2023 - Research.com Business and Management in United States Leader Award
2022 - Research.com Business and Management in United States Leader Award
2015 - INFORMS Society for Marketing Science (ISMS) Fellow Award
His scientific interests lie mostly in Marketing, Advertising, Econometrics, Competition and Product category. His Marketing study combines topics in areas such as Market power, Cooperative advertising, Incentive and Discrete choice. His work on Grocery store as part of general Advertising research is frequently linked to State dependence, thereby connecting diverse disciplines of science.
His work deals with themes such as Statistics and Set, which intersect with Econometrics. His work in Competition tackles topics such as Industrial organization which are related to areas like Perfect competition, Demand curve and Payment. His Product category research integrates issues from Store brand, Statistical hypothesis testing, Private label, Aggregate data and Microeconomics.
Pradeep K. Chintagunta spends much of his time researching Marketing, Econometrics, Advertising, Microeconomics and Competition. His research combines Communication channel and Marketing. His Econometrics study incorporates themes from Statistics and Mixed logit.
His research integrates issues of Ticket, Robustness, Product and Revenue in his study of Advertising. His Microeconomics study incorporates themes from Product category and Market share. His study in Competition is interdisciplinary in nature, drawing from both Market structure, Industrial organization and Variety.
Advertising, Marketing, Competition, Product and Quality are his primary areas of study. His work deals with themes such as Robustness, Leverage, Marketing mix and Revenue, which intersect with Advertising. His study in the field of Marketing science, Rebranding and Marketing research is also linked to topics like Big data and Emerging markets.
His studies in Competition integrate themes in fields like Economies of scope, Communication channel, Price change, Economies of agglomeration and Industrial organization. His Product research is multidisciplinary, relying on both Personalization, Set, Empirical research, Opportunity cost and Preference. Pradeep K. Chintagunta usually deals with Microeconomics and limits it to topics linked to Bayesian probability and Econometrics.
Pradeep K. Chintagunta mainly focuses on Advertising, Marketing, Product, Competition and Promotion. His Advertising research integrates issues from Panel data and Revenue. The various areas that Pradeep K. Chintagunta examines in his Revenue study include Incentive, Cannibalization and Quality.
His Marketing science and Marketing mix study are his primary interests in Marketing. The Product study combines topics in areas such as Store brand, Personalization, Commerce and Set. His study looks at the relationship between Competition and topics such as Competitor analysis, which overlap with Market share.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets
Pradeep K. Chintagunta;Shyam Gopinath;Sriram Venkataraman.
(2010)
Customer Value Assessment in Business Markets: A State-of-Practice Study
James C. Anderson;Dipak C Jain;Pradeep K Chintagunta.
(1992)
The Effect of Banner Advertising on Internet Purchasing
Puneet Manchanda;Jean Pierre Dubé;Khim Yong Goh;Pradeep K. Chintagunta.
(2006)
Venture Capitalists' Assessment of New Venture Survival
Roman Kapuscinski;Sridhar Tayur;Pradeep K. Chintagunta;Dean A. Shepherd.
(1999)
On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models
Sachin Gupta;Pradeep K. Chintagunta.
(1994)
A Bayesian Model to Forecast New Product Performance in Domestic and International Markets
Ramya Neelamegham;Pradeep Chintagunta.
(1999)
Investigating Purchase Incidence, Brand Choice and Purchase Quantity Decisions of Households
Pradeep K. Chintagunta.
(1993)
Investigating heterogeneity in brand preferences in logit models for panel data
Pradeep K. Chintagunta;Dipak C. Jain;Naufel J. Vilcassim.
(1991)
Manufacturer-Retailer Channel Interactions and Implications for Channel Power: An Empirical Investigation of Pricing in a Local Market
Vrinda Kadiyali;Pradeep Chintagunta;Naufel Vilcassim.
(2000)
Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants
Harikesh Nair;Pradeep Chintagunta;Jean-pierre Dubé.
(2004)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Chicago
University of California, Los Angeles
University of California, Los Angeles
University of Maryland, College Park
Carnegie Mellon University
University of California, Los Angeles
Stanford University
Yale University
Rice University
Duke University
Nanyang Technological University
University of Pavia
University of the Basque Country
University of North Texas
University of Massachusetts Amherst
University Medical Center Groningen
Institute Curie
Agricultural Research Service
University of Hawaii at Manoa
University of New Mexico
University of Oulu
University of Copenhagen
Japan Advanced Institute of Science and Technology
Florida State University
University of North Carolina at Greensboro
University of Arizona