BE INSPIRED

"The CDSB core courses and especially the electives are very useful because they equip us with solid skills in our field of research as well as in related fields." Kirstin Becker, CDSB

Course Catalog

Spring 2018

Lecturer(s)


Course Type: core course

Course Number: ACC 802

Credits: 6

Prerequisites

Recommended: Basics in agency-theory, decision theory and game theory


Course Content

This course considers the use of accounting information in firms. In particular, the focus is on the use of accounting information for decision making and stewardship. From a methodology perspective game-theoretic models covering the following fields are considered:

  1. Accounting
  2. Auditing
  3. Corporate Governance

Learning outcomes: Students are able to understand and discuss game-theoretic representations of accounting issues. Further, they are able to set up simple models on their own.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
20.02.18
05.06.18
Tuesday
17:15
18:45
O 254

Lecturer(s)


Course Type: core course

Course Number: ACC 903

Credits: 6

Course Content

This course provides a comprehensive overview of research topics and methodologies in influential classic and contemporaneous papers in the empirical accounting literature. In particular, we cover the literature on value relevance and earnings response coefficients/event studies, accounting-based valuation, earnings management, conservatism, voluntary and mandatory disclosures, other information channels, and international research. Students are expected to prepare all readings and to lead the class discussions about assigned papers in the second half of each lecture.

Learning outcomes: Students should know about the core issues of existing accounting research and established empirical research methodologies. They should also be able to place current research into the literature and to critically evaluate its relevance and technical rigor, and therefore to develop meaningful research ideas to extend current knowledge.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Introduction & Accounting Calssics
20.04.18
Friday
10:00
13:00
O 254
Earnings Management
27.04.18
Friday
10:00
13:00
O 254
Valuation
03.05.18
Thursday
14:00
17:00
O 254
Voluntary Disclosure
08.05.18
Tuesday
10:00
13:00
O 254
Mandatory Disclosure
17.05.18
Thursday
10:00
13:00
O 254
IFRS
29.05.18
Tuesday
10:00
13:00
O 254
Narratives
07.06.18
Thursday
10:00
13:00
O 254
Banking / Exam
15.06.18
Friday
10:00
13:00
O 254

Lecturer(s)


Course Type: core course

Course Number: ACC 904

Credits: 6

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
16.04.18
Monday
10:00
13:00
O 254
23.04.18
Monday
10:00
13:00
O 254
07.05.18
Monday
10:00
13:00
O 254
14.05.18
Monday
10:00
13:00
O 254
28.05.18
Monday
10:00
13:00
O 254
04.06.18
Monday
10:00
13:00
O 254


Course Type: core course

Course Number: E801

Credits: 5

Prerequisites

E700, E701, E702, E703

Requirements for the assignment of ECTS-Credits and Grades

  • Final examination
  • Solutions to problem sets
  • Participation in exercise sessions

Literature

Mas-Colell, Whinston and Green: Microeconomic Theory. Oxford UP 1995


Course Content

The module consists of two parts. The first part (Honryo) covers the theory of general equilibrium. The goal is to introduce the basic concepts and tools in the field and to facilitate your transition from undergraduate study to your own research. The second part (Penczynski) covers essential topics of behavioral and experimental economics, such as prospect theory, time inconsistency, social preference, bounded rationality, strategic thinking.


Competences acquired

After the first part, students should be familiar with the basic properties of general equilibrium models, and are able to understand research papers written in the field. After the second part, students will be able to describe some of the most important theories and experimental results of the field of behavioral economics and apply these concepts to new situations of economic relevance. They can re-consider canonical models from a behavioral perspective.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
12.02.18
19.03.18
Monday
10:15
11:45
P043, L7, 3-5
12.02.18
19.03.18
Monday
12:00
13:30
P043 in L7, 3-5
written exam
09.04.18
Monday
10:15
12:15
O48 Castle Ostflügel
Retake written exam
28.06.18
01.06.18
10:15
12:15
TBA
Tutorial
14.02.18
21.03.18
Wednesday
15:30
17:00
P044, L7, 3-5


Course Type: elective course

Course Number: ACC/TAX 920

Credits: 6

Course Content

The course is taught in a seminar-style format. Students present their own research ideas at different stages of the project (early ideas, preliminary results, and complete working papers). The presentations involve an interactive discussion between faculty and students about the project’s potential contribution, related literature, research design and interpretation of results.

Form of assessment: Presentation (50%), Class Participation (50%)

Please note that this is the current status of the Brown Bag Seminar, Feb. 21 and March 7 are still available for presentatations. Please contact Zdenka Pospisil under accap(at)uni-mannheim.de to sign up for a slot.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Seminar
F. Zawodsky
14.03.18
14.03.18
Wednesday
13:45
15:16
SO 133
N. Boob
21.03.18
21.03.18
Wednesday
13:45
15:15
SO 133
T. Martens
11.04.18
11.04.18
Wednesday
13:45
15:15
SO 133
C. Ludwig, V. Dutt, H. Vay
02.05.18
02.05.18
Wednesday
13:45
15:15
SO 133
M. Todtenhaupt, T. Schwab
09.05.18
09.05.18
Wednesday
13:45
15:15
SO 133
M. Olbert
16.05.18
16.05.18
Wednesday
13:45
15:15
SO 318


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)

Lecturer(s)


Course Type: elective course

Course Number: TAX 921

Credits: 6

Prerequisites

All participants are required to read the essential reading material prior to the course and prepare

a discussion for at least one paper. It is also expected that students attempt to briefly

answer the following questions about each paper:

1) What is the research question and why is it important?

2) What are the hypotheses?

3) How is the question being addressed?

4) What are the main empirical findings? Do the results support the hypotheses?

5) How could the study be improved or extended (one or two suggestions)?

Finally, students should actively participate in the class discussions.


Course Content

The objective of this course is to enhance students’ ability to critically evaluate and conduct empirical tax
accounting research. This course is also intended to expand the students’ understanding of the interactions
between income taxes, financial reporting, and external stakeholders, such as investors, analysts, and
external auditors. In addition to introducing students to tax research that overlaps with research in
financial accounting, managerial accounting, corporate finance, and economics, this course should
also help them to develop:

  1. An appreciation for the role of theory in applied work.
  2. An understanding of research designs commonly used in accounting and finance research.
  3. The necessary skills to design and conduct empirical research.
  4. Skills to identify a marketable project.

For this purpose, students will read and discuss seminal and recent archival research on taxation. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
09.04.18
Monday
08:30
18:45
L 9, 1-2, room 210
10.04.18
Tuesday
08:30
17:00
17.04.18
Tuesday
08:30
12:00
O 254
25.04.18
30.05.18
Wednesday
15:30
18:45
O 254

Lecturer(s)


Course Type: core course

Course Number: FIN 802

Credits: 8

Course Content

Itô calculus, stochastic differential equations, Black-Scholes theory, hedging and arbitrage pricing of European, American, and exotic options, complete and incomplete market models, consumption investment problems, term structure theory for volatility and interest rates, default risk.

Learning outcomes: The course aims at providing the basic concepts and techniques for modeling and analyzing financial price processes in continuous time.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
28.02.18
28.02.18
Wednesday
10:30
18:00
L9, 1-2, Room 409
14.03.18
14.03.18
Wednesday
10:30
18:00
L9, 1-2, Room 210
02.05.18
02.05.18
Wednesday
10:30
18:00
L9, 1-2, Room 409

Lecturer(s)


Course Type: core course

Course Number: FIN 803

Credits: 6

Prerequisites

Formal: E 701, E 703, FIN 801

Recommended:

  • A first-year doctoral level course in microeconomics that covers game theory and information economics (signaling, adverse selection, equilibrium refinements)
  • A first-year doctoral level course in econometrics that covers estimation and testing theory.
  • Some familiarity with corporate finance and financial institutions at the level of a masters level course is also assumed, but not essential. If you have no prior knowledge of corporate finance, then some chapters in an MBA-level textbook (e.g. Brealey, Myers, and Allen, Principles of Corporate Finance, 11th edition, McGraw Hill 2013; Berk and DeMarzo, Corporate Finance, 3rd edition, Pearson 2013) would be useful.

Course Content

This course is intended to enable participants to understand and conduct research in some selected areas of corporate finance. It is taught at a first-year doctoral level and combines two objectives. Firstly, participants learn some of the classic contributions to the theory of modern corporate finance and understand the main contributions in the respective area. Secondly, the course also introduces some of the main empirical contributions to the field and studies the main econometric and statistical techniques used in corporate finance.

 

For actual course details please click here


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
09.03.18
Friday
08:30
12:15
L9, 1-2, room 409
23.03.18
Friday
08:30
12:15
L9, 1-2, room 409
13.04.18
Friday
08:30
12:15
L9, 1-2, room 409
04.05.18
Friday
08:30
12:15
L9, 1-2, room 409
16.05.18
Wednesday
08:00
12:15
L9, 1-2, room 409
01.06.18
Friday
08:30
12:15
L9, 1-2, room 409

Lecturer(s)


Course Type: core course

Course Number: FIN 804

Credits: 6

Prerequisites

Recommended: Students should have successfully completed the 2-semester finance module of the Mannheim Bachelor program (or equivalent). It is recommended but not required that the students have participated in the Mathematics for Economists (E 700) and the Discrete Time Finance (FIN 801) courses.


Course Content

The first part of the course provides a brief refresher of several econometric concepts such as endogeneity, multicollinearity and selection bias. The second part of the course covers a number of topics and their applications in asset pricing, including the Fama-MacBeth regression approach and the GMM estimation methodology. The final part of the course is devoted to methodological questions in corporate finance with a focus on event studies, panel econometrics and discrete choice modelling.

Learning outcomes: The course provides students with a knowledge of several prevalent econometric concepts in finance and contributes to students’ ability to plan and carry out independent empirical research in the areas of empirical asset pricing and corporate finance.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
19.02.18
16.04.18
Monday
17:00
18:30
L9, 1-2, room 409
22.02.18
19.04.18
Thursday
13:45
15:15
L9, 1-2, room 009
Colloquium
14.05.18
Monday
08:00
15:00
O 135
15.05.18
Tuesday
15:15
19:30
L9, 1-2, room 009

Lecturer(s)


Course Type: core course

Course Number: FIN 901

Credits: 6

Course Content

This course includes FIN620 and FIN 601 (PhD Paper Discussion): There is abundant evidence suggesting that the standard economic paradigm of rational investors does not adequately describe behavior in financial markets. Behavioral Finance examines how individuals' attitudes and behavior affect their financial decisions. This course reviews recent research on possible mispricing in financial markets due to the nature of psychological biases. Moreover the course deals with behavioral finance models explaining investor-behavior or market anomalies when rational models provide no sufficient explanations. Topics will include among others overconfidence, prospect-theory, heuristic-driven biases and frame dependence. Behavioral finance applies scientific research on human and social cognitive and emotional biases. 

Learning outcomes:

Understanding the psychology of investors and potential biases in financial markets


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Lecture
15.02.18
15.02.18
Thursday
10:15
11:45
O145
PhD Paper Discussions
20.02.18
20.03.18
Tuesday
13:45
15:15
L 5, 2 – room 107
Lecture
22.02.18
22.02.18
Thursday
08:30
11:45
O145
Lecture
02.03.18
02.03.18
Friday
08:30
11:45
O133
Lecture
08.03.18
15.03.18
Thursday
08:30
11:45
O145
Lecture
21.03.18
21.03.18
Wednesday
17:15
20:30
O133

Lecturer(s)


Course Type: elective course

Course Number: FIN 913

Credits: 8

Prerequisites

The course assumes some knowledge of probability theory and statistics and as well some knowledge of financial instruments and their valuation.

German language skills required.


Course Content

This course includes FIN660. Subject of the course are advanced concepts for measuring risk, quantitative methods for the management of market risks and credit risks and approaches to risk based performance management and capital allocation.

Literature: Albrecht/Huggenberger (2015): Finanzrisikomanagement, Stuttgart.


Competences acquired

After a successful completion of the course participants are familiar with the most important risk measures and their parametric/non-parametric estimation, with methods of calculating the value at risk of individual financial positions and portfolios of financial instruments, especially the delta-normal-method. They also have knowledge of the notion of credit value at risk and the most important credit risk models. Finally, they are familiar with the concept of return on risk adjusted capital (RORAC) and the fundamental approaches to capital allocation.

 

Course dates will depend on the availability of the participants. Please contact Mr. Huggenberger (huggenberger(at)bwl.uni-mannheim.de)


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Kick-off
13.02.18
Tuesday
12:00
13:30
O 142


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)

Lecturer(s)


Course Type: core course

Course Number: IS 807

Credits: 9

Prerequisites

IS 801, IS 901, IS 903

This course is open for students who write their disseration proposal at a chair of the Information Systems department.


Course Content

This course provides an overview of qualitative research methods and their application in the field of Information Systems (IS). The course begins with an introduction to the basic principles and alternatives of conducting qualitative research. It then provides deeper insights into three types of qualitative research, i.e. positivist variance-theoretic, interpretive (and/or grounded theory based), and process theoretic. For each of them, the underlying principles will be discussed with illustrative examples. The students are required to summarize and discuss particular research papers and to reflect on how the principles of conducting qualitative research were applied in the respective papers. For particular topics the students will be grouped into teams and will be required to prepare their group work and present it in class. Overall, the course is designed to be interactive. The students may also illustrate the application of particular methods based on their own paper and data, if they wish.

Form of assessment: 

The course will be graded based on three inputs:

  • 20% Contributions of the students to class discussions during the sessions
  • 30% Group presentation
  • 50% Written research proposal, which has to be presented in form of a written research-in-progress paper after the course. In this paper, the students are required to elaborate a research proposal in which they show how a topic of their choice (e.g. their dissertation topic) could be examined (either entirely, partly, or complementarily) using (at least) one of the discussed qualitative research approaches

Readings for Class Discussion: A collection of papers will be provided prior to the course in electronic form (see Schedule with Literature). The students are required to read the literature highlighted in BOLD prior to the sessions. The other readings (including the basic literature) are recommended but are not obligatory readings.

Basic readings:

  • Yin, Robert K. Case study research: design and methods, 4th Edition, 2009
  • Miles, M.B., and Huberman, M.A. Qualitative Data Analysis: An Expanded Sourcebook. Sage Publications, Thousand Oaks, CA, 1994.
  • Strauss, A. and J. Corbin. 1998. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, CA: Sage Publications.

Short CV of the lecturer:

Jens Dibbern is a Professor and Co-Director of the Institute of Information Systems at the
University of Bern, Switzerland. He received his Ph.D. in information systems from the
University of Bayreuth and was assistant professor at the University of Mannheim, Germany.
His research focuses on various aspects of the division of work in information systems
provision and through information systems, such as outsourcing, offshoring, platform
ecosystems, enterprise systems use, and IT-supported collaboration. His publication appeared
or appear in Information Systems Research (ISR), Management Information Systems
Quarterly (MISQ), Journal of Management Information Systems (JMIS), Journal of the
Association of Information Systems (JAIS), and others. He has been associate editor of MISQ
and currently serves as senior editor of JAIS and MISQ Executive; he is also department
editor of Business & Information Systems Engineering.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
02.05.18
Wednesday
14:00
18:00
L15, 1-6, Room 714/715
03.05.18
Thursday
09:00
12:15
L15, 1-6, Room 714/715
28.05.18
Monday
14:00
18:00
L 15, 1-6, Room 714/715
29.05.18
Tuesday
09:00
12:15
L15, 1-6. Room 714/715

Lecturer(s)


Course Type: core course

Course Number: IS 903

Credits: 8

Course Content

This course --Theory in Information Systems Research -- invites participants to join the
ongoing discourse on theories and theorizing in the Business and Information Systems
Engineering (BISE) and Information Systems (IS) research communities. It is designed
to help participants build and extend their understanding of the nature and role of
theory in BISE and IS research. Through discussions and analyses of current theoretical
developments in the BISE and IS discipline and some of its main reference disciplines,
participants will engage with theory and advance their skills of crafting their own
theoretical contributions and evaluating those of others.

Please find detailed information here

 

PLEASE NOTE: The course does not start on June 5 and has to be rescheduled. New course dates will be published as soon as possible.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
25.07.18
Wednesday
09:00
15:00
26.07.18
Thursday
09:00
15:00
30.07.18
Monday
09:00
15:00
31.07.18
Tuesday
09:00
15:00

Lecturer(s)


Course Type: elective course

Course Number: IS 911

Credits: 8

Course Content

This course covers principles and foundations of context-aware computing. Approaches to context acquisition, reasoning and management are presented and current trends in research are discussed.

Students will learn about context-aware computing as well as current and future research topics.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
13.02.18
29.05.18
Tuesday
13:45
15:15
L 15, 1-6, room 714/715


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)


Course Type: core course

Course Number: MAN 801

Credits: 6

Course Content

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.

 

For syllabus please click here


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
20.02.18
Tuesday
16:00
18:00
L9, 1-2, room 210
06.03.18
Tuesday
16:00
18:00
L9, 1-2, room 210
13.03.18
Tuesday
16:00
18:00
L9, 1-2, room 210
13.04.18
Friday
09:00
18:00
L9, 1-2, room 210
20.04.18
Friday
09:00
18:00
L9, 1-2, room 210
21.04.18
Saturday
09:00
18:00
L9, 1-2, room 210

Lecturer(s)


Course Type: core course

Course Number: MAN 804

Credits: 6

Course Content

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:

  • Develop an understanding of the most established as well as the latest emerging literature substreams in strategy research
  • Gain an overview of the most prevalently studied phenomena and subject areas in these literature substreams
  • Become familiar with the theoretical and methodological approaches used to address the different sets of research questions

Capitalize on a critical reflection of the current state of the literature, to develop a research proposal


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
27.02.18
Tuesday
16:00
18:00
L9, 1-2 – room 210
24.04.18
Tuesday
08:30
18:30
L9, 1-2 – room 210
25.04.18
08:30
18:30
L9, 1-2 – room 210


Course Type: elective course

Course Number: MAN 807

Credits: 6

Course Content

This course provides an introduction to the fundamental methodological issues that arise in experimental and quasi-experimental research. Illustrative examples are drawn from the behavioral sciences with a focus on the behavior of consumers and employees. Topics that are covered include: the development of research ideas; data collection and reliable measurement procedures; threats to validity; control procedures and experimental designs; and data analysis. Emphasis is placed on attaining a working knowledge of the use of regression and analysis of variance methods for experimental data.

Participants are encouraged to develop their own ideas for experimental studies that will be presented, discussed, and developed further in class. Participants will collect and analyze own data and write a short research paper over the course of the semester.

Learning outcomes:

Through participating the in course, participants will:

  • Train their scientific writing and presentation skills, and receive feedback concerning their research ideas
  • Gain an understanding of methodological issues that arise in experimental and quasi-experimental research
  • Attain the skills needed to plan and execute their own experiments and analyze the resulting data

Form of assessment:  Research Paper


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
12.04.18
Thursday
10:15
13:30
L9, 1-2, room 210
19.04.18
Thursday
10:15
13:30
L9, 1-2, room 210
26.04.18
Thursday
10:15
13:30
L9, 1-2, room 210
03.05.18
Thursday
10:15
13:30
L9, 1-2, room 210
17.05.18
Thursday
10:15
13:30
L9, 1-2, room 210
24.05.18
Thursday
10:15
13:30
L9, 1-2, room 210


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)

Lecturer(s)


Course Type: core course

Course Number: MKT 804

Credits: 6

Course Content

This course teaches students how to develop and test theories in an applied and concrete way. We discuss and study a range of research approaches and methods, including structural equation modeling and experiments. This course provides students with an opportunity to develop and to fine-tune appropriate and specific theories for their own research.

Learning outcomes: Students come up and choose a specific topic of their interest in the beginning of the class and develop and present a theoretical framework suitable for their project. The latter part of the course is geared towards designing means to test the proposed theory. Another key learning outcome is to enhance students’ ability to conduct sound academic research and help them to derive hypotheses for their own research projects.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Wednesday
21.03.18
Wednesday
13:45
15:15
L5,1 – Roche-Forum
11.04.18
09.05.18
Wednesday
13:45
15:15
L5,1 – Roche-Forum
16.05.18
Wednesday
09:00
16:00
L5,1 – Roche-Forum

Lecturer(s)


Course Type: core course

Course Number: MKT 901

Credits: 6

Prerequisites

MKT 801


Course Content

In this course, students will develop their own marketing research projects (e.g., as parts of their own dissertation projects). In presentation sessions, students will present their research project to all participants of the class and to the instructor. Discussions among partici­pants as well as the instructor’s feedback aim at strengthening and refining the positioning and the contribution of the individual projects. Students in the first year of their Ph.D. studies can thus use this course to get important insights for the preparation and refinement of their disser­ta­tion proposal.

At the beginning of the course, objectives, general guidelines, and best practices for developing impactful research projects will be provided in a kick-off meeting. Furthermore, best practices how to get published in leading journals will be discussed. Then, students will start developing their projects. Students are not limited with respect to the choice of their individual research topic; however, it is made in accordance with the instructor.

Students will prepare the project by developing a presentation containing the positioning and research questions, a brief literature review, the theoretical foundations and research hypotheses, as well as an outlook on potential methodological approaches (such as obtaining and analyzing adequate data). Students will present their research projects. Based on the course participants’ and the instructor’s feedback, students can update and refine their research projects.

Learning outcomes:

  • Development of own marketing research project
  • presentation of own marketing research project
  • providing feedback on marketing research projects

This course aims at preparing students to formulate their own marketing research problems (e.g., as parts of their dissertation projects), to shape their contribution with respect to the existing literature, and to identify the necessary data and methods to conduct their research projects. As benchmark for the students’ research projects, the actual standards with respect to innovative­ness, relevance, and rigor of the leading international marketing journals will be applied. Furthermore, implications for practice have to be considered.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Kick-Off
07.03.18
Wednesday
09:30
12:30
L5, 1, Roche-Forum
17.04.18
Tuesday
09:30
12:30
L5, 1, Roche-Forum
18.04.18
Wednesday
09:30
12:30
L5, 1, Roche-Forum
25.04.18
Wednesday
09:30
12:30
L5, 1, Roche-Forum


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)

Lecturer(s)


Course Type: elective course

Course Number: MKT 803

Credits: 8

Course Content

This course takes an “information processing” perspective to examine Consumer Behavior. The key focus will be to examine how consumers process marketing stimuli and make decisions. This includes topics such as motivation and involvement, attention and comprehension, memory, attitudes and attitude change, and decision making models. In each session, the Professor will provide a brief overview of the topic. Then, both classic and current papers on these topics will be discussed. Students will be expected to read assigned articles prior to class and be prepared to discuss them.

Evaluation of articles and paper presentation
When reading the provided articles (Students will get the articles by E-Mail after the registration for the course is finished), you should think about and be prepared to discuss the following. Is important to identify both the strengths and weaknesses of the paper (i.e., this is not an exercise meant to just attack papers; rather, much can be learned by identifying what is good about a paper as well).
1. Do the authors motivate the topic adequately (i.e., why is it interesting and important)? What are the research gaps?
2. What are the theoretical foundations for hypotheses or arguments made? Is there strong support for the authors’ arguments?
3. Is there logic, internal consistency, and a strong linkage between theory and hypotheses or arguments?
4. Are the hypotheses interesting and testable or falsifiable (i.e., ability of design to eliminate alternative hypotheses or competing theoretical explanations)?
5. What is the originality of the contribution to the extant body of knowledge in discipline (i.e., what do we learn that is new?)?
6. Are the research methods employed to test hypotheses and measure key constructs strong in terms of internal and external validity?
7. Are the data analyzed and reported accurately?
8. What are the key implications of the findings for understanding consumer behavior and marketing?

Research Proposal
Each student is expected to write a research proposal within one of the major topic areas. The paper should be more than merely a literature review. It should develop an area in which research is needed and then proceed to develop a specific research topic including hypotheses, a proposed methodology, and an analysis plan. The paper should be a maximum of 20 double-spaced pages in length (including all exhibits and references) and has to be prepared by the end of the semester.

Course evaluation
Paper presentation (25%), class participation (25%), and the research proposal (50%).


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
07.05.18
Monday
09:00
12:00
L5,1 – Roche-Forum
09.05.18
Wednesday
09:00
12:00
L5,1 – Roche-Forum
11.05.18
Friday
15:00
18:00
L5,1 – Roche-Forum
14.05.18
Monday
15:00
18:00
L5,1 – Roche-Forum
16.05.18
Wednesday
16:00
19:00
L9, 1-2, room 009
18.05.18
Friday
15:00
18:00
L5,1 – Roche-Forum

Lecturer(s)


Course Type: elective course

Course Number: MKT 902

Credits: 6

Prerequisites

Recommended: MKT 801 Fundamentals of Marketing Research


Course Content

The primary goal of Advances in Marketing Research is to help students prepare to conduct research which is publishable in the leading research journals in their respective disciplines.  Hence, the feedback students receive will be consistent with that dispensed by the reviewers and editors of the most prestigious research journals in business (i.e., highly critical).  Even when a manuscript is accepted for publication at a leading journal, the authors typically receive mostly negative comments on their work.  It is important that students not take criticism of their research personally.  To do so would be extremely ego deflating and would interfere with their subsequent performance on other assignments.  Moreover, students need to develop the ability to accept and use criticism to be able to survive in the academic publishing world.

Learning outcomes: Advances in Marketing Research is designed to assist doctoral candidates in acquiring a deeper understanding of the research process and a knowledge of the research tools which they will need to design and execute scientific research on behavioral and organizational issues in marketing.  An effort is made to help the students develop research judgment as well as research skills so that they will be better able to assess when a proposed piece of research is likely to be fruitful and when it is not.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
16.02.18
01.06.18
Friday
10:15
13:30
L9, 1-2, room 009


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)


Course Type: elective course

Course Number: OPM 802

Credits: 8

Prerequisites

Recommended: Fundamentals in mathematics and statistics


Course Content

The course introduces some fundamental techniques for stochastic modelling and optimization, and it discusses their application in supply chain research. Key topics include:

  • Stochastic processes
  • Markov chains
  • Stochastic dynamic programming
  • Inventory theory
  • Revenue management

The course is taught in a seminar-style format.

Learning outcomes: The course aims to introduce the participants to fundamental stochastic modeling techniques. Upon completion of this course, participants should be able (i) to read and understand corresponding academic papers and (ii) to develop and analyze stochastic models for supply chain management issues.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
13.02.18
29.05.18
Tuesday
15:30
17:00
SO 318

Lecturer(s)


Course Type: elective course

Course Number: OPM 806

Credits: 8

Course Content

A large part of research in operations management focusses on modeling and solving practical problems. In contrast to this “OR approach”, the objective of empirical research is to collect data about practical phenomena in order to describe, explain, or predict how those phenomena work. This module provides an overview of (mainly quantitative) empirical research approaches to investigate research questions in operations management and related fields. The focus in not on the comprehensive treatment of empirical research methods, but on how to proceed from having a basic research question to an appropriate research design and methodology. Hence, special emphasis will be placed on the importance of understanding the contingent relationship between the nature of the research question and the research design used to answer it. Topics covered include quantitative vs. qualitative empirical research, framing of research questions, engaging theory and grounding of hypotheses, measurement and operationalization, sampling, model specification, and mainstream research designs and methodologies. This will enable students to critically evaluate the quality of the majority of empirical research in operations management and to design convincing research of their own.

The course will be taught using an interactive seminar style and is based on the discussion of a selection of papers.

Learning outcomes: At the end of this course, students have gained the competence to initiate, design, implement, and evaluate empirical research in the social sciences as applied to operations management.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
23.02.18
27.04.18
Friday
08:30
13:30
O 226/28


Course Type: elective course

Course Number: OPM 999

Credits: 9

Prerequisites

 


Course Content

This course revolves around a research-oriented project that is carried out by the participants on an individual basis. Supported by their supervisors, participants will gain further experience in conducting research and will practice for the preparation of research proposals and own working papers. Topic and research question(s), project structure, and methodology are chosen independently by each student.

Learning outcomes: The main intended learning outcome is to learn and apply the competences for conducting high-quality research studies in operations management. In addition, participants will practice their skills in how to present research findings.

Form of assessment: Paper and Presentation


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Kick-off
19.02.18
Monday
15:30
17:00
SO 322


Course Type: core course

Course Number: TAX 801

Credits: 8

Prerequisites

Recommended: Basic knowledge of national and international tax law


Course Content

This course integrates tax law with national and international tax planning. The main topics include:

  1. Fundamentals of tax planning and tax neutrality.
  2. The choice of the organizational Form.
  3. Flat tax and dual income Tax.
  4. International tax planning.
  5. Effective tax rates.

Learning outcomes: The course gives guidance to students who are interested in the impact of taxes on the decisions of firms. The focus is on investment and financing decisions as well as on location decisions both from a national and from an international perspective.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
22.02.18
Thursday
08:30
11:45
O 048
23.02.18
Friday
08:30
11:45
08.03.18
Thursday
08:30
11:45
O 048
22.03.18
Thursday
08:30
11:45
O 048
23.03.18
Friday
08:30
11:45
12.04.18
Thursday
08:30
11:45
O 048
13.04.18
Friday
08:30
11:45
26.04.18
Thursday
08:30
11:45
O 048
27.04.18
Friday
08:30
11:45
11.05.18
Friday
08:30
11:45
24.05.18
Thursday
08:30
11:45
O 048
25.05.18
Friday
08:30
11:45


Course Type: elective course

Course Number: ACC/TAX 920

Credits: 6

Course Content

The course is taught in a seminar-style format. Students present their own research ideas at different stages of the project (early ideas, preliminary results, and complete working papers). The presentations involve an interactive discussion between faculty and students about the project’s potential contribution, related literature, research design and interpretation of results.

Form of assessment: Presentation (50%), Class Participation (50%)

Please note that this is the current status of the Brown Bag Seminar, Feb. 21 and March 7 are still available for presentatations. Please contact Zdenka Pospisil under accap(at)uni-mannheim.de to sign up for a slot.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Seminar
F. Zawodsky
14.03.18
14.03.18
Wednesday
13:45
15:16
SO 133
N. Boob
21.03.18
21.03.18
Wednesday
13:45
15:15
SO 133
T. Martens
11.04.18
11.04.18
Wednesday
13:45
15:15
SO 133
C. Ludwig, V. Dutt, H. Vay
02.05.18
02.05.18
Wednesday
13:45
15:15
SO 133
M. Todtenhaupt, T. Schwab
09.05.18
09.05.18
Wednesday
13:45
15:15
SO 133
M. Olbert
16.05.18
16.05.18
Wednesday
13:45
15:15
SO 318


Course Type: elective course

Course Number: MET

Credits: 5

Prerequisites

Having a research project at an advanced stage

 

Assessment:

Presentation and discussion at GESS Research Day

Three pages referee report

Participation in discussion panel during the Research Day

Three pages individual reflexion of the Research Day

Ongoing meetings with discussion panel group

Participation at Science Speed Dating event

Five pages interdisciplinary research proposal (group of two students)

Presentation of research proposal

Only pass/fail


Course Content

This course aims at fostering the interdisciplinary spirit of the graduate students at the GESS. Participants will attend and participate at the GESS Research Day and the Science Speed Dating event in order to discover their potential for interdisciplinary and collaborative work. Participation at the GESS Research Day will include presenting an on-going working paper, discuss a presentation from another field of study and write a referee report about it and participate in one discussion panel. The idea of the discussion panels is to bring together students from different centers with matching research interests. Within these panels, the students should talk about their research interests and ideally come up with some joint interdisciplinary research ideas.

During the Science Speed Dating event, course participants will discuss with graduate students from other departments and develop at least one collaborative research proposal. The proposal will be presented in a third meeting around one month after the speed dating.

 

Course dates:

Research Day: March 5th, 2018

Speed Dating: May 15th, 2018

Presentation of research proposal: tbd, around mid-June


Competences acquired

Present own research in front of a general audience

Discuss work from another field

Develop and present own interdisciplinary research ideas


Schedule

Type
From
To
Weekday
From
To
Room
Material
Workshop
05.03.18
Monday
09:00
17:00
R 130, R 212/13 and R 230 (B 6, 30-32)

Lecturer(s)


Course Type: elective course

Course Number: TAX 913

Credits: 10

Prerequisites

Recommended: Advanced Econometrics I or Applied Econometrics I


Course Content

This course gives an introduction to the main subjects and methodologies of empirical taxation research. Important landmark papers as well as contributions from the current research frontier will be discussed. If the relevant data is available, students get the chance to understand the empirical approach in practice in the computer lab. Following topics may be included:

  • Tax incidence
  • Tax efficiency
  • Taxes in the context of mergers and acquisition
  • Taxation of multinationals
  • Tax avoidance and tax evasion
  • Capital taxation
  • Labor taxation

Learning outcomes: The course should enable participants to identify gaps in the existing literature and to evaluate the potential of new research ideas. As a primary objective, the course supports students in developing their empirical research projects.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
13.02.18
29.05.18
Tuesday
10:15
11:45
L 9, 1-2, room 001

Lecturer(s)


Course Type: elective course

Course Number: TAX 917

Credits: 8

Course Content

This course covers empirical methods which were not part of the Applied Econometrics I module. Potential topics are determined according to demand and may include limited dependent variable regressions (binary, multinomial, sample selection, count data), matching estimators, quantile regressions and programming. Grading is based on presentations, empirical assignments and participation. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
12.02.18
30.05.18
Monday, 10:15-11:45, Wednesday, 8:30-11:45
10:15
11:45
Monday: O 226/28, Wednesday: SO 133

Lecturer(s)


Course Type: elective course

Course Number: TAX 921

Credits: 6

Prerequisites

All participants are required to read the essential reading material prior to the course and prepare

a discussion for at least one paper. It is also expected that students attempt to briefly

answer the following questions about each paper:

1) What is the research question and why is it important?

2) What are the hypotheses?

3) How is the question being addressed?

4) What are the main empirical findings? Do the results support the hypotheses?

5) How could the study be improved or extended (one or two suggestions)?

Finally, students should actively participate in the class discussions.


Course Content

The objective of this course is to enhance students’ ability to critically evaluate and conduct empirical tax
accounting research. This course is also intended to expand the students’ understanding of the interactions
between income taxes, financial reporting, and external stakeholders, such as investors, analysts, and
external auditors. In addition to introducing students to tax research that overlaps with research in
financial accounting, managerial accounting, corporate finance, and economics, this course should
also help them to develop:

  1. An appreciation for the role of theory in applied work.
  2. An understanding of research designs commonly used in accounting and finance research.
  3. The necessary skills to design and conduct empirical research.
  4. Skills to identify a marketable project.

For this purpose, students will read and discuss seminal and recent archival research on taxation. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
09.04.18
Monday
08:30
18:45
L 9, 1-2, room 210
10.04.18
Tuesday
08:30
17:00
17.04.18
Tuesday
08:30
12:00
O 254
25.04.18
30.05.18
Wednesday
15:30
18:45
O 254

Register

Business Spring 2018

ACC 802
Analytical Research in Accounting
ACC 903
Empirical Accounting Research I (Research Methods)
ACC 904
Empirical Accounting Research II (Causal Inference)
E801
Advanced Microeconomics II
ACC/TAX 920
Brown Bag Seminar Accounting and Taxation
MET
Interdisciplinary Work in the Economic and Social Sciences (Bridge Course)
TAX 921
Tax Accounting Research
FIN 802
Continuous-Time Finance
FIN 803
Corporate Finance
FIN 804
Econometrics of Financial Markets
FIN 901
Behavioral Finance
FIN 913
Advanced Quantitative Risk Management
IS 807
Designing Qualitative Research Projects
IS 903
Information Systems Theories
IS 911
Context-Aware Computing
MAN 801
Advances in Entrepreneurship and Management Research
MAN 804
Advances in Strategic Management
MAN 807
Experimental Research in Management
MKT 804
Theory Development and Model Building
MKT 901
Designing Marketing Research Projects
MKT 803
Consumer Behavior
MKT 902
Advances in Marketing Research
OPM 802
Dynamic and Stochastic Models in Supply Chain Research
OPM 806
Empirical Research in Operations Management
OPM 999
Project Study Operations
TAX 801
Business Taxation
TAX 913
Empirical Taxation Research
TAX 917
Applied Econometrics II