A study co-authored by Qian Zishun, a 2021 doctoral candidate at the School of Management, has been published in Production and Operations Management (POMS), a leading UTD24 journal in the field. The research, supervised by Professor Li Jianbin and conducted in collaboration with Professor Peng Jing from the University of Connecticut, examines how announcements of generative AI adoption affect supplier firms.
Titled “The Impact of Generative AI Announcements on Suppliers: Evidence From the Stock Market,” the paper addresses an often-overlooked question in the fast-evolving GenAI landscape: whether such technological announcements create spillover effects across supply chains. Using event study methodology and data from North American public companies, the research finds that suppliers experience an average positive abnormal return of 0.27% on the announcement day, with stronger effects observed among R&D-intensive suppliers, those geographically closer to the announcing firm, and those in less competitive industries. The study provides new evidence on the financial ripple effects of digital innovation across supply networks, extending beyond the traditional focus on adopting firms themselves.
Qian Zishun, a member of the school’s “Robust Team”, focuses on technological innovation, digital transformation, and supply chain management. He has previously visited the University of Connecticut and Texas Tech University for academic exchange, and has published in several recognized journals including POMS, OMEGA, and IJPE.
