All Episodes

Strategic Architecture of Personalized AI and User Diversity Economics

The Strategic Advantage of Business Schools in the AI Era

Semrush and the Agentic Economy Strategic Memo

Richard Hamming: The Art of Doing Great Research

Preference Engineering: Marketing in the Agentic Economy

Generative Brand Choice

E-GEO: A Testbed for Generative Engine Optimization in E-commerce

Improving Historical Census Transcriptions: A Machine Learning Approach

Regulation, Investment, and Misallocation in Natural Gas Pipelines

On the Structural Basis of Conditional Ignorability

The Agent Economy: From Bots to Monetized Markets

The Analytics Mandate: Monetizing Data for Growth

Improving Generative Ad Text on Facebook using reinforcement learning

Autonomous Marketing: Architecting the Future CMO Role

CMO's Guide to Autonomous Marketing and AI Reward Models

AI Era Marketing Education: A Strategic Blueprint

Marketing's Agentic AI Transformation: From Efficiency to Autonomy

Towards Global Optimal Visual In-Context Learning Prompt Selection

GEPA: Generative Feedback for AI System Optimization

Defending Prediction Policy Problems: Pragmatism in Algorithmic Governance

Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy

Human Expertise in Algorithmic Prediction

On the (Mis)Use of Machine Learning with Panel Data

Prediction Policy Problems

Immersive Marketing's New Reality: Quest and Smart Glasses

The Limitations of Large Language Models for Understanding Human Language and Cognition

AI Agents: Reshaping Marketing Strategy

APIGen-MT: Agentic PIpeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

TRELLIS: Microsoft's Generative 3D AI Marketing Transformation

Test-Time Alignment Strategies for Large Language Models

Let's verify step by step

Trading Off Value Creation and Value Appropriation: The Financial Implications of Shifts

Marketing AI: Hunting Thunder Lizards in 2025

Essays on Digital Marketing Analytics

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness

Conformal Tail Risk Control for Large Language Model Alignment

Bayesian Optimization with Conformal Prediction Sets

The AI Reckoning: Navigating the Transformation of the Global Advertising Industry

In-context learning enables multimodal large language models to classify cancer pathology images

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare

Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation

Depicting Image Quality in the Wild

PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality

Depicting Beyond Scores: Advancing Image Quality Assessment through

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

What Makes Good Examples for Visual In-Context Learning?

Towards Global Optimal Visual In-Context Learning Prompt Selection

Causal Discovery in AI: Internal vs. External Explanations

Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets

Learning Fair And Effective Points-Based Rewards Programs

Automating Hypothesis Generation with LLMs and Meta-Analysis

Hypothesis Generation with Large Language Models

LLM Evaluation: Scoring vs. Pairwise Comparison

Deriving Phrase-Level Attention from BERT Models

From AI Wrapper to System of Work: Sustainable SaaS Evolution

AI Interfaces and Business Software Impact

VLMs for Image Scoring and Self-Explanation

Mantis: Multi-Image Instruction Tuning for LMMs

Vision-Language Models for Ad Click Prediction

LLaVA-Critic: Evaluating Multimodal Models

Persona-Driven Ad Click Prediction with GPT-4V: Feasibility Analysis

Economics in the Age of Algorithms

Information Signals in Sponsored Search: Evidence from Google’s BERT

The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems

How Effective is Suggested Pricing?: Experimental Evidence from an E-Commerce Platform

Advertising in AI Systems: Society Must Be Vigilant

LLMs and In-Context Beliefs

Prompt Engineering: Architecting Its Own Obsolescence

Adaptive Ad Generation Using Twin-2K-500 Data

Autonomous AI: The New Marketing Frontier

Outcome-Informed Weighting for Robust ATE Estimation

Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments

Nonparametric Instrumental Variable Inference with Many Weak Instruments

Collider Bias from Unstructured Data Covariates

The Experimental Selection Correction Estimator: Using Experiments to Remove Biases in Observational Estimates∗

Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel

The GenAI Future of Consumer Research

Augmenting Data and Inferential Frameworks

A Unifying Framework for Robust and Efficient Inference with Unstructured Data

Particle Filtering and Sequential Monte Carlo Explained

Walled Gardens and Digital Marketing Data Ownership

The Creative Brief in the Age of GenAI

Reward-Guided Generation in Diffusion Models: A Tutorial

Decoding Adora AI's Vision for Marketer Empowerment

Samsung-backed Liner Tests AI Search Ads

Private Submodular Maximization for Data Summarization

Perplexity AI Ad Effectiveness Analysis

Interpretable Mechanism Design with Large Language Models

Value of Offsite Tracking Data to Advertisers

Ads in Conversations

Meta AI Advertising: A Quantitative Marketing View

Meta's AI Advertising Revolution: Vision, Implications, and Ethics

LLM Interactions Avoid Game Theory Pathologies

Learning efficient equilibria in repeated games

Subjective Equilibrium in Repeated Games

Possibility of Bayesian learning in infinitely repeated games

Rational Learning Leads to Nash Equilibrium

QALIGN for Business School Research and LLM Alignment

A high-dimensional choice model for online retailing

Pretraining Structural Models: Consumer Search Application

Political Ideology Predicts Price Negotiation

Household Decision Factors in Disposal

New Product Preannouncements and Shareholder Value: Don't Make Promises You Can't Keep

Calendar-Time Portfolios for Long-Term Event Studies

Grounded Persuasive Language Generation for Marketing

AI Agents and the Limits of Process Outsourcing

Outsourcing Contracts: Marketing and Management Science Synthesis

Outsourcing Contracts: Incentives, Risk, and the AI Agent Era

Incomplete Contracts: A Framework for AI Alignment

AI and the Rise of Outcome-Based Marketing

Shareholder wealth implications of software firms’ transition to cloud computing: a marketing perspective

Stock Return Response to Marketing Strategy: A Modeling Overview

Tylenol Poisonings and Brand-Name Capital: 1982 Study

Event Study Methodology: A Review of Fundamental Topics

Econometrics of Event Studies

Event Studies and Stock Returns: A Review for Marketing

Demand Estimation with Unstructured Product Data

Resource-Based Theory vs. Five Industrial Organization Schools

Beyond Conjoint Analysis: The Future of Preference Measurement