Hao Gong

Hao Gong

  • Ph.D. Student, Industrial Relations and Human Resource Management
Janice H. Levin Building, 94 Rockafeller Road, Piscataway, NJ 08854-8054

M.L.E.R., Rutgers University

Hao Gong is a doctoral candidate in Industrial Relations and Human Resources at the School of Management and Labor Relations at Rutgers University. His primary research interests include interpersonal dynamic (e.g. collaboration and conflict) in workplace and its consequences for employees and organizations (e.g. learning, innovation, frame and culture change, etc.), and paradox theory. Currently, he incorporates "collaborative ecosystem” as a new lens to explore multi-stakeholder approach for multi-level systems change. Gong’s researches often adopt mixed method design. He has used a variety of analytical methods (e.g. topic model, machine learning approach to facial and gesture analysis, QCA, network analysis) to study related topics in, but not restricted to, healthcare and other professional organizations.

Hao Gong is a member of the Academy of Management (AOM) and Labor and Employment Relations Association (LERA). He currently serves on the advisory committee in Chinese hospital alliance.


ABCD Reviewer Award, Academy of Management, OMT division

Harry and Vera Stark Fellowship, SMLR, Rutgers


R Statistical Programming in Social Science (Certificate of completion by ICPSR training program, UC, Berkeley, 2016)

Quantitative Text Analysis for Social Science (Certificate of completion by Sage Campus and Essex Summer School in Social Science Data Analysis, 2018)

Social Network Analysis (Certificate of completion by LINKS Center Network Analysis Training Workshop, University of Kentucky, 2016)