Quantitative Methods
Theses in the field of quantitative methods offer the opportunity to analyze properties, make improvements, and apply these methods to business issues.
Quantitative methods are valuable tools highly appreciated in the context of decision-making preparation. The IMM also works on their further development and application to new areas (e.g., scenario analysis, bimodal classification methods). For this reason, thesis projects that focus on the analysis of quantitative methods, their improvement in the algorithmic domain, and/or their application to business-related issues are suitable.
Literature
- Malhotra, N. K. (2009): Marketing Research. An Applied Orientation, 6th Edition, Financial Times/Prentice Hall.
- Sarstedt, M.; Mooi, E. A. (2014): A Concise Guide to Market Research. The Process, Data, and Methods Using IBM SPSS Statistics, 2nd Edition, Springer.
- Hair, J. F., G. Hult, C. Ringle, and M. Sarstedt (2016), A Primer on Partial Least Squares, Structural Equation Modeling (PLS-SEM), 2nd Edition, Thousand Oaks: Sage.