Qualitative Research Methods

Participation Prerequisites

Participants must be enrolled doctoral students. Those with scheduling conflicts that are likely to overlap with any course sessions are kindly asked to refrain from registering for this course.

Course Content

Research methods must fit research questions. As both grow more sophisticated, successful research designs increasingly combine multiple approaches within one paper. Therefore, this highly interactive course (i) provides participants with substantive knowledge of a broad range of qualitative approaches in business research (e.g., case studies, grounded theory, process studies, ethnography). Participants will further (ii) learn to effectively combine qualitative with quantitative methods—such as conducting expert interviews after lab experiments or survey studies—to interpret and enrich findings. Former participants also valued our in-depth coverage of (iii) how to successfully publish research papers. Special emphasis will be put on how to enhance theorization using artificial intelligence through leveraging large language models for qualitative analysis of data. 

Intended Learning Outcomes and Competencies

1. Gain insights into a broad set of qualitative research methods
2. Experience critical stages of qualitative research projects through practical exercises
3. Build expertise in successfully publishing qualitative research in leading journals

Instruction Type

Kick-off meeting (online), sessions on Vallendar campus (in-person).

Form of Examination

Guided discussion (60%), class participation (40%).

Literature

See syllabus.