Qualitative Comparative Analysis (QCA) is a set-theoretic methods that uses Boolean Algebra to identify configurations of conditions that explain the occurrence of a previously defined outcome. The method has been introduced more than 30 years ago by Charles Ragin and has since then spread in political science, sociology, and management. In management, the method has become a more and more established toolkit for the analysis of configurational phenomena. The method allows building and evaluation of configurational theory such as theory on organizational forms, innovation systems, HRM systems, entrepreneurial eco systems, and many more. Several high impact publications underline the importance of this method in management and neighboring disciplines.

This course provides an introduction into QCA with applications to theories in management research. It provides a general introduction in the foundations of QCA, distinguishes between different versions of QCA (crisp-set QCA, fuzzy-set QCA, and multi-value QCA), and gives an introduction into selected software packages such a fsQCA and R. During the course, students will design (in groups) their own QCA study, present their findings, and will deliver a short research report. Students may use their own data set for the group work.