Research Methods

Degree programme International Management and Leadership
Subject area Business and Management
Type of degree Master part-time
Type of course unit (compulsory, optional) Compulsory
Course unit code 025123022001
Teaching units 30
Year of study 2026
Name of lecturer(s) Florian BÜHLER, Kim HARTMANN
Requirements and Prerequisites

None

 

Course content
  • Introduction to Research Fundamentals: Research Designs, Quality Criteria
  • Qualitative Methods:
    • Data Collection (Interviews, Focus Groups, Case Studies, Observations)
    • Sampling in Qualitative Research
    • Planning and Conducting Interviews and Focus Groups
    • Analysis of Qualitative Data
  • Quantitative Methods:
    • Sampling Techniques
    • Design of Standardised Surveys
    • Use of Descriptive and Inferential Statistics
    • Overview of Multivariate Techniques (e.g., Factor Analysis, Regression Analysis)
    • Application of Quality Criteria in Research
Learning outcomes

Understanding and applying qualitative and quantitative research methods is crucial for conducting rigorous and valid research. These methods allow for the analysis of complex data and provide deeper insights into economic relationships. They offer a robust foundation for the systematic investigation of questions and the development of evidence-based solutions, enhancing the ability to effectively analyze and assess theoretical and practical problems.

Students...

  • can recognize the significance of empirical data in an economic context.
  • understand the entire process of empirical research.
  • can identify and apply fundamental concepts of empirical research.
  • understand qualitative and quantitative research methods, recognize their limitations, and know when to use them effectively.
  • can interpret research results empirically and critically evaluate them.
  • can independently plan and conduct empirical data collection and analysis processes.
  • can use the functionalities of common data analysis software such as R, SPSS, and MAXQDA.
  • understand and can apply the following cross-cutting themes within the context of the course:
    • business psychology
    • digital transformation
  • understand the relevance of the following FHV Future Skills:
    • Professional Mastery
    • Critical Thinking
    • Academic Creativity
    • Digital Literacy
    • Information Literacy
Planned learning activities and teaching methods
  • Lecture
  • Discussions
  • Practical Exercises
  • Online Software Training
  • The seminar provides an exemplary overview—self-study of topics not explicitly discussed is an essential component.
Assessment methods and criteria
  • Written comprehensive exam

(In the case of partial assessments, all parts must be passed positively.)

 

Comment

The courses ‘Research Methods’ and ‘Data Collection and Interpretation’ have a project character and are closely linked. A research concept is developed in the Research Methods course, which is then put into practice in the Data Collection and Interpretation course.

Recommended or required reading
  • Döring, Nicola; Bortz, Jürgen (2023): Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Berlin, Heidelberg: Springer Berlin Heidelberg (= Springer-Lehrbuch). Online im Internet: DOI: 10.1007/978-3-642-41089-5 (Zugriff am: 03.05.2023).
  • Saunders, Mark; Lewis, Philip; Thornhill, Adrian (2016): Research methods for business students. Seventh. Harlow: Pearson. Online im Internet: URL: https://go.exlibris.link/Wbc7ChZj (Zugriff am: 03.05.2023).
  • Collis, Jill & Hussey, Roger (2021): Business research. A practical guide for undergraduate and postgraduate students. 5th  Ed., Houndmills: Palgrave Macmillan.
Mode of delivery (face-to-face, distance learning)

Blended Learning:

  • Face-to-face instruction (70%)
  • Online instruction (30%)
    • synchronous (20%)
    • asynchronously supported (10%)