The aim of the course is to disclose the nature of social research development and main requirements for research and doctoral dissertation in social sciences. It also intends to discuss the scientific approach and the stages of research process, introduce students with the scientific contribution of research and make aware with conceptual foundations of research. Students will be introduced to main approaches of theory building and testing and corresponding choice of research strategy. Research as well as publication ethics will be discussed.

The aim of the course is to help the participants to acquire an intellectual identity through an
understanding of the main problems and positions in the theory and philosophy of the human and
social sciences as this is reflected in the discussions of these issues in the last half century and
give the participants an understanding of the relation to the history of these science.

This course is designed to give students the opportunity to learn about and practice qualitative methodology as it is used in organization studies. The emphasis is on learning basic qualitative research methods to enable the development of high quality research articles. This means that we will focus on how to collect and analyze qualitative data, how to write journal articles based on qualitative data, and how to get them published in quality journals.

The aim of the course is: to introduce students to multivariate data analysis with a special emphasis on structural equation modeling (SEM). SEM is a general approach to data analyses that overcomes many limitations of “traditional” methods by integrating them into a single, highly flexible, framework. Building upon the general linear model, the basic idea of SEM will be introduced in a stepwise fashion. We will thereby focus on the specification, identification, estimation, evaluation, and interpretation of different kinds of models from various areas of research in economics, management, and psychology. Special emphasis will be put on the use of SEM to analyze longitudinal data, including a discussion of static and dynamic models for the analysis of change. The seminar will be delivered as a mixture of lectures, hands-on computer exercises, open discussions and short quizzes. Along the way students will get to know different software packages to carry out SEM analyses.

This high-density, 3-day seminar focuses on the design, data-collection, analysis and write-up
of experimental research. It is geared towards marketing (because that’s my field of work), but
can be applied to other empirical fields as well. It is decidedly practical in nature, giving
participants a state-of-the-art overview of the approaches and methods used in the development
and analysis of experimental designs, while providing many opportunities for methodological
practice. In addition, the course is aimed at teaching and practicing advanced, but hands-on
research skills starting with generating interesting and testable hypotheses, via designing and
running studies in the lab to analyzing experimental data and reporting them in a research
paper.

The objective of this condensed PhD course is to familiarize students with various forms of qualitative research, and in particular with the role qualitative research can play in the development of theory. In PhD programs in business administration typically many theories are discussed, but not much attention is paid to the question where theories come from. As a consequence, young scholars are often much better prepared for doing empirical research than for theorizing, while both skills are necessary for an academic career.