Statistical bias could be misleading your product and feature testing, according to research from Columbia Business School Professor Hannah Li, but solutions might be easier than you think.
Generative AI is revolutionizing market research by offering unprecedented ways to understand customers, assess competitors, and extend data-driven decision-making organizationally.
New Columbia Business School research reveals how analyzing real-time customer journey data — from search queries to filtering behavior — can predict preferences with remarkable accuracy, even without historical data.
A new Columbia Business School study reveals a troubling knowledge gap: most consumers can’t accurately estimate carbon emissions from industries, companies, or behaviors, undermining their ability to make impactful eco-friendly decisions.
AI is here to stay, and it's essential for us to continue experimenting and sharing insights to shape the future of business school education, says P
Using natural language processing, Professor Olivier Toubia and his co-researchers have found that the way people write, no matter the topic, can reveal clues about how well they might do in the future—whether in school, work, or other areas.
With key appointments and contrasting philosophies in play, voters face a critical choice on the future of competition policy, argues Professor Paola Valenti.
Professor Laura Veldkamp outlines the key issues to consider when evaluating the candidates’ approach to Big Tech and monopolies during this election season.
The pharmaceutical company leader praised AI for boosting productivity, but noted that it’s still “all about the people.”
Research from Columbia Business School Professor Jorge Guzman examines the critical role regional innovation plays in entrepreneurial growth.