Vilma Todri is an expert in consumer behavior and firm strategies in technology-mediated environments, including e-commerce and digital platforms, social media networks, and Internet of Things (IoT) ecosystems. Professor Todri examines how consumers research and recommend products, make purchases, and interact with advertising and brands online. She also evaluates how firms leverage internet-related technologies to create business value in the digital economy.
In her research, Professor Todri applies a wide variety of techniques to assess consumer and firm decision-making, including quantitative and structural modeling, advanced causal inference analytics, machine learning (ML), and artificial intelligence (AI). She employs econometric and data science techniques to derive insights from analyzing vast real-world data, both structured and unstructured. She uses, for instance, text mining, as well as sentiment and linguistic analysis, to gain insight from online data such as product reviews and social media posts.
Professor Todri publishes articles in leading peer-reviewed marketing and information systems journals, including Marketing Science, the Journal of Marketing, and Information Systems Research. She has received prestigious academic honors, including the INFORMS ISS Sandra A. Slaughter Early Career Award, the INFORMS ISS Gordon B. Davis Young Scholar Award, and the Association for Information Systems (AIS) Early Career Award. Professor Todri serves as an associate editor for Management Science and Management of Information Systems Quarterly.
An award-winning educator, Professor Todri teaches M.B.A., M.S.B.A., and undergraduate courses on business data analytics and information technology.