Focus On Authors

    Published Online:https://doi.org/10.1287/mksc.2015.0951

    Terrence August (“Optimal Timing of Sequential Distribution: The Impact of Congestion Externalities and Day-and-Date Strategies”) is an associate professor of innovation, technology, and operations management at the Rady School of Management, University of California, San Diego. His research interests broadly span information systems and operations management, including the economics of software, production and service management, and pricing and policy associated with information goods. Currently, as part of a National Science Foundation supported research project, he is examining the control of information security risk using economic incentives.

    Alexander Bleier (“Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where”) is an assistant professor of marketing at the Carroll School of Management at Boston College. He obtained his Ph.D. from the University of Cologne.

    Tat Y. Chan (“The Economic Value of Online Reviews”) is an associate professor of marketing at the Olin Business School, Washington University in St. Louis. He received his doctoral degree in economics from Yale University. His recent research focuses on the empirical studies of consumer choices and firm competition. His research has appeared in journals such as the RAND Journal of Economics, Journal of Political Economy, Marketing Science, and Journal of Marketing Research.

    Hai Che (“The Economic Value of Online Reviews”) is an associate professor of marketing at the Kelley School of Business, Indiana University. He received his doctoral degree from the Olin Business School, Washington University in St. Louis. His primary research areas include marketing research, data-driven marketing strategies, competitive pricing and advertising strategies, structural empirical models, and behavioral economics. His research has appeared in journals such as Marketing Science, Journal of Marketing Research, Quantitative Marketing and Economics, and Marketing Letters.

    Tony Haitao Cui (“Service Failure Recovery and Prevention: Managing Stockouts in Distribution Channels”) is an associate professor of marketing at the Carlson School of Management, University of Minnesota. He obtains a B.Eng. in fluid machinery and fluid engineering, a B.Eng. in industrial engineering, and an IMBA in international business, all from Tsinghua University, and holds an M.S. in operations and information management and a Ph.D. in managerial science and applied economics, both from the Wharton School. His research focuses on behavioral modeling in marketing, behavioral and experimental economics, competitive strategies, distribution channels, pricing, and marketing-operations interfaces. His research has appeared in Marketing Science and Management Science.

    Duy Dao (“Optimal Timing of Sequential Distribution: The Impact of Congestion Externalities and Day-and-Date Strategies”) is a Ph.D. student at the Rady School of Management, University of California, San Diego. His research interests span operations management, supply chain management, and the economics of information systems. Specifically, he is interested in risk management in supply networks, security risks in information systems, and channel management in the motion picture industry.

    Yan Dong (“Service Failure Recovery and Prevention: Managing Stockouts in Distribution Channels”) teaches supply chain management at the Darla Moore School of Business, University of South Carolina. He was a business consultant for IBM Global Services in supply chain management. His research interests focus on the interface between marketing and operations, in particular supply chain governance and relationships. His work has appeared in journals such as Management Science, Production and Operations Management, Journal of Operations Management, and Decision Sciences.

    Maik Eisenbeiss (“Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where”) is a professor of marketing at the University of Bremen. Previously, he worked as an assistant professor at the University of Cologne. He obtained his Ph.D. from the University of Münster.

    Guofang Huang (“Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management”) is an assistant professor of marketing at the Tepper School of Business at Carnegie Mellon University. He received his Ph.D. in economics from Johns Hopkins University. He was a post-doctoral fellow at the Yale School of Management. His current research is focused on the pricing strategy for idiosyncratic products, incentive contracts and employee performance, and semi-parametric estimation of production functions.

    Sunder Kekre (“The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter”) is the Bosch Professor of Manufacturing and Operations at the Tepper School of Business and Director of the PNC Center for Financial Services Innovation at Carnegie Mellon University. His research interests are in areas such as new product development structures and time to market, strategic costing of product designs, lean innovation, and emerging global supply chains. Some of his recent work examines issues such as knowledge sharing in enterprise networks, impact of incentives and information on channel performance and business analytics for customer service, and innovation in coordinated demand and supply chains.

    Ahmed Khwaja (“Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management”) is an assistant professor of marketing at the Yale School of Management and a research fellow at the Yale Center for Customer Insights. He received his Ph.D. in economics from the University of Minnesota; prior to joining the Yale School of Management he taught at Duke University’s Fuqua School of Business and was also a visiting scholar at the University of Pennsylvania. His research interests are broadly in the area of marketing strategy and health care. His research explores diverse topics ranging from time inconsistency in health related consumption decisions, experience spillovers and dynamics in pharmaceutical entry and retail chain expansion, firm alliances in pharmaceutical innovation, consumer willingness to pay for insurance, and the link between employee engagement and sales productivity. His methodological interests include dynamic games of firm strategy, dynamics of consumer choices, asymmetric information and incomplete markets, and simulation based econometrics.

    Shibo Li (“An Empirical Analysis of Consumer Purchase Decisions under Bucket-Based Price Discrimination”) is an associate professor of marketing and Weimer Faculty Fellow at the Kelley School of Business, Indiana University. He received a Ph.D. in industrial administration (marketing) from Carnegie Mellon University. His research interests are consumer dynamics, analytical customer relationship management, and digital marketing. His research has appeared in Marketing Science, Journal of Marketing Research, Journal of Marketing, Information Systems Research, Journal of the Academy of Marketing Science, and Journal of Interactive Marketing.

    Xianghua Lu (“The Economic Value of Online Reviews”) is an associate professor of information management and information systems at the School of Management, Fudan University. She received her doctoral degree from Fudan University. Her research interests include Internet marketing, e-commerce, virtual communities, and information technology management. Her research has appeared in journals such as Information Systems Research and Marketing Science.

    Liye Ma (“The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter”) is an assistant professor of marketing at the Robert H. Smith School of Business at the University of Maryland. He obtained his Ph.D. from the Tepper School of Business at Carnegie Mellon University. His research focuses on the dynamic interactions of firms and consumers in online social media and those mediated by mobile and Internet technologies. He uses quantitative models to investigate the drivers of consumer actions in these emerging areas, and uses the findings to help firms optimize marketing strategies.

    Jian Ni (“Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel”) is an assistant professor of marketing at Johns Hopkins Carey Business School, with a joint appointment in the economics department. He received his doctoral degree from the Tepper School of Business at Carnegie Mellon University. His research focuses on empirical and theoretical studies of consumer choices and firm behavior. His research has been funded by grants received from the National Science Foundation, National Institute of Health, and the Center for Global Health, among others.

    Hyoduk Shin (“Optimal Timing of Sequential Distribution: The Impact of Congestion Externalities and Day-and-Date Strategies”) is an assistant professor of innovation, technology, and operations management at the Rady School of Management, University of California, San Diego. His research interests are in the areas of supply chain management and information systems, including demand forecasting, collaboration and information sharing in supply chains, the economics of software, and channel management and product release strategies in the motion picture industry.

    Kannan Srinivasan (“Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel”) is the H. J. Heinz II Professor of Management, Marketing, and Business Technologies and Rohet Tolani Distinguished Professor of International Business at the Tepper School of Business, Carnegie Mellon University. He has published over 60 papers in leading management and statistics journals. He is an associate editor of Management Science, area editor of Quantitative Marketing and Economics, editorial board member of Journal of Marketing Research, and an advisory board member of Marketing Science. He is a fellow of the INFORMS Society for Marketing Science and was the president of the society.

    K. Sudhir (“Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management”) is the James L. Frank Professor of Marketing, Private Enterprise and Management and Director of the China India Insights Program at the Yale School of Management; he also holds a secondary appointment at Yale’s department of economics. He received his Ph.D. from Cornell University and was an assistant professor at New York University’s Stern School. He leads the quantitative academic—industry research partnerships with various Fortune 500 firms at the Yale Center for Customer Insights. He has published over 30 papers across leading marketing and management journals; although his primary contributions are in the structural empirical industrial organization literature in marketing, his research spans a range of substantive topics and methodological approaches; substantively, he is currently pursuing a research agenda on emerging markets. His papers have received the Little and Bass Awards at Marketing Science, the Lehmann Award at Journal of Marketing Research and have been finalists/honorable mentions for the Green Award at Journal of Marketing Research, the Wittink Award at Quantitative Marketing and Economics, and International Journal of Research in Marketing best paper award; two of his dissertation papers were nominated to the final 10 for the ISMS Long-Term Impact Award from 2009 to 2011.

    Baohong Sun (“The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter” and “An Empirical Analysis of Consumer Purchase Decisions under Bucket-Based Price Discrimination”) is the Dean’s Distinguished Chair Professor of Marketing and Associate Dean of Global Programs at the Cheung Kong Graduate School of Business (New York). She develops empirical models to study rational consumer choice, evaluate promotion effect, and measure impact on short-term and long-term sales. Her recent works investigate consumer response to cross-selling campaigns, service allocation, optimal design of insurance pricing, and dynamic customer relationship management. Currently, she is interested in studying the economics foundation of consumer networking behavior. Her recent research focuses on studying dynamic consumer behavior on digital platforms.

    Yacheng Sun (“An Empirical Analysis of Consumer Purchase Decisions under Bucket-Based Price Discrimination”) is an assistant professor of marketing at the Leeds School of Business, University of Colorado at Boulder. He received a Ph.D. in marketing from Indiana University. His research interests include pricing, customer reward programs, customer win-back, online matching platforms, and online social media. His work has appeared in Marketing Science and Journal of Consumer Research.

    Chunhua Wu (“The Economic Value of Online Reviews”) is an assistant professor of marketing and behavioral science at the Sauder School of Business, University of British Columbia. He received his doctoral degree from the Olin Business School, Washington University in St. Louis. His recent research focuses on online advertising networks, e-commerce markets, online and offline price competition, and global outsourcing. His research has appeared in Marketing Science.

    Kefeng Xu (“Service Failure Recovery and Prevention: Managing Stockouts in Distribution Channels”) is an associate professor in the College of Business, University of Texas at San Antonio. He joined the University of Texas at San Antonio after completing his Ph.D. in business administration with double majors in operations management and logistics/transportation from the University of Maryland at College Park. His areas of expertise and research interests include information sharing, incentive, and coordination issues in supply chain, and logistics, service and manufacturing strategy, among others. His works have appeared in a variety of journals such as the Journal of International Business Studies, Journal of Management Information Systems, Decision Sciences, Transportation Research, and Journal of Business Logistics.

    Yuliang Yao (“Service Failure Recovery and Prevention: Managing Stockouts in Distribution Channels”) is an associate professor in the College of Business and Economics at Lehigh University. His research interests are in the interdisciplinary fields of information systems and supply chain management, including business value of information technology-enabled supply chains, economics of e-commerce, social networks, vendor managed inventory, collaborative planning, forecasting and replenishment, and customer relationship management. His publications have appeared in Management Science, Information Systems Research, Journal of Operations Management, Production and Operations Management,Decision Sciences, and Supply Chain Management Review.