Uploaded August 2024 | Updated September 2026, 31 minutes ago
Join Jonathan David, Class of 2024, as he shares his transformative journey in the Tepper School of Business Master of Science in Business Analytics (MSBA) program at Carnegie Mellon University. With a background in economics and psychology, Jonathan sought to deepen his knowledge in analytics and data science to advance his career. Through the supportive community at the Tepper School and the program's comprehensive curriculum, he gained the confidence and expertise to pursue his goals in the data analytics field. Learn how the Tepper School's MSBA program, career center, and alumni network have guided Jonathan toward achieving his career aspirations. Whether you’re transitioning from a different field or looking to enhance your analytical skills, discover how the Tepper School MSBA can help you succeed in a data-driven world.
Join Jonathan David, Class of 2024, as he shares his transformative journey in the Tepper School of Business Master of Science in Business Analytics (MSBA) program at Carnegie Mellon University. With a background in economics and psychology, Jonathan sought to deepen his knowledge in analytics and data science to advance his career. Through the supportive community at the Tepper School and the program's comprehensive curriculum, he gained the confidence and expertise to pursue his goals in the data analytics field. Learn how the Tepper School's MSBA program, career center, and alumni network have guided Jonathan toward achieving his career aspirations. Whether you’re transitioning from a different field or looking to enhance your analytical skills, discover how the Tepper School MSBA can help you succeed in a data-driven world.










![Pim Assavabhokhin Speaks About AI and Transactive Memory Systems
Tepper School doctoral student Pim Assavabhokhin speaks with Professor Emily DeJeu about how AI can enhance short-term decision accuracy and transactive memory systems to improve team speed. Still, over-reliance on technology can create a dependency.
Pim Assavabhokhin is a third-year Ph.D. student in Organizational Behavior and Theory at the Tepper School of Business at Carnegie Mellon University. Working with Professor Linda Argote and Professor Catherine Shea, her research examines human AI teaming, focusing on how AI systems help teams maintain and coordinate knowledge when transactive memory systems, or the shared understanding of who knows what, are strong, as well as when they break down. She conducts both laboratory and field experiments to understand how AI can support learning, performance, and knowledge continuity in teams. In a related stream of research, Pim investigates how AI reshapes advice seeking and impression management at work, drawing on network theory to examine whether seeking advice from colleagues undermines perceptions of competence and whether AI can serve as a private alternative that preserves access to information without incurring reputational costs.
Working papers:
Assavabhokhin, A., Shea, C, Argote, L. (2025). Artificial Intelligence and Transactive Memory Systems [Working paper]
Assavabhokhin, A., Shea, C, Argote, L. (2025). Examining the Role of AI in Overcoming Workplace Advice-Seeking Barriers [Working paper]
https://www.tepperspectives.cmu.edu
https://www.cmu.edu/tepper
Hosted by Emily DeJeu
Produced by John Miller and Nick Wright
Music by Christian Wright Pim Assavabhokhin Speaks About AI and Transactive Memory Systems](https://i.ytimg.com/vi/q--GaL9d64Y/mqdefault.jpg)