Traditionally most social researchers either employ purely qualitative or quantitative methods, even though a mixed method strategy may promise better results. The present paper introduces Qualitative Comparative Analysis (QCA) as a mixed method alternative for data analysis. It may be of particular value when dealing with small-n case studies, which typically do not permit profound statistical testing. QCA enables researchers to filter those variables or combinations of variables that empirically result in (and possibly explain) a certain outcome. As such, the method can also be used to analyze the impact of social networks on companies’ innovation performance and promises valuable new insights in the field.
Inhaltsverzeichnis
1. Introduction
2. Methods of social research
2.1 Quantitative method
2.2 Qualitative method
2.3 Mixed method
3. Qualitative Comparative Analysis (QCA)
3.1 Procedure and logic of QCA
3.2 Strengths and weaknesses of QCA
4. Applying QCA to innovation networks studies
4.1 Research setting
4.2 QCA and innovation networks
5. Conclusion
6. Executive summary
7. Literature
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