Semester:WS 16/17
Art:Modul
Sprache:Englisch
ECTS-Credits:6.0
Plansemester:1
Lektionen / Semester:36.0 L / 28.5 h
Selbststudium:151.5 h
Art:Modul
Sprache:Englisch
ECTS-Credits:6.0
Plansemester:1
Lektionen / Semester:36.0 L / 28.5 h
Selbststudium:151.5 h
Modulleitung/Dozierende
- Prof. Dr. Stefan Seidel
(Modulleitung)
- Dr. Leona Chandra Kruse
(Modulleitungsassistenz)
Studiengang
Masterstudium Information Systems (01.09.2015)Lehrveranstaltungen
Beschreibung
Short description
The module provides an introduction to research methods.
Topics
- Introduction to scientific research
- Literature reviews
- Qualitative research
- Quantitative research
- Design science research
- Theories used in IS research
Learning objectives
- Students will know and understand the historical development of scientific research.
- Students will know and understand the concept of scientific research.
- Students will identify appropriate theories to explain empirical phenomena.
- Students will identify suitable research methods in order to seek answers to specific research questions.
- Students will use appropriate qualitative, quantitative, and design-oriented approaches to scientific research.
Methods
- The module integrates theoretical knowledge and practical skills in an interactive lecture.
- The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
This module is prerequisite for taking the Master’s thesis Module and writing the Master’s thesis
Compulsory reading
- Kumar, R. (2014). Research methodology: A step-by-step guide for beginners. London, UK: Sage Publications.
- Recker, J. (2012). Scientific Research in Information Systems: A Beginner’s Guide. Springer, Heidelberg, Germany.
Further reading
- Bryman, A. & Bell, E. (2011) Business research methods. Oxford, UK: Oxford University Press.
- Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches. London, UK: Sage Publications.
- Miles, M. B. & Huberman, A. M. (1994). Qualitative data analysis. An expanded sourcebook. London, UK: Sage Publications.
- Oates, B. J. (2006). Researching information systems and computing. London, UK: Sage Publications.
- Provost, F. & Fawcett, T. (2013). Data Science for Business. Sebastopol: O'Reilly Media