STV9411 - Organization Theory Approaches to the Study of Public Policy and Administration
The course aims at giving an overview of some organization theory approaches and their application in empirical research. One key focus is on explaining organizational and institutional change. Another is on the effects of organizational and institutional change. How do organizations’ structure, institutionalization, demography and locus affect actual decision-making behaviour and governance processes? What are the design implications? Empirical examples are mainly drawn from the executive branch of government at the supranational, national and subnational level.
The course is open to doctoral students in political science and related disciplines, who do, or plan to do, research in this area.
To apply for this course, please fill out the digital application form.
All candidates must submit a short letter of motivation with their application.
There is no participation fee, but the cost of travel and accommodation, if needed, must be covered by the participants. Applicants will be notified about the outcome of their application as quickly as possible after the application deadline.
Application deadline: Saturday 1 October 2016
- Professor Morten Egeberg, Department of Political Science and ARENA – Centre for European Studies, University of Oslo
- Tobias Bach, Department of Political Science, University of Oslo
- Tom Christensen, Department of Political Science, University of Oslo, and Rokkan Centre, University of Bergen
- Åse Gornitzka, Department of Political Science and ARENA – Centre for European Studies, University of Oslo
Participants are expected to have read the literature in advance in order to become active participants in the discussions (estimated work load: about 2 weeks).
Examination will rely on a submitted course essay of about 6000-8000 words. While it is obvious that such a paper should have an emphasis on theoretical and methodological issues in organizational research, requirements as regards empirical analysis have to be less stringent since many participants probably will be at a ‘pre-empirical’ stage of their own research (estimated work load: about 5 weeks).
Deadline for paper submission: Wednesday 1 March 2017