معرفی
Saerom Lee is an Assistant Professor of Management at the Wharton School of the University of Pennsylvania, specializing in organizational design and venture scaling within early-stage firms. His research examines how startups acquire and structure human capital during critical growth phases.
Lee's research interests focus on organizational structure, human capital acquisition, and venture scaling in entrepreneurial contexts. His work reveals counterintuitive dynamics such as how flatter hierarchies reduce female applicant pools, how autonomy emphasis backfires in recruitment, and why premature scaling increases startup failure risk. Through computational modeling and large-scale field experiments, he bridges organizational theory with practical entrepreneurial challenges.
His publication trends show increasing focus on political sorting in labor markets and gendered organizational effects, building on foundational work in startup structural complexity. Recent articles demonstrate methodological diversity spanning job posting analysis, field experiments with actual startups, and computational modeling.
- Wharton Teaching Excellence Award (2021, 2022, 2023)
- Strategic Management Society Best Conference Ph.D. Paper Prize (2019)
- INFORMS/Organization Science Dissertation Proposal Competition Winner (2019)
- Industry Studies Association Dissertation Award Runner-up (2021)
- Strategy Science Conference Best Paper Award (2022)
Lee teaches core MBA and undergraduate strategy courses including Business Strategy (MGMT2230) and Managing Emerging Enterprises (MGMT6120), focusing on organizational challenges during rapid scaling. His research has secured partnerships with actual startups for field experiments and generated significant media attention through Harvard Business Review and Knowledge@Wharton features.
He directs computational research on span-of-control dynamics and organizational adaptation, collaborating with scholars like J. Daniel Kim and Reuben Hurst on projects examining political sorting in recruitment and acquisition integration strategies.
