People trust reviews of leisure activities more when they come from someone who did the activity alone, according to the Smith School’s Rebecca Ratner. Her research shows solo consumers are seen as more focused and credible, influencing recommendations significantly.

In a JAMIA Open study, the Smith School’s Margrét Bjarnadóttir explores how large language models can generate synthetic health data to improve predictive models while addressing algorithmic bias and advancing health equity.

Marketing researchers at the Smith School developed a transformer-based AI model that predicts digital customer behavior, personalizes insights, and outperforms traditional methods—advancing real-time marketing analytics and ROI through individualized, multi-touchpoint journey analysis.

Public pensions face mounting pressure amid economic uncertainty and legal battles. The Smith School’s T. Leigh Anenson offers a legal framework for reform, advocating “contract minimalism” to balance state budget constraints with fair protections for employee retirement benefits.

Public firms disclose significantly less about environmental risks when under EPA scrutiny, new research by Mark Zakota shows. His study highlights how such oversight may undermine SEC climate-transparency efforts—unless firms improve governance or agencies better coordinate enforcement.

Managers often overlook employee innovations due to risk aversion. Smith researchers Vijaya Venkataramani and Kay Bartol found diverse networks—both managerial and employee—help ideas gain credibility and traction, fostering an environment where innovation is more likely to succeed.

A joint report from Maryland’s Comptroller and Smith School researchers reveals $150 billion in recent federal spending in the state. Students, guided by professors Liu Yang, Vojislav Maksimovic and Kislaya Prasad, gained valuable experience in data analysis and government collaboration.

Research co-authored by associate professor Dan McCarthy finds that online sports betting legalization has led to a rise in irresponsible gambling, especially among lower-income individuals. The study highlights financial risks and calls for safeguards to mitigate potential societal harm.

Marketing PhD student Ziting Liao, with faculty Liye Ma and Wendy Moe, developed a model predicting purchase intent from AI assistant interactions. By analyzing language patterns, the tool helps advertisers better target consumers and optimize strategies based on intent.

Joseph Reiff, assistant professor of marketing, co-invented The Retirement Visualizer™, an AI tool using GPT and DALL·E to help individuals vividly imagine retirement goals. By making the future feel tangible, it aims to boost motivation and increase retirement savings.