The rapid proliferation of generative artificial intelligence (GenAI) is significantly reshaping the labor market. While existing literature primarily focuses on GenAI’s isolated effects on either labor demand (e.g., task automation) or labor supply (e.g., skill development), research exploring the combined, interactive effects on firm-labor dynamics remains limited.
Cybersecurity incidents and data breaches are increasingly common and pose significant financial risks for firms. This study examines how consumers respond to major data breach announcements and evaluates their economic consequences for affected companies. Using a difference-in-differences research design, we analyze a large-scale data breach in the hospitality industry that
Balancing consumer protection with seller welfare is a central challenge in platform governance. This study examines returnless refunds—an innovation that reimburses buyers without requiring product returns—and analyzes a policy shift that delegated refund authority to highly rated sellers on a leading e-commerce platform. Using a difference-in-differences framework, we
Large language model (LLM)–based advisors increasingly interact directly with consumers, raising the question of whether they mitigate or exacerbate well-documented consumer choice biases. We study this question in the context of gym membership purchases, where consumers are known to systematically overestimate future usage. We address three research questions: (1)