ChatGPT Referrals to E-Commerce Websites: Do LLMs Outperform Traditional Channels?
We investigate the performance of organic Large Language Model traffic (oLLM) versus traditional digital channels in e-commerce.
Sep 10, 2025
Product Differentiation through Labels: Evidence from EU Energy Relabeling
We analyze the impact of EU energy efficiency relabeling on consumer purchase decisions using quasi-experimental methods.
Sep 10, 2025
Neural Product Embeddings for (New) Product Sales Prediction
We develop neural product embeddings to predict sales of new products, addressing the challenge of forecasting with limited historical data.
Aug 1, 2025
Conversion Rates in E-Commerce
We analyze conversion rates in e-commerce, examining factors that influence customer purchase decisions in online retail.
May 1, 2025
Google's Sputnik Moment? The Disruption of Search Behavior in the Age of ChatGPT
We analyze how ChatGPT is disrupting traditional search behavior and its implications for Google's market dominance.
Jan 1, 2025
Sanctions, Sales, and Stigma: Intermediary Online Firms' Market Role in Sustaining Trade
We analyze how intermediary online firms sustain trade despite sanctions and stigma, examining their market role and resilience strategies.
Jul 9, 2024
Evaluating the Impact of Privacy Regulation on E-Commerce Firms: Evidence from Apple's App Tracking Transparency
We provide the first comprehensive evidence of Apple's App Tracking Transparency policy's impact on e-commerce firms, finding substantial revenue declines particularly among smaller firms highly dependent on Meta advertising.
Feb 5, 2024
Ukraine - Firms through the War 2.0
We analyze how Ukrainian firms have adapted to operating during wartime, examining business resilience and survival strategies.
Jan 1, 2024
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
We develop interpretable deep learning models for forecasting online advertising costs, providing insights into competitive bidding dynamics.
Jan 1, 2024
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
We develop interpretable deep learning models for online advertising revenue forecasting, balancing predictive accuracy with model transparency.
Nov 16, 2021