Focus On Authors

Greg Allenby (“Sentence-Based Text Analysis for Customer Reviews”) is the Kurtz Chair in Marketing at Ohio State University. He is a Fellow of the INFORMS Society for Marketing Science and the American Statistical Association. He is also the 2012 recipient of the AMA Parlin Award for his contributions to the field of marketing research. He is a past editor of Quantitative Marketing and Economics, and a past area/associate editor for Marketing Science, Journal of Marketing Research, and the Journal of Business and Economic Statistics.

Joachim Büschken (“Sentence-Based Text Analysis for Customer Reviews”) is a professor of marketing at Catholic University Eichstätt–Ingolstadt.

Mathew Cherian (“Do Sympathy Biases Induce Charitable Giving? The Effects of Advertising Content”) is the Chief Executive at HelpAge India. He holds a B.E. (Honors) in civil engineering from BITS, Pilani Rajasthan, and a PG Diploma in rural management from the first batch of the Institute of Rural Management, Anand (IRMA), Gujarat. After engineering, he was engaged with oil exploration, with Schlumberger and ONGC; after IRMA, he worked in the area of rural development with cooperatives, in association with the National Dairy Development Board; he has been a consultant to voluntary agencies and to the National Wastelands Development Board. His further assignments include the post of National Director, Oxfam, UK and India, Program Director, South Asia, Plan International, and Executive Director, Charities Aid Foundation; he founded Charities Aid Foundation in India, Credibility Alliance, a network for accountability, Resource Alliance (to train in fundraising) and Human Rights Network. Former Chair of Mobile Crèches, Chairperson of Credibility Alliance and Resource Alliance; also serves as a member of the NGO task force of the Planning Commission, a member of the Grants Approval Committee of the Ministry of Social Justice and Empowerment, and is a member of the Core Committee of the National Human Rights Commission. He currently serves full time as Chief Executive of HelpAge India based in New Delhi and serves on the international boards of HelpAge International and Guide Star International.

Junhong Chu (“Quantifying Cross and Direct Network Effects in Online Consumer-to-Customer Platforms”) is an associate professor of marketing at the National University of Singapore’s Business School. She received her Ph.D. in marketing and an MBA from the University of Chicago. She is interested in consumer choice and purchase behavior and the strategic interactions among firms in vertical and horizontal relationships; her research quantifies the monetary value of various marketing constructs that are of significant value to firms, consumers, and social planners; she employs both the classical approach and Bayesian approach to study two-sided markets, network effects, e-commerce, distribution channels, retail competition, high-tech markets, social interactions, networking, and emerging markets. Her research has appeared in top marketing journals; she was a 2011 Marketing Science Institute Young Scholar and won the NUS Business School Outstanding Researcher awards in 2008 and 2011. She was a faculty member at Peking University and a David Bell research fellow at the Harvard Center for Population and Development Studies.

Fred M. Feinberg (“When Random Assignment Is Not Enough: Accounting for Item Selectivity in Experimental Research”) is the Handleman Professor of Marketing at the Ross School of Business, and professor of statistics, University of Michigan. He previously taught at the University of Toronto and Duke University, having completed his Ph.D. at the MIT Sloan School of Management. His current research lies primarily in the areas of choice models, Bayesian methods, and the marketing/engineering design interface. He is a senior editor at Marketing Science, an associate editor at Journal of Marketing Research, and the co-author, with Tom Kinnear and Jim Taylor, of Modern Marketing Research: Concepts, Methods, and Cases.

P. K. Kannan (“Attribution Strategies and Return on Keyword Investment in Paid Search Advertising”) is the Ralph J. Tyser Professor of Marketing Science and Chair of the Marketing Department at the Robert H. Smith School of Business, University of Maryland at College Park. His current research stream focuses on attribution models, media mix models, multichannel and multidevice marketing, and new product/service development. He has received several grants from NSF, Mellon Foundation, and SAIC and his research has won several awards including the John Little Award, ISMS Gary Lilien Practice Prize Award, and AMA/MSI Paul Root Award. He is an associate editor for Journal of Marketing Research and a senior editor for International Journal of Research in Marketing, and serves on the editorial boards of Marketing Science, Journal of Marketing, Journal of Service Research, and Service Science. He has served as chair for the INFORMS Service Science section and the AMA SIG on Marketing Research.

Eelco Kappe (“Drug Detailing and Doctors’ Prescription Decisions: The Role of Information Content in the Face of Competitive Entry”) is an assistant professor of marketing at the Smeal College of Business, Pennsylvania State University. He received his Ph.D. from Erasmus University Rotterdam. His research interests are sales response models and econometric models to measure the effects of marketing over time. His research has been published in Marketing Science, Management Science, Psychometrika, and the International Journal of Research in Marketing.

Hongshuang (Alice) Li (“Attribution Strategies and Return on Keyword Investment in Paid Search Advertising”) is an assistant professor of marketing at the Kelley School of Business, Indiana University. She received her Ph.D. from the University of Maryland at College Park. Her primary research areas include attribution models, marketing resource allocation, multichannel marketing, and marketing measurement. Her dissertation won the 2014 MSI Alden G. Clayton Dissertation Proposal Competition and the 2014 American Academy of Advertising Dissertation Proposal Award. Her research has been published in the Journal of Marketing Research and the paper was a finalist for the 2014 Paul Green Award.

Puneet Manchanda (“Quantifying Cross and Direct Network Effects in Online Consumer-to-Customer Platforms”) is the Isadore and Leon Winkelman Professor and professor of marketing at the University of Michigan’s Ross School of Business. He holds a Ph.D. and MPhil in business from Columbia University. His research interests are broad, covering marketing and strategy questions in a wide variety of industries. From a methods point of view, he uses tools from Bayesian econometrics and empirical industrial organization. His recent work has focused on peer effects, digital marketing, services, e-commerce, social media, and platforms.

Abhishek Pani (“Attribution Strategies and Return on Keyword Investment in Paid Search Advertising”) is the Senior Director, Data Sciences and New Products at Adobe. He received his Ph.D. in operations research from the University of Maryland and joined Adobe through the acquisition of Efficient Frontier, an online advertising startup, where he headed the research and algorithms team. He heads a team of researchers, data scientists, and engineers responsible for building the core data science stack across all of Adobe’s cloud offerings. His team focuses on building products that span various domains including digital marketing, customer analytics, sales optimization, and large scale experimentation. He is also a lecturer at Stanford University where he co-teaches a course on digital marketing.

Chang Hee Park (“Investigating Purchase Conversion by Uncovering Online Visit Patterns”) is an assistant professor of marketing at the School of Management, Binghamton University. He received his Ph.D. in marketing from the Johnson Graduate School of Management at Cornell University. His research interests include customer relationship management, digital marketing, and probability models. He was a finalist in the 2011 Mary Kay Doctoral Dissertation Competition. His work has been published in the International Journal of Research in Marketing and Journal of the Royal Statistical Society: Series A.

Young-Hoon Park (“Investigating Purchase Conversion by Uncovering Online Visit Patterns”) is the Sung-Whan Suh Professor of Management and associate professor of marketing at the Johnson Graduate School of Management, Cornell University. He holds a Ph.D. in marketing from the Wharton School of the University of Pennsylvania. His primary research emphasizes the development of methods for improving marketing decisions. His research has appeared in leading marketing, management, and statistics journals, such as the Journal of Marketing Research, Management Science, Marketing Science, and Journal of the Royal Statistical Society: Series A.

Vithala R. Rao (“Anticipated vs. Actual Synergy in Merger Partner Selection and Post-Merger Innovation”) is the Deane Malott Professor of Management and professor of marketing and quantitative methods, Johnson Graduate School of Management, Cornell University. He holds a Ph.D. in applied economics/marketing from the Wharton School of the University of Pennsylvania. He has published more than 100 papers on topics including conjoint analysis and multidimensional scaling, pricing, bundle design, brand equity, market structure, corporate acquisition, and linking branding strategies to financial performance; his current work includes peer influence, competitive bundling, dynamic attribute trade-offs, and trade promotions. He has received several awards, including the 2008 Charles Coolidge Parlin Marketing Research Award, presented by the American Marketing Association and the American Marketing Association Foundation, recognizing his “outstanding leadership and sustained impact on advancing the evolving profession of marketing research over an extended period of time.” He is an ISMS Fellow.

Subroto Roy (“Do Sympathy Biases Induce Charitable Giving? The Effects of Advertising Content”) is a professor of marketing and university research scholar at the University of New Haven. Before completing his Ph.D. at the University of Western Sydney, he worked mostly as the Head of Marketing and Sales at the Indian joint venture of Tetra Pak, Sweden and the National Dairy Development Board of India after graduating from the first batch of the Institute of Rural Management, Anand (IRMA), Gujarat. His research interests include innovation, supply chain, and digital marketing and his blog, www.stratoserve .com, was awarded the inaugural CBS Most Valuable Connecticut Blogger award. He is a former president of the Institute for Supply Management (Connecticut) and vice-president of the American Marketing Association of Connecticut. His research has won awards at the American Marketing Association Educator Conferences and he sits on the editorial board of three scholarly journals and has been published in journals like the Journal of Academy of Marketing Science, Journal of Product Innovation Management, and Journal of Supply Chain Management. The current research commenced when he was a visiting scholar at the Yale School of Management during his sabbatical leave from the University of New Haven.

Linda Court Salisbury (“When Random Assignment Is Not Enough: Accounting for Item Selectivity in Experimental Research”) is an associate professor of marketing at the Carroll School of Management, Boston College. She completed her Ph.D. at the Ross School of Business, University of Michigan, and her MBA and M.S. in operations research and statistics at Rensselaer Polytechnic Institute. Her research interests include temporal aspects of decision-making, discrete choice models, and financial decision-making. Her research has appeared in the Journal of Consumer Research, Journal of Marketing Research, and Marketing Science.

Stefan Stremersch (“Drug Detailing and Doctors’ Prescription Decisions: The Role of Information Content in the Face of Competitive Entry”) holds the Desiderius Erasmus Distinguished Chair of Economics and a Chair of Marketing, both at Erasmus School of Economics, Erasmus University Rotterdam, and is a professor of marketing at the IESE Business School. His main research interests focus on innovation, marketing of innovation, technology and science, and pharmaceutical marketing. He has won several awards, such as the Harold H. Maynard Best Paper Award of the Journal of Marketing (2002), the IJRM Best Paper Award (2012 and 2014), the JC Ruigrok Prize for the most productive young research in the Netherlands (2005; awarded only once every four years to an economist), the Rajan Varadarajan Early Career Award of the American Marketing Association (2008), the American Marketing Association’s Award for Global Marketing (2006), and he was a finalist for the ISMS Long-Term Impact Award four times. In 2015, Ghent University and the Francqui Foundation awarded him the honorary International Francqui Chair, selected across all sciences.

K. Sudhir (“Do Sympathy Biases Induce Charitable Giving? The Effects of Advertising Content”) 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 has a secondary appointment in the Yale Economics Department; he leads the quantitative academic-industry research partnerships at the Yale Center for Customer Insights. He received his Ph.D. from Cornell University and was an assistant professor at NYU’s Stern School. While 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 Award, the Bass Award, and the Lehmann Award; and have been finalists/honorable mentions for the Green, Wittink, and IJRM Best Paper and ISMS Long-Term Impact Awards. He currently serves as editor-in-chief of Marketing Science; he previously served as a senior editor at Marketing Science, and associate editor at Marketing Science, Journal of Marketing Research, Management Science, and Quantitative Marketing and Economics, and on the editorial boards of the Journal of Marketing and Journal of Retailing.

Nita Umashankar (“Anticipated vs. Actual Synergy in Merger Partner Selection and Post-Merger Innovation”) is an assistant professor of marketing at the J. Mack Robinson College of Business at Georgia State University. She teaches marketing research in the undergraduate, Master’s, and MBA programs. She has worked with Fortune 1000 companies, including Dell and AirTran, to solve managerially relevant problems. Her research interests broadly fall into the two research areas of services and mergers and acquisitions. She has published in premier academic journals, including Marketing Science, Strategic Management Journal, Journal of Service Research, Journal of Marketing Theory and Practice, Customer Needs and Solutions, and Journal of Public Policy and Marketing.

Siva Viswanathan (“Attribution Strategies and Return on Keyword Investment in Paid Search Advertising”) is an associate professor at the Robert H. Smith School of Business, University of Maryland. His research examines the strategic and competitive impacts of digital technologies, in particular, the implications of emerging digital technologies for market-segmentation, customization, and pricing across different verticals. He also studies user behaviors in online crowdsourcing and peer-to-peer sharing platforms. He is a regular participant in international conferences and industry forums and has published in top management journals.

Yuanping Ying (“When Random Assignment Is Not Enough: Accounting for Item Selectivity in Experimental Research”) is a data scientist at Yum! Brands. She received her Ph.D. from the University of Michigan and previously taught at the University of Texas at Dallas. She has worked primarily on statistical modeling of consumer behavior and customer relationship management. Her research has appeared in the Journal of Marketing Research.

Yu Yu (“Anticipated vs. Actual Synergy in Merger Partner Selection and Post-Merger Innovation”) is a data scientist at AIG Science where she uses statistical modeling and machine learning methods to solve business problems. She completed her doctorate work at Cornell University. She was an assistant professor of marketing at the J. Mack Robinson College of Business at Georgia State University, after which she joined AIG. She has published in premier academic journals, including Marketing Science and Strategic Management Journal.