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 2015

Lecturer(s)


Course Type: core course

Course Number: ACC902

Credits: 8

Course Content

This course investigates strategies of normative research with regard to International Financial Reporting Standards (IFRS) from an interdisciplinary perspective. In the first part of the course, we discuss the foundations of normative accounting research. In particular, we show how this research methodology can successfully be applied despite claims of its alleged impossibility. Furthermore, we compare the legal traditions of normative interpretation in the US and in Europe. In the second part, we analyze the existing system of IFRS from different conceptual approaches and develop grounds for their further general development as well as solutions.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Written assignment

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
10.02.15
26.05.15
Tuesday
15:30
18:45
O133

Lecturer(s)


Course Type: core course

Course Number: ACC903

Credits: 8

Course Content

This course will introduce participants to core themes and methodologies of economics-based (archival) empirical financial accounting research. We will consider the historical origins (“classics”), key seminal papers and current state of the art publications in the core areas in this field of accounting research.Those areas include:

  • Accounting information and security prices
  • Positive accounting theory / Earnings Management
  • Conservatism
  • Disclosure Research
  • International accounting research

We will discuss selected individual papers for each of the areas we cover.

 

Literature

  • Kothari, S.P. (2001): Capital Market Research in Accounting, in: Journal of Accounting and Economics, Vol. 31, S. 105-231.
  • Beaver, W.H. (1997): Financial Reporting: An Accounting Revolution, Prentice Hall, 3rd ed.
  • Watts, R.L./Zimmermann (1986): Positive Accounting Theory, Prentice-Hall.

 

Requirements for the Assignment of ECTS Credits and Grades

  • 100% final exam

 

Kick-off: 11.02.2015 – 14:00 at the office of Prof. Daske


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
17.02.15
26.05.15
Tuesday
11:45
15:00
L9, 1-2

Lecturer(s)


Course Type: elective course

Course Number: ACC911

Course Content

This course aims at students in accounting and taxation. The course is taught in a seminar-style format. Students present their own research and discuss the presentations of other students. Students are introduced in writing referee reports to (drafts of) papers. Allocation of topics will be determined in class.

Students will learn how to present and discuss their own research results. They will become acquainted with acting as discussant for other topics. Additionally, they will learn how to write a referee report.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
11.02.15
27.05.15
Wednesday
13:45
15:15
11.02.15
27.05.15
Wednesday
15:30
17:00


Course Type: core course

Course Number: FIN802

Credits: 8

Prerequisites

Discrete-Time Finance, Mathematics


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

 

Further information

Participation in the lectures is open to all interested students. Participation in the exams is restricted to eligible students.

Literature

  • Shreve, S.E.: Stochastic Calculations for Finance II: Continuous-Time Models, Springer 2004
  • Hull, John C.: Options, Futures and Other Derivatives, Prentice Hall
  • Sondermann, D.: Introduction to Stochastic Calculus for Finance, Springer 2006

 

Requirements for the Assignment of ECTS Credits and Grades

  • Homework assignments
  • Class participation
  • Final take-home exam

 

Tutorial biweekly, starting 19.02.2015


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
12.02.15
28.05.15
Thursday
15:30
17:00
A5, 6 – B144
Tutorial
19.02.15
30.05.15
Thursday
13:45
15:15
B6, A305

Lecturer(s)


Course Type: core course

Course Number: FIN803

Credits: 8

Prerequisites

The prerequisites for this course are a first-year doctoral level course in microeconomics that covers game theory and information economics (signaling, adverse selection, equilibrium refinements) and 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, 8th edition, McGraw Hill 2006; Grinblatt and Titman, Financial Markets and Corporate Strategy, 2nd edition, McGraw-Hill 2000) would be useful.


Course Content

This course is intended to enable students to understand and conduct research in corporate finance. It is taught at a first-year doctoral level and combines two objectives. Firstly, participants learn the classic contributions to the theory of modern corporate finance and understand the main contributions to the field. 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. At the end of the course participants should be familiar with the main empirical and theoretical tools used in corporate finance.

Literature

  • Tirole, Jean: The Theory of Corporate Finance, Princeton University Press, Princeton 2006
  • de Matos, Joao Amaro, 2001, Theoretical Foundations of Corporate Finance, Princeton. Oxford (Princeton University Press)

 

 

For course details, click here. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
17.04.15
Friday
08:30
12:15
L9, 1-2, 409
24.04.15
Friday
08:30
12:15
L9, 1-2, 409
08.05.15
Friday
08:30
12:15
L9, 1-2, 409
15.05.15
Friday
08:30
12:15
L9, 1-2, 409
22.05.15
Friday
08:30
12:15
L9, 1-2, 409
29.05.15
Friday
08:30
12:15
L9, 1-2, 409


Course Type: core course

Course Number: FIN804

Credits: 8

Course Content

Grammig-Part:

  • Moment Matching: GMM as an encompassing estimation technique, Hansen (1982):one formula for the parameters, one for the errors.
  • Examples. Generic versus objective-based GMM.
  • Fundamental asset pricing equations and consequences for econometric modeling
  • GMM estimation and testing in empirical finance: useful econometric results
  • and implementation issues
  • Application to empirical asset pricing. Failure of the consumption-based asset pricing model and potential reasons.
  • Recent models and results
  • The use of instrumental variables in empirical asset pricing: managed portfolios and scaled factors
  • More on instruments and empirical results. Linear factor models.
  • Regression-based approaches to estimating empirical asset pricing models
  • Time series regressions and two-pass regressions. Special cases of generic GMM.
  • Asymptotic distribution theory of GMM: consistency and asymptotic normality.
  • Two formulas: One for the parameters, one for the errors: Derivation


Gaspar-part:

The course covers both methods and applied work in empirical corporate finance. We focus on four broad topics: Mergers and Acquisitions, Public Offerings and Venture Capital, Ownership and Governance, and Capital Structure. The first half of each session is an introduction to the relevant econometric methods underlying each topic. The second half of the session consists of presentations of empirical papers by participants in the course.
Econometric techniques covered include: event study methods; self-selection models; causality; differences in differences (DiD); matching; regression discontinuity designs (RDD); dynamic panel data (DPD). The proposed outline is rather ambitious, and should be seen as tentative. The amount of time spent in each area will depend on the rhythm of the class, as well as on students’ research interests. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
06.03.15
Friday
08:00
19:00
O 129
13.03.15
Friday
08:00
19:00
O 048
14.03.15
Saturday
08:00
19:00
O 129
20.03.15
Friday
08:00
19:00
409 – L9, 1-2
11.04.15
Saturday
08:00
19:00
409 – L9, 1-2

Lecturer(s)


Course Type: core course

Course Number: FIN901

Credits: 8

Prerequisites

Introductory exam (details are provided in the first session).


Course Content

This course includes FIN620: 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.

Literature

  • Barberis/Thaler (2003): A Survey of Behavioral Finance, in: Handbook of the Economics of Finance, Chap. 18, 1054-1123.
  • Glaser/Nöth/Weber (2004): Behavioral Finance, in: Blackwell Handbook of Judgment and Decision Making, Chap. 26, 527-546.

 

Further information

The papers for the Paper Discussion series will be chosen in the first session. Attendance of the first session is mandatory. Ph.D. students who want to get credits for the course are allowed to miss one session. Professor Weber has to be notified of the abscence in advance.

For further information please refer to: bank.bwl.uni-mannheim.de/130.html During the term, current research papers in behavioral finance and its decision theoretic foundations will be discussed and presented by the course participants. For further information about the paper discussion please go to: weber.bwl.uni-mannheim.de/149.html

 

Requirements for the Assignment of ECTS Credits and Grades

  • Exam
  • Presentation

Competences acquired

After completing this course, students will be able to better understand economic decisions and how they affect market prices and returns. They will know how behavioral findings are integrated with neo-classical theory. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
10.02.15
26.05.15
Tuesday
13:45
15:15
L5, 2, 107
Einführungsveranstaltung
12.02.15
12.02.15
Thursday
11:45
13:00
SN163

Lecturer(s)


Course Type: elective course

Course Number: FIN909

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
19.02.15
Thursday
12:30
13:30
L9, 1-2, 001
26.02.15
Thursday
12:30
13:30
L9, 1-2, 001
12.03.15
Thursday
12:30
13:30
L9, 1-2, 001
19.03.15
Thursday
12:30
13:30
L9, 1-2, 001
16.04.15
Thursday
12:30
13:30
L9, 1-2, 001
23.04.15
Thursday
12:30
13:30
L9, 1-2, 001
30.04.15
Thursday
12:30
13:30
L9, 1-2, 001
21.05.15
Thursday
12:30
13:30
L9, 1-2, 001

Lecturer(s)


Course Type: elective course

Course Number: FIN913

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.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Exam

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.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
Kick-off meeting
10.02.15
10.02.15
Tuesday
13:45
15:15
O 328


Course Type: elective course

Course Number: FIN918

Credits: 4

Prerequisites

It is not required to have any knowledge in Python, AutoIt, or any other programming language. All necessary commands will be learnt during the lectures and the exercise sessions. Nevertheless, having some previous programming experience will be helpful. Students should have some basic knowledge in accounting, economics, or finance.


Course Content

Starting with Antweiler and Frank (2004) and Tetlock (2007) textual analysis has become a more and more frequently used method in financial research. In this course, students will learn how textual analysis works and how to implement it. This course consists of four parts.

The first part will give an introduction to the major papers on textual analysis. The lecturer will discuss the most commonly used methods for textual analysis, e.g. simple word count and naïve Bayes. Furthermore, the most common types of documents that have been analyzed in the literature so far will be presented. The students will also learn which variables (e.g., market returns, market volatility, firm-level accounting data, etc.) have been shown to be predictable by quantifying textual information.

In the second part, the most commonly used databases for textual analysis will be presented. This will include the standard databases for newspapers and newswires (Factiva and Nexis), the EDGAR (Electronic Data Gathering, Analysis, and Retrieval System) of the Security and Exchange Commission, and other databases.

The third part deals with the implementation of textual analysis and will introduce the necessary commands of the programming language Python. The students will learn how to find specific files in the EDGAR system and how to download them. Next, they will learn how to modify files and how to prepare the documents for the textual analysis, e.g. how to delete html code in the files. Last, the software package LIWC will be introduced and students will get to know how they can run a simple word count based textual analysis with this software.

In the fourth part of the course students will learn how to use the AutoIt scripting language to obtain “non-ready-to-download” data. AutoIt allows to imitate human web browsing. This feature can be very useful when one needs to obtain data from sources that do not have a clear file and folder structure. For example, the students will learn the AutoIt commands for mouse movements and clicks, for window handling, for typing text, etc.

 

Course Materials:

The lecturer will use presentation slides, which will be sent to the participants by e-mail.

The course is mainly based on papers using textual analysis published in the top finance journals and also on recent working papers. Students will receive the core literature of the course in the first lecture as pdf files.

In the third and fourth part of the course students will work with the programming languages Python and AutoIt. Both are freely available for download at https://www.python.org/downloads/ and at https://www.autoitscript.com/site/autoit/downloads/.

Students will need a computer or notebook for the exercises and for the final assignment.

 

Participation, Credits and Grading:

Students can choose between two options of participation. In the elective course option, students have to complete a 48 hour take home exam and they will receive 4 ECTS if they pass the exam. In the workshop option, students do not have to take the final exam but they will not get any ECTS. In both cases, course attendance is mandatory. It is not allowed to participate only in some parts of the course.

Note: The lecturer reserves the right to make modification to this syllabus. The modifications (if any) will be announced in class. Students are responsible for all announcements made in class.


Competences acquired

During this course students will get an overview of the literature on textual analysis in finance which will allow them to identify potential new research questions in this field more easily. Furthermore, students will learn to program a word count based textual analysis. The program skills learnt in the course include the entire process from data gathering to tone measurement. Last, students will learn how they can automate the data collection of “non-ready-to-download” data, e.g. Google search volume, by scripting.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
18.05.15
Monday
10:00
16:00
L9, 1-2, room 210
19.05.15
Tuesday
10:00
16:00
L9, 1-2, room 001 (morning) and L9, 1-2, room 409 (afternoon)
20.05.15
Wednesday
09:00
12:00
L9, 1-2, room 210


Course Type: elective course

Course Number: FIN919

Credits: 4

Course Content

This PhD-level course takes an in-depth look at empirical asset pricing from an international point of view. We will study empirical asset pricing models, used to predict equity and currency returns around the world. We will describe the most common risk factors proposed in the literature to explain asset returns. We will analyze popular investment strategies, such as value, momentum and carry, and discuss their returns and risks. We will also talk about other asset-pricing anomalies and their rational and behavioral explanations. The course takes a global perspective because we will study general asset-pricing phenomena observed in different countries, regions and asset markets.

In the first six lectures, we will discuss the main empirical findings and the methodology employed. We will start from covering the most classical contributions in each field, and move to the research frontier. Students will be familiar with the main puzzles and anomalies of asset pricing and should be able to make use of them to form investment strategies. Students will also learn the main sources of financial data, different econometric and numerical methods employed and the shortcomings of some estimation procedures. So, the course will not only introduce the main findings, but will teach how to conduct empirical research in finance.

The last two lectures of the course will be devoted to presentations of students’ own research and discussions. In order to receive a credit for the course, students are expected to either replicate a study using publicly available data or to do their own original piece of research and make a presentation. Students will need to choose a topic at the beginning of the course and work on it during the course.

The course is aimed at PhD students in Finance. The prerequisites for the course are first-year courses of Theories of Finance and Financial Econometrics. Overall, the course consists of four meetings. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
06.05.15
Wednesday
14:00
18:00
L9, 1-2 Room 409
13.05.15
Wednesday
14:00
18:00
SW 277
20.05.15
Wednesday
14:00
18:00
SW 277
27.05.15
Wednesday
14:00
18:00
L9, 1-2 Room 409

Lecturer(s)


Course Type: core course

Course Number: IS903

Credits: 8

Course Content

This course is designed to provide doctoral students an understanding of the foundation of theory development and contribution. Much of the research in IS draws upon theories from other disciplines, including industrial psychology, sociology, management, and marketing, in developing models to apply to an IS research problem.

However, there is a small body of IS-specific theories which are relevant not only to IS research but to research in other disciplines. The course will include readings from outside the IS discipline as well as within it. The course is designed for both information systems (IS) and non-IS Ph.D. students.

The readings in the course will deepen the students’ understanding of the role of theory in understanding IT related organizational phenomenon and enhance their ability to theorize about IT related to their own various research themes. The objective is to provide students with exposure to theories, the use of theories in research, and the development of new theories to help them better create new or apply existing theories to their own research. The first few sessions of the course will emphasize the nature of theory, theory contribution, and theory development whereas the remaining sessions will examine particular theories related to IT and organizational phenomenon. These latter theories. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
15.06.15
Monday
08:15
11:30
L15, 1-6, room 214/15
17.06.15
Wednesday
08:15
11:30
L15, 1-6, room 214/15
19.06.15
Friday
08:15
11:30
L15, 1-6, room 214/15
22.06.15
Monday
08:15
11:30
L15, 1-6, room 214/15
24.06.15
Wednesday
08:15
11:30
L15, 1-6, room 214/15
26.06.15
Friday
08:15
11:30
L15, 1-6, room 214/15
29.06.15
Monday
08:15
11:30
L15, 1-6, room 214/15

Lecturer(s)


Course Type: core course

Course Number: IS904

Credits: 8

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, epistemological classification and alternatives of conducting qualitative research. It then provides deeper insights into three types of qualitative research, i.e. positivist variance-theoretic, interpretive, and process theoretic. For the interpretive approach, the students are required to summarize and discuss particular research papers and to reflect on how the principles of conducting interpretive research were applied in the respective papers. For this purpose the students are grouped into teams. Overall, the course is designed to be interactive. 


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
18.06.15
Thursday
12:00
13:30
19.06.15
Friday
12:30
13:30
16.07.15
Thursday
11:00
14:00
17.07.15
Friday
11:00
14:00

Lecturer(s)


Course Type: core course

Course Number: MAN801

Credits: 8

Course Content

This seminar will expose participants to the rich ecology of theoretical perspectives flourishing in management research. This will enable students to understand basic concepts, find appropriate theoretical concepts and lenses and apply them properly to their individual research topics. Students are invited to develop creative research proposals worthwhile to be developed into a strong dissertation based upon well grounded theoretical perspectives. The course will be taught in English.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
09.02.15
09.02.15
Monday
15:45
18:45
16.02.15
16.02.15
Monday
15:45
18:45
02.03.15
02.03.15
Monday
15:45
18:45
09.03.15
09.03.15
Monday
15:45
18:45
16.03.15
16.03.15
Monday
15:45
18:45

Lecturer(s)


Course Type: core course

Course Number: MAN803

Credits: 8

Course Content

This course transmits knowledge about econometric methods and their application in empirical entrepreneurship and management research. Students will be able to understand and apply quantitative methods for analyzing various entrepreneurship and management related research questions, such as entry determinants of entrepreneurship, firm performance, organizational change, human resource management and strategic management. Students will be introduced to the theory and the application of econometric methods (such as advanced regression analyses, structural equation models, and hierarchical linear models) in management and entrepreneurship research. The application will be demonstrated with practical examples and exercises using general purpose software packages such as SPSS, as well as more specialized programs such as AMOS.

 

Further information

Please note this course will be held as a block course.

 

Requirements for the Assignment of ECTS Credits and Grades

Students are expected to apply the acquired methodical knowledge and deliver an individual term paper by the end of the semester to demonstrate their ability to analyze an empirical research question. They also have to pass the end-term exam


Competences acquired

By the end of the module students will:

gain an overview of various quantitative methods, namely

  • Regression models (generalized linear models)
  • Factor analysis
  • Full structural equation models
  • Hierarchical linear models
  • Panel and growth curve models and their application in the field of management and entrepreneurship research by using different software packages such as PASW 17, AMOS and SYSTAT 10.
  • master several challenging new themes in the area of entrepreneurship research.

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
06.03.15
06.03.15
Friday
09:00
17:00
O26/28
13.03.15
13.03.15
Friday
09:00
17:00
O26/28
27.03.15
27.03.15
Friday
09:00
17:00
O26/28

Lecturer(s)


Course Type: core course

Course Number: MAN804

Credits: 8

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. 


Competences acquired

  • 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
23.02.15
23.02.15
Monday
16:00
20:00
L4, 1 – room 004
22.04.15
22.04.15
Wednesday
08:00
18:00
L4, 1 – room 004
23.04.15
23.04.15
Thursday
08:00
18:00
L4, 1 – room 004


Course Type: core course

Course Number: MAN902

Credits: 8

Course Content

Introduction

Organizations and contexts are interrelated. First, organizations serve as contexts for organization members, influencing individual-level behavior and outcomes. This organization-as-context perspective suggests that organizational characteristics represent constraints and facilitators, affecting the base rates at which individual and collective behavior occurs within organizations, and influencing the relationship between individual and collective behavior and its outcomes (Johns, 2006; Mowday and Sutton, 1993; Rousseau and Fried, 2001). An organization’s culture, for example, may significantly affect whether employees are more or less willing to reveal problems or mistakes, which in turn may have a significant impact on an organization’s ability to innovate (Edmondson, 1999). Second, organizations themselves are embedded in environmental contexts. This organization-in-context perspective suggests that organizational characteristics and strategic actions, as well as their respective consequences, may be significantly affected by the institutional and competitive environment surrounding organizations. In different competitive environments, for example, organic organizational structures may foster or forestall superior organizational performance (Davis et al. 2009). These two perspectives, organizations-as-context and organizations-in-context, emphasize the importance and explanatory impact of context in organization research.

 

Structure

The course is offered as a blocked seminar. The rooms in which the seminar will take place will be announced via e-mail to all registered participants prior our initial meeting. In preparation of the first session, participants will read the introductory readings listed below. In the first session, the instructors will give a short introduction to the seminar topic and provide participants with empirical organization research employing a contextualized perspective.

 

Further information

Introductory Readings

  • Dacin, M. T., Ventresca, M. J., & Beal, B. D. (1999). The Embeddedness of Organizations: Dialogue & Directions. Journal of Management, 25, 317-356.
  • Johns, G. (2006). The Essential Impact of Context on Organizational Behavior. Academy of Management Review, 31, 386–408.
  • Klein, K. J., Tosi, H., & Cannella Jr, A. A. (1999). Multilevel Theory Building: Benefits, Barriers, and New Developments. Academy of Management Review, 24, 248-253.
  • Mowday, R. T., & Sutton, R. I. (1993). Organizational Behavior: Linking Individuals and Groups to Organizational Contexts. Annual Review of Psychology, 44, 195–229.
  • Van de Ven, A. H., Ganco, M., & Hinings, C. R. (2013). Returning to the Frontier of Contingency Theory of Organizational and Institutional Designs. Academy of Management Annals, 7, 393-440.

References

  • Davis, J. P., Eisenhardt, K. M., & Bingham, C. B. (2009). Optimal Structure, Market Dynamism, and the Strategy of Simple Rules. Administrative Science Quarterly, 54, 413–452.
  • Edmondson, A. (1999). Psychological Safety and Learning Behavior in Work Teams. Administrative Science Quarterly, 44, 350–383.
  • Edmondson, A. C., Bohmer, R. M., & Pisano, G. P. (2001). Disrupted Routines: Team Learning and New Technology Implementation in Hospitals. Administrative Science Quarterly, 46, 685–716.
  • Johns, G. (2006). The Essential Impact of Context on Organizational Behavior. Academy of Management Review, 31, 386–408.
  • Mowday, R. T., & Sutton, R. I. (1993). Organizational Behavior: Linking Individuals and Groups to Organizational Contexts. Annual Review of Psychology, 44, 195–229.
  • Rousseau, D. M., & Fried, Y. (2001). Location, Location, Location: Contextualizing Organizational Research. Journal of Organizational Behavior, 22, 1–13.

 

Requirements for the Assignment of ECTS Credits and Grades

Participants will then develop a short review presentation (first assignment) which summarizes and critically evaluates a selection of the studies provided. Participants will present their reviews in the afternoon of the second day of the first session. Between the first and second session of the seminar, participants will work on a research presentation (second assignment) and a short paper (third assignment) that explicitly links their research interests with an organizations-as-contexts and/or an organizations-in-contexts perspective. Research presentations are held at the second session of the seminar. After the second session, students have an additional two weeks to incorporate the feedback provided and submit their short papers.


Competences acquired

This doctoral seminar serves two major purposes. First, it will provide participants with an overview on two major streams of empirical organizational research, thus improving their understanding of the relevance of organizations as context and organizations operating in contexts. Based on this knowledge, participants will develop own research questions that connect their own research interests with an organizations-as-context or organizations-in-context perspective.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
19.03.15
19.03.15
Thursday
09:00
19:00
L5, 2, 107
20.03.15
20.03.15
Friday
09:00
19:00
L5, 2, 107
08.05.15
08.05.15
Friday
09:00
19:00
L5, 2, 107

Lecturer(s)


Course Type: core course

Course Number: MKT802

Credits: 8

Course Content

The course will consist of assigned reading material, mini-lectures, student presentations, and discussions. Mini-lectures will be intended to elaborate points that might be difficult to glean from readings and to stimulate discussion. Generally, the course will be instructor guided but student run. That is, participants will be responsible for reading and analyzing course readings prior to class, presenting the assigned material, leading discussions on this material, and contributing additional relevant material on topics covered. The success of the course is heavily dependent on all participants having relatively equal levels of knowledge about each topic. It is critical, therefore, that all participants read the material in advance of each class session. There is a set of reading material distributed prior to class beginning and during the course.

 

Further information

Required Materials: Marketing Theory: Foundations, Controversy, Strategy, Resource-Advantage Theory Shelby D. Hunt, M.E. Sharpe (2010)

 

Requirements for the Assignment of ECTS Credits and Grades

  • Presentation of readings
  • Discussion of readings

Competences acquired

  • Explore some of the historic roots and the development of marketing thought.
  • Learn about the role of explanation, prediction, generalization, laws, and theories in marketing.
  • Understand how world views and philosophies of science influence approaches to conceptualizing and conducting research in marketing.
  • Provide opportunity to exercise and extend scholarly analytical skills in order to facilitate students’ ability to conduct sound academic research.
  • Identify and explore a potential substantive theoretical contribution to the marketing literature and present these in class.

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
15.04.15
15.04.15
Wednesday
15:30
16:30
27.05.15
27.05.15
Wednesday
09:00
17:00
03.06.15
03.06.15
Wednesday
09:00
17:00

Lecturer(s)


Course Type: core course

Course Number: MKT803

Credits: 8

Course Content

The goal of this course is to provide insights into research and content issues in Consumer Behavior. Students will read key research papers on important topics and critically evaluate the studies. 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, attention and comprehension, memory, attitudes and attitude change, and decision making models. 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.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Paper Presentations - (25%): Students will be asked to make short presentations of assigned papers to lead a discussion on a particular article or topic. This involves a short summary as well as a set of 4- 5 discussion questions.
  • Class participation (25%): Students are expected to participate in the discussions on the research articles.
  • Research Proposal (50%): Each student will write a research proposal in one of the topic areas discussed in class.

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
11.05.15
11.05.15
Monday
15:30
18:00
13.05.15
13.05.15
Wednesday
09:00
12:00
15.05.15
15.05.15
Friday
13:00
16:00
18.05.15
18.05.15
Monday
09:00
12:00
20.05.15
20.05.15
Wednesday
09:00
12:00
22.05.15
22.05.15
Friday
13:00
16:00

Lecturer(s)


Course Type: core course

Course Number: MKT901

Credits: 8

Prerequisites

MKT801


Course Content

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 litera¬ture, 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.

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.

 

Further information

  • Identifying and positioning impactful research projects (sources of inspiration,, relevance of topics, requirements regarding data and analysis, journal choice)
  • Paper writing (journal-specific aspects, title, abstract and structure of a paper, writing a good introduction, clarity, proper use of literature)
  • Surviving the review process (prior to submission: friendly reviewing and copy-editing, journal-specific aspects, possible decisions, key success factors in a revision process)
  • Preparing research presentations (structure and content, general presentation recommendations)
  • Presentation of own research project (positioning, research questions, theoretical background, hypotheses, method and data, potential outcomes and implications) with a maximum of 25 slides (about 40 minutes per project)
  • Discussion of projects with the instructor and wih the other participants (about 20 minutes per project)
  • Guidelines for improving the projects
  • The contact person for this course is Dr. Jana Prigge.
  • This course is especially useful for Ph.D. students in the second semester (in the first year) who have to prepare their dissertation proposal by August. The course is open to students of all areas in business administration. In particular, it is designed for students (Ph.D. or Master track 'Business Research') in the areas marketing, management, and information systems.
  • Please register online for this course via the CDSB-website by the due date.
  • The number of participants is limited to 12.
  • In addition to the registration and for the same deadline, students must indicate the research projects they want to present (topic plus abstract of about 300 words). Documents have to be sent by E-Mail to homburg@bwl.uni-mannheim.de.

 

The following literature has to be prepared for the kick-off meeting:

  • Davis, D. F., Golicic, S. L., Boerstler, C. N. (2011), Benefits and Challenges of Conducting Multiple Methods Research in Marketing, Journal of the Academy of Marketing Science, 39, 3, 467-479.
  • Erdem, T. (2010), Spanning the Boundaries, Journal of Marketing Research, 47, February, 1-2.
  • Gulati, R. (2007), Tent Poles, Tribalism, and Boundary Spanning: The Rigor-Relevance Debate in Management Research, Academy of Management Journal, 50, 4, 775-782.
  • Homburg, Ch. (2003), Publishing Processes in the Academic Marketing Discipline in the United States: A German Perspective, Journal of the Academy of Marketing Science, 31, 3, 348-350.
  • Huber, J. (2008), The Value of Sticky Articles, Journal of Marketing Research, 45, June, 257-260.
  • Jaworski, B. J. (2011), On Managerial Relevance, Journal of Marketing, 75, July, 211-224.
  • Kohli, A. K. (2009), From the Editor, Journal of Marketing, 73, January, 1-2.
  • Lehmann, D. R., McAlister, L., Staelin, R. (2011), Sophistication in Research in Marketing, Journal of Marketing, 75, July, 155-165.
  • Lilien, G. L. (2011), Bridging the Academic-Practitioner Divide in Marketing Decision Models, Journal of Marketing, 75, July, 196-210.
  • Reibstein, D. J., Day, G., Wind, J. (2009), Guest Editorial: Is Marketing Academia Losing Its Way? Journal of Marketing, 73, July, 1-3.
  • Stewart, D. W. (2009), The Role of Method: Some Parting Thoughts from a Departing Editor, Journal of the Academy of Marketing Science, 37, 4, 381-383.
  • Varadarajan, P. R. (2003), Musings on Relevance and Rigor of Scholarly Research in Marketing, Journal of the Academy of Marketing Science, 31, 4, 368-376.
  • Yadav, M. S. (2010), The Death of Conceptual Articles and Implications for Knowledge Development, Journal of Marketing, 74, January, 1-19.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Presentation of the research project (60%)
  • Active participation in the discussion of the other presentations (40%).

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
24.03.15
Tuesday
14:00
16:00
21.04.15
Tuesday
09:00
12:00
22.04.15
Wednesday
09:00
12:00
29.04.15
Wednesday
09:00
12:00

Lecturer(s)


Course Type: core course

Course Number: MKT902

Credits: 8

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.

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.

Further information can be found on the Chair's website: kraus.bwl.uni-mannheim.de/89.html

Literature

  • Donald T. Campbell and Julian C. Stanley, Experimental and Quasi-experimental Design for Research, Chicago: Rand McNally, 1963.
  • Thomas D. Cook and Donald T. Campbell, Quasi-Experimentation: Design and Analysis Issues for Field Settings, Chicago: Rand McNally, 1979.
  • Selected articles to be distributed prior to each session.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Grading is based on paper presentations and class participation during the course including summaries and critiques (20%), an final exam at the end of the course (30%), and the independent research reports (oral and written) (50%).
  • Paper Presentations and Class Participation: You will repeatedly be asked to make 20-30 minute presentations of assigned papers and to contribute to specific questions in class. Therefore you will have to prepare to lead a discussion on a particular article or topic. Furthermore, it is expected that every student will be prepared to knowledgeably discuss assigned reading materials each class meeting. The class participation grade will be determined in part by contributions to class discussions and prepared presentation performances.
  • Final Exam: There will be a final examination. The exam will be comprehensive, covering all materials assigned and discussed during the course.
  • Independent Research Report (IRP): Each student will prepare and present to the class a 15-20 page typewritten, double-spaced IRP. This IRP is the partial design of a study which represents an extension/improvement of an existing empirical study. The topic of the IRP will be determined by each student with the professor's approval. Each IRP will be copied and distributed to all class members. All IRPs will be presented in one of the last session of this course.


Course Type: core course

Course Number: OPM802

Credits: 8

Prerequisites

Presentation during the course


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 

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
10.02.15
02.06.15
Tuesday
15:30
17:00
SO 318

Lecturer(s)


Course Type: elective course

Course Number: OPM911

Course Content

The seminar series is supposed to be a regular non-mandatory meeting for members of the Area Operations Management, the Chair of Business Mathematics, and others. The focus is on presenting and discussing

  • ideas for further research,
  • intermediate reports regarding ongoing projects, and
  • recent final results.

The seminar's designated target is to establish a discussion platform, to increase awareness of research conducted in the areas. Topics of presentations may cover all aspects being relevant in the field of Operations Management & Operations Research. All members of the areas are highly encouraged to contribute by presenting their work.

Learning Outcomes: Students will learn how to present and discuss their own research results. They will become acquainted with acting as discussant for other topics. Additionally, they will learn how to write a referee report.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
26.02.15
Thursday
12:00
13:00
SO 318
19.03.15
Thursday
12:00
13:00
SO 318
07.05.15
Thursday
12:00
13:00
SO 318
21.05.15
Thursday
12:00
13:00
SO 318

Lecturer(s)


Course Type: elective course

Course Number: OPM918

Credits: 8

Prerequisites

Prerequisites: OPM 901 – Research Seminar in Operations Management and Operations Research


Course Content

Aim of module: This elective course aims at PhD students in information systems, business administration, and computer science. The course is taught in a seminar-style format. 

Each student gives three presentation about one own research topics to discuss and sharpen the contribution of that work. The presentations are structured similar to papers in that field:

 

  1. Problem description, Model formulation, and contribution to scientific literature
  2. Solution Method
  3. Data analysis and numerical study

 

Students act as discussants to presentations of other students. At the end of the seminar students hand in a draft of the paper, which reflects the discussion to each single point.

Learning outcomes: Students will learn how to structure and discuss their own research results for a presentation and in a paper. They will become acquainted with acting as discussant for other topics. They will learn how to identify and sharpen the contributions of their own work. They learn how to present the analysis of data and how to design numerical studies.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
10.02.15
26.05.15
Tuesday
10:15
11:45
11.02.15
27.05.15
Wednesday
10:15
11:45

Lecturer(s)


Course Type: elective course

Course Number: OPM919

Credits: 8

Course Content

Aim of module:

This course aims at Ph.D. students in information systems, business administration, and computer science. It provides an overview on decomposition methods for the performance analysis of queueing networks, both for uncapacitated networks with so-called product-form solutions, and for finite-buffer networks with approximations. During the course, the students also deal with the analysis of the subsystems via continuous-time Markov chains and/or advanced queueing models. The course is partly taught in a seminar-style format. Allocation of topics will be done together in the class.

Learning outcomes:

The course aims to introduce the students to analytical methods for performance evaluation. They learn to formulate Markov and/or queueing models for the segments of the queueing network. In case of finite buffers, synchronization constraints, and/or non-exponential service times, performance approximation is not trivial. The students learn to deal with the complexity of real-world material-flow or job-flow systems via decomposition techniques for performance analysis of those queuing networks.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
23.04.15
Thursday
08:30
18:45
SO 322
30.04.15
Thursday
08:00
18:45
SO 322
07.05.15
Thursday
08:30
18:45
SO 322
21.05.15
Friday
08:30
18:45
SO 322
28.05.15
Thursday
08:30
18:45
SO 322
11.06.15
Thursday
08:30
18:45
SO 322
12.06.15
Friday
08:30
18:45
SO 133


Course Type: core course

Course Number: E557

Credits: 7

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
11.02.15
27.05.15
Wednesday
14:30
16:15
L9, 1-2, 003
Tutorial
11.02.15
27.05.15
Wednesday
16:15
17:00
L9, 1-2, 003


Course Type: core course

Course Number: TAX801

Credits: 8

Prerequisites

Basic knowledge of national and international tax law.


Course Content

This course integrates tax law with tax planning in a national and an international environment.

The main topics include:

  • Fundamentals of Tax Planning and Tax Neutrality
  • The Choice of the Organisational Form
  • Flat Tax and Dual Income Tax
  • International Tax Planning
  • Effective Tax Rates

The course gives guidance to those students who are interested in research on the impact of taxes on investment and financing decisions as well as on location decisions.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Seminar paper
  • Presentation

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
13.03.15
Friday
10:15
13:30
O251/252
17.04.15
Friday
10:15
13:30
O251/252
24.04.15
Friday
10:15
13:30
O251/252
15.05.15
Friday
10:15
13:30
O251/252
20.05.15
Wednesday
10:15
13:30
SO 418
12.06.15
Friday
10:15
12:30
O226/28

Lecturer(s)


Course Type: core course

Course Number: TAX917

Credits: 6

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.

 

Further information

The schedule of the course can be adjusted (blocked etc.) if interested students are not available at the proposed time slot. In this case, send the lecturer a mail as soon as possible.


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
12.02.15
29.05.15
Thursday
13:45
17:00
O 251/252

Lecturer(s)


Course Type: core course

Course Number: TAX919

Credits: 8

Prerequisites

Basic knowledge of national and international tax law.


Course Content

This course integrates international tax law with specific tax planning tools of multinational companies.

The main topics include:

  • Fundamentals of International Tax Law (Domestic and Tax Treaty Law)
  • Allocation Rules of International Tax Law
  • Allocation of Business Profits (Income and Costs)
  • Determination of Transfer Prices under Domestic and Tax Treaty Law
  • Tax Planning Issues with Regard to Transfer Prices
  • Tax Planning Issues with Regard to Mergers and Acquisitions

The course gives guidance to those students who are interested in research on normative issues on international taxation and relevant tax planning issues resulting from different allocation rules for international income.

 

Requirements for the Assignment of ECTS Credits and Grades

  • Seminar paper
  • Presentation

Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
22.04.15
Wednesday
08:30
17:30
Dahlberg Education Center
23.04.15
Thursday
08:30
17:30
Dahlberg Education Center
06.05.15
Wednesday
08:30
17:30
Dahlberg Education Center
18.05.15
Monday
08:30
17:30
Dahlberg Education Center
19.05.15
Tuesday
08:30
17:30
Dahlberg Education Center
20.05.15
Wednesday
08:30
17:30
Dahlberg Education Center

Lecturer(s)


Course Type: elective course

Course Number: TAX911

Credits: 6

Course Content

Students are trained in presenting their research ideas and output, acting as a discussant at research presentations, and writing review reports. For that end, students are expected to attend research seminars at the MaTax Science Campus institutions. Accounting seminars and/ or public economics seminars may also be considered. The feedback to presentations should also support students in focusing their current research projects. The discussion of review reports should help to identify the current research frontier and to generate new ideas for research. 

When the topic is suitable (as announced):

                                                     Monday 10:45-11:45 (Internal Public Economics Seminar)

                                                     Wednesday 17:15-18:45 (Accounting & Tax Area Seminar)

                                                     Thursday 12:15-13.15 (ZEW internal seminar Peichl group)


Schedule

Type
From
To
Weekday
From
To
Room
Material
Lecture
11.02.15
27.05.15
Wednesday
15:30
17:00
21.05.15
Thursday
09:00
18:00
22.05.15
Friday
09:00
12:00

Register

Business Spring 2015

ACC902
Normative Accounting Research
ACC903
Empirical Accounting Research
ACC911
Brown Bag Seminar
FIN802
Continuous-Time Finance
FIN803
Corporate Finance
FIN804
Econometrics of Financial Markets
FIN901
Behavioral Finance
FIN909
Brown Bag Seminar
FIN913
Advanced Quantitative Risk Management
FIN918
Textual Analysis in Finance
FIN919
Empirical International Asset Pricing
IS903
Information Systems Theories
IS904
Qualitative Research Methods in Information Systems
MAN801
Advances in Entrepreneurship and Organization Research
MAN803
Applied Econometrics in Management Research
MAN804
Advances in Strategic Management
MAN902
Advanced Organization Theories
MKT802
Marketing Theories
MKT803
Consumer Behavior
MKT901
Designing Marketing Research Projects
MKT902
Advances in Marketing Research
OPM802
Dynamic and Stochastic Models in Supply Chain Research
OPM911
Brown Bag Seminar
OPM918
Business Analytics
OPM919
Performance Evaluation of Queueing Networks
E557
Public Economics
TAX801
Business Taxation
TAX917
Applied Econometrics II
TAX919
International Tax Law
TAX911
Brown Bag Seminar