Lecturer | Prof. Martin Wiener TU Dresden, Chair of Business Information Systems, esp. Business Engineering |
Date | Wednesday, February 14, 2024, 01:00 pm – 06:00 pm Thursday, February 15, 2024, 09:00 am – 3:00 pm |
Room/Address | TU Dresden, Faculty of Business and Economics Georg-Schumann-Bau, Room SCH B 37 |
Seminar Content | After a short introduction to qualitative research (methods), the seminar will build on Robert K. Yin’s (2017) seminal textbook to introduce and review key concepts, techniques, and strategies along the different stages of case study research, namely: (1) How to know whether and when to use the case study as a research method; (2) Designing case studies; (3) Preparing to collect case study evidence; (4) Collecting case study evidence; (5) Analyzing case study evidence; (6) Reporting case studies. For each stage, there will be a discussion of illustrative examples taken from a case study recently published in a top-tier journal (Maruping & Matook 2020) and/or hands-on exercises. Towards the end of the seminar, participants will be asked to develop and present an initial design for a future case study of their choice. The seminar will conclude with a discussion of key misunderstandings about case study research (Flyvbjerg 2006) and an open Q&A session. There will be two mandatory reading assignments. Participants are expected to read the assigned articles before attending the seminar. |
Certificate | Doctoral candidates from the Faculty of Business and Economics, TU Dresden can earn a certificate according to § 9 of the Ph.D. doctoral regulations (PromO 2018): Doctoral candidates of Business Administration: § 9 (1) Nr. 5 or 6 Doctoral candidates of Business Information Systems: § 9 (1) Nr. 6 Doctoral candidates of Economics: § 9 (1) Nr. 6 Doctoral candidates from other universities can earn a certificate as well. |
Assignment | (1) Reading of/familiarization with preassigned articles Mandatory Readings:
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Registration | Participation is limited (max. 20). The registration deadline is set for 31.01.2024. To register send an e-mail to Dr. Uta Schwarz: uta.schwarz@tu-dresden.de Phone: +49 351 463-33141 |