Christina H.Y. Fang

Biography

Christina Fang's research focuses on challenges and mechanisms of learning. Current research examines causal attributions of business performance, issues of novelty in technological innovations, and behavioral/strategic implications of learning in the absence of immediate feedback. She holds a Ph.D. in Strategic Management from the Wharton School, University of Pennsylvania.

Research Interests

• Organization Learning
• Strategic Decision Making
• Technological Innovation

Courses Taught

• Strategy and Innovation in China
• Strategy I
• Strategy II

Academic Background

Ph.D., Strategy/Organizational Theory, 2003
The Wharton School

M.S., Management Science/Applied Economics, 2001
The Wharton School

Awards & Appointments

Academy of Management	Member, Business Policy and Strategy Award Committee

Selected Publications

Jerker Denrell, Christina Fang, and Chengwei Liu (2018)
In Search of Behavioral Opportunities from Misattribution of Luck
Academy of Management Review

Christina Fang and Jason Kim (2018)
The Power and Limits of Modularity: A Replication and Reconciliation
Strategic Management Journal. 39:2547-2565.

Chengwei Liu, Ivo Vlaev, Christina Fang, Jerker Denrell and Nick Chater (2017)
Strategizing with Behavioral Biases: Engineering Choice Contexts for Better Decisions using Mindspace Approach
California Management Review (special issue on Behavioral Strategy and Management Practice). 59(3).

Christina Fang, Jerker Denrell (2010)
Predicting the Next Big Thing: Success as a Signal of Poor Judgment
Management Science, 56(10), 1653-1667.

Christina Fang, Jeho Lee and Melissa Schilling (2010)
Balancing Exploration and Exploitation through Structural Design: The Isolation of Subgroups and Organization Learning
Organization Science, 21(3), 625-642.

Christina Fang, Daniel Levinthal (2009)
The Near Term Liability of Exploitation: Exploration and Exploitation in Multi-Stage Problems

Christina Fang, Sari Carp and Zur Shapira
Prior Divergence: Do Researchers and Participants Share the Same Prior Probability Distributions?
Cognitive Science, Forthcoming.