Fuzzy set qualitative comparative analysis (fsQCA) and related methods are used within management research as a means to discover combinations of conditions (or management practices) that sufficiently explain a certain outcome, but, because these methods have been developed within the context of cross-country studies with small and medium-sized samples, they have proved difficult to interpret in the context of management studies, where sample sizes typically exceed 100 cases. This volume, written as a doctoral dissertation in economics for the U. of Paderborn (Germany), addresses this issue by guiding readers through the model specification process in fsQCA, with a focus on the challenges of large data sets; illustrating the potential of fsQCA in such fields as strategy, human resources management, marketing, and international business, where most scholars apply correlation-based methods such as regressions; and presenting an fsQCA analysis of 510 German engineering firms and the choice as to whether or not to adopt holistic group work in the workplace. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com)
Lisainfo e-raamatute kohta