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Methods in Management

Prof. Dr. Dr. h.c. Marko Sarstedt, Benjamin Maas

19.08.2021

Please register for the Moodle courses “Methods in Management WS 2022/23” and “Nutzung der virtuellen CIP Work Resources“. The access keys for these Moodle courses are available on LSF.
More detailed information will be available on LSF and Moodle.

Target Group Master students (M.Sc.)
Course Type Lecture, tutorial (in cooperation with Prof. Dr. Schwaiger and Prof. Dr. Nasev)
Cycle Winter term
Hours per week 2 (lecture), 2 (tutorial)
Grading Written exam (120 minutes)
Credits 6 ECTS in P1 (Fundamentals in Management) - PSTO 2018
Time/Room See LSF for lecture and tutorial
Contact Person For organizational questions, please contact Benjamin Maas. For content issues, please contact the tutors of the related topics.

Important information

Please carefully read the information provided in the Moodle course "Nutzung der virtuellen CIP Work Resources" for the computer tutorials of Prof. Nasev's part.

Please register for one of the computer tutorial groups of Prof. Nasev’s part between October 18, 2022 (20:00) and October 25, 2022 (23:59) via the following link: https://www.mercator.bwl.uni-muenchen.de/methbwl/.

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 is 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.

The course language is English.