Marketing Science 2012
Focus on Authors
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
- DOI
- 10.1287/mksc.1120.0728
- Sources
- openalex