Kaifeng Jiang

Professor of Management and Human Resources
Core Faculty of Translational Data Analytics Institute (TDAI)

Management & Human Resources


Kaifeng Jiang (PhD, Rutgers University) is a Professor of Management and Human Resources and a core faculty member of Translational Data Analytics Institute (TDAI) at The Ohio State University. Professor Jiang’s research focuses on strategic HRM, organizational climate, and work teams. With over 30 articles published in leading management journals, he is among the most productive and most cited scholars in the field of strategic HRM. He has earned prestigious recognitions for scholarly career achievement including the Early Career Achievement Award of the HR Division and the Luis Aparicio Prize of the International Labour and Employment Relations Association. His research has received financial support from multiple sponsors including the Intelligence Advanced Research Projects Activity (IARPA) and the SHRM Foundation. He serves on the editorial review boards of journals such as Academy of Management Journal, Journal of Applied Psychology, Journal of Management, Organizational Behavior and Human Decision Processes, Human Resource Management, and Personnel Psychology, and has won several Best Reviewer Awards granted by these journals.  He is an incoming associate editor of Personnel Psychology (2023-2025) and has served as an associate editor of International Journal of Human Resource Management (2020-2022) and Human Resource Management Journal (2016-2020). He has also been an active member of the Human Resources Division of the Academy of Management where he serves or has served in a number of capacities, including Executive Committee member (2017-2020) and Division Chair (2021-2026).


Distinctions, Honors, and Awards

  • World's top 2% of the most-cited scholars and scientists for single year (2020, 2021)
  • “Best Professor” Award, MHRM Program, The Ohio State University (2022)
  • Associate Editor, Personnel Psychology (2023-2025)
  • Winner, 2022 Excellence in Reviewing Award for Human Resource Management
  • Winner, 2022 Outstanding Reviewer Award of Journal of Management
  • Associate Editor, Human Resource Management Journal (2016-2020)
  • Associate Editor, International Journal of Human Resource Management (2020-present)
  • Honorable mention, 2021 International Labour and Employment Relations Association (ILERA) Luis Aparicio Prize.
  • Elected to serve a series of leadership roles, including PDW Chair, Program Chair, and Chair of the Division, over a 5-year period for the HR Division of the Academy of Management (August 2021-2026).
  • Faculty Recognition Award, Fisher College of Business, The Ohio State University, 2021.
  • Runner-up, 2018 International Labour and Employment Relations Association (ILERA) Luis Aparicio Prize.
  • Winner, 2018 Academy of Management HR Division’s Early Career Achievement Award.
  • Emerald Citations of Excellence for 2017.
  • Finalist, 2017 HR Division Scholarly Achievement Award.
  • Winner, 2016 Review of the Year Awards of Personnel Psychology.
  • Finalist, 2015 Best Article Award of Personnel Psychology.

Areas of Expertise

Human Resources Management


  • PhD, Rutgers University
  • MA, Renmin University of China
  • BA, Renmin University of China


  • BUSMHR 3303 - HR Analytics

    This course is intended to prepare students with the necessary tools for using data analysis to inform HR decision-making and to analyze issues and problems in HRM. Prereq: English 1110.01 or equiv.

  • BUSMHR 4330 - Strategic Human Resource Management

    Examination of a strategic perspective for managing employees that emphasizes the use of ethical practices and evaluates how practices fit together with organizational objectives. Prereq: 2291 or 2292 (BusAdm 499.01); and 3200 (701), and AcctMIS 2200 (211), 2300 (212), and BusMgt 2320 (330), 2321 (331). Not open to students with credit for 769.

  • BUSMHR 7303 - People Analytics for Human Resource Management

    This course will familiarize students with the concept of data analytics (big data) and its applicability in a business environment. Students will have the opportunity to experience different statistical methods and data analytics software in order to analyze information while putting that data into a compelling story to help drive business decisions. Prereq: Enrollment in the MHRM program.

  • BUSMHR 8302.01 - Advanced Seminar: Selected issues in Human Resources Management I

    Advanced discussions of theory and research on human resource management. Prereq: Enrollment in Fisher College of Business Ph.D program, or permission of instructor. Repeatable to a maximum of 6 cr hrs.