Administrivia

Information Systems Research (ISR)

Andy Weeger

Neu-Ulm University of Applied Sciences

May 8, 2026

Motivation

Research aims to advance understanding of reality before providing advice on how to change it.

Contents

Research is the process of describing phenomena we perceive in the world, articulating theories to account for these phenomena, and testing how well the theories explain the observed phenomena (Weber, 2003).

This course teaches you basic things you need to do your own research project (e.g., as part of your master’s thesis), particularly regarding:

  • Theory of science and knowledge acquisition
  • Basic principles of research (in IS)
  • The research process
  • The role and nature of theory
  • Research design with a focus on the basics of quantitative and qualitative research methods as well as design science research

Learning outcomes

You will advance your knowledge and skills in following areas.

  • Understanding the fundamentals of doing sound research and the need for focus (especially the alignment of research question, theory, and methods)
  • Understanding the need for theory-guided explanations of real-world phenomenon and approaches and the nature and role of theory in IS research
  • Ability to chose adequate research methods depending on the research objective (incl. related data acquisition and data analysis techniques)
  • Crafting own theoretical contributions and evaluating those of others, while maintaining academic integrity and uphold the standards of good academic work

Learning set-up

This course combines five days of distributed teaching with afternoon workshops, peer feedback, coaching, and self-learning components.

  • The self-learning components are necessary to prepare and reflect the teaching sessions and to pass the assignment. They include reading the lecture notes.
  • The teaching sessions (mornings) give you the input on IS research fundamentals. The linked workshops (afternoons) apply that input directly to your group’s research question and deliverables.
  • Peer feedback in November is individual and pseudonymous: you give structured feedback on one other group’s theory video; the receiving group grades the feedback.
  • Coaching slots in late November and early December give each group 15 minutes of direct feedback before the poster deadline.

The learning progress is reflected in multiple assignments.

Effort

You will gain 5 ECTS for this course. This equals min. 130 hours workload for an average student required to pass the course.

  • Teaching sessions including preparation and follow-up: approx. 35 hours
  • Assignment (video, reflections, poster, conference): approx. 95 hours

Please prepare your schedule accordingly.

Schedule

Date Topic Lecturer Location
Thu, 08.10. From phenomena to questions (Introduction & process) tbd Innovation Space
Thu, 08.10., eod Deadline: Group formation Moodle
Thu, 15.10. Theory as a lens (Theory) tbd Innovation Space
Fri, 15.10. Deadline: Theory selection Moodle
Fri, 16.10. Designing for evidence (Research design & quantitative methods) tbd Innovation Space
Thu, 22.10. Designing for understanding (Qualitative methods) tbd Innovation Space
Fri, 23.10. Alignment and artifact (DSR plus alignment & poster principles) tbd Innovation Space
Fri, 20.11. Deadline: Theory video & individual reflections Moodle
Fri, 27.11. Deadline: Peer-feedback submission Moodle
Thu, 08.10. From phenomena to questions (Introduction & process) tbd Innovation Space
Thu, 03.12. Poster coachings (15 minutes per group; online) tbd Zoom
Wed, 09.12. Deadline: Poster final Moodle
Fri, 11.12. Research conference: poster pitches + Q&A All tbd
Table 1: Schedule winter term 2026 (subjected to changes)

Q&A