Smith Research

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.

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.

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.

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.

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.

Smith’s Xiaojia Guo co-authored a study on forecasting demand for new products using Bayesian model averaging. The research offers a robust, flexible model for predicting life cycles of fast-evolving items like fashion, news topics and digital content.

New online marketplaces often rely on network effects to grow, but inviting prominent sellers can shape their long-term reputation. Research from Wedad Elmaghraby and Ashish Kabra shows that high-quality sellers attract premium buyers, while lower-quality sellers foster price-sensitive markets.

When the Covid pandemic made the already growing trend of remote work ubiquitous five years ago, it also opened possibilities for where people could decide to live.