Methods in Management
Principles, methods, and tools of empirical analysis in business administration
Quick Info: Master ׀ Lecture, tutorial ׀ English ׀ Winter term ׀ ECTS 6
General Information
| Target group | Master students (M.Sc.) |
|---|---|
| Course type | Lecture, tutorial (in cooperation with Prof. Dr. Schwaiger and Prof. Dr. Elsas) |
| Rotation | Winter term |
| Hours per week | 2 (lecture), 2 (tutorial) |
| Grading | Written exam (120 minutes) (Retake exam will be given in the following summer semester) |
| Credits | 6 ECTS in P1 (Fundamentals in Management) - PSTO 2018 |
| Course language | English |
| Time/Room | Refer to LSF for lecture and tutorial |
| Contact | For organizational questions, please contact Tobias Regensburger For content issues, please contact tutors of the related topics. |
Further course information
Important
Please register for the Moodle course “Methods in Management WS 2023/24”. The access key for this Moodle course is available on LSF tbd.
More detailed information will be available on LSF and Moodle tbd.
Please register for one of the computer tutorial groups of Prof. Dr. Elsas’ part between October tbd, 2024 (08:00 p.m.) and October tbd, 2024 (11:59 p.m.) via this Link tbd.
Course Overview
This module deals with the principles, methods, and tools of empirical analysis in business administration. It provides an overview of the key concepts of empirical methods in management research, and introduces selected approaches in greater detail, drawing on real-world examples.
Students will learn to identify suitable approaches to answer business-related questions, as well as to critically assess extant empirical analyses. Students will also learn the principles of various statistical methods. During the tutorials, students will apply these approaches and statistical methods to concrete tasks.
The Institute for Marketing will focus on conducting systematic literature reviews, on collecting primary data through surveys, and on discussing important choices in survey design. Particular focus will be put on the measurement of unobservable concepts (e.g., brand image, customer satisfaction, and service experience), which are of great concern in behavioral research. Students will also gain an overview of fundamental methods for validating and processing corresponding measures in empirical research. Furthermore, students will gain insights into company projects and the Institute’s recent research in the field.