing from the Goizueta Business School at Emory University in 2012 and her B.S. in computing from the National University of Singapore in 2007. Her research interest lies in examining complex decisions under multiple consumption scenarios; this includes consumer decisions in traditional multicategory and multichannel media consumption, multichannel advertising setting, as well as in broader applications where product categories are seemingly disparate. Her work has been published in Marketing Science. Sharat K. Mathur (“ Practice Prize Paper—Category Optimizer: A Dynamic-Assortment, New-Product-Introduction, Mix-Optimization, and Demand-Planning System ”) is a senior vice president with the SymphonyIRI group in Chicago. His work focuses on helping Fortune 100 companies achieve their sales and marketing strategies using advanced, real-time analytics. Previously he worked with Booz & Company and Archstone Consulting, where he served clients across a range of industries. Prior to becoming a management consultant, he was an assistant professor of marketing at the Australian Graduate School of Management in Sydney, Australia. He has a Ph.D. in marketing from the University of Iowa. Rohan Mirchandani (“ Practice Prize Winner—Creating a Measurable Social Media Marketing Strategy: Increasing the Value and ROI of Intangibles and Tangibles for Hokey Pokey ”) is the director of the Ross Group and Drumsfood International (owner of Hokey Pokey) and is responsible for facilitating the field experiment in India. He graduated with a bachelor's degree in finance from New York University and a master's degree in business administration from the Wharton School of the University of Pennsylvania. He has worked in a private equity firm and currently pursues his passion of entrepreneurship. Elie Ofek (“ Vaporware, Suddenware, and Trueware: New Product Preannouncements Under Market Uncertainty ”) is the T. J. Dermot Dunphy Professor of Business Administration at the Harvard Business School. He received his Ph.D. in business and M.A. in economics from Stanford University. His research focuses on how marketing decisions and input can impact innovation strategy and on how firms can leverage novel technologies or major trends to deliver value to customers. His research has appeared in Marketing Science, Management Science, the Journal of Marketing Research, the Journal of Consumer Research, and the Journal of Economics and Management Strategy. He is an associate editor at Management Science and serves on the editorial boards of Marketing Science, the Journal of Marketing Research, and the International Journal of Research in Marketing. Jagmohan S. Raju (“ Exclusive Handset Arrangements in the Wireless Industry: A Competitive Analysis ”) is the Joseph J. Aresty Professor of Marketing at the Wharton School and the chair of Wharton's Marketing Department. He has a Ph.D. from the Graduate School of Business at Stanford University. His previous work has won the Frank M. Bass Award as well as the John D. C. Little Award. This paper is based on the Ph.D. thesis of Upender Subramanian, who is his 12th doctoral student. John H. Roberts (“ Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects ”) holds a joint appointment as professor of marketing at the Australian National University and the London Business School; he is also an Emeritus Scientia Professor at the University of New South Wales. His research concerns marketing strategy, marketing models and their adoption by industry, new product marketing and brand equity, high-technology marketing, and diffusion of new products. He has won the American Marketing Association's John A. Howard Award,

Online advertising campaigns often consist of multiple ads, each with different creative content. We consider how various creatives in a campaign differentially affect behavior given the targeted i...