Soojin OH
Prof. Soojin OH
Management and Strategy
Assistant Professor

3917 8348

KK 1207

Academic & Professional Qualification
  • Ph.D. (Management), Pennsylvania State University
  • M.A. (Psychology), Seoul National University
  • B.A. (English Language and Literature, Psychology), Seoul National University
Biography

Soojin Oh is an assistant professor of management and strategy at the HKU Business School. His research mainly focuses on uncovering novel mechanisms underlying gender and racial bias in the evaluation of underrepresented leaders and founders. He received his PhD from Penn State and both MA and BA from Seoul National University.

Research Interest
  • Diversity & Inclusion
  • Leadership
  • Entrepreneurship
Selected Publications
  • Joshi, A., Oh, S., & DesJardine, M. (in press) A New Perspective on Gender Bias in the Upper Echelons: Why Stakeholder Variability Matters. Academy of Management Review.
Recent Publications
A New Perspective on Gender Bias in the Upper Echelons: Why Stakeholder Variability Matters

We introduce a novel stakeholder-oriented framework that highlights variance in the application and expression of gender bias in the upper echelons. Directed by their relationship with the firm’s leadership, we theorize that stakeholders’ appraisals of top female leaders map onto a categorical and complex continuum. At the “categorical” end of this continuum, stakeholders neither have access nor are attentive to capability cues from the leader, increasing their reliance on stereotypes and gender biases in their leader evaluations. At the “complex” end of the continuum, stakeholders have access and are attentive to capability cues from the leader, decreasing their reliance on stereotypes and increasing their ability to accurately evaluate the leader. Between these ends, stakeholders evaluate female leaders by applying stereotypes and striving for accuracy to varying degrees. Each region on this continuum is linked to an array of behavioral responses, directed by stakeholders toward a target leader, that differ in valence and intensity. Our framework has significant implications for understanding a variety of social biases beyond gender, and enables the development of tailored strategies that can be used to facilitate accurate leader evaluations by all stakeholders.