New research from Sean Cao at the University of Maryland’s Smith School shows that AI and human stock analysts complement each other. AI excels in processing large data, while humans outperform in complex, intangible contexts. Combining both reduces errors and improves predictions.

Smith professors Raghu Raghavan and Bruce Golden's research on Urban Air Mobility (UAM) explores routing and scheduling challenges for electric flying taxis. Their study addresses passenger demand, battery management, and real-world logistics, aiming to maximize transport efficiency in future smart cities.

New research by Hui Liao at the Smith School reveals that obsessive passion in teams can stifle innovation by hindering reflection and flexibility. In contrast, harmonious passion promotes team reflexivity and fosters greater innovation.

Self-preferencing by large tech companies, like Amazon, faces scrutiny, with Congress considering the AICOA and OAMA bills to restrict the practice. Research by Smith professor Bobby Zhou suggests these regulations could unintentionally raise consumer prices by reducing competition between sellers.

The Smith School's Reuben Hurst finds that flatter hierarchies, though promoting collaboration, may reduce gender diversity in job applicants. His study shows such structures lead to fewer women applying for jobs.

Debra Shapiro's research examines social justice advocacy in workplaces. The study finds support varies based on whether the advocate is an ally or a disadvantaged group advocate, influenced by the appeal receiver's identification with the group.

The Smith School's Michael C. Fu explores efficient escalator use in crowded transit hubs, challenging conventional "walk left, stand right" etiquette with findings favoring flexible lane access to balance passenger flow.

Associate Professor Nick Seybert’s research highlights the impact of “rule-bender” language in job postings on applicant quality. Employers using keywords like “ambitious” and “thinks outside the box” may attract narcissistic applicants prone to unethical behavior, especially in accounting.

Diversity enhances business innovation, yet homogeneity persists, especially at the top. Aneesh Rai of the Smith School and colleagues found larger homogeneous groups more likely to diversify, highlighting the need to address diversity gaps in smaller teams.

As AI matures, U.S. businesses grapple with evolving regulations. Kislaya Prasad's study at the University of Maryland reveals concerns over job displacement, strong support for regulations, and focus on generative AI for customer experience and operational efficiency.