Program Structure and Course Requirements
The program of study leading to the doctoral degree involves an intensive period of course work and research, along with opportunities to teach. Major program requirements include: (a) graduate course work; (b) faculty/student research assignments; (c) a candidacy examination, the centerpiece of which is a comprehensive examination with written and oral components; (d) a scholarly empirical research “Working Paper” based on the student's own theoretical framework; (e) a doctoral dissertation based on original theory, data, and analyses. Assuming good progress, a graduate assistantship supports the work of all students admitted into the program throughout their residency. The program requires at least four, and usually five years to complete.
- Seminar in Organizational Behavior - MGMT 528 (3 credits)
Examines theory and research focusing on individual and small group behavior within organizations. Topics typically covered include: leadership, motivation, teams, decision-making, cognitive processes, diversity, organizational justice and fairness, conflict management, and individual differences in organizations.
- Seminar in Organization Theory - MGMT 538 (3 credits)
Examines various theoretical perspectives used to understand organizations and their actions. Theories typically covered include: scientific management, human relations, bureaucracy, contingency theory, the behavioral theory of the firm, resource dependence theory, institutional theory, networks and social capital, population ecology, sensemaking and enactment, organizational economics, social movement theory, status, reputation and celebrity.
- Seminar in Corporate Strategy - MGMT 578 (3 credits)
Examines theory and research focusing on the interrelationship between strategy, structure and performance at the organizational and industry levels. Topics typically include: business strategy, corporate strategy, corporate governance, organizational performance, environmental and industry forces, resource-based views of the firm, and strategic decision-making.
- Colloquium - MGMT 590 (6 credits; 1.5 credits per semester taken semesters 1-4)
All Management and Organization Ph.D. students take this professional colloquium for their first two years in the program. Each fall semester, the colloquium focuses on reading and discussing management classics in addition to discussion of other topics of relevance to the student’s socialization into the field of management and organization study (e.g., the publication process, job search process, scholarly review process, etc.) In the spring semester, the colloquium focuses mainly on writing an academic paper. Students typically choose a paper that they would like to move toward publication, and work on the paper over the semester with guidance from the colloquium faculty member, as well as fellow students, and other faculty members in the Department. Students may present their papers at the end of the spring semester. Our Ph.D. alumni tell us that the colloquium is one of their favorite program features.
- Organizational Research Design - MGMT 591 (3 credits)
This seminar introduces the student to research methodologies used for testing hypotheses. The course focuses on (1) hypothesis modeling; (2) research design; (3) measurement, and (4) data collection methods. Students acquire a basic understanding of conventional quantitative approaches and processes employed in organization science and develop a conceptual background for undertaking an original program of scientific research.
- Qualitative Research Methods - MGMT 592 (3 credits)
Exposes students to a wide variety of qualitative research strategies including participant observation, ethnography, in-depth interviewing, historical analysis, fieldwork, action research, interpretive research approaches, analytic induction, and other observational techniques such as unobtrusive measures. We give attention to all stages of the inquiry process from research design from data collection and analysis to presentation and publication of research findings.
- Introduction to Business Research (3 credits)
This course is required of all Ph.D. students in the Smeal College of Business. It includes philosophy of science content as well as an opportunity to learn about theory and research perspectives from different business disciplines.
- Smeal Scholars Colloquium (1 credit)
This is a college-level course required of all Smeal Ph.D. students. It is designed to cover professional development topics that apply across functional areas.
- Teacher Training Mini-Camp
The college offers a teacher training mini-camp to all Ph.D. students, which you are required to take it before your first teaching assignment.
- The Upper Echelons Perspective: Theory and Research - MGMT 535 (3 credits)
To learn to evaluate and conduct research on top executives and their influence on organizational strategy, structure and performance.
- Seminar in Organizational Social Networks - MGMT 539 (3 credits)
This course familiarizes doctoral students with the theory, research and methodological issues connected with social network analysis in organizational contexts. The course encompasses topics from the micro level (e.g., cognition and networks) to the macro level (e.g., interorganizational networks) and introduces a range of network ideas concerned with centrality, structural holes, embeddedness, and social capital. Class periods will consist mainly of focused discussion of academic papers, but will also include discussion of data analysis exercises, and student presentations. Upon completion of the course, students should have a good grasp of social network concepts and methods and be able to use them to conduct research. The course requirements include participation in discussion, the completion of data analysis exercises, and the writing of a research paper.
- Advanced Analytical Skills - MGMT 597A (3 credits)
This seminar builds upon previous statistics courses to teach students advanced skills in exploratory and confirmatory factor analysis, advanced topics in regression analysis, and structural equations modeling. During the course of the semester, students analyze their own data and write a paper of publishable quality.