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Welcome to the public course catalog of Zeppelin University!

You can use the filters to sort courses by semester, lecturers or study programs ("Keyword"). You can also enter course titles or numbers in the text field ("Offer number/title").
Courses taught in English can be found by using the respective keyword. Language courses and Additions (so called "ZUsätze") can also be found via keywords.

 

Advanced Methods | Studying the Digital Transformation of Workplaces

Description

This seminar aims at enhancing knowledge in empirical methods to study the consequences of the digital transformation for employees in organizations. Building on the empirical literature in management and applied psychology, there will be an introduction to different quantitative empirical approaches like experience sampling studies or experimental studies, their logic, and examples for implementation.

Learning objectives

Students

| are able to understand and evaluate empirical designs in the study of organizational life and behavior;

| are able to select research methods compatible to research questions connected to the digital transformation of organizations;

| are able to articulate arguments regarding emerging technologies through formal research questions that have practical relevance for organizations;

| are able to understand and evaluate the consequences of new digital technologies for the performance and well-being of employees.

Detailed information about the examinations

Midterm: Presentation

Second additional field

Please indicate the language of the course here:

English

Next events

1/6 Lecture Tu, 17.03.2026 13:30 Uhr 16:00 Uhr 2.02 | Forum
2/6 Lecture Tu, 24.03.2026 13:30 Uhr 16:00 Uhr 2.02 | Forum
3/6 Lecture Tu, 21.04.2026 13:30 Uhr 16:00 Uhr 2.02 | Forum
4/6 Lecture Tu, 28.04.2026 13:30 Uhr 16:00 Uhr 2.02 | Forum
5/6 Lecture Tu, 05.05.2026 13:30 Uhr 16:00 Uhr 2.05 | gelb
6/6 Lecture We, 06.05.2026 13:30 Uhr 16:00 Uhr 2.03 | Forum
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Course details

Offer code 123241-44 | 2B
Version 1 SP 26
Credits / ECTS 3
WSH 1.5
Frequence Every term

Lecturers

lecturer image
Prof. Dr. Matthias Weiß
Lecturer