The Ph.D. Program in Human Resources Management (HRM) prepares students for success in research universities as faculty members specializing in human resources. The field of human resources is dedicated to a better understanding of how work organizations can perform more effectively by better management of their people. Many HRM scholars specialize or focus on more micro-level work, such as researching the impact of specific HR practices (e.g., selection or training techniques) on individual-level measures of satisfaction or performance. Alternatively, macro-level HR (i.e., “strategic HRM”) scholars study the effects of systems of HR policies and practices on organizational-level outcomes. KU faculty have expertise at both levels, as evidenced by publications in prestigious outlets such as Personnel Psychology, Journal of Applied Psychology, Academy of Management Journal, Organization Science, Industrial and Labor Relations Review, etc. PhD students work closely with faculty to gain research and teaching expertise in the various functions and activities carried out as part of HRM, including the relationship between these practices and organizational strategies, cultures, and performance. Major topics include staffing, performance management, compensation, training and development and labor relations.
1. BE 701: Business Economics OR BE 917: Advanced Managerial Economics
OR ECON 700: Survey of Microeconomics
2. MGMT 905: Philosophy of the Behavioral and Organizational Sciences
3. MGMT 906: Behavioral Research Methods
4. MGMT 916: Seminar in Organization Theory
5. MGMT 950: Acquiring and Preparing Human Resources
6. MGMT 951: Retaining and Utilizing Human Resources
7. MGMT 952: Strategic Human Resource Management
8. MGMT 953: Designing Effective Work Environments in Organizations OR
MGMT 954: Individual and Interactionist Perspectives of Organizations OR
MGMT 955: Creativity, Innovation, and Change in Organizations OR
MGMT 956: Economic Theories of Strategic Management OR
MGMT 957: Behavioral Theories of Strategic Management OR
IBUS 950: Research in International Management and Strategy OR
MGMT 998: Independent Study in Management
Human Resources Minor (Research Methods)
One of the two sequences below:
10. PSYC 790: Statistical Methods in Psychology
11. PSYC 791: Statistical Methods in Psychology II
10. DSCI 920: Probability for Business Research
11. DSCI 921: Statistics for Business Research
12. PSYC 893: Multivariate Analysis
13. PSYC 894: Multilevel Modeling
14. PSYC 896: Structural Equation Modeling I
15. One elective from the following below.
PSYC 996: Structural Equation Modeling II OR
PSYC 895: Categorical Data Analysis OR
EPSY 812: Meta-Analysis OR
EPSY 814: Nonparametric Statistics OR
an equivalent course
Program Requirements and Information
Area of Concentration
Most students typically will select the specific area to which they are admitted (human resources) as their concentration. However, an aspirant, with the assistance of his or her faculty advisor and the area faculty, may propose an interdisciplinary area of concentration that is a combination of the traditional business disciplines of accounting, information systems, finance, marketing, decision sciences, organizational behavior, and strategic management. An aspirant may also propose an interdisciplinary area of concentration that includes emphases such as international business, law, and economics. The aspirant must take at least five advanced courses in the area of concentration. These courses may include those offered outside the School of Business.
Coursework in the area of concentration is supplemented and strengthened by study in one or two supporting areas. A supporting area is one that supplements and complements the area of concentration. The aspirant will satisfy the supporting area requirement by taking at least four advanced courses in the supporting areas (at least two courses in each of two supporting areas, or at least four courses in one supporting area). Courses recommended for preparation for the qualifiers may not be included in satisfying the supporting area requirement.
For successful qualifier assessment, the student’s program of study should include adequate preparation in research methodology. A sound research is always grounded on sound methodology. A doctoral student in decision science has the opportunity to develop methodological skill in probability and statistics, optimization, uncertain reasoning, game theory, and econometrics. A typical doctoral dissertation often utilizes one or more of the following research methodology: empirical, analytical, behavioral, and computational.
Degree Completion Timeline
Years 1-2: Coursework* Year 3: Comprehensive Exams Year 4: Dissertation Proposal Year 5: Dissertation Defense (Some students can complete the program in four years.)
Over the past several years, our PhD graduates have been placed at schools such as Ohio State University, George Washington University, and Towson University. A complete list of placements can be found here