We test a theoretical mechanism linking shared team experience and team performance: a transactive memory system. Known colloquially as knowledge of who knows what, a transactive memory system (TMS) enables teams to assign tasks to the most qualified members and to rely on those members to perform and coordinate their tasks effectively. Our empirical context is the hospital trauma resuscitation team. We hypothesize that patients treated by teams with well-developed transactive memory systems have better outcomes than patients treated by teams with weaker transactive memory systems.

Dr. Hyoji Choi

What are the structural relationships of consumption activities within and between amenity clusters that influence consumer behavior? This study aims to deepen our understanding of consumer behavior in the amenity clusters by examining specific locations and spatial patterns of consumer spending. It further investigates the transformations in these patterns brought about during the COVID-19 pandemic, as the widespread adoption of remote work and the imposition of movement restrictions significantly altered consumers’ spatial movement patterns. This research also assesses the lasting effects of these changes in the post-pandemic era. To achieve this, we analyzed various big-data sources, including aggregated data from credit card transactions, measured from 50cm-by-50cm cells, to focus on consumption patterns within Seoul's amenity clusters. We utilized the economic complexity methods (Hidalgo, 2021) to quantify the relatedness density of consumers' multiple shopping activities within specific amenity clusters. This study suggests the link between structural characteristics of commercial districts and consumption trip distance via spatial interaction modeling with the gravity approach. Lastly, the study examines the transformations in these relationships that emerged throughout the COVID pandemic.

Dr. Jonghuyn Kim

This study revisits Christaller's Central Place Theory (1933), a seminal work in economic geography, with a focus on the structural configuration of a city. Employing a robust data-driven methodology, the research calculates the product and economic complexity indices as proxies for the centrality of goods and services and the significance of place. The empirical analysis investigates the spatial patterns of these complexity indices in Seoul, concerning economic facilities, labor forces, market boundaries, and customer mobility, utilizing diverse big data sources – including location and industrial field information from approximately 400,000 small business firms, credit card purchase data, floating population data, and residential and working population statistics – to map the economic geographical characteristics. The findings reveal spatial concentrations of key economic facilities and highly productive, knowledge-intensive workers within clusters that exhibit a high level of economic complexity. The study also notes an extended market boundary distance and increased consumer mobility for products and shops characterized by a high level of product complexity. In conclusion, this research significantly contributes to advancing quantitative analysis methods within Central Place Theory by adopting the methodological framework of Hidalgo and Hausmann (2009), which is gaining prominence in the field.

Dr. Canh’s study investigates the impacts of domestic and international tourism on the geography of economic activities, contributing to the burgeoning field of economic complexity. Despite the significant role of tourism in many economies, its impact on a nation's economic complexity remains underexplored. Utilizing a robust methodological approach and a comprehensive sample of 123 economies, including 45 high-income countries (HICs), 33 upper-middle-income countries (UMCs), and 45 lower-middle-income countries (LMCs) over two decades, this study addresses potential endogeneity issues and provides new insights into the relationship between tourism and economic complexity. The findings reveal that both international and domestic tourism spending could significantly contribute to improving economic complexity in the global sample. However, the influences of international tourism vary depending on the income level of the economy. The study underscores that tourism as a service sector can be a key driver of economic complexity. These findings have important implications for policymakers and researchers interested in economic development through the lens of economic complexity and tourism management.