World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
61
Citations
14571
World Ranking
1355
National Ranking
632

Research.com Recognitions

  • 2020 - INFORMS Society for Marketing Science (ISMS) Fellow Award
  • 2009 - Fellow of the American Educational Research Association
  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Eric T. Bradlow is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the field of Business, Management, and Accounting, with a strong focus on Marketing as a key subfield. Additional subfields of study contributing to their work include Artificial Intelligence, Economics and Econometrics, Cognitive Neuroscience, and Organizational Behavior and Human Resource Management.

Their research covers several main topics, notably:

  • Consumer Market Behavior and Pricing
  • Customer Service Quality and Loyalty
  • Forecasting Techniques and Applications
  • Bayesian Modeling and Causal Inference
  • Online Learning and Analytics
  • Consumer Retail Behavior Studies
  • Functional Brain Connectivity Studies

Eric T. Bradlow's recent publications demonstrate a variety of research interests and have appeared in multiple respected journals. Selected recent papers include:

  • "Statistical Significance" and Statistical Reporting: Moving Beyond Binary, 2023, Journal of Marketing
  • Refocusing loyalty programs in the era of big data: a societal lens paradigm, 2020, Marketing Letters
  • Selecting Data Granularity and Model Specification Using the Scaled Power Likelihood with Multiple Weights, 2022, Marketing Science
  • Testing Theories of Goal Progress in Online Learning, 2021, Journal of Marketing Research
  • Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation, 2022, International Journal of Research in Marketing

Among frequent publication venues for their work are:

  • SSRN Electronic Journal
  • Journal of Marketing
  • Marketing Letters
  • Marketing Science
  • Customer Needs and Solutions

Eric T. Bradlow has collaborated with several co-authors regularly, including:

  • Raghuram Iyengar (5 joint works)
  • Robert J. Meyer (3 joint works)
  • Sangil Lee (3 joint works)
  • Joseph W. Kable (3 joint works)
  • John Lynch (2 joint works)

Throughout their career, Eric T. Bradlow has received several recognitions such as the INFORMS Society for Marketing Science (ISMS) Fellow Award in 2020, Fellow of the American Educational Research Association in 2009, and Fellow of the American Statistical Association (ASA) in 2005.

Best Publications

  • Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase:

    Pierre Chandon;J. Wesley Hutchinson;Eric T . Bradlow;Scott H . Young

  • Promises and Lies: Restoring Violated Trust

    Maurice E. Schweitzer;John C. Hershey;Eric T. Bradlow

  • The Variety of an Assortment

    Stephen J. Hoch;Eric T. Bradlow;Brian Wansink

  • Relationship Between Medicare’s Hospital Compare Performance Measures and Mortality Rates

    Rachel M. Werner;Eric T. Bradlow

  • An exploratory look at supermarket shopping paths

    Jeffrey S. Larson;Eric T. Bradlow;Peter S. Fader

  • A Bayesian random effects model for testlets

    Eric T. Bradlow;Howard Wainer;Xiaohui Wang

  • The Role of Big Data and Predictive Analytics in Retailing

    Eric T. Bradlow;Manish Gangwar;Praveen Kopalle;Sudhir Voleti

  • Automated Marketing Research Using Online Customer Reviews

    Thomas Y . Lee;Eric T . BradLow

  • Testlet Response Theory and Its Applications

    Howard Wainer;Eric T. Bradlow;Xiaohui Wang

  • Testing Behavioral Hypotheses Using an Integrated Model of Grocery Store Shopping Path and Purchase Behavior

    Sam K. Hui;Eric T. Bradlow;Peter S. Fader

  • Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments

    Eric M. Schwartz;Eric T. Bradlow;Peter S. Fader

  • Path Data in Marketing: An Integrative Framework and Prospectus for Model Building

    Sam K. Hui;Peter S. Fader;Eric T. Bradlow

  • Structural Estimation of the Effect of Out-of-Stocks

    Andrés Musalem;Marcelo Olivares;Eric T. Bradlow;Christian Terwiesch

  • A General Bayesian Model for Testlets: Theory and Applications:

    Xiaohui Wang;Eric T. Bradlow;Howard Wainer

  • Testlet Response Theory: An Analog for the 3PL Model Useful in Testlet-Based Adaptive Testing

    Howard Wainer;Eric T. Bradlow;Zuru Du

  • Store Within a Store

    Kinshuk Jerath;Z. John Zhang

  • A Bayesian approach for predicting the popularity of tweets

    Tauhid Zaman;Emily B. Fox;Eric T. Bradlow

  • Beyond conjoint analysis: Advances in preference measurement

    Oded Netzer;Olivier Toubia;Eric T. Bradlow;Ely Dahan

  • Agents to the Rescue

    Patricia M. West;Dan Ariely;Steve Bellman;Eric Bradlow

  • The Little Engines That Could: Modeling the Performance of World Wide Web Search Engines

    Eric T. Bradlow;David C. Schmittlein

  • Does In-Store Marketing Work? Effects of the Number and Position of Shelf Facings on Brand Attention and Evaluation at the Point of Purchase

    Pierre Chandon;J. Wesley Hutchinson;Scott H. Young;Eric Bradlow

  • Automated Marketing Research Using Online Customer Reviews

    Eric Bradlow

Frequent Co-Authors

Howard Wainer
Howard Wainer National Board of Medical Examiners
Joel Huber
Joel Huber Duke University
Stephen J. Hoch
Stephen J. Hoch University of Pennsylvania
Greg M. Allenby
Greg M. Allenby The Ohio State University
Praveen K. Kopalle
Praveen K. Kopalle Dartmouth College
Jonah Berger
Jonah Berger University of Pennsylvania
Teck-Hua Ho
Teck-Hua Ho Nanyang Technological University
Alok Gupta
Alok Gupta University of Minnesota
Dan Ariely
Dan Ariely Duke University
Maurice E. Schweitzer
Maurice E. Schweitzer University of Pennsylvania

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