Thesis Topics
Thank you for your interest in writing a Bachelor's or Master's thesis at the Chair of Information Systems Management. Below you find the current list of our research topics. Unless otherwise noted, thesis topics are open to Bachelor and Master students, can start immediately and should be preferably written in English language. Get in touch with us ideally 8 weeks before your intended start.
If you think one of these topics sounds promising, please use the registration form at the end of the page.
Important for bachelor students: Experience in scientific work in the field of IS/MIS is required, i.e. successful completion of the WAWI module and/or successful participation in an ISM seminar.
Topics
Response Rates in Empirical Organizational IS Research – Conducting a Meta-Analysis of Success Factors of Survey Design
Achieving high response rates in survey-based empirical studies is a challenging endeavor. Managers have little time and receive more questionnaires, which reduces their willingness to participate in surveys. In turn, for researchers, it is mission-critical to design survey processes in a way that the study attracts participation of as many managers as possible.
Aim of this master’s thesis is to review existing empirical studies in the Information Systems discipline which did survey-based studies at the organizational level (e.g., outsourcing management, IT business value, IT change & transformation, organizational adoption of IT/IS). A meta-analysis shall compare the studies with regard to their design (which companies, which manager roles, which “incentives”, which countries etc.) and try to identify factors that lead to higher vs. lower response rates.
An example for a comparable study of another research discipline can be found in (Hiebl/Richter 2018).
Method: literature review, meta-analysis
Language of master’s thesis: English
Literature for getting started:
- Hiebl, M.R., Richter, J.F. (2018): Response Rates in Management Accounting Survey Research. Journal of Management Accounting Research (30:2), pp. 59-79.
Supervisor: Prof. Dr. Daniel Beimborn