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• Localización: Marketing science, ISSN 0732-2399, Vol. 32, Nº 6, 2013, págs. 1009-1011
• Idioma: inglés
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• Resumen

  • 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 (�Profit-Increasing Consumer Exit�) is an associate professor at the Olin Business School at Washington University in St. Louis. He holds a Ph.D. and master's in economics from Stanford University and a B.A. in math and economics from the University of Wisconsin. His research focuses on pricing and product offerings in differentiated competitive markets and the interplay between the two. His research has appeared in top marketing and economics journals. Before joining the Washington University faculty, he taught at Columbia and the University of California, Los Angeles.

    Jing Wang (�Modeling Choice Interdependence in a Social Network�) is a specialist of Asia Pacific Marketing & Sales practice in McKinsey & Company. She received a Ph.D. in statistics from the University of Michigan and worked at Google as a data scientist. Her research interests include Markov chain Monte Carlo and the social network and its application in marketing.

    Kenneth C. Wilbur (�Correcting Audience Externalities in Television Advertising�) teaches core marketing in the MBA program at the University of California, San Diego, Rady School of Management. He produces original, useful research at the intersection of advertising, media, and technology. His work has been published in leading journals, won major awards, influenced practice, and been presented at conferences, universities, and companies worldwide. Complete details are available at http://kennethcwilbur.com.

    Linli Xu (�Correcting Audience Externalities in Television Advertising�) is an assistant professor at the Carlson School of Management, University of Minnesota. She joined the faculty of the marketing department in 2012 after receiving her Ph.D. at the University of Southern California (USC). While in the Ph.D. program at USC, she was awarded the 2010 James S. Ford/Commerce Associate Ph.D. Fellowship in recognition of her outstanding scholastic achievement and research. Her research interests focus on advertising and new product development using quantitative modeling methods. She has presented her works at several marketing conferences, including the UT Dallas FORMS conference, the Marketing Dynamics Conference, and the INFORMS Marketing Science Conference.

    Hema Yoganarasimhan (�The Value of Reputation in an Online Freelance Marketplace�) is an assistant professor at the University of California, Davis. She has an undergraduate degree from the Indian Institute of Technology, Madras and Ph.D. and M.Phil. degrees from Yale University. Her research interests include empirical measurement and analytical modeling of social influence, network effects, fashion, and auctions. In 2008 she won the Marketing Science Institute's Alden G. Clayton Doctoral Dissertation Proposal Award. She has also won the 2012 Frank M. Bass Outstanding Dissertation Award and was the finalist for the 2012 John D. C. Little Best Paper Award.