Focus on Authors
Yashoda Bhagwat (“Assessing the Influence of Economic and Customer Experience Factors on Service Purchase Behaviors”) is a doctoral candidate at Georgia State University. She received her B.A. in political science from the University of Michigan and her M.S. in marketing from the University of Alabama. Her research interests fall under the umbrella of customer relationship management and she takes a particular interest in solving problems for managers.
Bernard Caillaud (“Strategic Loyalty Reward in Dynamic Price Discrimination”) is a professor with an associate chair at the Paris School of Economics, and a senior researcher at Ecole des Ponts ParisTech. After his Ph.D. from MIT, he became a tenured researcher at CEPREMAP and at CERAS. He has been the director of CERAS, and the first director of PjSE (research unit of Paris School of Economics). He has published articles in contract theory, economics of information, and industrial organization in top generalist journals (Econometrica, AER, Quarterly Journal of Economics, Review of Economic Studies), and in top field journals (Journal of Economic Theory, RAND Journal of Economics, Journal of Public Economics). He has been chief editor of the International Journal of Industrial Organization, and he has obtained the bronze medal of CNRS.
Romain De Nijs (“Strategic Loyalty Reward in Dynamic Price Discrimination”) is an associate member of the Paris School of Economics, and a researcher at Ecole des Ponts ParisTech. After a Ph.D. in economics from Ecole des Ponts ParisTech, he spent one year as a postdoctoral scholar at the Haas School of Business, University of California, Berkeley.
Mercedes Esteban-Bravo (“Valuing Customer Portfolios with Endogenous Mass and Direct Marketing Interventions Using a Stochastic Dynamic Programming Decomposition”) is an associate professor of marketing in the department of business administration and program director of Master’s in Marketing at Universidad Carlos III de Madrid. She holds a degree in mathematics, specialized in operations research, and a Ph.D. in economics. Her research interests are primarily marketing modeling and business analytics, such as CRM planning, optimal budget allocation accounting for risk, acceleration strategies, and optimal design of conjoint experiments. In adition, her methodological research has appeared in the Journal of Economic Dynamics and Control, Journal of the Operational Research Society, Computers and Mathematics with Applications, and Computational Statistics and Data Analysis.
Tingliang Huang (“Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling”) is an assistant professor of operations management in the Lally School of Management at Rensselaer Polytechnic Institute. He received a master’s degree in industrial and systems engineering from the University of Minnesota, Twin Cities, and a Ph.D. in operations management from the Kellogg School of Management, Northwestern University. His research interests include consumer bounded rationality, marketing and operations management interfaces, and business analytics. His research has appeared in top academic journals. He was in the department of management science and innovation at the University College London.
Baojun Jiang (“Signaling Through Pricing by Service Providers with Social Preferences”) is an assistant professor of marketing at the Olin Business School at Washington University in St. Louis. He received a B.A. in economics and physics from Grinnell College, an M.S. in physics and an M.S. in electrical engineering from Stanford University, an M.B.A. from the University of Texas at Austin, and an M.S. and Ph.D. in industrial administration from Carnegie Mellon University. His research interests include signaling, pricing, platform-based business models, innovations, competitive strategies, and behavioral economics. His research has been published in Marketing Science.
Kihyun Hannah Kim (“Assessing the Influence of Economic and Customer Experience Factors on Service Purchase Behaviors”) is a doctoral student in marketing at J. Mack Robinson College of Business, Georgia State University. She received her B.B.A. and M.B.A. from the Ewha Womans University, and her M.S. in marketing from Georgia State University. Her research focuses on using empirical models to find managerial applications in customer relationship management and business to business marketing.
Dmitri Kuksov (“The Bright Side of Loss Aversion in Dynamic and Competitive Markets”) is a professor of marketing at the Naveen Jindal School of Management at the University of Texas at Dallas. He holds a Ph.D. in marketing from the Haas School of Business, 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, Journal of Marketing Research, and Journal of Economic Theory; he is an associate editor of Marketing Science and Management Science, and a co-editor of Quantitative Marketing and Economics. He received the 2005 Frank M. Bass Dissertation Award. Three of his papers were finalists for the John D.C. Little Award, and one was a finalist for the INFORMS 2012 Long Term Impact Award.
V. Kumar (“Assessing the Influence of Economic and Customer Experience Factors on Service Purchase Behaviors”) is the regents professor; Chang Jiang Scholar; Richard and Susan Lenny Distinguished Chair and Professor in Marketing; executive director, Center for Excellence in Brand and Customer Management; director, Ph.D. program in Marketing, J. Mack Robinson College of Business, Georgia State University. He has been recognized with seven lifetime achievement awards in marketing strategy, interorganizational issues, retailing, business to business marketing, and marketing research from the AMA and other professional organizations. He has also received the Paul D. Converse Award, the Sheth Foundation/Journal of Marketing Long Term Impact Award, the Robert Buzzell Award, the Davidson Award, the Paul H. Root Award, the Don Lehmann Award, and the Gary L. Lilien ISMS-MSI Practice Prize Award. His books include Managing Customers for Profit, Customer Relationship Management (CRM), Customer Lifetime Value, Marketing Research, Profitable Customer Engagement, Statistical Methods in CRM, and International Marketing Research; he was chosen as a legend in Marketing where his work is published in a 10 volume encyclopedia with commentaries from scholars worldwide. He led the marketing science to marketing practice initiative at the ISMS and has worked with Global Fortune 1000 firms including IBM, Proctor & Gamble, Prudential, ING, HSBC, ICICI, and Polo Ralph Lauren to maximize their profits.
Jian Ni (“Signaling Through Pricing by Service Providers with Social Preferences”) is an assistant professor of marketing at Johns Hopkins Carey Business School, with joint appointment in the economics department. He received his doctoral degree from Tepper School of Business at Carnegie Mellon University. His research focuses on empirical and theoretical studies of consumer choices and firm behavior.
Peter E. Rossi (“Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications”) is the James Collins Professor of Marketing, Economics, and Statistics at the Anderson School of Management, UCLA. He received his Ph.D. from the University of Chicago and B.A. from Oberlin College. He has published widely in marketing, economics, statistics, and econometrics, and these articles have more than 10,000 Google Scholar cites. He is a co-author of Bayesian Statistics and Marketing, and author of Bayesian Semi and Non-parametric Methods in Marketing and Micro-Econometrics; also he is the author of the contributed R package, bayesm, which is part of the R core, and implements many methods useful in marketing and micro-econometrics. He is a fellow of the American Statistical Association and Journal of Econometrics.
Qiaowei Shen (“A Dynamic Model of Entry and Exit in a Growing Industry”) is an assistant professor of marketing at the Wharton School, University of Pennsylvania. She received her Ph.D. in marketing from the Haas School of Business, University of California, Berkeley, and her M.A. and B.A. in economics from Peking University. Her research interests include empirical modeling of firm decision making, market entry and exit, emerging market, and competitive strategy.
Kannan Srinivasan (“Signaling Through Pricing by Service Providers with Social Preferences”) is the H.J. Heinz II Professor of Management, Marketing, and Information Systems at Carnegie Mellon University. He is also the Rohet Tolani Distinguished Professor of International Business. He has published nearly 70 papers in leading marketing, management, and statistics journals, and holds several patents. He is a fellow and a former president of the INFORMS Society of Marketing Science.
Nita Umashankar (“Assessing the Influence of Economic and Customer Experience Factors on Service Purchase Behaviors”) is an assistant professor of marketing at the J. Mack Robinson College of Business at Georgia State University. She received her B.B.A. in marketing and entrepreneurship and B.S. in molecular and cellular biology from the University of Arizona, and her M.A. and Ph.D. in marketing from the University of Texas at Austin. Her research primarily focuses on services marketing in the areas of service innovation, customer service, non-profit services, and service management. She teaches marketing research and business intelligence in the part-time and executive MBA programs.
Jose M. Vidal-Sanz (“Valuing Customer Portfolios with Endogenous Mass and Direct Marketing Interventions Using a Stochastic Dynamic Programming Decomposition”) is associate professor of marketing at Universidad Carlos III de Madrid. He is an economist, initially specialized in econometric theory and applied mathematics, who works in marketing modeling and business analytic problems. His recent marketing research has been focused on optimal planning of promotions, spatial analysis of retailers, financial valuation of marketing decisions, optimal CRM planning, and optimal budget allocation minimizing risk measures. He has also published methodological research articles in journals such as Annals of the Institute of Statistical Mathematics, Bernoulli Journal, Computational Statistics and Data Analysis, Computers and Mathematics with Applications, the Journal of Economic Dynamics and Control, and the Journal of Multivariate Analysis.
Kangkang Wang (“The Bright Side of Loss Aversion in Dynamic and Competitive Markets”) is an assistant professor at the Alberta School of Business, University of Alberta. She received her Ph.D. in marketing from Washington University in St. Louis. Her research interests include quantitative marketing, pricing, advertising, and social utility of consumption.
Gökhan Yildirim (“Valuing Customer Portfolios with Endogenous Mass and Direct Marketing Interventions Using a Stochastic Dynamic Programming Decomposition”) is assistant professor of marketing at Lancaster University Management School. He received his Ph.D. in business administration and quantitative methods with a major in marketing from Universidad Carlos III de Madrid. His research interests lie in strategic marketing problems such as long-term marketing effectiveness and marketing resource allocation.
Yimin Yu (“Sell Probabilistic Goods? A Behavioral Explanation for Opaque Selling”) is an assistant professor in the department of management sciences, College of Business at City University of Hong Kong. He received his Ph.D. in industrial engineering from the University of Minnesota, Twin Cities. He conducts research in different areas of operations management, with an emphasis on inventory management, revenue management, and the marketing-operations interface. His papers have been accepted by top academic journals.

