This online course introduces students to the research methods applied in the fields of entrepreneurship and innovation management. It follows self-paced learning principles, and offers students the option to decide the order of learning topics. In particular, the course focuses on “how to collect reliable data” by providing exercises for different data collection techniques, such as interviews, observations, surveys, and secondary data (e.g. news articles, tweets, Facebook/Youtube comments).


  • The course focuses on “how to do good qualitative research” by offering training in techniques for qualitative analysis, such as Gioia method, discourse analysis, critical incident analysis, visual methods, and qualitative comparative analysis (QCA).
  • The course also addresses “how to do good quantitative research” by learning some basic techniques for conducting statistical analysis, such as descriptive statistics, bivariate and partial correlations, factor analysis, reliability tests, linear regression and logistic regression. Students engage with the basics of qualitative as well as quantitative research, and engage more deeply in one research methodology of their interest.


Learning Outcomes:

Students gain competencies in conducting qualitative and quantitative research. They are able to evaluate the suitability of methods for particular research questions, and to develop both quantitative and qualitative research designs. Students also learn the basics in qualitative and quantitative data collection and in conducting qualitative and quantitative analysis as part of online-exercises. As a final outcome, students are masters of one of their preferred research method, which can be directly applied in their Master’s thesis work or any other research project; in particular, students are able to write a comprehensive and concise method section, including data collection and data analysis.


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Teacher: Steffen Farny

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