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Mannheim Master in Business Research “Management” - 1
Module Catalog
“Mannheim Master in Business Research”
(M.Sc.)
Track “Management”
University of Mannheim
(Last update: 08.12.2016)
Mannheim Master in Business Research “Management” - 2
Index A. Methods .............................................................................................................................. 6
B. Economics ........................................................................................................................ 30
C. Management ..................................................................................................................... 33
D. Master’s Thesis ................................................................................................................ 48
Mannheim Master in Business Research “Management” - 3
Track “Management“: Curriculum
Semester 1
Field C/E1 Name of Module ECTS
M C CC 501 Decision Analysis 6
ECO2 C CC 502 Applied Econometrics 6
ECO C BE 510 Business Economics I 6
MAN3 /
M E
MAN 630/645/ 646 /
XXX
New Public Management / Introduction to
Entrepreneurship / Leadership and Motivation / HR
Analytics / Method course GESS
3-14
MAN /
M E
MAN 630/ 645/646 /
E 700/ 701/703/
829/863/ 871/880/
882 / MKT 903/
TAX 916 / XXX
New Public Management / Introduction to
Entrepreneurship / Leadership and Motivation / HR
Analytics / Mathematics for Economists / Advanced
Microeconomics / Advanced Econometrics I /
Empirical Industrial Organization / Discrete Choice
and Duration Models / Nonparametric Curve
Estimation / Graduate Public Economics: Empirical
and Quantitative Methods / Stochastic Networks /
Advanced Business Econometrics / Applied
Econometrics / Cross-sectional Analysis /
Multivariate Analysis / Game Theory / Advanced
Quantitative Methods / Longitudinal Data Analysis /
Multilevel Modeling / Modeling Social Processes /
SOEP-Workshop / Bayesian Statistics / Introduction
into R / Meta-Analysis
3-14
Semester 2
Field C/E Name of Module ECTS
M C CC 503 Empirical Methods 6
ECO C BE 511 Business Economics II 6
MAN C MAN 801 Advances in Entrepreneurship and Management
Research
6
MAN C MAN 804 Advances in strategic Management 6
MAN / M E MAN 625/632/
647/648/ 654/655 /
CC 504 / E 700/
701/703/ 829/863/
871/880/ 882 /
MKT 903/ TAX
916 / XXX
Organizational Structures Within an Between Firms
/ Advanced Entrepreneurship / Strategic and
International Human Resource Management /
Incentives and Performance / Corporate
Restructuring / Corporate Strategy: Managing
Business Groups / Corporate Social Responsibility /
Mathematics for Economists / Advanced
Microeconomics / Advanced Econometrics I /
Empirical Industrial Organization / Discrete Choice
and Duration Models / Nonparametric Curve
Estimation / Graduate Public Economics: Empirical
and Quantitative Methods / Stochastic Networks /
Advanced Business Econometrics / Applied
3-14
1 Compulsory / Elective 2 Economics 3 Management
Mannheim Master in Business Research “Management” - 4
Econometrics / Cross-sectional Analysis /
Multivariate Analysis / Game Theory / Advanced
Quantitative Methods / Longitudinal Data Analysis /
Multilevel Modeling / Modeling Social Processes /
SOEP-Workshop / Bayesian Statistics / Introduction
into R / Meta-Analysis
Semester 3
Field C/E Name of Module ECTS
M C Crafting Social Sciences Research 6
M C Compact course in Mathematics for Social Scientists 2
MAN C MAN 802 Fundamentals of Non-Profit Management Science 6
MAN C MAN 805 Applied Methods in Management Research 6
MAN C MAN 806 Advances in Organization and Innovation Research 6
MAN C MAN 910 Area Seminar 1
M E E 700/ 701/703/
829/863/ 871/880/
882 / MKT 903/
TAX 916 / XXX
Mathematics for Economists / Advanced
Microeconomics / Advanced Econometrics I /
Empirical Industrial Organization / Discrete Choice
and Duration Models / Nonparametric Curve
Estimation / Graduate Public Economics: Empirical
and Quantitative Methods / Stochastic Networks /
Advanced Business Econometrics / Applied
Econometrics / Cross-sectional Analysis /
Multivariate Analysis / Game Theory / Advanced
Quantitative Methods / Longitudinal Data Analysis /
Multilevel Modeling / Modeling Social Processes /
SOEP-Workshop / Bayesian Statistics / Introduction
into R / Meta-Analysis
3-14
Semester 4
Field C/E Name of Module ECTS
MAN C MAN 910 Area Seminar 1
Thes4 C MAN 950 Proposal Development 9
Thes C Master Thesis 15
M E E 700/ 701/703/
829/863/ 871/880/
882 / MKT 903/
TAX 916 / XXX
Mathematics for Economists / Advanced
Microeconomics / Advanced Econometrics I /
Empirical Industrial Organization / Discrete Choice
and Duration Models / Nonparametric Curve
Estimation / Graduate Public Economics: Empirical
and Quantitative Methods / Stochastic Networks /
Advanced Business Econometrics / Applied
Econometrics / Cross-sectional Analysis /
Multivariate Analysis / Game Theory / Advanced
Quantitative Methods / Longitudinal Data Analysis /
Multilevel Modeling / Modeling Social Processes /
SOEP-Workshop / Bayesian Statistics / Introduction
into R / Meta-Analysis
3-14
4 Master’s Thesis
Mannheim Master in Business Research “Management” - 5
In the “Mannheim Master in Business Research” the following superordinated program-
specific learning goals (LG) will be covered:
LG 1 Profound research capabilities - Students demonstrate an awareness of problems in
their work and are able to independently conduct high-quality scientific research in
their chosen business subject.
LG 2 Proficiency in research methods and analytics - Students are able to profoundly
employ research methods and analytics in their chosen business subject.
LG 3 In-depth subject knowledge - Students have an in-depth knowledge of their chosen
business subject.
LG 4 Academic discourse skills - Students demonstrate their proficiency in academic
discourse skills.
Mannheim Master in Business Research “Management” - 6
A. Methods
Module: CC 501 Decision Analysis
Contents:
In this course we discuss methods and concepts that were developed to support and improve
rational decision making in various areas of application. We will cover decisions under
certainty and risk (EUT), decisions with single and multiple objectives, and decisions given
incomplete information about probabilities or preferences. The course also covers descriptive
decision theories such as Prospect Theory. An introduction into probability calculus including
Bayes Theorem will be given. We will also discuss various visualization techniques such as
decision trees and decision matrices.
Learning outcomes:
After completing the course students will know about rational decision processes, and how to
structure and visualize decision problems. They will be able to use decision analysis techniques
at an easy level to deal with multiple objectives, risk, intertemporal outcomes and incomplete
information. Moreover they will know about typical behavioural findings that conflict with the
prescriptive methods.
Prerequisites:
Formal: -
Recommended: Every student participating in this course should have completed the 2-
semester finance module of the Mannheim Bachelor program (or equivalent courses). The
lecture generally assumes basic knowledge in mathematics (calculus, optimization) and
statistics (mean, variance, standard deviation).
Obligatory registration: no Further information on registration: -
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Final exam (90 min., 100%)
Preliminary course work -
Duration of module 1 semester
Offering Fall semester and Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf.,
M.Sc. Bus. Math., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 7
Module: CC 503 Empirical Methods
Contents:
Theoretical foundations of empirical research. Statistical foundations of empirical research
(key summary statistics, important theoretical probability distributions, methodology of
hypothesis testing and key test statistics). Introduction to qualitative empirical research.
Introduction to experimental empirical research. Introduction to survey-based empirical
research. Introduction to empirical research based on secondary data.
Learning outcomes: By the end of the module:
- participants understand the epistemological possibilities and limitations of empirical
research in the domain of business administration.
- participants are capable to describe a dataset using appropriate summary statistics and test
simple hypotheses about the structure of the data.
- participants know the general approach to conducting qualitative studies, experimental
studies, survey-based studies and studies based on secondary data.
- participants understand fundamental methods for analyzing causal relationships
(particularly ANOVA and analysis of regression). They are able to properly interpret
results form these methods.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: no Further information on registration: -
Courses Hours per week Self-study
Lecture 2 6
Exercise 1 3
ECTS in total 6
Form of assessment Written exam of 90 min.
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Arnd Vomberg
Duration of module 1 Semester
Offering Fall semester and Spring semester
Language German in Fall semester; Spring semester English
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf.,
M.A: K&W, M.Sc. MMBR
Mannheim Master in Business Research “Management” - 8
Module: Crafting Social Sciences Research
Contents:
All researchers face similar challenges with core issues of research design. A research design
is a plan that specifies how you are going to carry out a research project and, particularly, how
to use evidence to answer your research question. The goal of this course is to jump-start
students with their dissertation proposal. This course should help students to see the trade-offs
involved in choosing a particular research design in their research proj. Consequently students
are expected to develop own ideas about potential research questions and actively participate
in those seminar-style meetings that are organized within this lecture course.
Learning outcomes:
The goal of this course is to jump-start students with their dissertation proposal. Such a
proposal is a research outline that delineates the doctoral thesis project, including the
motivation for research question(s), the survey of the relevant theoretical and empirical
contributions, the development of a theoretical framework, the specification of the
methodology and planned empirical analysis. You should be prepared to address the following
questions: What makes that an interesting question? Is it an important question? What
contributions would this question and the answers make to the scholarly literature? What
strategies are there to answer your research question(s)?
This course should help students to see the trade-offs involved in choosing a particular research
design in their research projects. Consequently, students are expected to develop own ideas
about potential research questions and actively participate in those seminar-style meetings that
are organized within this lecture course.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further information on registration: Website of the CDSS
Courses Hours per week Self-study
Lecture 2 10
ECTS in total 6
Form of assessment Draft dissertation proposal (10 pages)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Thomas Gschwend
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application MMBR, CDSS Doctoral Program
Mannheim Master in Business Research “Management” - 9
Module: Compact course in Mathematics for Social Scientists
Contents:
In recent decades applications of statistics and formal modelling have become part of the main
stream in political science. Their contribution to our field cannot be overestimated. However,
using these methods may be cumbersome without knowledge of the fundamental math behind.
This course is to provide you with some of these fundamentals, which are beneficiary to your
understanding of formal methods (like game theory) and statistics during your M.A. studies
here at Mannheim. It is therefore recommended to take the course at the beginning of your
M.A.
Learning outcomes:
By the end of the module students know the fundamentals of math behind applications of
statistics and formal modelling.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further information on registration: Website of the CDSS
Courses Hours per week Self-study
Block Seminar 2 2
ECTS in total 2
Form of assessment Written Exam (120 mins)
Preliminary course work -
Lecturer/Person in charge Martin Kroll
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application MMBR, CDSS Doctoral Program
Mannheim Master in Business Research “Management” - 10
Module: E 700 Mathematics for Economists
Contents: The course consists of four chapters:
Chapter 1: basic mathematical concepts like sets, functions and relations are introduced and
discussed. Strict mathematical reasoning is explained and applied.
Chapter 2: covers the concept of metric and normed spaces and discusses the convergence of
sequencesin these spaces, the continuity of functions, and the concept of compact sets.
Chapter 3: deal with vector spaces. matrix algebra, linear transformation, and eigenvalues of
matrices.
Chapter 4: covers a multivariate concept of differentiability and its application in solving
unconstraint and constrained optimization problems.
Learning outcomes: The students know basic mathematical concepts of analysis and linear algebra. They can
interpret mathematical formulas that are written in the condensed mathematical syntax. The
students understand the concept of a proof and can develop rigorous mathematical proofs in a
elementary level. They understand abstract mathematical concepts like metric spaces and
linear spaces and are able to comprehend argumentation on basis of abstract mathematical
concepts. They are able to apply their konwoledge; especially they are familiar with the
calculation of limits and derivatives, the methods of linear algebra, and they can solve
nonlinear optimizataion problems. The students are able to communicate their mathematical
kowledge in English.
Prerequisites:
Formal: -
Recommended: basic mathematical knowledge
Obligatory registration: yes Further Information on registration: Website of CDSB
Courses Hours per week Self-study
Lecture / Block Seminar 2 10
ECTS in total 6
Form of assessment Written exam (120 min)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Leif Döring
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. Econ., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 11
Module: E 701 Advanced Microeconomics I
Contents: The course gives a foundation for studies for nicroeconomics at a PhD level. The first part is
devoted to consumer and producer theory. It is organized as follows:
• Consumer choice, the weak axiom of revealed preference and the law of demand (Mas-
Colell, Whinston and Green, Chapter 2)
• Classical demand theory, presenation theorem, utility maximization, expenditure
minimization and duality (MWG Ch. 3)
• Production, profit maximization and cost minimization (MWG Ch. 5)
• Choice under uncertainty, represenation theorem, money lotteries and risk aversion
(MWG Ch. 6)
The second part covers game theory and is organized as follows:
• Static games of complet information: Normal form games, existence of Nash equilibria
(Fudenberg and Tirole Ch. 1)
• Dynamic games of complete information: extensive form games, subgame perfection
and repeated games (FT, Ch. 3-5)
• Static games of incomplete informtaion: types, Bayesian equilibrium and purification
(FT, Ch. 6)
• Dynamic games of incomplete inforamtion: perfect Bayesian equilibrium, sequential
equilibrium and forward induction (FT, Ch. 8 and 11)
Learning outcomes: Students learn the baisc tools for graduate level microeconomic analysis. The concepts learned
in the course serve as building blocks for more advanced topics such as the ones studied in
Advanced Microeconomics 2 and 3 and also for macroeconomics and empirical studies.
Students also learn using rigorous formal proofs for microeconomic questions.
Prerequisites:
Formal: -
Recommended: E 700
Obligatory registration: yes Further Information on registration: Website of CDSB
Courses Hours per week Self-study
Lecture 3 9
Exercise 1.5 2.5
ECTS in total 8
Form of assessment Written exam: 120 min (90% weighting)
Exercises (10% weighting)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Nicolas Schutz
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals
Grade graded
Mannheim Master in Business Research “Management” - 12
Range of application M.Sc. Econ., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 13
Module: E 703 Advanced Econometrics I
Contents: The course is designed to offer an advanced treatment to econometric theory and applications.
Topics covered include: Repetition of ordinary least squares and generalized least squares,
instrumental variables estimation, simultaneous equations, generalized method of moments
and maximum likelihood estimation, time series and panel data econometrics. Attendance in
the lectures and exercise sessions are mandatory. Attempting exercise questions ahead of each
session and taking active part during the course of the sessions is essential.
Learning outcomes:
By the end of the module students will:
• have advanced theoretical knowledge in econometrics in the specific topics the module
covers.
• be familiar with current theories and recent developments in the specific topics of focus
for the module.
• have a higher/advanced level of analytical capability.
• have knowledge in the probabilistic background of advanced theoretical econometrics.
• be in a position to take on follow-up advanced theoretical and applied econometrics
modules.
• have a level of competence that permits independent undertakings in search of new
knowledge in the specialist areas the module covers.
• have a level of competence required to carry out (theoretical) research-oriented projects
independently.
• be in a position to exchange information, ideas, and solutions with experts of the field
on a scientific level as well as with laymen.
• be able to communicate and to work effectively and efficiently with people and in
groups.
• be able to communicate precisely in the English specialist language.
Prerequisites:
Formal: -
Recommended: E 700
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Lecture
Tutorial
2
2
6
6
ECTS in total 8
Form of assessment written exam (180 min., 90%), assignment (10 %)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Johannes Voget
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals
Mannheim Master in Business Research “Management” - 14
Grade graded
Range of application M.Sc. MMBR, M.Sc. Econ.
Mannheim Master in Business Research “Management” - 15
Module: E 829 Dynamic Models in Empirical Industrial Organization
Contents: Goals and Content of the Module: This course covers recent techniques in development and
estimation of dynamic models. Each topic will be related to one or more recent papers
(particular papers from the reading list will be assigned later). We will discuss in detail the
model, research question, sources of identification and estimation methodology in each
paper.
1. Single agent dynamics: Math preliminaries, Dynamic programming, Estimation methods
in dynamic models, Applications (bus engine replacement, patent renewal)
2. Dynamic Demand for differentiated products: Durable goods, Consumer inventory
behaviour
Learning outcomes: The students are expected to learn modern empirical methods in industrial organization with a
strong focus on dynamic decision making. In particular, they should be able to formulate a
model of optimal consumer and/ or producer decisions in an environment with state
dependence and estimate the structural parameters using appropriate data and numerical
techniques. Expertise gained in the course allows for using empirical methods to conduct
counterfactual simulations to quantitatively evaluate various governmental policies and
regulations. Successful completion of the course equips students with the knowledge necessary
to conduct an independent research project as a part of doctoral study.
Prerequisites:
Formal: -
Recommended: E 700- E703, E801- E805
Obligatory registration: yes Further Information on registration: Website of CDSB
Courses Hours per week Self-study
Lecture 2 8
Exercise 1 3
ECTS in total 7
Form of assessment Completion of a computation problem set applying
several methods learned in the course
Preliminary course work -
Lecturer/Person in charge Jun.-Prof. Kathleen Nosal, Ph.D.
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMBR, doctoral programs
Mannheim Master in Business Research “Management” - 16
Module: E 880 Graduate Public Economics: Empirical and Quantitative Methods
Contents: The course covers empirical methods needed for research in Public Finance, with emphasis on
combining theoretical models with empirical evidence for the optimal design of tax and social
insurance policies. Topics include efficiency costs and incidence of taxation, income taxation,
behavioral responses to taxes and transfers, social insurance and capital income taxation.
Learning outcomes: Understanding of modern methods used in Public Finance and ability to implement them.
Understanding and knowledge of the research frontier in the field. Understanding how
empirical research and economic theory can be used together to address questions of optimal
policy design.
Prerequisites:
Formal: -
Recommended: E700 - E703, E801 - E806
Obligatory registration: yes Further Information on registration: Website of CDSB
Courses Hours per week Self-study
Lecture 4 16
ECTS in total 10
Form of assessment Written Examination (50%),
Research Proposal (50%)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Andreas Peichl, Jun.-Prof. Dr. Sebastian
Findeisen
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMBR, doctoral programs
Mannheim Master in Business Research “Management” - 17
Module: MKT 903 Advanced Business Econometrics
Contents: The goal of the course is to provide Ph.D. students an introduction in and overview of state-
of-the-art discrete choice methods in business and marketing research. Researchers use these
statistical methods to examine the choices that consumers, households, firms, and other agents
make. Each of the major models is covered: logit, generalized extreme value (including nested
and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on
these basics. Simulation-assisted estimation procedures are investigated and compared,
including maximum simulated likelihood, method of simulated moments, and method of
simulated scores. The course will also cover procedures for endogeneity and expectation-
maximization algorithms. Participants will study a variety of articles and case studies which
demonstrate the application of such models to real business phenomena.
Learning outcomes: Course participants will be able to aqcuire knowledge with respect to the following themes:
• Properties of Discrete Choice Model
• Logit Model
• Numerical Maximization
• Nested Logit
• Probit Model
• Mixed Logit
• Conditional Distributions of Individual-level Parameters
• Endogeneity: BLP, Control functions, Latent Instruments
By the end of the course, students will be able to apply these statistical methods to examine
the choices that consumers, households, firms, and other agents make. Each of the major
models is covered: logit, generalized extreme value (including nested and cross-nested logits),
probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-
assisted estimation procedures are investigated and compared, including maximum simulated
likelihood, method of simulated moments, and method of simulated scores. Students will
know procedures for drawing from densities, including variance reduction techniques such
as antithetics and Halton draws. Students will be able to ably these procedures in many fields,
including marketing, management or taxation but also energy, transportation, environmental
studies, health and labor.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Lecture Seminar 2 10
ECTS in total 6
Form of assessment Written Exam (60 min.) 50 %, Home Assignments
50 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Florian Stahl
Mannheim Master in Business Research “Management” - 18
Duration of module 1 semesters (28 contact hours)
Offering Fall semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 19
Module: TAX 916 Applied Econometrics I
Contents: The course gives an applied introduction to the methodology employed in the empirical
research literature. The main topics include: Ordinary least squares, instrumental variables
estimation, and panel data econometrics. Further topics may also be included according to
demand by participants.
Learning outcomes: The covered material enables students to apply the econometric methods which are commonly
used in economic research. Special attention is given to the interpretation of empirical results
and understanding the potential caveats of different approaches.
Prerequisites:
Formal: -
Recommended: Basic knowledge of statistics.
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Lecture 3 13
ECTS in total: 8
Form of assessment Oral exam (10 min.) 50 %, Class Participation 50 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Johannes Voget
Duration of module 1 Semester
Offering Fall semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 20
Module: Cross-Sectional Data Analysis
Contents:
The main focus of this course lies on the introduction to statistical models and estimators
beyond linear regression useful to social scientists. We first repeat and deepen the basics of the
classical linear regression model (OLS). A good understanding of the classical linear
regression model is a prerequisite and required for the further topics of the course. We will
then discuss violations of the asymptotic properties of the linear regression model and ways to
address these violations (heteroscedasticity, endogeneity, proxy variables, IV-estimator). The
second part of the class is dedicated to 1st) the maximum likelihood estimator and 2nd) to
limited dependent variable models for binary choice decisions (Logit, Probit), ordinal
dependent variables, and count data (Poisson, Negative Binomial).
Learning Outcomes:
By the end of the module students will:
(1) Know the different cross-sectional regression processes
(2) Be able to perform regression analyses using current statistic programs such as Stata or R
(3) have advanced knowledge of different estimation procedures (e.g. OLS, maximum
likelihood estimate)
(4) know regression diagnostics (5) have knowledge in model selection
Prerequisites:
Formal: -
Recommended: -
Obligatory Registration: Yes Further Information on registration:
“Student Portal”
Courses Hours per week Self-study
Lecture 2 6 6
Exercise 2 6 3
ECTS in total: 6-9
Form of assessment Written exam (90 mins), oral exam, written term
paper
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Thomas Gautschi
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 21
Module: Multivariate Analysis
Contents:
The course introduces students to quantitative methods in political science. During the first
half of the course, we will focus on linear regression models. The topics covered include
discussions of the mathematical bases for such models, their estimation and interpretation,
model assumptions and techniques for addressing violations of those assumptions, and topics
related to model specification and functional forms. During the second half of the course,
students will be introduced to likelihood as a theory of inference, including models for binary
and count data.
Learning Outcomes:
The main goals of this course are to develop sound critical judgment about quantitative studies
of political problems, to understand the logic of statistical inference, to recognize and
understand the basics of the linear regression model, to develop the skills necessary to work
with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for
more advanced statistical methods.
In the accompanying course "Tutorial Multivariate Analyses" students will develop the
necessary expertise in using statistical software to conduct quantitative research in political
science.
Prerequisites:
Formal: -
Recommended: -
Obligatory Registration: Yes Further Information on registration:
“Student Portal”
Courses Hours per week Self-study
Lecture 2 6 6
Tutorial 2 6 2
ECTS in total: 6-8
Form of assessment assignments include homeworks, mid-term exam,
data analysis projects
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Thomas Gschwend
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 22
Module: Game Theory
Contents:
Game theory and other formal modelling techniques are powerful methodological tools that
are widely employed in political science and the social sciences, in general. The associated
mathematics and notation can, nevertheless, be bewildering and frustrating to the newcomer.
This course exposes students to the mechanics of a variety of formal models used in political
sciences, showing them the underlying logic of these models, as well as the surrounding
notation and mathematics. The overall aim of the course is to put students in a position where
they can more effectively read literature that employs game-theoretical modelling, and actually
make use of formal modelling techniques in their own work.
The tutorial accompanies the graduate-level introductory lecture in game theory. Its main
objective is to practice solution concepts for static and dynamic games of complete and
incomplete information. The contents are centered around the material covered in the lecture.
Thus, the following key areas will be discussed: preferences and individual choices, decision
theory, normal form games, Nash equilibria, extensive form games, subgame perfect
equilibria, repeated games, bargaining, games with incomplete and imperfect information,
Bayesian perfect equilibria, signalling games. At the substantial level, we will use these
concepts to study, for instance, candidate competition, political lobbying, and war and
deterrence. Students are required to submit weekly problem sets. Moreover, active
participation in class discussions is expected.
Learning Outcomes:
Ability in reading and writing down formal models in political science.
Prerequisites:
Formal: -
Recommended: -
Obligatory Registration: Yes Further Information on registration:
“Student Portal”
Courses Hours per week Self-study
Lecture 2 6 6
Exercise 2 6 2
ECTS in total: 8.0 6-8
Form of assessment Homework assignments (20%), mid-term exam
(30%), final exam (50%)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Thomas Bräuninger
Anna-Sophie Kurella
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application Doctoral Program, M.Sc. MMBR
Mannheim Master in Business Research “Management” - 23
Module: Advanced Quantitative Methods
Contents:
This course serves as an introduction to a multitude of probability models that are appropriate
when the linear model is inadequate. After introducing the fundamentals from which statistical
models are developed, this course will focus on one specific theory of inference, namely on
the statistical theory of maximum likelihood. We will also devote considerable time to
statistical programming, simulating and conveying quantities of material interest of such
models (using R).
Learning Outcomes:
Knowledge of statistical theory of maximum likelihood, statistical programming, simulating
and conveying quantities of material interest of models, knowledge of R.
Prerequisites:
Formal: - Recommended: Knowledge of Multivariate Analysis
Obligatory Registration: Yes Further Information on registration:
“Student Portal”
Courses Hours per week Self-study
Lecture 2 6 6
Exercise 2 6 2
ECTS in total: 6-8
Form of assessment Students who wish to pass this course must complete
homework assignments and produce a research
paper. Participation in the tutorial session (2 ) is
necessary for the assignments which complement the
lecture (6 ).
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Thomas Gschwend
Tilko Swalve
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 24
Module: Longitudinal Data Analysis
Contents:
Lecture "Longitudinal Data Analysis"
The lecture gives a broad overview of methods of longitudinal data analysis. The focus of the
course lies on methods for panel and event history data analysis and their use in the social
sciences. Attendance of the complementary course "Data Sources in Social Sciences" is highly
recommended as the course illustrates the practical application of the methods in Stata and
deepens understanding of the theoretical content of the lecture.
Lab Course "Data Sources in Social Sciences"
Using Stata we practice methods of event history and panel data analysis (especially first-
difference-models, random/fixed eff-models, event history analysis) with examples from the
German SOEP. Attendance of the complementary lecture " Longitudinal Data Analysis " is
highly recommended as firm knowledge of the lecture content is presumed. In addition, a
further prerequisite for participation is firm knowledge of data preparation and estimation of
simple linear regressions using Stata. Participation in the lab session in not mandatory for
meeting the overall course requirements. However, students should otherwise commit to
deepening and applying the contents of the lecture of their own.
Learning Outcomes:
By the end of the module students will:
1. be able to critically assess potential and problems of analyses based on cross-sectional
and longitudinal data
2. be able to carry out advanced data analyses, particularly event history and panel data
analyses
3. understand inferences using longitudinal data
4. know how to use statistic software to carry out analyses of longitudinal data
Prerequisites:
Formal: -
Recommended: -
Obligatory Registration: Yes Further Information on registration:
“Student Portal”
Courses Hours per week Self-study
Lecture 1 7 6
Exercise 1 7 3
ECTS in total: 6-9
Form of assessment 6 will be awarded for successful completion of an
exam and an additional 2 can be awarded for
participation in the lab course and handing of two
practical assignments.
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Tobias Wolbring
Duration of module 1 semester
Offering Spring semester
Language English
Mannheim Master in Business Research “Management” - 25
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 26
Module: Multilevel Modeling
Contents:
Multilevel modeling is used when observations on the individual level are nested in units of
one or more higher levels (e.g. students in classes in schools). The course will cover the logic
of multilevel modeling, its statistical background, and implementation with Stata. Applications
will come from international comparative research treating countries as the higher level units.
Data from the International Social Survey Program and the PIONEUR project (on intra-
European migration) serve as examples. However, students are also encouraged to bring their
own data.
Learning Outcomes:
Participants will be able to use multilevel modeling and write a research paper employing
this method.
Prerequisites:
Formal: Knowledge of regression analysis
Recommended: -
Obligatory Registration: Yes Further Information on registration:
Website of the CDSS
Courses Hours per week Self-study
Seminar 2
ECTS in total: 6
Form of assessment Assignments, presentation
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Michael Braun
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 27
Module: Modeling Social Processes
Contents:
This course provides an introduction to formal models in the social sciences. It discusses a
series of basic prototypes which have proved to be important tools for theory construction in
various fields. Topics covered are, for example, individual choice, exchange, strategic action,
collective action and the evolution of cooperation, diffusion, or segregation. While most of the
models and examples chosen might already be fairly well known, this course puts specific
emphasis on explaining the math behind them in more detail than usual.
Learning Outcomes:
Course participants will be able to acquire knowledge with respect to the following themes:
Individual choice, exchange, strategic action, collective action, and the evolution of
cooperation, diffusion or segregation.
By the end of the module students will have expertise in general formal skills, such as
maximizing under constraints, game theory, difference equations, differential equations,
Monte Carlo simulation, and agent-based simulation. Students are able in principle to modify,
extend or combine existing models according to their own research questions.
Prerequisites:
Formal: -
Recommended: -
Obligatory Registration: Yes Further Information on registration:
Website of the CDSS
Courses Hours per week Self-study
Seminar 2 10
ECTS in total: 6
Form of assessment Assignments, presentation
Preliminary course work -
Lecturer/Person in charge CDSS Methods Professor
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 28
Module: Bayesian Statistics
Contents:
This course introduces and extends the classical “workhorse” social science models – linear,
logit, probit models and their multilevel extensions – from a Bayesian perspective.
The Bayesian approach to inference has attracted considerable attention in recent years. Mostly
this is due to the increasingly complex models that it allows to fit. However, one might easily
overlook the benefits that a Bayesian approach provides when estimating “standard”
generalized linear models.
The course will introduce the basics of Bayesian inference, showing how its interpretation of
probability differs from the classical approach and how it is actually closer to how social
scientists think about their models. The course then introduces generalized linear models and
shows how they can be easily fitted using modern software for Bayesian inference. It
introduces Bayesian model diagnostics and fit measures, which allow straightforward model
comparisons and examination of model misspecification.
The focus of the course will be on how to compute interesting quantities from those models,
like predicted values or first differences in expected values for a changing covariate. Using the
Bayesian approach to inference, their calculation is straightforward and one can easily
construct appealing graphical displays.
Learning Outcomes:
Understand and apply Bayesian Inference.
Prerequisites:
Formal: -
Recommended: You should be familiar with the basics of regression models and
maximum likelihood estimation. No previous knowledge of software for Bayesian inference
is required. However, we will use R as a front-end to JAGS and for graphical displays.
Resources to learn R basics are UCLA’s Stat Consulting Site as well as the official manuals at
http: //www.r-project.org/.
Obligatory Registration: Yes Further Information on registration:
Website of the CDSS
Courses Hours per week Self-study
Workshop 2 6
ECTS in total: 4
Form of assessment Up to 4 assignments
Preliminary course work -
Lecturer/Person in charge CDSS Methods Professor
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 2
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 29
Module: Meta Analysis
Contents:
This course will assist students to prepare, conduct, and to write-up a systematic review and/or
meta-analysis for a M.Sc. or PhD thesis, encompassing the entire research synthesis process,
namely:
• Developing a problem statement and specifying research questions / hypotheses for a
systematic review / meta-analysis;
• Data collection (systematic retrieval and selection of studies);
• Data extraction, coding, and unifying effect sizes;
• Analysis and interpretation;
• Reporting / writing a thesis encompassing a systematic review / meta-analysis.
• Special emphasis will be on the analysis procedure (4) using R packages (esp. metafor:
www.metafor-project.org ).
Learning Outcomes:
Advanced skills in conducting and writing-up meta analyses.
Prerequisites:
Formal: -
Recommended:
• Contents of an introductory course on systematic reviews and meta-analysis (e.g., the
ones offered by the course instructor at the University of Mannheim in the following
semesters: FSS 2015, or HWS 2014, or FSS 2014).
• M.Sc. or PhD thesis topic has been (at least roughly) defined already
• Basic understanding of R ( http://www.r-project.org)
Obligatory Registration: Yes Further Information on registration:
Website of the CDSS
Courses Hours per week Self-study
Seminar 2 10
ECTS in total: 6
Form of assessment Research proposal, presentations
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Michael Bosnjak
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 30
B. Economics
Module: CC 502 Applied Econometrics
Contents:
In this module we will first review some essential statistical concepts, including probability,
random variables, distributions, correlation, sampling, estimation, confidence intervals and
hypothesis testing. The second part will provide a treatment of the principles and uses of simple
and multivariate linear regression analysis. We will consider how results from such analyses
can be interpreted and applied in the context of managerial decision-making. Furthermore, the
limitations and potential pitfalls of econometric techniques will be discussed.
Learning outcomes:
By the end of the module students will have:
• a sound understanding of key statistical concepts and techniques
• familiarity with the principles and core techniques of econometric analysis and how
regression results can be interpreted
• skills in the practical application of relevant quantitative methods
Prerequisites:
Formal: -
Recommended: Knowledge of introductory statistics at bachelor level
Obligatory registration: no Further information on registration: -
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Written exam (90 min.)
Preliminary course work -
Lecturer/Person in charge Hidenori Takahashi, Ph.D.
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 31
Module: BE 510 Business Economics I
Contents:
In this module we will examine strategic behavior and efficiency in the context of business
decisions from a microeconomic perspective. An important aim is to convey an understanding
of how economists approach these issues and to introduce participants to some economic
concepts that may be helpful in making sense of how businesses and other organizations
operate. Using these concepts we will study the decision-making behavior of individuals,
analyze incentive mechanisms within organizations and investigate the economics of
bargaining and information.
Learning outcomes:
By the end of the module students will have:
• the ability to apply economic reasoning in the context of economic organizations
• an understanding of model-based analytical methods and arguments in managerial and
personnel economics
• familiarity with relevant economic and game-theoretical concepts under both full and
incomplete information
Prerequisites:
Formal: -
Recommended: Knowledge of introductory microeconomics at bachelor level
Obligatory registration: no Further information on registration: -
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Written exam (90 min.)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Henrik Orzen
Duration of module 1 semester. Both the lecture and the Exercise will be
held in two parallel, identical streams to allow
smaller class sizes.
Offering Fall semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 32
Module: BE 511 Business Economics II
Contents:
Building on BE 510 Business Economics I, this module will provide an introduction to
economic models of strategic decision-making and behavior of firms in the context of
oligopolistic competition. Topics will include output and pricing strategies, the economics of
collusion, market structure, market entry decisions and product differentiation. Some of these
topics require a degree of analytical rigor and we will make use of some game-theoretical and
mathematical methods.
Learning outcomes:
By the end of the module students will have:
• the ability to apply economic reasoning in the context of oligopolistic competition
• an understanding of model-based analytical methods and arguments
• familiarity with basic game-theoretic models of industrial organization
Prerequisites:
Formal: -
Recommended: Knowledge of introductory microeconomics at bachelor level, BE 510
Obligatory registration: no Further information on registration: -
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Written exam (90 min.)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Henrik Orzen
Duration of module 1 semester. Both the lecture and the Exercise will be
held in two parallel, identical streams to allow
smaller class sizes.
Offering Spring semester
Language English
Program-specific educational goals
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 33
C. Management
Module: CC 504 Corporate Social Responsibility
Contents:
The lecture deals with the topic “Corporate Social Responsibility” (CSR) and its related
backgrounds. The focus is on the discussion about the relation between profits and
responsibility. For this purpose, theoretical CSR foundations as well as practical CSR
competencies are imparted. It is presented that CSR is an investment in the conditions of long-
term business success. One of the central questions is how CSR can be managed under
competitive pressure. Managerial challenges in the field of CSR are illustrated by case studies.
Learning outcomes:
The lecture sensitizes participants for the relevance of ethical questions in daily business. The
imparted knowledge enables students to handle the prominent term “Corporate Social
Responsibility” appropriately. In particular, students are able to define the scope and the limits
of CSR with reasonable care. The imparted competencies allow students to structure and to
handle ethical challenges in management.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: no Further information on registration: -
Courses Hours per week Self-study
Lecture 2 6
ECTS in total 4
Form of assessment Written examination (60 min.)
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Laura Marie Schons
Duration of module 1 Semester
Offering Fall semester and Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. MMBR, M.Sc. Bus. Edu., M.A.
K&W
Mannheim Master in Business Research “Management” - 34
Module: MAN 630 Introduction to Entrepreneurship
Contents: Bill Gates of Microsoft, Michael Dell of Dell Computers, Fred Smith of FedEx, and Dietmar
Hopp of SAP, are examples of successful entrepreneurs who have pursued new business
opportunities in a way which is innovative, path-breaking and contributing to growth and
employment generation. But, who is a typical entrepreneur, and how well does the typical start-
up perform? Why do people start businesses? What characteristics does the typical
entrepreneur have? How do entrepreneurs finance the typical start-up? What is the role of
networks for launching and running new businesses?
These are questions that will be answered in the course MAN 630 Introduction to
Entrepreneurship, which consists of two parts, namely Part I “Lectures” and Part II “Case
Studies.” This course combines both classical methods of teaching (lecturing) and interactive
methods of teaching (case studies). More exactly, theories presented in the first part will be
followed by demonstrating real-life cases in the second part. Additionally, guest speakers, i.e.
entrepreneurs and/or academics, will be invited to shed light on specific topics of interest.
The purpose of this course is to provide students with both theoretical knowledge of
entrepreneurship and practical skills for setting up businesses. Dealing with current and
classical theories and recent empirical evidence on entrepreneurship, Part I aims at giving
students a solid insight into entrepreneurship research. Part II gives the possibility to put
oneself in the shoes of an entrepreneur and to train entrepreneurial skills, thus giving a more
practical understanding on decisions on founding and operating start-ups.
Learning outcomes: By the end of this course, students will have gained fundamental perspectives in theoretical
and practical entrepreneurial mechanisms. They will have acquainted practice in case study
training.
Prerequisites:
Formal: -
Recommended: not specified
Obligatory registration: yes Further Information on registration: www.ifm.uni-mammheim.de / “Student Portal”
Courses Hours per week Self-study
Lecture 2 10
ECTS in total 6
Form of assessment 100% Written final examination
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Michael Woywode
Duration of module 1 Semester
Offering Fall semester
Language English
Program-specific educational goals LG 3
Grade graded
Mannheim Master in Business Research “Management” - 35
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf., M.A.
K&W, M.Sc. Econ., LL.M., M.Sc. Econ., M.Sc.
MMBR
Mannheim Master in Business Research “Management” - 36
Module: MAN 632 Advanced Entrepreneurship
Contents: Successful entrepreneurs who have pursued new business opportunities demonstrate
managerial capabilities in which they lead their start-up to long-term profitability. How did
they manage the market entry and growth of their enterprises? What type of strategies did they
implement to achieve sustainable competitive advantage? These are the questions that will be
addressed in MAN 632 "Advanced Entrepreneurship."
Theoretical foundations of the course will lie in theories on managerial asp of entrepreneurship.
It is structured into two parts: First, “A Life Cycle View on High-Tech Entrepreneurship”
which will present a dynamic capabilities approach to entrepreneurial management.
Entrepreneurial managers need to have an in-depth understanding of the ongoing challenges
in key functional areas such as finance, innovation and technology management, human
resource management, firm succession, strategic management, management of
internationalization, and management of (fast) growth. Second, in the part “Industry Studies”
topics such as innovation in biotech industry, innovation in the software industry, and the role
of regional clusters will be addressed. Both researchers and guest presenters will give an insight
into entrepreneurial management.
Learning outcomes: By the end of this module, students will have gained fundamental theoretical and practical
knowledge in managing entrepreneurial ventures successfully.
Prerequisites:
Formal: -
Recommended: not specified
Obligatory registration: yes Further Information on registration: www.ifm.uni-mammheim.de / “Student Portal”
Courses Hours per week Self-study
Lecture 2 10
ECTS in total 6
Form of assessment 100% written final examination
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Michael Woywode
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf., M.A.
K&W, M.Sc. Econ., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 37
Module: MAN 645 Leadership and Motivation
Contents:
This course is designed to introduce students to different perspectives on leadership and the
role that motivation plays in the leadership process. It provides students with a comprehensive
understanding of leadership theories (e.g., trait, skills, style, and situational approaches) and
discusses contemporary challenges of leadership in organizations (e.g., culture and leadership,
women in leadership positions, ethical leadership). Furthermore, the course gives students the
opportunity to experience their own leadership behavior and thereby help to prepare them for
leadership roles in organizations.
Learning outcomes:
By the end of the module students will be able to:
… understand different approaches to leading and motivating employees,
… analyze different leadership styles and evaluate their advantages and disadvantages,
… assess factors of successful leadership,
… understand potential problems in the interaction between supervisors and subordinates,
… learn about their own leadership style.
Prerequisites:
Formal: -
Recommended: Not specified
Obligatory registration: no Further Information on registration: -
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Written examination (60 min.), Assignment
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Torsten Biemann
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 2, LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf.,
M.A. K&W, LL.M., M.Sc. Econ., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 38
Module: MAN 647 Strategic and International Human Resource Management
Contents:
This course is intended to expand students’ knowledge on basic human resource management
(HRM) processes and instruments by adding an international and a strategic dimension. In the
first part of the module (international dimension), we examine the impact of national context
on HRM and discuss basic HRM functions in international organizations. Topics include
international recruiting and selection, training and development, compensation, and employee
relations.
In the second part of the module (strategic dimension), we focus on the dynamics of HRM
systems. Various approaches of how singular HRM practices conceptually and empirically
form bundles are considered. We review how HRM practices can be aligned with respect to
other HR practices (horizontal fit) as well as organizations’ objectives (vertical fit) to form
HRM systems that help improve organizations’ performance.
Learning outcomes:
By the end of the module, students will be able to:
… understand the impact of culture and national context on HRM,
… analyze differences in international HRM systems,
… design basic HRM practices in international organizations,
… align HRM practices with regards to their horizontal and vertical fit,
… comprehend the processes translating HRM systems into organization’s performance, and
… consider contextual factors’ impact on the alignment of HRM systems.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the chair / “Student Portal”
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Written examination (60 min.): 75%
Coursework: 25%
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Torsten Biemann / Dr. Jörg Korff
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf.,
M.A. K&W, LL.M., M.Sc. Econ., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 39
Module: MAN 648 Incentives and Performance
Contents:
In this course, we study performance management and analyze the link between incentives and
individual’s performance in organizations. Based on the performance management process,
the course covers performance measurement and monitoring, key performance management
tools, and implementation of performance management systems targeted at employees in
organizations. Furthermore, the course investigates the role of incentives in organizations, both
theoretically and empirically from a psychological and economic perspective.
Learning outcomes:
By the end of the module, students:
… will be able to select and implement appropriate performance measures,
… are familiar with formal performance appraisals,
… understand the link between pay and performance,
… are able to analyze the effectiveness of incentives both theoretically and empirically, and
… are able to design performance management systems.
Prerequisites:
Formal: -
Recommended: Module MAN 645 or MAN 647
Obligatory registration: yes Further Information on registration: Website of the chair / “Student Portal”
Courses Hours per week Self-study
Lecture 2 6
Exercise 2 2
ECTS in total 6
Form of assessment Written examination (60 min.): 75%
Coursework: 25%
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Torsten Biemann
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Bus. Inf.,
M.Sc. Econ., M.Sc. MMBR
Mannheim Master in Business Research “Management” - 40
Module: Module: MAN 654 Corporate Restructuring
Contents:
This course exposes students to a broad range of strategic and financial restructuring
techniques (e.g., equity carveouts, spin-offs, leveraged buyouts) that can be applied to improve
business performance. We will engage in an analysis of the rationale underlying specific
corporate restructuring transactions, the process of executing these transactions, and their eff
on the welfare of managers, stockholders and other corporate stakeholders. Current business
cases and guest speakers representing the different parties involved in corporate restructuring
(e.g., investment bankers, consultants, business unit managers, employees) will help illustrate
how various corporate restructuring approaches may be applied in business practice to increase
firm value.
Learning outcomes:
Students will acquire and demonstrate expert knowledge in the specific subject area of
corporate restructuring. Students will be able to apply and critically reflect upon contemporary
theories, models and tools utilized in restructuring research and practice. When analyzing
business cases, students will be able to identify key issues, derive appropriate solutions, and
have a good understanding of their impact on restructuring success. Students will be able to
design and deliver professional and effective oral presentations of their business case analyses
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the chair / “Student Portal”
Courses Hours per week Self-study
Lecture 2
8
Exercise 2
ECTS in total 6
Form of assessment Exam and presentations in Exercisees; attendance
required
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Matthias Brauer
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Inf., Bus. Edu., LL.M.,
M.Sc. Econ., M.A. K&W, M.Sc. MMBR
Mannheim Master in Business Research “Management” - 41
Module: MAN 655 Corporate Strategy: Managing Business Groups
Contents: In this course, we will critically reflect upon the role of corporate centers of multinational
companies (MNCs). A particular emphasis will be placed on the challenges faced by corporate
centers and their opportunities for value creation in their quest to turn a conglomerate discount
into a conglomerate premium.
Learning outcomes:
Students will acquire and demonstrate expert knowledge in the specific subject area of
corporate strategy (i.e. about the challenges and value creation opportunities faced by corporate
centers of MNCs). Students will be able to apply and critically reflect upon contemporary
theories, models and tools utilized in strategy research and practice (i.e. the repertoire of
analytical tools applied by corporate centers to fulfill their “parenting” role). When analyzing
fictitious or real-life business cases, students will be able to identify key issues, derive
appropriate solutions, and have good understanding of their impact on strategic decision
outcomes. Students will be able to design and deliver professional and effective oral
presentations of their own strategy case analyses.
Prerequisites: Formal: -
Recommended: Knowledge in strategic management
Obligatory registration: yes Further Information on registration: Website of the chair / “Student Portal”
Courses Hours per week Self-study
Lecture 2
8
Exercise 2
ECTS in total 6
Form of assessment Exam and assignment/presentation; attendance
required
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Matthias Brauer
Duration of module 1 semester
Offering Spring semester
Language English
Program-specific educational goals LG 3
Grade graded
Range of application M.Sc. MMM, M.Sc. Bus. Inf., Bus. Edu., LL.M.,
M.Sc. Econ., M.A. K&W, M.Sc. MMBR
Mannheim Master in Business Research “Management” - 42
Module: MAN 801 Advances in Entrepreneurship and Management Research
Contents: This seminar will expose participants to the rich ecology of theoretical perspectives flourishing
in management research. Students are invited to develop creative research proposals
worthwhile to be developed into a strong dissertation based upon well grounded theoretical
perspectives.
Learning outcomes: The course aims at enabling students to understand basic concepts in management research
find appropriate theoretical concepts and lenses and apply them properly to their individual
research topics.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Lecture 2 4
ECTS in total 6
Form of assessment Paper 80 %, Presentation 20 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Michael Woywode
Duration of module 1 Semester
Offering Spring semester
Language English
Program-specific educational goals LG 1, LG 3
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 43
Module: MAN 802 Fundamentals of Non-Profit Management Science
Contents: This course addresses the relevant economic and managerial theories in order to be able to
analyze the economic behaviour and management of nonprofit organizations (NPOs).
Topics that will be discussed include “theories of nonprofit organizations”, “organizational
behaviour and performance”, “nonprofit management”, “financing nonprofit organizations”,
and “governance and accountability”.
Learning outcomes: This course aims to provide a basic understanding of the theory and management of nonprofit
organizations. Each student will be asked to read a basic scientific (“classical”) paper, enrich
this paper by adding latest research results from currently published journal papers, and present
the findings in class, where the results will be discussed.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Lecture 1 12
ECTS in total 6
Form of assessment Presentation 60 %, Discussion 20%, Class
Participation 20 %
Preliminary course work -
Lecturer/Person in charge Dr. Stijn Van Puyvelde
Duration of module 1 Semester
Offering Fall semester
Language English
Program-specific educational goals LG 1, LG 3
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 44
Module: MAN 804 Advances in Strategic Management
Contents: The seminar serves the purpose of familiarizing students with the most relevant research
streams and trends in strategy research. Besides a review of the current state-of-the-art, we will
engage in a discussion about the most prevalent theoretical lenses, key subject areas and
phenomena as well as the empirical designs applied by scholars in these areas.
Learning outcomes: By the end of the module students will:
• understand the most established as well as the latest emerging literature substreams in
strategy research
• have an overview of the most prevalently studied phenomena and subject areas in these
literature substreams
• be familiar with the theoretical and methodological approaches used to address the
different sets of research questions
• be able to capitalize on a critical reflection of the current state of the literature, to
develop a research proposal
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Seminar 2 6
ECTS in total 6
Form of assessment Paper 60 %, Presentation 40 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Matthias Brauer
Duration of module 1 Semester
Offering Spring semester
Language English
Program-specific educational goals LG 1, LG 3, LG 4
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 45
Module: MAN 805 Applied Methods in Management Research
Contents: This module offers an overview of the statistical procedures and methods that are relevant in
management research. After having gained a broad understanding of the methods that are
important in the respective literatures, students integrate this knowledge by examining some
exemplary research studies for each method and by asking how they would go about in
conducting their own research in this field. Students apply their knowledge from the seminar
presentations in several exercises. In particular, the course covers the following topics:
- Moderation and Mediation
- Control Variables
- Scales and scale analysis
- Common Method Variance
- Hypothesis testing
- Outliers
- Multicollinearity
- Missing data
- Multilevel modelling
Learning outcomes: By the end of the module students will be able to:
- Identify issues and problems in quantitative management research
- Perform statistical analyses in selected areas (e.g., multilevel modeling and scale
analysis)
- Design quantitative research proj that consider contemporary standards and
suggestions in management research
- Learn how to address methodological issues in research papers
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Seminar 2 10
ECTS in total 6
Form of assessment Oral exam (20 min.) 75 %, Presentation 25 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Torsten Biemann
Duration of module 1 semester
Offering Fall semester
Language English
Learning Goals LG 1, LG 2, LG 3
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 46
Module: MAN 806 Advances in Organization and Innovation Research
Contents: Students will gain an overview of fundamental topics in the fields of organization and
innovation.
The course starts with a kick-off. A list of required readings and a detailed course program will
be provided at this meeting. Then, students have one month to prepare their input for the
blocked seminar. During the blocked seminar, the papers, they will have read and prepared,
will be presented and discussed. Afterwards there will be a general discussion. Besides the
content itself, conceptual framing and methodology (strengths and weaknesses) will be
reviewed. The papers selected for presentation will cover different quantitative and qualitative
methods.
Learning outcomes: Students will learn to critically assess existing literature, to formulate research questions, to
frame theoretical contributions and to design and implement a research design to be able to
derive causal results.
Prerequisites:
Formal: -
Recommended: Master-level knowledge on organization and management; MAN 803 or
profound knowledge about econometric methods and their application in empirical
management research.
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Seminar 2 10
ECTS in total 6
Form of assessment Presentation 50 %, Discussion 50 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Karin Hoisl
Duration of module 1 semester
Offering Fall semester
Language English
Program-specific educational goals LG 1, LG 3
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 47
Module: MAN 910 Area Seminar Management
Contents:
The course focuses on current research topics in the field of management. Visiting researchers
present their latest working papers and discuss their ideas with participating faculty and
students. The course introduces students to the variety of research methods that are currently
popular in empirical and theoretical research.
Learning outcomes:
Students will learn to follow-up with and discuss about current research topics in management.
The interaction with leading researchers will allow them to develop own research ideas and
get insights into the design, execution and presentation of research proj.
Prerequisites:
Formal: -
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Seminar 2 -
ECTS in total 1
Form of assessment Class Participation
Preliminary course work -
Lecturer/Person in charge Visiting Researchers
Duration of module 2 Semester
Offering Fall Semester and Spring Semester
Language English
Program-specific educational goals LG 1
Grade graded
Range of application M.Sc. MMBR, Doctoral Program
Mannheim Master in Business Research “Management” - 48
D. Master’s Thesis
Module: MAN 950 Proposal Development
Contents:
In this course, students develop a research proposal for their Master’s thesis and give a
presentation on their work. Students first discuss potential topics of their Master’s thesis with
their supervisors and subsequently develop a research proposal that serves as a starting point
for their Master’s thesis.
Learning outcomes:
Students will train their scientific writing and presentation skills, and receive feedback for
the research topic of their Master’s thesis.
Prerequisites:
Formal: MAN 801, MAN 802, MAN 804, MAN 805, MAN 806
Recommended: -
Obligatory registration: yes Further Information on registration: Website of the CDSB
Courses Hours per week Self-study
Seminar 1 8
Consultation 1 8
ECTS in total 9
Form of assessment Paper 50 %, Presentation 50 %
Preliminary course work -
Lecturer/Person in charge Prof. Dr. Torsten Biemann
Duration of module 1 semester
Offering Spring term
Language English
Learning Goals LG 1, LG 4
Range of application M.Sc. MMBR