Focus on Authors
2011; Institute for Operations Research and the Management Sciences; Volume: 30; Issue: 1 Linguagem: Inglês
10.1287/mksc.1100.0623
ISSN1526-548X
ResumoGreg M. Allenby (“ Identifying Unmet Demand ”; “ The Effect of Media Advertising on Brand Consideration and Choice ”; “ Bayesian Analysis of Hierarchical Effects ”) is the Helen C. Kurtz Chair in Marketing at The Ohio State University. He specializes in the study of economic and statistical issues in marketing. His research deals with developing new insights about consumer behavior from customer data routinely collected by most organizations. These insights are used to develop and improve product development, pricing, promotion, market segmentation, and target marketing activities. He is a fellow of the American Statistical Association, coauthor of Bayesian Statistics and Marketing (Wiley, 2005), and coeditor of Quantitative Marketing and Economics. Masataka Ban (“ The Effect of Media Advertising on Brand Consideration and Choice ”) is a lecturer at the Faculty of Business Administration, Mejiro University (Japan). His research interests involve measuring advertising effectiveness and optimizing media scheduling. Jeff D. Brazell (“ Bayesian Analysis of Hierarchical Effects ”) is the CEO of The Modellers, LLC, based in Salt Lake City. Over the past 20 years, he has held various high-level management positions at several national and international firms, has taught marketing at two universities, and has been extensively involved in researching new quantitative methods. He has a passion for developing new theory and methods that make a real impact in industry—methods that will be used and that drive important decisions. He loves designing and delivering research projects to help clients with their most difficult challenges. Those research interests include projects from such clients as General Motors, American Express, P&G, Citibank, Disney, GE, eBay, IBM, Lucas Arts, Paramount, Purina, Schick, Toyota, and Verizon. He has been blissfully married for nearly 30 years and has three wonderful children. Sandeep R. Chandukala (“ Identifying Unmet Demand ”; “ Bayesian Analysis of Hierarchical Effects ”) joined the Kelley School of Business, Indiana University, as an assistant professor of marketing in 2008. Prior to joining Kelley, he received a Ph.D. in marketing from The Ohio State University. He also has an MBA and M.S. from the University of Texas at Dallas and an M.S. in computer engineering from the University of Minnesota, Minneapolis. His research interests are related to developing quantitative models of consumer behavior using industrial data. In particular, his modeling interests are in understanding and measuring the impact of advertising and proposing new approaches for market segmentation using Bayesian and Markov chain Monte Carlo methods. Keisha M. Cutright (“ Brands: The Opiate of the Nonreligious Masses? ”) is a doctoral candidate at the Fuqua School of Business at Duke University. She studies consumer behavior, with a particular emphasis on consumers' needs for order and structure. She currently has research forthcoming in the Journal of Marketing Research and Marketing Science. Peter J. Danaher (“ Modeling Multivariate Distributions Using Copulas: Applications in Marketing ”; “ Rejoinder—Estimation Issues for Copulas Applied to Marketing Data ”) is the Coles Myer Chair of Marketing and Retailing at the Melbourne Business School in Australia. He was previously at the University of Auckland and has had visiting positions at London Business School, The Wharton School of the University of Pennsylvania, and MIT. His primary research interests are media exposure distributions, advertising effectiveness, television audience measurement and behavior, Internet usage behavior, customer satisfaction measurement, forecasting, and sample surveys. He serves on the editorial boards of the Journal of Marketing, the Journal of Marketing Research, Marketing Science, and the Journal of Service Research. He is also an area editor for the International Journal of Research in Marketing. Jeffrey P. Dotson (“ Bayesian Analysis of Hierarchical Effects ”) is an assistant professor of marketing in the Owen Graduate School of Management at Vanderbilt University. He holds a Ph.D. in marketing from The Ohio State University and master's degrees in statistics and business administration from the University of Utah. His research focuses on the application of Bayesian statistics to a variety of marketing problems, including linking customer and employee satisfaction to firm performance and developing more accurate models of consumer decision making. Yancy D. Edwards (“ Identifying Unmet Demand ”) is an associate professor of marketing at the School of Business at Saint Leo University. He holds a Ph.D. in business administration (marketing) from The Ohio State University. His research involves building models that are more insightful and predictive of consumer behavior, quantifying aspects of consumer behavior using data routinely collected by most organizations, and developing methodologies to aid in estimating marketing models. Tülin Erdem (“ Brands: The Opiate of the Nonreligious Masses? ”) is the Leonard N. Stern Professor of Business and a professor of marketing at the Stern School of Business, New York University. Before joining the Stern School, she was the E. T. Grether Professor of Business Administration at the Haas School of Business, University of California, Berkeley, where she served also as the Marketing Group Chair, Haas Ph.D. Program Director, and the Associate Dean for Research. Her research interests include advertising, branding, choice modeling, consumer decision making under uncertainty, econometric modeling, and pricing. She has published several articles in major field journals and won the Little and Bass awards. She has served as an AE for Marketing Science, the Journal of Consumer Research, and Quantitative Marketing and Economics. She has also served as the ISMS President. Currently, she is serving as the editor for the Journal of Marketing Research. Gavan J. Fitzsimons (“ Brands: The Opiate of the Nonreligious Masses? ”) is the R. David Thomas professor of marketing and psychology at Duke University's Fuqua School of Business. His research focuses on understanding the ways in which consumers may be influenced without their conscious knowledge or awareness by marketers and marketing researchers, often without any intent on the part of the marketer. His ideas have been featured in many popular press outlets such as NPR; CNN; MSNBC; the New York Times; the Financial Times; the Wall Street Journal; Psychology Today; O, The Oprah Magazine; and Time, among many others. He serves as an associate editor for the Journal of Consumer Research. Edward I. George (“ Commentary—A Latent Variable Perspective of Copula Modeling ”) is the Chair of the Department of Statistics and the Universal Furniture Professor at The Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association, a fellow of the Institute for Mathematical Statistics, and a member of International Statistical Institute. He has served as President of the International Society for Bayesian Analysis, as executive editor of Statistical Science, and as associate editor of Bayesian Analysis, Biometrika, Journal of the American Statistical Association, and Statistics Surveys. An ISI Highly Cited Researcher, his current research interests include Bayesian analysis, classification and regression tree modeling, model uncertainty, predictive inference, statistical decision theory, and variable selection. Marcel Goić (“ Cross-Market Discounts ”) is a doctoral candidate at the Tepper School of Business, Carnegie Mellon University and an assistant professor at the Department of Industrial Engineering, University of Chile. He previously received a B.S. degree in industrial engineering and a M.S. degree in operations management from the University of Chile. His research interest includes database marketing, decision support systems, and retail management, where he focuses on pricing, assortment, and promotion decisions. Shane T. Jensen (“ Commentary—A Latent Variable Perspective of Copula Modeling ”) is an associate professor of statistics at The Wharton School at the University of Pennsylvania, where he has been teaching since completing his Ph.D. at Harvard University in 2004. He has published over 30 academic papers in statistical and machine learning methodology for a variety of applied areas, including molecular biology, economics, and sports. Kinshuk Jerath (“ Cross-Market Discounts ”) is an assistant professor of marketing at the Tepper School of Business at Carnegie Mellon University. He received a B.Tech. degree in computer science and engineering from the Indian Institute of Technology Bombay and a Ph.D. degree in marketing from The Wharton School of the University of Pennsylvania. His research interests are two-fold—theoretical models that help to obtain deeper understanding of marketing phenomena, especially phenomena related to retailing, and applied statistical models that support marketing analysts and decision makers. His research has appeared in top-tier marketing journals. Zsolt Katona (“ ‘Bricks and Clicks’: The Impact of Product Returns on the Strategies of Multichannel Retailers ”) 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 and earned a Ph.D. in computer science from Eotvos University, Budapest. His current research focuses on understanding the interaction between websites' online advertising strategies. He also studies the role that link structure of social networks plays in word-of-mouth effects and community formation. Previously, he had analyzed characteristics of different random networks and published his work in such journals as the Journal of Applied Probability, Statistics and Probability Letters, and Random Structures and Algorithms. Oded Koenigsberg (“ The Design of Durable Goods ”) is the Barbara and Meyer Feldberg Associate of Business at Columbia Business School, Columbia University. He received a Ph.D. in operations management from Fuqua School of Business, Duke University. His research interests include manufacturing/marketing interface, management of distribution channels, marketing of durable goods, product line, and product design. Rajeev Kohli (“ The Design of Durable Goods ”) is the Ira Leon Rennert Professor of Business, and Chairman of the Marketing Division, at the Graduate School of Business, Columbia University. His research interests include product design and development, pricing, mathematical models of consumer preference structures, design and analysis of algorithms, and marketing and policy issues in emerging markets. His papers on these topics have appeared in the leading industry journals. Eunkyu Lee (“ Internet Channel Entry: A Strategic Analysis of Mixed Channel Structures ”) is an associate professor of marketing at the Whitman School of Management, Syracuse University. He holds a Ph.D. in marketing from Duke University and previously taught at Seattle University and the University of British Columbia. His research interests include marketing channel strategy, store brand management, market competition strategy, and consumer survey methodology. Ricardo Montoya (“ The Design of Durable Goods ”) is an assistant professor at the Industrial Engineering Department, University of Chile, Santiago. He received a Ph.D. in marketing from the Columbia Business School, Columbia University. He holds a bachelor's degree in engineering and an M.S. in operations management from the University of Chile. His research interests include dynamic choice models, optimal product design, and the long-term impact of marketing actions. His methodological interests lie in Bayesian econometrics, hidden Markov models, and stochastic dynamic programming. Elie Ofek (“ ‘Bricks and Clicks’: The Impact of Product Returns on the Strategies of Multichannel Retailers ”) 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 input can impact innovation strategy and on how firms can leverage novel technologies or major trends to deliver value to customers. He is an associate editor for Management Science and serves on the editorial boards of Marketing Science, the Journal of Marketing Research, and the International Journal of Research in Marketing. Miklos Sarvary (“ ‘Bricks and Clicks’: The Impact of Product Returns on the Strategies of Multichannel Retailers ”) is a professor of marketing at INSEAD. Prior to his current position, he was a faculty member at the Harvard Business School and the Graduate School of Business at Stanford University. He has a Ph.D. in management from INSEAD. His current research focuses on social networks and new media (metaverses) and how these technologies transform marketing. His recent papers study media competition, online advertising, the structure of the Internet, and techniques related to “community management.” Previously, he did work on information marketing, the worldwide pricing of cellular telephone services, and the global diffusion of telecommunications products. He is an associate editor for Marketing Science and Quantitative Marketing and Economics and a member of the editorial boards of the International Journal of Research in Marketing and the Journal of Interactive Marketing. Ron Shachar (“ Brands: The Opiate of the Nonreligious Masses? ”) is a professor of marketing at Tel Aviv University, where he also serves as the chairperson of the marketing group. He also has a visiting position at Duke University's Fuqua School of Business since 2005. His research interests include advertising, branding, choice modeling, the entertainment industries, identity marketing, and political marketing. He serves as an AE for the Journal of Marketing Research and Quantitative Marketing and Economics and on the editorial boards of Marketing Science and the International Journal of Research in Marketing. Michael S. Smith (“ Modeling Multivariate Distributions Using Copulas: Applications in Marketing ”; “ Rejoinder—Estimation Issues for Copulas Applied to Marketing Data ”) is currently the Chair of Management (Econometrics) at the Melbourne Business School. His research is focused on the development of Bayesian methodology and its application to problems in economics, business, and the physical sciences. Specifically, he has worked on high-dimensional model averaging and its use in semiparametric regression, covariance matrix estimation, time-series estimation, and spatial modeling. He has held visiting appointments at the Universities of Munich, Pennsylvania, and Texas. David A. Soberman (“ Preview Provision Under Competition ”) is the Canadian National Chair in Strategic Management and Professor of Marketing at the Rotman School of Management at the University of Toronto. 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. He has received awards for his research including the International Journal of Research in Marketing 2006 Best Paper Award and the INFORMS 2000 John D. C. Little Best Paper Award. He is an area editor for the International Journal of Research in Marketing and a member of the Marketing Science editorial board. Prior to academia, he held a number of positions in marketing management, sales, and engineering with Molson Breweries, Nabisco Brands Ltd., and Imperial Oil Ltd. Kannan Srinivasan (“ Cross-Market Discounts ”) is the Rohet Tolani Distinguished Professor of International Business and H.J. Heinz II Professor of Management, Marketing and Information Systems at the Tepper School of Business at Carnegie Mellon University. He is currently an area editor for Marketing Science and Quantitative Marketing and Economics and an associate editor for Management Science. He has published over 50 papers in leading journals. Nobuhiko Terui (“ The Effect of Media Advertising on Brand Consideration and Choice ”) is a professor at the Graduate School of Economics and Management, Tohoku University (Japan). His current research interests are in the modeling of nonlinear responses of heterogeneous consumers, dynamic marketing models, and related decision problems. Yi Xiang (“ Preview Provision Under Competition ”) is an assistant professor of marketing at The Hong Kong University of Science and Technology. He received his Ph.D. and M.S. in management from INSEAD (Fontainebleau, France) and a B.Eng. from Tsinghua University (Beijing, China). His research focuses on media competition, media strategy, information efficiency, consumer processing, and advertising. Prior to his academic career, he held a number of marketing and managerial positions at BaoSteel and Bekaert in Shanghai. Weon Sang Yoo (“ Internet Channel Entry: A Strategic Analysis of Mixed Channel Structures ”) is an assistant professor of marketing at Korea University. He received his B.A. in economics from Korea University, an MBA from the George Washington University, and Ph.D. in business administration from the University of British Columbia. He previously taught at Singapore Management University and Hanyang University. His current research interests include distribution channel management, emerging marketing channels, and competitive marketing strategies. Juanjuan Zhang (“ The Perils of Behavior-Based Personalization ”) is the Class of 1948 Career Development Professor and an assistant professor of marketing at the MIT Sloan School of Management. She holds a B.Econ. from Tsinghua University and a Ph.D. in business administration from the University of California, Berkeley. She studies observational learning and its implication for marketers. She is also interested in how market information interacts with firms' product strategies. Her recent research explores why firms would continue bad products in spite of negative market feedback, why product personalization may damage profits, and how companies should manage consumers' self-discovery of their preferences.
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