Examples of Current Research
“Learning across Product, Work Group and Geographic Boundaries,” a research project co-investigated by Carolyn Denomme, Erica Fuchs, Linda Argote, and Dennis Epple, funding received from National Science Foundation, Science of Science and Innovation Policy program and Innovation and Organization Science program. The researchers study organizational learning and knowledge transfer in a multi-product offshore production facility.
"The Two Wonders of Experience Working Together: Unpacking How Matching Work Responsibilities and Individual Expertise and Having a Common Language Contribute to Team Performance," coauthored by Ray Reagans (Sloan, MIT), Ella Miron-Spektor (Technion) and Linda Argote (Tepper, Carnegie Mellon University). This project examines the effect of differentiated expertise and shared language on the emergence of Transactive Memory Systems and group performance. This work is funded by the National Science Foundation (IOS).
"Mindlab Project.” Linda Argote (Tepper School of Business), Rich Burton (Fuqua School of Business, Duke University) collaborate with colleagues on the Mindlab project at Aarhus University, Borge Obel, Dorthe Hakonsson, Dan Monster, and Jacob Eskildsen. The research aims to determine the effect of emotion and performance on the tendency to explore and adopt a new routine. A strength of the work is the incorporation of physiological as well as behavioral measures. The project is funded by the Danish government.
"Anchoring Interpersonal Affect," coauthored by Ray Reagans (Sloan, MIT), and Ella Miron-Spektor (Technion). This project examines the effect of social similarity and shared identity on team learning and performance.
"Social Networks, Turnover, Transactive Memory Systems and Team Performance," Jonathan Kush (Carnegie Mellon University), Brandy Aven (Carnegie Mellon University) and Linda Argote (Carnegie Mellon University). The research examines how social networks and turnover affect the development of transactive memory systems, which in turn affect team performance. Teams perform a collaborative computing task in a distributed environment. The research is funded by the National Science Foundation's Human-Centered Computing Program.