Hi, this is Shawn. I am a Ph.D. student in the management department at Darla Moore School of Business, University of South Carolina. I use various methods to study performance (value creation), team dynamics (human capital combination), and the future of work (particularly the role of technologies). I am broadly interested in how people work with others and emerging technologies to create value, and how these processes shape individuals, teams, and organizations over time.
Before South Carolina, I had a wonderful time doing research with scholars in various departments at the University of Massachusetts, Wisconsin, and Minnesota. I obtained my master's degree in information science and bachelor's degree in economics.
Broadly, my research examines how capabilities combine to create collective-level value, and its broader implications for organizations. Currently, I am working on three lines of research:
1. Intelligence Capital Resource
How do human and artificial intelligence capabilities combine to create collective-level value? This project develops a multilevel framework of intelligence capital resources to explain how human and AI capabilities are combined, configured, and transformed into collective performance.
2. AI & Diversity in Value Creation
How does AI reshape the productive value of diversity? This project seeks to understand how AI changes the way diverse human capabilities contribute to collective work, and its implications for team and organizational capabilities.
3. Star Introverts
What type of high performers make the team better? To answer this, the project investigates how high performers’ personality, specifically their level of introversion, shapes team communication and learning.
If you are interested in any of these, or have any thoughts want to share with me, send me an email and let's have a chat! :D
This is a four-page paper that provides an excellent introduction to network analysis methods in the field of social science.
There are many textbooks about networks, but my favorite is this 'Networks, Crowds and Markets' by David Easley and Jon Kleinberg.
Lecture videos are given by Dr. Matthew O. Jackson, very insightful.
Many cool network researchers work at the Kentucky links center.They also offer classes and workshops during summer.
Early and Middle Career Researchers (EMCRs) on Social Networks group aims at bringing together and support social network researchers.There are also many useful resources on their website
INSNA(international network for social network analysis) is a conference, usually held at Sunbelt.
There are numerous other valuable resources, such as 'Women in Network Science Society' and 'Yale Network Science', among others. However, throughout my journey of exploring different methods, I've found that the most enriching resource is the people along the way.