Focus on Authors

Abstract

Paulo Albuquerque (“ Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content ”) is an assistant professor of marketing at the Simon Graduate School of Business, University of Rochester. He holds a Ph.D. in management from the UCLA Anderson School of Management. He is currently interested in competition and consumer behavior in online markets, new product diffusion across markets, and spatial competition models. He was named a 2011 MSI Young Scholar, and his articles have appeared in Marketing Science, the Journal of Marketing Research, and Management Science. Udi Chatow (“ Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content ”) is a program and research manager at Hewlett-Packard (HP) Labs and a lead on MagCloud.com incubation, which he cofounded. He earned bachelor's and master's degrees in physics and medical physics from Tel Aviv University and an EMBA from Kellogg/Tel Aviv University in their international program. Since joining HP Labs in July 2005, he has led and supported several Web-to-print services and incubations; he previously spent 17 years at HP-Indigo, where he held various research and development positions such as research scientist, project manager, section manager, and director. He has over 30 patents awarded and is active in the information systems and technology organization and in nonimpact printing conferences. Kay-Yut Chen (“ Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content ”) is a principal scientist at Hewlett-Packard (HP) Labs. He started behavioral economics research at HP Labs, a first in a corporation, after he received his Ph.D. from Caltech in 1994. He has pioneered the application of behavior economics to business issues in areas such as supply chain contracting and human-based forecasting, and his work has been featured in many popular publications such as Scientific American, Newsweek, the Wall Street Journal, and the Financial Times. He is the author of the book The Secrets of the Moneylab: How Behavioral Economics Can Improve Your Business, published by Portfolio in October 2010. Theodoros Evgeniou (“ Content Contributor Management and Network Effects in a UGC Environment ”) is an associate professor of decision sciences and technology management at INSEAD, Fontainebleau. His current research interests include preference measurement methods and market research, social networks, machine learning, and data analytics for marketing. He has published more than 30 top academic journal and conference papers. Moshe Fresko (“ Mine Your Own Business: Market-Structure Surveillance Through Text Mining ”) is a consulting expert on the topics of text mining, data mining, natural language programming, and machine learning. He holds a B.A. and an M.A. in computer engineering from Boğaziçi University, Istanbul, Turkey, and he received his Ph.D. in computer science from Bar-Ilan University, Israel. Between 2001 and 2010, he worked as a researcher and lecturer at Bar Ilan's Computer Science department, studying text mining, data mining, natural language programming, and machine learning, as well as teaching several programming-related courses; between 2007 and 2008, he worked as a visiting researcher and lecturer at the School of Business Administration at the Hebrew University of Jerusalem. He was active in the founding and progress of two text-mining related start-up companies. Ronen Feldman (“ Mine Your Own Business: Market-Structure Surveillance Through Text Mining ”) currently serves as the Head of the Internet Studies Department at the School of Business Administration of the Hebrew University of Jerusalem. He received his Ph.D. in computer science from Cornell University and his B.Sc. in math, physics, and computer science from the Hebrew University of Jerusalem. In 1997, he founded ClearForest, a Boston-based business intelligence company later acquired by Reuters. He coined the term “text mining” in 1995 and wrote the textbook The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data (Cambridge University Press, 2007); he has given over 30 tutorials on text mining and information extraction and has written numerous scholarly papers on these topics. Anindya Ghose (“ Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content ”) is an associate professor in the Department of Information, Operations, and Management Sciences at the Stern School of Business of New York University. He received his Ph.D. from Carnegie Mellon University. His expertise is in analyzing how the massive amount of data generated by technological advances such as the Internet and mobile phones can influence marketing and advertising decisions, and his recent research interests include social media, mobile Internet, crowdfunding, Internet marketing, and digital advertising. He has received multiple best paper awards at premier conferences and journals, is a 2011 MSI Young Scholar, and is also a recipient of a National Science Foundation CAREER Award. David Godes (“ Sequential and Temporal Dynamics of Online Opinion ”) is an associate professor in the Marketing Department at the Robert H. Smith School of Business, University of Maryland. He received a B.S. in economics from the University of Pennsylvania and an S.M. and Ph.D. in management science from the Massachusetts Institute of Technology. His research interests include word-of-mouth communication, social networks, media competition, and sales management. His work has appeared in Marketing Science, Management Science, Quantitative Marketing and Economics, and the Harvard Business Review. Jacob Goldenberg (“ Mine Your Own Business: Market-Structure Surveillance Through Text Mining ”) 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 social networks effects, and social media. He has published papers in the Journal of Marketing, the Journal of Marketing Research, Management Science, Marketing Science, Nature Physics, and Science; in addition, he is an author of two books by the Cambridge University Press and one by the Chicago Press. His scientific work has been covered by the New York Times, the Wall Street Journal, the Boston Globe, the BBC News Harold Tribune, the Economist, and Wired Magazine. Rajdeep Grewal (“ User-Generated Open Source Products: Founder's Social Capital and Time to Product Release ”) is the Irving & Irene Bard Professor of Marketing at the Smeal College of Business at the Pennsylvania State University and is also the Associate Research Director of the Institute for the Study of Business Markets at the Smeal College of Business. He received his Ph.D. from the University of Cincinnati in 1998. His research focuses on empirical modeling of strategic marketing issues and has appeared in the top field journals. He has received several awards for his research, including a doctoral dissertation award from the Procter & Gamble Market Innovation Research Fund, an honorable mention award at the prestigious MSI/Journal of Marketing competition on “Linking Marketing to Financial Performance and Firm Value,” the 2003 Young Contributor Award from the Society of Consumer Psychology for his article in the Journal of Consumer Psychology, and the AMA Marketing Strategy SIG Early Career Award in 2007. Panagiotis G. Ipeirotis (“ Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content ”) is an associate professor in the Department of Information, Operations, and Management Sciences at the Stern School of Business of New York University. He received his Ph.D. degree in computer science from Columbia University in 2004, with distinction. His recent research interests focus on crowdsourcing and on mining user-generated content on the Internet. He has received three best paper awards (International Conference on Data Engineering 2005, ACM Special Interest Group on Management of Data 2006, and International World Wide Web Conference 2011), two best paper runner-up awards (Joint Conference on Digital Libraries 2002 and ACM Knowledge Discovery and Data Mining Conference 2008), and is also a recipient of a CAREER Award from the National Science Foundation. Zainab Jamal (“ Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content ”) is a research scientist at Hewlett-Packard Labs. She holds a Ph.D. in marketing science from the University of California, Los Angeles. Her area of focus is in developing econometric and statistical models to understand and predict customer response behavior; this area feeds into the broader research stream of enabling businesses to optimize their marketing operations through analytical technologies in the backdrop of major paradigm shifts in the landscape such as personalized marketing. She brings deep industry experience to her research expertise, having worked in different roles in brand management and product development after receiving her master's in economics (Delhi School of Economics) and an MBA (Indian Institute of Management, Ahmedabad). Gerald C. Kane (“ Network Characteristics and the Value of Collaborative User-Generated Content ”) is an assistant professor of information systems at Boston College's Carroll School of Management. He received his Ph.D. from the Goizueta Business School of Emory University and his MBA in computer information systems from Georgia State University. His research interests include exploring the role of information systems in social networks, organizational applications and implications of social media, and the use of information technology in healthcare organizations; his published research has appeared in such journals as MIS Quarterly, Information Systems Research, Organization Science, and the Harvard Business Review. He is a recent recipient of a CAREER Award from the National Science Foundation for research on using social media to manage knowledge. Beibei Li (“ Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content ”) is a Ph.D. candidate in the Department of Information, Operations, and Management Sciences at the Stern School of Business, New York University. Her research interests lie at the intersection of economics of information technology, quantitative modeling, and machine learning; she is especially interested in the areas related to social media, search engines, and digital marketing. Recently, she received the Best Paper Award at the 20th International World Wide Web Conference (WWW 2011). She will be joining the Heinz College at Carnegie Mellon University in the fall of 2012 as an assistant professor. Gary Lilien (“ User-Generated Open Source Products: Founder's Social Capital and Time to Product Release ”) is the Distinguished Research Professor at Pennsylvania State University and cofounder and research director of the Institute for the Study of Business Markets ( http://www.isbm.org ). He is the author or coauthor of 12 books and over 100 professional articles. He is the former President as well as Vice President/Publications for The Institute of Management Sciences, the Vice President for External Relations and a Fellow of the European Marketing Academy, and is also the Vice President, External Relations for the INFORMS Society for Marketing Science (ISMS). He is an inaugural INFORMS Fellow, an Inaugural ISMS Fellow, was honored as a Morse Lecturer for INFORMS, and also received the Kimball Medal from INFORMS for distinguished contributions to the field of operations research; in 2010, the ISMS-MSI Practice Prize for the best applied work in marketing science globally was renamed the Gary Lilien ISMS-MSI Practice Prize in his honor. Nicholas H. Lurie (“ Network Characteristics and the Value of Collaborative User-Generated Content ”) is the ING Global Professor and associate professor of marketing at the University of Connecticut at Storrs. He received his Ph.D. from the Haas School at the University of California at Berkeley, his MBA from the Kellogg School at Northwestern University, and his A.B. from Vassar College. He conducts research on how consumers search for information and make decisions in information-rich environments, and his research has been published or is forthcoming in the Journal of Consumer Research, the Journal of Marketing Research, Marketing Science, the Journal of Marketing, and Organizational Behavior and Human Decision Processes. His article “Decision Making in Information Rich Environments: The Role of Information Structure” won the Ferber Award for the best article in the Journal of Consumer Research based on a doctoral dissertation. Girish Mallapragada (“ User-Generated Open Source Products: Founder's Social Capital and Time to Product Release ”) is an assistant professor of marketing at the Kelley School of Business at Indiana University. He received his Ph.D. in marketing from the Pennsylvania State University, and his primary research focus is on the topics of open innovation, social networks, marketing channels, and patent pools. His research on open source social networks has appeared in Management Science. He was on the editorial board of Marketing Science in 2007 and has served as a reviewer for Marketing Science, Information Systems Research, Management Science, the Journal of Marketing, and the Journal of Interactive Marketing; he also serves on the advisory board of Content Syndicate, a content syndication platform provider. Wendy W. Moe (“ Online Product Opinions: Incidence, Evaluation, and Evolution ”) is an associate professor of marketing at the Robert H. Smith School of Business at the University of Maryland. She earned her Ph.D., M.S., and B.S. from the Wharton School of the University of Pennsylvania and has her MBA from Georgetown University. She is an expert in the area of online behavior and early sales forecasting. Her research has focused on developing statistical methods and models for Internet clickstream data, online advertising, social media/user-generated content, and entertainment sales (e.g., sales of music, event tickets). Oded Netzer (“ Mine Your Own Business: Market-Structure Surveillance Through Text Mining ”) is the Phillip H. Geier Jr. Associate Professor of Business at Columbia University. He received an M.Sc. in statistics and a Ph.D. in business, both from Stanford University, and he also holds a B.Sc. in industrial engineering and management from the Technion (Israel Institute of Technology). His research interests focus on modeling customer relationships, preference measurement methods, and modeling various aspects of choice behavior, including how choices change over time, contexts, and customers; his research has appeared in Marketing Science, the Journal of Marketing Research, Marketing Letters, and the Journal of Consumer Psychology. He is the recipient of the John D. C. Little Award, the Frank M. Bass Award, and the Society of Consumer Psychology Best Competitive Paper Award. V. Padmanabhan (“ Content Contributor Management and Network Effects in a UGC Environment ”) is the John H. Loudon Professor of International Management at INSEAD, Singapore. His current research interests include the implications of economic crises, business opportunities and challenges in developing economies, and social networks. His research has generated numerous honors, including recognition as among the top 10 most influential papers published in the 50 years of publication of Management Science (1954–2004). Polykarpos Pavlidis (“ Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content ”) is currently a Ph.D. candidate in marketing at the Simon Graduate School of Business, University of Rochester. He holds a university degree in economics and a postgraduate degree in business administration from the University of Macedonia, Greece, as well as an M.Sc. in applied economics from the University of Rochester. He has presented his research at the Marketing Science Conference, the Marketing Dynamics Conference, and at various universities. He has worked in the sector of consumer packaged goods distribution, has been a research intern with Hewlett-Packard Labs, and has also taught for Simon Graduate School of Business. Sam Ransbotham (“ Network Characteristics and the Value of Collaborative User-Generated Content ”) is an assistant professor at the Carroll School of Management at Boston College. He received his Ph.D., MSM, and BChE degrees from Georgia Tech. His current research interests include information technology (IT) security, social media, and the strategic use of IT; his research has appeared in Information Systems Research, Management Science, the MIS Quarterly, and the INFORMS Journal on Computing. He was also awarded 1 of 11 inaugural Google and WPP Marketing Awards to support research into how online media influences consumer behavior, attitudes, and decision making. Emile Richard (“ Content Contributor Management and Network Effects in a UGC Environment ”) is a Ph.D. candidate at Ecole Normale Supérieure de Cachan (France) and INSEAD in the area of machine learning for e-marketing applications. He is also a research assistant at the 1000mercis Research Lab. David A. Schweidel (“ Online Product Opinions: Incidence, Evaluation, and Evolution ”) is an assistant professor of marketing at the University of Wisconsin–Madison's School of Business. He earned a B.A. in mathematics in 2001 from the University of Pennsylvania, an M.A. in statistics in 2004, and a Ph.D. in 2006 from the Wharton School of the University of Pennsylvania. His research interests are in the development of stochastic models for media and customer relationship management applications. His current research projects include examining dynamics in social media. José C. Silva (“ Sequential and Temporal Dynamics of Online Opinion ”) is an associate researcher at the Fuqua School of Business, Duke University, and a Visiting Professor at The Lisbon MBA. He has undergraduate and graduate degrees in electrical engineering and computer science and an MBA from Portuguese universities, and he has a Ph.D. in management science from the Massachusetts Institute of Technology. Before joining Duke, he taught at the University of California, Berkeley and the Washington University in St. Louis. His research interests include advanced marketing analytics, social media, customer-driven innovation, and behavioral economics, and his work has appeared in the Journal of Experimental Psychology: General, Marketing Letters, and Microprocessors and Microsystems. Kaifu Zhang (“ Content Contributor Management and Network Effects in a UGC Environment ”) is a Ph.D. student in marketing at INSEAD, Fontainebleau. His current research interests include user-generated content, Internet communities, and contextual advertising.