Doctoral Program

t. In this course, the students will study the most recent and advanced models in dynamic programming.

Syllabus: Advanced Dynamic Programming

Registration: self registration in moodle

s meaningfully in management and organisational research. We will specifically focus on non-invasive brain stimulation, electroencephalogram, and functional Magnetic Resonance Imaging. Graduate students will be enabled to understand these methods, successfully read respective papers and their method section, and to assess the potential as well as the pitfalls of neuroscientific methods in their fields of research.

Syllabus: Basic Neuroscience for Organisational Research and Economics

Registration: e-mail to franziska.emmerling@tum.de

s, Lindman, & Savage, 1963). Recent developments in computer science have made the practical application of these approaches accessible. Bayesian methods avoid many of the problems of frequentist methods—such as not being able to confirm the null hypothesis or that p-values depend on the goals during participant recruitment (e.g., Wagenmakers et al., 2017; Kruschke, 2014). In addition, Bayesian statistics is more intuitive than frequentist statistics, in that it evaluates a hypothesis given the data rather than the other way round. Bayesian approaches are therefore likely to eventually replace frequentist approaches in data analysis. The goal of this course is to introduce students to the logic and practice of Bayesian statistics as well as to provide an introduction to cognitive modeling.

Syllabus: Bayesian data analysis and cognitive modeling

Registration: tbd

rnet sources, (2) guides participants to evaluate the costs and benefits of automating data collection, (3) introduces participants to the structure of web sites, (4) reviews the most effective approaches for collecting data from web sources, (5) provides hands-on implementations using Python, and (6) outlines ethical and legal considerations.

Syllabus: Collecting Massive Internet Data

Registration: Please send an email to Office.cdt@wi.tum.de with a registration request that includes your name (see below). Registration deadline: 15.04.2022.

the mechanisms behind a phenomenon is indispensable if one is to give advice to managers or policy makers, or to build theory. Simple regressions on cross-sectional data show associations, but not causality, so we need more sophisticated methods. This course shall convey econometric methods that allow causal inference, or at least to come closer to uncovering causal effects. The focus will be on applicable knowledge, less on details of the theory. The course is part of a series of econometrics courses at TUM School of Management that also comprises “Econometrics I: Research Design and Estimation Methods” by Professor Hottenrott and “Econometrics III: Advanced Econometrics and Machine Learning” by Professor Farbmacher.

Topics comprise various methods to address selection issues and come close to causality:

1. Randomized controlled trials and natural experiments
2. Matching
3. Regression discontinuity design
4. Instrumental variables
5. Panel data
6. Differences-in-Differences
7. Heckman selection models

Syllabus: Econometrics II: Causal Inference

Registration: Until April 20, 2022, via Moodle.

ims to provide students with a sound understanding of the methods discussed, such that they are able to do research using modern econometric techniques, as well as critically assess existing studies.

In particular, the course will cover the following topics:

• Regression Shrinkage Methods (Ridge, Lasso, Elastic Net)
• Adaptive Lasso Regression
• Classifier-Lasso Regression
• Double Machine Learning

Syllabus: Econometrics III

Registration: tbd

lied more or less meaningfully in management and organisational research. Graduate students will be enabled to understand eye tracking, successfully read respective papers and their method section, and to assess the potential as well as the pitfalls of eye tracking in their fields of research. Furthermore, graduate students will be familiarised with the complete research cycle of eye tracking studies (designing/developing, conducting and analysing eye tracking studies).

Syllabus: Eye Tracking for Organisational Research and Economics

Registration: Please send an e-mail to hannah.kunde@tum.de before September 15th 2022 – including a brief description of your prior experience with eye tracking and your TUM-ID.

o conducting field experiments, with a particular focus on field experiments in economics. Rather than focusing on the (econometric) theory of experiments, we will provide students with hands-on advice on how to solve concrete challenges related to planning, conducting, analyzing, and presenting the results of experimental field studies.

Syllabus: Field Experiments: Start to finish

Registration: Apply via Email to the instructor until July 1 2022.

n the global market. Topics covered are: Open and close strategies of useful information; obtaining, licensing and enforcing patents; copyrigth law basics and controversies; trade secrets protection and misapporation; data protection and use of big data; standardization; licensing standard essential patents to supply chains; pharmaaceutical patents; and sustainable IP strategies.

Syllabus: Innovation and Law

Registration: Plese send an email to: sekretariat.jura@tum.de

laboratory experiments. It will enable you to

• decide whether a laboratory experiment is appropriate to address some research question;
• find research questions in your area of interest that a laboratory experiment can address;
• develop an experimental design to address such a research question.

In addition, the course will offer you hands-on training on how to bring experiments to the laboratory. It will cover common practical issues, such as which software to use, how to recruit participants, or how to conduct an experiment.

The course will be most beneficial for you if you plan to run your own experiment soon. It will be particularly helpful for you if you consider using experimenTUM, TUM’s laboratory for experimental research in economics.

Syllabus: Introduction to Experimental Economics

Registration:

Write to Andreas Ostermaier to sign up (ostermaier@sam.sdu.dk). Please state your primary research area and method. Mention also what motivates you to sign up for this course and whether you are planning to run an experiment.

If you have a research question or idea for an experiment that you would like to see as an assignment, remember to include a very brief proposal in your application. If you have any introductory readings, feel free to suggest these, too.

Please make sure you can attend the full course before signing up. From a pedagogical angle and out of fairness toward the other participants, you should not miss any part of the course for any reason, including the supervision of student exams.

applications in health economics. It aims to provide students with a sound understanding of the methods discussed, such that they are able to do research using modern econometric techniques, as well as critically assess existing studies.

In particular, the course will likely cover the following topics:

• Regression Shrinkage Methods (Ridge, Lasso, Elastic Net)
• Decision Trees, Random/Causal Forests
• Advanced Identification Strategies (e.g., Double Machine Learning)
• Introduction to Neural Networks

In the first meeting, we will discuss the econometric methods and/or machine learning techniques (including some applications to illustrate them). Students will then apply these methods and will replicate recent research papers in health economics. I will assign a (replication) project to each student, which (s)he will present at the second meeting. The presentation (roughly 15 minutes) together with a short report that summarizes the assigned paper (roughly 5 pages w/o figures, tables and references) will be relevant for the grading.

Syllabus: Machine Learning in Health Economics

Registration: Please send an e-mail to Prof. Farbmacher

in business (i.e., submission procedures and requirements, editorial decisions, hierarchies), (2) provides guidance regarding how to write constructive reviews (i.e., generic template for a review, review expectancies for different outlets and different publication stages, serving as a discussant), (3) helps students analyzing reviews they received for their papers (i.e., identifying and aggregating received comments etc.), (4) to respond to reviews (i.e., writing a response note). The course provides practical examples from real peer review processes. The course starts with an introductory presentation by the instructor. Then, participants write peer reviews for the papers of other participants. After receiving reviews for their papers, students respond to the received reviews by writing response letters. Students will present their responses to the class.

Syllabus: Mastering the Review Process: Writing of and Responding to Peer-Reviews

Registration: Please send an email to Office.cdt@wi.tum.de with a short registration request that includes your name and the title of your paper. Registration deadline: 18.04.2022.

Formally, each participant requires a written paper draft. This paper will be reviewed by one other course participant. The paper should be a working paper and not be published.

FAQ: Which paper should I submit for the course?

• You should be interested in developing your paper. This is given if your paper is part of your dissertation, or if you intend to publish it in a scientific journal or in the proceedings of a conference.
• All types of papers are welcome—including literature reviews, theoretical papers, empirical papers.
• It is not necessary that your paper is fully completed. Nevertheless, it must be at least 8,000 words long. Empirical papers must at least report some (early) findings.
• There are no formatting requirements for the working paper.
• It is not possible to submit your paper after the first course day. This is because your paper will be distributed on the first course day for peer-review.

The course is limited to 15 participants (first come, first served). The course will be offered as part of the International Doctoral Network in Information Systems – IDIS.

scuss research on social networks and examine how it informs our understanding of organizations – informing a variety of topics such as strategy, innovation, or entrepreneurship.

The goal of the class is to understand the theory as well as the methods underlying research on social networks.

Syllabus: Networks and Organizations

Registration: Self-registration via Moodle until June 13, 2022. The number of participants is not limited.

strategic management research. During an in-class week in June, the focus will be on theoretical foundations of strategy. Moreover, workshops related to developing ideas and navigating the publication process will be provided.

Syllabus: Seminar on Strategic Management

Registration: self-registration in Moodle (https://www.moodle.tum.de/course/view.php?id=77171)

Maximum number of participants: 15

esearch in strategic management research. During the online week in July, particular attention will be devoted to empirical research. As this course builds on the content of the PhD Seminar on Strategic Management (I): “Theoretical Foundations of Strategy” which is held in presence in the week from June 6 to June 10, 2022, only students who attended this first course should take part in the second course “Empirical Research in Strategic Management”.

Syllabus: Seminar on Strategic Management

Registration: self-registration in Moodle (https://www.moodle.tum.de/course/view.php?id=77170)

Maximum number of participants: 15

s. Albeit operating in a mainly quantitative field, agricultural and applied economists have found themselves using qualitative research approaches, especially in dealing with wicked problems, such as sustainability, and small numbers of cases, such as in agribusiness contexts or institutional economics issues. Often perceived as exploratory research, qualitative approaches offer much more than initial data for framing a quantitative project when used in a rigorous and skilled manner. This course provides an introduction to qualitative research paradigm(s), qualitative research methods (e.g., in-depth interviews, (participant) observation, focus group discussions, and action research), issues in qualitative research (e.g., the researcher as the research instrument, reflexivity), qualitative data analysis, and the development of theory based on qualitative (and quantitative) data.

The seminar is limited to 5 participants.

Syllabus: Qualitative Research and Developing Grounded Theory in Social Sciences

Registration: Registration via the Doctoral Certificate Program in Agricultural Economics. Please register and apply via the program. No costs for participation in the program apply.

What this course is
It is a readings course in which we critically discuss recent working papers or published papers in empirical financial and sustainability accounting.

What this course is not
This course is not an introduction to accounting and/or econometrics. It is not a lecture but an interactive class with controversial discussions.

Syllabus: Readings In Empirical Accounting Research

Registration: Please write an e-mail to benedikt.downar@tum.de by April 29nd, 2022 at the latest.

sight into the fundamental aspects of private equity investing, the perspective of fund managers and investors, those who transact with such funds, and those who regulate the fund industry. The course will provide a unique South African perspective, especially now that South Africa has adopted a Twin Peaks Regulatory Framework, like Australia and the United Kingdom. The course will start with an introduction to private equity and specifically third-party private equity funds, which represents the dominant organisational form. In addition, the course will discuss private equity in relation to finance, legal practice, tax, types of private equity, fund structuring, latest trends, as well as the key principles of fiduciary law related thereto.

Syllabus: The Fundamentals of Private Equity Funds and Investing

Registration: Plese send an email to: sekretariat.jura@tum.de

t decisionmaking, including predictive analytics and prescriptive analytics. There are many innovative methods in analytics. In this course, the students will study some advanced models by reading recent articles in leading journals.

Every Thursday morning. Dates could be coordinated with participants. If possible, the course will be held in person; otherwise, via Zoom.

workload: 6 ECTS

Syllabus: Advanced Analytics

Registration: self registration in moodle (Passphrase “DocProg”)

efore, renowned researchers from various international universities will present their latest research in asset pricing, corporate finance, and financial intermediation. Extensive discussion in class is encouraged. Thereby, students will learn to know and discuss critically current topics in finance. They will also learn more about state-of-the-art research methodologies.

The target audience is Ph.D. students and post-docs in finance. A requisite for participation is a specialization in finance and/or accounting.

Syllabus: Advanced Topics In Finance

Registration: Please send an email to matthias.hanauer[at]tum.de by October 15, 2021. In your email, please state your department and specify the topic and state of your Ph.D. thesis or research area (post-docs). Strict preference will be given to individuals with a specialization in finance and/or accounting.

s meaningfully in management and organisational research. We will specifically focus on non-invasive brain stimulation, electroencephalogram, and functional Magnetic Resonance Imaging. Graduate students will be enabled to understand these methods, successfully read respective papers and their method section, and to assess the potential as well as the pitfalls of neuroscientific methods in their fields of research.

Syllabus: Basic Neuroscience For Organisational Research And Economics

Registration: By email to franziska.emmerling@tum.de

requirement of 22.5 full-time attendance hours. The seminar provides an introduction to qualitative methods of empirical research. For this purpose, the collection and analysis of qualitative empirical data using dif-ferent methods and tools is discussed on the basis of current pa-pers and the advantages and disadvantages are worked out. The focus of the seminar is the development of a procedure to collect and subsequently analyze qualitative data. This is done in the context of group work. The aim of the seminar is to enable the participants to use qualitative methods of empirical social re-search in their research environment in order to conduct empiri-cal surveys.

Syllabus: Collection And Analysis Of Qualitative Empirical Data

Registration: All interested doctoral students must register by e-mail (e-mail: wisekretariate@wi.tum.de) at least one week before the start of the event.

essentials quantitative methods. We will not focus on the econometrics, but aim at developing the students’ understanding of what the methods are all about and how they work in practice.

Syllabus: Applied Econometrics

Registration: Apply via Email to the instructor until February 28th 2022.

ims to provide students with a sound understanding of the methods discussed, such that they are able to do research using modern econometric techniques, as well as critically assess existing studies.

In particular, the course will likely cover the following topics:
• Regression Shrinkage Methods (Ridge, Lasso, Elastic Net)
• Advanced Identification Strategies (e.g., Double Machine Learning)
• Controlling the False Discovery Rate via Knockoffs
• Placebo/Randomization Inference in Economics
• Clustered Standard Errors in Regressions

Syllabus: Econometrics III: Advanced Econometrics and Machine Learning (only PhD) (formerly, Topics in Applied Econometrics)

Registration: tbd

phic change. A special focus will be given to the analysis of: 1) the consequences of aging for the sustainability of the social security systems; 2) the interactions between economic decisions and health outcomes and 3) the consequences of aging on labor, capital and goods markets.

Solid knowledge of quantitative empirical research methods is essential. Successful prior completion of “Applied Econometrics” (Prof. Hottenrott) or comparable courses is required. Successful completion of “Advanced Econometrics: Causal Inference” (Prof. Henkel) or comparable courses is strongly recommended.

Syllabus: Economics of Aging

Registration: By e-mail to kneip@mea.mpisoc.mpg.de until September 27, 2021

creasing recognition that a fundamental transformation is needed to tackle major environmental and social problems. Entrepreneurship has the potential to play a key role in the pursuit of sustainable development. In this seminar, we will provide an overview of research on entrepreneurship for sustainable development, discuss ongoing conversations and ample opportunities for future research in this dynamic, and vibrant field.

Syllabus: Entrepreneurship for Sustainable Development

Registration: The seminar is mainly targeted at doctoral students from the TUM School of Management (including Munich, Garching, Weihenstephan, Straubing and Heilbronn) with a special focus on entrepreneurship. Doctoral students from other TUM schools interested in entrepreneurship for sustainable development are also welcome. Due to the interactive nature (and safety regulations relating COVID 19), the seminar is limited to 15 participants. If you are interested in the seminar, send a short letter of motivation and CV as one pdf file to Prof. Dr. Frank-Martin Belz (email: Frank.Belz@tum.de) until September 30, 2021.

e areas of organizational theory and strategy. Entrepreneurship is defined as the creation and growth of business ventures, either as new organizations or inside existing ones, and as transformation of existing organizations. This course covers fundamental readings and current research with an emphasis on business venture creation, including topics in industry emergence, industry evolution, supply of entrepreneurs, opportunity recognition/development, resource mobilization and new perspectives in understanding emergence of opportunities, organizations, and markets.

Syllabus: Entrepreneurship Research with OT Lens

Registration: The registration method will be through application letter. If anyone is interested in attending the seminar, please send a cover letter and CV to my email (amy.zhaoding@tum.de) until October 1.

The course …(1) equips participants with tools and information how to preprocess textual data
(2) provides an overview of the state-of-the-art methods in Natural Language Processing (e.g., pre-trained language models),
(3) offers guidance regarding the application of these methods to various textual content, which enables the participants to use these techniques within their own research projects.
(4) gives access to an interdisciplinary workshop where international guest speakers present their latest research projects

The course provides two lectures, three interactive sessions, a two-day workshop with international guest speakers as well as a presentation day, during which participants are expected to present their textual analysis related research proposals. Participation in the pre-workshop day, active participation during the workshop (presentation of own research project or discussion of research presentation), and presentation of the own research proposal are necessary to pass this course.

The course starts on 17th Novermber 2021, one day prior to a two-day interdisciplinary workshop on NLP at the TUM Campus in Heilbronn. At the pre-workshop day there will be two lectures, followed by three interactive sessions in which participants will be able to apply state-of-the art NLP methods to different forms of text. The two-day workshop contains multiple presentations of recent research projects in Finance and Management that leverage on textual analysis.

Each participant should actively participate in the workshop by either presenting his/her own textual related project at the workshop or by discussing a paper that is presented at the workshop.
In addition, each participant is expected to draft a textual analysis-related research project which has to be presented in a separate virtual meeting about two weeks after the workshop. The allowed presentation time is 20 minutes, followed by a ten minutes Q&A.

It is recommended to participate in this course if you are currently conducting or plan to conduct textual analysis within one of your research projects.

Syllabus: Levering On The Latest Advances In Natural Language Processing

Registration link will be shared with you in this Moodle course (Please enrol in it) on September 1 and the 12 available spots will be served on a first-come, first-served basis

als in business (i.e., submission procedures and requirements, editorial decisions, hierarchies),

(2) offers guidance regarding how to write constructive reviews (i.e., generic template for a review, review expectancies for different outlets and different publication stages, serving as a discussant),

(3) equips participants with tools and information how to analyze reviews which they received on their papers (i.e., identifying and aggregating received comments etc.),

(4) prepares participants with tools and information on how to respond to reviews (i.e., writing a response note).

The course provides practical examples from real peer review processes.

Formally, each participant requires a written paper draft. This paper will be reviewed by one other course participant. The paper should be a working paper and not be published.

The course is limited to 15 participants (first come, first served).

Syllabus: Mastering the Review Process: Writing of and Responding to Peer-Reviews

Registration: Please send an email to Office.cdt@wi.tum.de with a short registration request that includes your name and the title of your paper. Registration deadline: 20.10.2021.

e, we will focus on three highly relevant methods that have been used in a series of leading and thought-provoking studies. In particular, we will discuss applications of (1) game theory, (2) econometrics, and (3) experiments in the area of supply chain management. While we will introduce each of these methods, we will also discuss state-of-the-art research that applies at least one of these methods.

This seminar is open for all Ph.D. students at TUM School of Management who are interested in learning more about state-of-the-art research methods in supply chain management.

There are no formal prerequisites for this seminar.

Starting on November 24, each week on Wednesday (10:30-12:45), there will be a 135-minutes session. The course ends after 14 sessions.

Syllabus: Ph.D. Seminar on Advanced Research in Supply Chain Management 

Registration: Please send an email to Office.cdt@wi.tum.de with a short registration request

at have been most influential for management research and practice. It is very interactive in nature and requires active participation in presentations and discussions.

What this course is not: This course is not focused on one particular psychological theory but discusses various theories that have implications for management research and practice.

Syllabus: Psychological Theories

Registration: By email to mojtaba.salem@tum.de (Mojtaba Salem) until December 7, 2021. Participants will be admitted on a first come, first served basis.

ding management and related fields. Qualitative papers are published in leading management journals (e.g. Academy of Management Journal, Organisation Studies, Journal of Business Venturing). In this seminar you will learn about the nature of qualitative research, different approaches, and research designs. Furthermore, you will become familiar with the facets and nuances of qualitative data collection and analysis.

Syllabus: Qualitative Research

Registration: Since the seminar is very interactive in nature, it is limited to 15 participants. If you are interested in the seminar, send a short letter of motivation and CV to Prof. Dr. Frank-Martin Belz (email: Frank.Belz@tum.de) until October 6, 2021.

Course aims – What this course is
A structured introduction to learning methodological approaches for successful research in stochastic models in logistics and supply chain management at the beginning of the PhD program. It is expected that all participants will prepare one core topic and present this to the other participants.

Syllabus: Research on Stochastic Modeling and Optimization

Registration: Apply until December 10 by sending an email to: stefan.minner@tum.de

tal impacts as well as considering them in management decisions requires advanced multi-method approaches. Participants will therefore be qualified to combine methodologies from different domains to create effective decision support. Such multi-method based approaches are at the core of modern operations research reaching out to neighboring disciplines.

We investigate how sustainability assessments can be obtained and integrated in modelling approaches for operations and supply chain management. The course includes an introduction to sustainability and to Life Cycle Assessment (LCA), which is one of the most commonly used quantitative tools for the systematic evaluation of environmental aspects. We will also introduce multi-criteria decision making (MCDM) approaches such as multi-objective optimization (MOO) and show how both LCA and MCDM can be combined to provide insights.

The state-of-the-art will be summarized drawing on recent textbooks on sustainable operations and MCDM, review papers, and research papers. However, a large part of the class will be devoted to the solution of a new case recently developed by the lecturers (Verena Depping, Martin Grunow, Bryndis Stefansdottir: How to Quantitatively Assess the Sustainability of Supply Chains: Learning from the Example of Novel Dairy Products, The Case Center, Case – No. 619-0051-1, 2019, https://casecent.re/p/166493)

Syllabus: Sustainable Operations Management

Registration: Please register by sending an email to Martin Grunow (martin.grunow@tum.de) by January 10, 2022 (with CV and half-page description of PhD project).

the mechanisms behind a phenomenon is indispensable if one is to give advice to managers or policy makers, or to build theory. Simple regressions on cross-sectional data show associations, but not causality, so we need more sophisticated methods. This course shall convey econometric methods that allow causal inference, or at least to come closer to uncovering causal effects. The focus will be on applicable knowledge, less on details of the theory.

Topics comprise various methods to address selection issues and come close to causality:
1. Randomized controlled trials and natural experiments
2. Matching
3. Regression discontinuity design
4. Instrumental variables
5. Panel data
6. Differences-in-Differences
7. Heckman selection models

Prerequisites: Participants need to have econometrics knowledge corresponding to an introductory Ph.D. level course in econometrics. Ideally, they should have participated in such a course, e.g. in “Applied Econometrics: An Introduction” by Professor Hottenrott. They should also have basic knowledge of STATA or R. Free self-study material for STATA and R can be found at https://sites.google.com/site/ econometricsacademy, and for R specifically here (introduction) and here (regressions).

Syllabus: Advanced Econometrics: Causal Inference

Registration: Until April 9, 2021, via Moodle.

usses on understanding human behavior, from a variety of backgrounds (economics, management, psychology, etc.). Previous knowledge of economics, game theory and experimental methods will be helpful but not indispensable. Ideally you have already attended the Introduction in Experimental Economics course.

Syllabus: Behavioral and Experimental Economics

Registration: Email to m.kurschilgen@tum.de (before June 1, 2021). Please write BehavExpEcon as email subject. Applicants will be accepted on a FCFS basis.

ses, and insight into a selected number of contemporary topics. The seminar is targeted at doctoral students, who intend to strengthen their theoretical knowledge in topics related to entrepreneurship and family enterprise.

Syllabus: Contemporary Topics in Entrepreneurship and Family Enterprise Research

Registration: Since the seminar is very interactive in nature, it is limited to 15 participants. If you are interested in the seminar, send a short letter of motivation and CV until June 10, 2021 to office.gcfe@wi.tum.de

phic change. A special focus will be given to the analysis of: 1) the consequences of aging for the sustainability of the social security systems; 2) the interactions between economic decisions and health outcomes and 3) the consequences of aging on labor, capital and goods markets.

Solid knowledge of quantitative empirical research methods is essential. Successful prior completion of “Applied Econometrics” (Prof. Hottenrott) or comparable courses is required. Successful completion of “Advanced Econometrics: Causal Inference” (Prof. Henkel) or comparable courses is strongly recommended.

Syllabus: Economics of Aging

Registration by e-mail to kneip@mea.mpisoc.mpg.de until March 29, 2021

its interplay with monetary policy and recent crisis episodes. Students will obtain a thorough knowledge of the literature in empirical banking and learn to work with publicly available regulatory data (e.g., the disclosures by the European Banking Authority).

Topics covered will include:

• New evidence on banks’ business models: The deposit channel of monetary policy
• The European Sovereign debt crisis and monetary policy responses
• Household leverage and its effect on economic growth
• New evidence on the role of credit supply and household demand shocks for economic growth
• The role of banks in the Covid-19 crisis

Syllabus: tbd

Registration: Please send an e-mail to lisa.knauer@tum.de. The registration deadline is June 23, 2021. Applicants will be accepted on a FCFS basis.

lied more or less meaningfully in management and organisational research. Graduate students will be enabled to understand eye tracking, successfully read respective papers and their method section, and to assess the potential as well as the pitfalls of eye tracking in their fields of research. Furthermore, graduate students will be familiarised with the complete research cycle of eye tracking studies (designing/developing, conducting and analysing eye tracking studies).

Syllabus: Eye Tracking for Organisational Research and Economics

Registration: Please send an e-mail to hannah.kunde@tum.de before August 2nd 2021 – including a brief description of your prior experience with eye tracking and your TUM-ID.

und theory and the process of theorizing, such as the design of the research question, its embedding in an academic conversation, and the dos and don’ts of making theoretical contributions. On the other hand, we focus on the execution of the research question, including research methods and research design. Also, questions around the PhD process and academic careers will be tackled together. By immersing participants in such a “boot-camp” for entrepreneurship research, the intensive experience condensed in a week will have long term pay-offs when it comes to pre-empting many questions and uncertainties that normally arise during a thesis-writing process. The course is usually worth 5 ECTS, but can be stretched to 6 ECTS by individual assignments.

Syllabus: Introduction to Entrepreneurship Research

Registration: All eligible and interested doctoral candidates should send a one-page motivation letter (be sure to state your current stage and planned progress in your PhD) and current CV to Nicola Breugst, before April 26, 2021 (nicola.breugst@tum.de).

laboratory experiments. It will enable you to

• decide whether a laboratory experiment is appropriate to address some research question;
• find research questions in your area of interest that a laboratory experiment can address;
• develop an experimental design to address such a research question.

In addition, the course will offer you hands-on training on how to bring experiments to the laboratory. It will cover common practical issues, such as which software to use, how to recruit participants, or how to conduct an experiment.

The course will be most beneficial for you if you plan to run your own experiment soon. It will be particularly helpful for you if you consider using experimenTUM, TUM’s laboratory for experimental research in economics.

Syllabus: Introduction to Experimental Economics

Registration:

Write to Andreas Ostermaier no later than July 23, 2021 to sign up (ostermaier@sam.sdu.dk). Please state your primary research area and method. Mention also what motivates you to sign up for this course and whether you are planning to run an experiment.

If you have a research question or idea for an experiment that you would like to see as an assignment, remember to include a very brief proposal in your application. If you have any introductory readings, feel free to suggest these, too.

Please make sure you can attend the full course before signing up. From a pedagogical angle and out of fairness toward the other participants, you should not miss any part of the course for any reason, including the supervision of student exams.

in business (i.e., submission procedures and requirements, editorial decisions, hierarchies), (2) provides guidance regarding how to write constructive reviews (i.e., generic template for a review, review expectancies for different outlets and different publication stages, serving as a discussant), (3) helps students analyzing reviews they received for their papers (i.e., identifying and aggregating received comments etc.), (4) to respond to reviews (i.e., writing a response note). The course provides practical examples from real peer review processes. The course starts with an introductory presentation by the instructor. Then, participants write peer reviews for the papers of other participants. After receiving reviews for their papers, students respond to the received reviews by writing response letters. Students will present their responses to the class.

Syllabus: Mastering the Review Process: Writing of and Responding to Peer-Reviews

Registration: Please send an email to Office.cdt@wi.tum.de with a short registration request that includes your name and the title of your paper. Registration deadline: 15.04.2021.

ons related to business research. After passing the course, the participants are aware of some of the archetypes of empirical approaches to measure business phenomena. The course demonstrates how seminal papers induced next-generation research approaches and makes the participants familiar with an exemplary set of well-established state-of-the-art measurement approaches.

Syllabus: Measurement of Business Phenomena

Registration: There is no limitation of the number of participants. For a registration, please send an informal email to the course instructor (michael.stich@tum.de) which includes your

• family and given name,
• position and postal address at the TUM, and
• a short statement about your primary research interests (one or two informal phrases).

The registration deadline of the course is July 31, 2021.

scuss research on social networks and examine how it informs our understanding of organizations – informing a variety of topics such as strategy, innovation, or entrepreneurship.

The goal of the class is to understand the theory as well as the methods underlying research on social networks.

Syllabus: Preliminary syllabus

Registration: via Moodle untill June 28, 2021. The number of participants is not limited.

t. In this course, the students will study the advanced models in dynamic programming systematically. At the end of this course, students will be able to understand the mathematical derivation of dynamic programming, model the sequential decision-making problems, and find the optimal solution proficiently.

Syllabus: Ph.D. Seminar on Advanced Dynamic Programming

Registration: via Moodle

luential for management research and practice. At the end of the course participants will be familiar with the key concepts, respective empirical findings, and their application to management practice. To this end, each participant will be asked to present in class recent research pertaining to the theory s/he chooses, and to conduct an interactive exercise to facilitate a more comprehensive understanding of the theory’s relevance for management research and practice. During the kick-off session, participants wil receive an introduction to psychological research, and will be asked to choose one of the theories.

Syllabus: Psychological Theories

Registration: Please register via email (e.derrigo@tum.de) until April 30, 2021. Participants will be admitted on a first come, first served basis.

ssible vehicles in that sphere, the corporate governance aspects involved in the private equity market, the financial regulation of private equity and potential tax issues, and advantages and disadvantages of the various forms of private equity available, corporate as well as non-corporate.

These topics will be discussed generally and with a special focus on South Africa. South Africa is the second largest economy in Africa. Its economy is diversified and the most industrialized in Africa. It also is the only African G20 member. The economy is based on a large mining sector, but agriculture, financial services, manufacturing and a growing Fintech sector also form important components of the economy. In total, South Africa has one of the few upper middle class economies on the African continent according to the World Bank.

From an investment perspective, South Africa is regarded as an ideal emerging market destination. Arguably, investors seeking to invest in an emerging market consider various factors before deciding to invest. This holds true for every economy, but even more so in an emerging market economy. Relevant factors would be anything from efficient infrastructure, a predictable and independent judiciary, a skilled workforce, and a state of the art financial industry. Together with his doctoral students, Professor Stevens will analyze financial markets in South Africa and their regulatory context. The main outcome of his course will be the analysis, whether South Africa is a safe destination from a financial markets and regulatory perspective. The course will also provide an overview of how South Africa’s Financial Markets Act deals with insider trading.

This course is equivalent to 4 ECTS and 22.5 hours class time.

Syllabus: tbd

Registration: This course is for PhD students only! Please send an email to: sekretariat.jura@tum.de untill 01.05.2021. Max. 25 participants. First come first served.