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Marketing Science · 2012 · Volume 31 · Issue 4

DOI: 10.1287/mksc.1120.0728

Abstract

Alexandre Belloni (“ Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers ”) is an associate professor of decision sciences at the Fuqua School of Business, Duke University. He received a Ph.D. from the Massachusetts Institute of Technology and was awarded an IBM Herman Goldstine Postdoctoral Fellowship. His research interests include high-dimensional statistics and econometrics, mechanism design, and marketing applications. Ram Bezawada (“ Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets ”) is an assistant professor of marketing at the School of Management, State University of New York at Buffalo. He has a Ph.D. in marketing from the Krannert Graduate School of Management and an M.S. in statistics from the College of Science, respectively, from Purdue University. His research interests include aspects related to shopper marketing, health behavior, new product development, and branding. He is also exploring topics related to multichannel shopping, social media, digital marketing, and new media. William Boulding (“ Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers ”) is the Dean and JB Fuqua Professor of Business Administration at the Fuqua School of Business, Duke University. His research interests lie at the intersection of management, marketing, and strategy. He won the 1998 William F. O'Dell Award and the 2006 Harold H. Maynard Award. He is thrilled to see his longtime research collaborator, Rick Staelin, happily teaching core marketing! Joan Calzada (“ Intertemporal Movie Distribution: Versioning When Customers Can Buy Both Versions ”) is an associate professor of economics at the University of Barcelona and a member of the research group on governments and markets. He holds an M.S. in economics from the University College London and a Ph.D. in economics from the University of Barcelona. His research interests are industrial organization and public economics, and he has published in academic journals such as the Economic Journal , Information Economics and Policy , Journal of Regulatory Economics , and Review of Industrial Organization . Mathew B. Chylinski (“ Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Order Effects ”) is a faculty member in the School of Marketing at the Australian School of Business, the University of New South Wales. He is a graduate of the University of New South Wales with honours in economics, and he earned a Ph.D. from the Australian Graduate School of Management. He studies how consumers learn to develop preferences over time and how innovations are adopted based on the structure of social networks. Yaniv Dover (“ Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data ”) is a postdoctoral associate at the Yale School of Management at Yale University. His research interests include word of mouth, social networks, economics of information, and diffusion of innovation. Marshall Freimer (“ Periodic Advertising Pulsing in a Competitive Market ”) is a professor of management science and computers and information systems at the William E. Simon Graduate School of Business Administration at the University of Rochester. He holds a Ph.D. in mathematics from Harvard University. He uses applied probability and decision sciences to analyze problems in information management, electronic commerce, and marketing. With Len Simon, he coauthored Analytical Marketing , which appeared in 1970 and was one of the first published books in the area of marketing science. Michael R. Galbreth (“ Social Sharing of Information Goods: Implications for Pricing and Profits ”) is an associate professor of management science at the Moore School of Business, University of South Carolina. He holds a Ph.D. from Vanderbilt University and has been awarded a Fulbright Scholarship for his research on sustainable operations. His research interests include sustainable business practices, the business impact of emerging technologies, and the interface between operational and marketing decision making. His work has appeared in journals such as Production & Operations Management , MIS Quarterly , and Interfaces . Bikram Ghosh (“ Social Sharing of Information Goods: Implications for Pricing and Profits ”) is an assistant professor of marketing at the Moore School of Business, University of South Carolina. He holds an M.S. in economics and Ph.D. in marketing from Purdue University. His research focuses on analytical and empirical models of product bundling, competitive effects of advertising avoidance technologies such as digital video recorders, and the effect of sustainable business practices on product market competition; he is also interested in analytical models of social networks. His research has appeared in Marketing Science and Management Science . Jacob Goldenberg (“ Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data ”) is a professor of marketing at the School of Business Administration at the Hebrew University of Jerusalem and a visiting professor at the Columbia Business School. His research focuses on creativity, new product development, diffusion of innovation, complexity in market dynamics, and social networks effects. He has published in journals such as the Journal of Marketing , Journal of Marketing Research , Management Science , Marketing Science , Nature Physics , and Science ; in addition, he is an author of two books published by the Cambridge University Press. His scientific work has been featured in the New York Times , the Wall Street Journal , the Boston Globe , the BBC News Herald Tribune , the Economist , and Wired Magazine . Sachin Gupta (“ Handling Endogenous Regressors by Joint Estimation Using Copulas ”) is the Henrietta Johnson Louis Professor of Management and Professor of Marketing at the Samuel Curtis Johnson Graduate School of Management at Cornell University. He received his Ph.D. from Cornell as well. His earlier papers have been honored with the O'Dell Award and the Paul Green Award of the American Marketing Association, and he is also the recipient of several teaching awards. He is on the editorial boards of the Journal of Marketing Research and Marketing Science . Bruce G. S. Hardie (“ Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Order Effects ”) 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. Tingting He (“ Intraconnectivity and Interconnectivity: When Value Creation May Reduce Profits ”) is an assistant professor in marketing at the Lubar Business School, University of Wisconsin–Milwaukee. In 2008, she obtained a Ph.D. in marketing from the Olin Business School, Washington University in St. Louis. Her research interests include quantitative analysis of competitor and consumer behavior. Dan Horsky (“ Periodic Advertising Pulsing in a Competitive Market ”) is the Benjamin L. Forman Professor of Marketing at the William E. Simon Graduate School of Business, University of Rochester. He has published on a wide variety of marketing topics and has twice won the John D. C. Little Best Paper Award. His outside interests include swimming and art collecting. Dmitri Kuksov (“ Intraconnectivity and Interconnectivity: When Value Creation May Reduce Profits ”) is an associate professor at the Olin Business School of the Washington University in St. Louis and holds a Ph.D. in marketing from Haas Business School of the University of California, Berkeley. His research interests include studying 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, and two of his papers were finalists for the 2007 John D. C. Little Award. Mitchell J. Lovett (“ Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers ”) is an assistant professor of marketing at the University of Rochester's Simon Graduate School of Business. He received a Ph.D. in business administration from Duke University and an MBA from Boise State University. His research interests include advertising, targeted marketing, consumer learning, and political marketing. Chakravarthi Narasimhan (“ Intraconnectivity and Interconnectivity: When Value Creation May Reduce Profits ”) is the Philip L. Siteman Professor of Marketing in the Olin Business School at the Washington University in St. Louis. His current research interests are in modeling demand in pharmaceutical and telecommunication markets, understanding the impact of promotions on brands, examining interaction of multiple marketing strategies, and investigating supply chain contracts, especially supply chain strategies under uncertainty. He is an associate editor of Marketing Science and Quantitative Marketing and Economics , and his work 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. Sungho Park (“ Handling Endogenous Regressors by Joint Estimation Using Copulas ”) is an assistant professor of marketing at the W. P. Carey School of Business, Arizona State University. He received his Ph.D. in marketing from the Johnson School of Management, Cornell University. His research interests include dynamics in consumer choice and applications of structural econometric models to marketing. His research has been published in journals such as Marketing Science , the Journal of Marketing Research , and the Journal of Forecasting . John H. Roberts (“ Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Order Effects ”) holds a joint appointment as professor of marketing at the Australian National University and the London Business School. He is a winner of the American Marketing Association's William O'Dell Award, its John Howard Award, and its ART Forum Best Paper Award. He has been a finalist for the John D. C. Little Award three times and the Gary Lilien Marketing Science Practice Prize twice. He sits on the editorial boards of Marketing Science , the Journal of Marketing Research , the Australian Journal of Management , and the Australasian Marketing Journal of Management , and he is an associate editor of the International Journal of Research in Marketing and the Journal of Forecasting . Daniel Shapira (“ Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data ”) is a lecturer for the Department of Business Administration at the Guilford Glazer Faculty of Business and Management in Ben-Gurion University. His research concentrates on the complexity of market dynamics, diffusion of innovation, and emergence of collective behavior in social systems. He applies in his interdisciplinary work ideas and methodologies that are rooted in the field of statistical mechanics to the social sciences. Mikhael Shor (“ Social Sharing of Information Goods: Implications for Pricing and Profits ”) is an assistant professor of economics at the University of Connecticut. He earned his bachelor's degree in economics and foreign affairs at the University of Virginia and his Ph.D. in economics at Rutgers University. Karthik Sridhar (“ Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets ”) is an assistant professor of marketing at the Dauch College of Business and Economics, Ashland University, Ohio. He holds a Ph.D. in marketing with a minor in economics from the School of Management, State University of New York at Buffalo. His research interests lies primarily in areas related to consumer shopping behavior and learning, contemporary retail promotions, new product development, and health product marketing. He also explores topics associated with social influences and new age digital media influences on consumer choice. Richard Staelin (“ Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers ”) is the Edward and Rose Donnell Professor of Business Administration at the Fuqua School of Business, Duke University. A former editor of Marketing Science and president of the INFORMS Society for Marketing Science, he has won best paper awards for Marketing Science , the Journal of Marketing Research , and the Journal of Marketing , and he was awarded the Converse Award and the AMA's Best Educators award. After serving as an administrator for many years, he has gone back to the classroom to teach the core marketing course and finds it a great pleasure. A former runner, he now finds himself limited to the elliptical machine and interacting with his five grandchildren. Minakshi Trivedi (“ Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets ”) is a professor of marketing at the School of Management, State University of New York at Buffalo. She holds a Ph.D. in management science with a minor in operations research from the University of Texas at Dallas and master's degrees in business administration and chemistry, with distinction in both. Her research interests lie in the areas of distribution channels and in the empirical application of quantitative modeling to study the impact of various factors such as format, pricing, health orientation, and more recently, communications and social media, on retailing. She has published in a variety of journals, including Management Science , Marketing Science , and the Journal of Retailing . Tommaso M. Valletti (“ Intertemporal Movie Distribution: Versioning When Customers Can Buy Both Versions ”) is a professor of economics both at Imperial College London and at the University of Rome. He has a magna cum laude degree in engineering from Turin and holds an M.S. and a Ph.D. in economics from the London School of Economics. His research interests are in industrial economics, regulation, and telecoms economics. He was a board director of Consip, the Italian Public Procurement Agency, in 2002—2006, and he has advised numerous bodies, including the European Commission, Organisation for Economic Co-operation and Development, and World Bank, on topics such as network interconnection, mobile telephony markets, and spectrum auctions.

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