This module explores key theories and models in Business Psychology and their relevance to current research and organizational practice.

We will examine psychological processes at the individual, team, and organizational levels, critically discuss theoretical assumptions and empirical evidence, and compare different theoretical perspectives.

Throughout the module, we will work on a concrete case, using different theoretical perspectives to analyze the case, develop research-based explanations, and derive possible approaches for organizational practice and intervention. In this way, the module connects theory, research, and real-world application.

The module provides an in-depth, research-oriented examination of the theoretical foundations and paradigms of Information Systems (IS) Research. It equips students with the necessary conceptual tools to theoretically model, critically analyze, and investigate complex digital phenomena, socio-technical systems, and emerging technologies across organizational, socio-technical, and individual levels.

The curriculum follows a top-down structure: starting from broad organizational and structural perspectives, progressing through socio-technical interactions, and focusing down to individual task-level behaviors. For Information Systems students, the module deepens the epistemological and theoretical core of their discipline. For students from related disciplines, it provides a rigorous theoretical framework for linking, for example, technical developments and psychological and behavioral constructs with system-centered IS models.


This module takes place Thursdays from 9:45 to 13:15 in room U 2.04

Lecturer: Svea Schauffler

In this module, you will work on your first research project as part of the IMRI Master’s program. The focus is on the structured approach to an interdisciplinary research, development, and innovation project. Key components include the analysis and definition of a real-world problem, the identification of the state of the art in the field, and the development of a scientifically sound project and research design.

This module introduces the principles of Good Research Practice (GRP) and responsible scientific work. Students engage with the DFG Guidelines, research integrity, authorship and collaboration, Open Science, publishing and peer review, as well as the responsible use of AI in research.

A further focus is on translating these principles into research practice. Students learn how to develop a research proposal, including the formulation of research questions and objectives, the theoretical and methodological rationale, research design, ethical considerations, data management, and principles of transparent and reproducible research.

These skills are also highly relevant beyond academia. The ability to develop a well-founded proposal, justify methodological choices, and communicate expected outcomes is valuable in many professional contexts – for example, when proposing and planning an evidence-based innovation or organizational project to management or external stakeholders.

Throughout the module, students critically reflect on responsible research practices and apply them to their own research projects.

Lecturer: Anne-Kathrin Kleine, René Jähne