Doctoral Course Program

Find all doctoral courses of the Graduate Center of TUM School of Management as well as further information on doctoral course requirements in general and the process of recognizing courses from other institutions here.

  • All doctoral candidates who entered the list of doctoral candidates after January 1, 2014, have to successfully complete 10 SWS (weekly semester hours) of doctoral courses in methods and/or theory of their field. Courses offered by the Graduate Center of TUM School of Management are on doctoral level, comprise at least 2 SWS (21 hours class time) and minimum 3 ECTS workload per course. As a result, all doctoral candidates have to complete at least 5 courses.
    The recognition of external courses that do not differ significantly from those of the Graduate Center of Management with regard to the level of competence and workload is possible upon application to the Graduate Center. If you plan to take an external course, please make sure to contact us well in advance.
  • The registration for our doctoral courses is binding. Please deregister if you are unable to participate after all.
  • If not indicated differently, all doctoral courses are taught in English.
  • After successful completion of a course, please enter the course and all necessary details in DocGS.
  • If you have any suggestions for the course program of the Graduate Center of the TUM School of Management, we would be pleased to receive an email from you.

Winter term 2024/2025

  • 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 Prof. Dr. Hanna Hottenrott and “Econometrics II: Causal Inference” by Prof. Dr. Joachim Henkel.


    The course covers a selection of state-of-the-art methods in econometrics. 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 cover the following topics:

    • Generalized Methods of Moments (GMM) Estimation
    • Potential Outcomes and Treatment Effects
    • Panel Data Estimation
    • Regression Shrinkage Methods (Ridge, Lasso, Elastic Net)
    • Advanced Identification Strategies (e.g. Double Machine Learning and Causal Forests)

    In the morning, we will briefly discuss the econometric methods (including some applications to illustrate them). Students will then apply these methods and will replicate recent research papers in economics.
    I will also assign a (replication) project to each student. You can also come up with an own application and/or dataset you are interested in.

     

    Syllabus: Econometrics III: Advanced Econometrics & Statistical Learning (only PhD)

     

    Registration: Until end of February, via email.

     

    Lecturer: Prof. Dr. Helmut Farbmacher (TUM)

     

    Course dates: March 24-28, 2025 (10am to 5pm, room 2544)

     

    Location: Campus Munich

  • Knowledge Objectives
    • Doctoral candidates will have a good understanding of academic writing and the structure of the different chapters in a scientific paper.
    • Doctoral candidates will know efficient publication strategies
     

    Skills Objectives
    • Doctoral candidates will have improved their skills in research as well as in writing their dissertations or papers.
    • Doctoral candidates will have a solid draft of one of their dissertation paper.
    • Doctoral candidates will have utilized the processes of revision by positive, constructive peer reviews of the documents by fellow doctoral candidates on their writing and by revising their documents.

    Learning Objectives
    • Doctoral candidates will have learned about how to start and finish writing a scientific paper in the context of writing a dissertation.
    • Doctoral candidates will have identified standard elements of research papers and used this knowledge to work on their dissertations or papers.

     

    Syllabus: Efficient Academic Writing for Empirical Research

     

    Registration: Please apply until 30th September 2024 to Theresa Treffers, theresa.treffers@tum.de, via email containing:
    • Your CV with contact information and chair of your dissertation
    • Dissertation topic (1 sentence)
    • Problem statement (3 sentences)
    • Data description (3 sentences)
    • Target journal (possibly call for papers) and/or conference with deadline

     

    Lecturer: Theresa Treffers

     

    Course dates: 04.10.2024, 24.10.2024, 29.10.2024, 05.11.2024, 12.11.2024, 19.11.2024, 26.11.2024, 03.12.2024, 10.12.2024, 17.12.2024, 07.01.2025, 14.01.2025 and 28.01.2025

     

    Location: Campus Munich and virtual

  • This course aims to provide doctoral canidates at the School of Management with a practicalintroduction to 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: Please send an email to Prof. Philipp Lergetporer (philipp.lergetporer@tum.de) to register for this course.

     

    Lecturer: Prof. Philipp Lergetporer, PhD

     

    Course dates: Each day (07.10.2024 - 11.10.2024), the lecture starts at 9 am and ends at 4 pm. There will be a lunch break and coffee breaks.

     

    Location: The course will mainly take place at TUM Campus Munich. 

    2566 (0505.02.566)

    07.10.2024 - 9 am - 5 pm
    08.10.2024 - 9 am - 5 pm
    09.10.2024 - 2 pm - 5 pm

    Z538 (0505.Z1.538Z)

    10.10.2024 - 1:30 pm - 5 pm
    11.10.2024 - 1:30 pm - 5 pm

  • The course is aimed at doctoral students. The course is designed to equip doctoral students with foundational knowledge and practical insights into the role of generative artificial intelligence (AI) within social science research, with a particular focus on quantitative marketing research. Based on the current literature body, course participants evaluate and discuss current applications related to generative AI in marketing.

     

    Syllabus: Generative AI for Social Science Research

     

    Registration: Please send an email to contact.dm@mgt.tum.de to register for this course.

     

    Lecturer: Prof. Dr. Jochen Hartmann (TUM)

     

    Course dates: 26.09.2024, 14.11.2024, 12.12.2024, 24.01.2025 and 25.02.2025

     

    Location: Online (MS Teams)

  • The aim of this course is to provide participants with a broad overview of both content and process issues central to entrepreneurship research. The course is interactive in nature and demands participants’ preparation and active engagement during and between class sessions.

     

    Syllabus: Introduction to Entrepreneurship Research

     

    Registration: Please send an email to Prof. Siddharth Vedula (siddharth.vedula@tum.de) before 15 August 2024 to register for this course.

     

    Lecturer: Prof. Siddharth Vedula

     

    Course dates: 16.09.2024 - 25.09.2024, the seminar starts at 9 am and ends at 6 pm. 

     

    Location: The course will take place in the Entrepreneurship Research Institute building in Garching (room TBD).

  • This course aims to provide scholars with developmental feedback on their current research papers in
    the field of management. It aims to improve management research quality by providing quality feedback
    and bringing new scholars into the field.

     

    Syllabus: Paper and Proposal Development in Strategic Management: Meet the Editors at HEC Paris

     

    Registration: Please send an email to Prof. Joachim Henkel (henkel@wi.tum.de) or Prof. Chengguang Li (chengguang.li@tum.de) by 7 October 2024 to register for this course. 

     

    Lecturer: Prof. Joachim Henkel and Prof. Chengguang Li

     

    Course dates: 14 October - 12 December 2004

     

    Location: Campus Munich/Campus Heilbronn and/or online/hybrid; HEC Paris

  • This course aims to provide scholars with developmental feedback on their current research papers in the field of management. It aims to improve management research quality by providing quality feedback and bringing new scholars into the field.

     

    Syllabus: Readings Empirical Accounting Research

     

    Registration: Please write an e-mail to carolin.gahr@tum.de by October 9th, 2024 at the latest.

     

    Lecturer: Prof. Dr. Jürgen Ernstberger

     

    Course dates: The kick-off meeting is on October 15th, 2024 at 4 p.m.

     

    Location: Campus Munich/hybrid

  • The goal of this course is to present and discuss current state-of-the-art research in finance. Therefore, renowned researchers from various European universities will present their latest research in the fields of 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.

     

    Syllabus: Topics in Finance Research

     

    Registration: Please send an email to aida.cehajic@tum.de by October 10, 2024. In your email, please state your department and specify the topic and state of your dissertation or research area (post-docs).

     

    Lecturer: Dr. Aida Cehajic

     

    Course dates: See https://www.fa.mgt.tum.de/fm/research-seminar/

     

    Location: Campus Munich

Doctoral Summer School 2024 at TUM Campus Heilbronn

TUM School of Management invites you to the second Doctoral Summer School at TUM Campus Heilbronn from September 9-20, 2024.

 

Week 1 (Sept 9 - Sept 13, 2024)

Course 1Prof. Dr. Christoph Ann: Technology protection for Doctoral candidates 

Course 2: Prof. Dr. Robert Graf: Conditionality in probability

 

Week 2 (Sept 16 - Sept 20, 2024)

Course 3: Prof. Dr. Gudrun P. Kiesmüller: Markov Decision Processes

Course 4: Prof. Dr. Johannes Resin: Probabilistic Forecasting: What Makes a Good Forecast?

 

Registration period will start on June 3 at 12 noon and will end on June 30 end of day. Please check our event website for registration. Places will be distributed on a first come - first-served basis. Registration is only possible for doctoral candidates of TUM School of Management.

Summer term 2024

  • Participants will be assessed based on their seminar presentation (60%), homework assignments (20%), and oral contributions to the course (20%).

    • Seminar presentations will be held by groups of two. Each group will present one method of addressing the problem of causal inference (e.g., RDD). The presentation of 120 min to 150 min shall introduce and explain the respective method as well as applications. Presenters will suggest an article in which this method is applied. The group will bring a dataset with which participants will apply the respective method during the course. The lecturer will meet with each group beforehand to aid in the preparation.
    • Homework assignment. For some of the methods that we discuss in the course participants will do a homework assignment that consists of applying the method to a dataset, presenting the results, and providing an interpretation (in writing).
    • Oral contributions. It is expected that participants prepare the readings for each session and are able to reflect on them. In addition, they shall actively take part in the discussion of the seminar presentations.

    The course is pass/fail, not graded. In order to pass the course, participants must take part in all classes. In case of excused absence due to illness they need to hand in a written assignment about the content of the class they have missed.

     

    SyllabusEconometrics II: Causal Inference

     

    Registration: Until April 17, 2024, via Moodle.

     

    Lecturer: Prof. Dr. Joachim Henkel (TUM)

     

    Course dates:  Kick-off Friday April 19, 2024, 2:00 pm – 4:30 pm in person (room will be announced). The course will be taught as a series of seven half-day seminars in June and July, either in the morning or on the afternoon. Dates will be coordinated with participants. The course is planned to be held in person.

     

    Location: Campus Munich - The course is planned to be held in person (room will be announced).

  • The course aims to highlight three(3) key areas of private equity investing, namely:

    1. The formation and structure of private equity funds and the key characteristics related thereto within the South African regulatory environment;
    2. The importance of corporate governance and fiduciary law as it pertains to the private equity business model; and
    3. Current trends and policy considerations that impacts private equity industry.

    At the end of the module students should be able to understand the South African Financial Regulation environment and also where private equity fits into this system. Students should also be able to understand which legal forms are ideal to structure funds as well as the duties on fund managers in South Africa.

     

    SyllabusFinancial Market Regulation in South Africa as Gateway to Investment in Africa: The Fundameltals of Private Equity Funds and Investing in South Africa

     

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

     

    Lecturer: Prof. Richard Stevens, LL.M. (University of Stellenbosch)

     

    Course dates: 

    - The course will commence on Tuesday 11 June 2024.
    - The course consists of a total of 24 hours of direct class interaction, which will be split over six (6) classes.
    - The dates of the six(6) classes will be:

    • Lecture 1: 11 June 2024 (9h00 – 13h00)
    • Lecture 2: 12 June 2024 (9h00 – 13h00)
    • Lecture 3: 13 June 2024 (9h00 – 13h00)
    • Lecture 4: 2 July 2024 (9h00 – 13h00)
    • Lecture 5: 3 July 2024 (9h00 – 13h00)
    • Lecture 6: 4 July 2024 (9h00 – 13h00)

     

    Location: Campus Munich (0503.01.355) - The course is planned to be held in person.

  • This course will give doctoral students a broad overview of the state-of-the-art technologies and methods (e.g., virtual reality, virtual humans, vocal transformation, AI) used in management research. At the end of this course, participants will be familiar with the different methods and tools available for conducting research. We will discuss the benefits of using technologies, and the potential technical difficulties and drawbacks that might be encountered along the way, and how to solve them.


    In this course, you will have the opportunity to not only to develop an understanding of existing methods, but also to develop and work on a concrete research project involving an innovative technology. To this end, students will be asked to develop a short research proposal and a final presentation showcasing their work on the project.

     

    SyllabusInnovative Technologies in Management Research

     

    Registration: By email to anely.bekbergenova@tum.de (Dr. Anely Bekbergenova) until April 1st. Participants will be admitted on a first come, first served basis.
    In your email please include (1) your doctoral research topics, (2) a potential research question you would like to explore using innovative technology.

     

    Lecturer: Dr. Anely Bekbergenova and Prof. Dr. Claudia Peus (TUM)

     

    Course dates:  

    Monday, 01.04.2024 – 23:59 – Registration deadline
    Wednesday, 10.04.2024 – 9:00 – 17:00 – Presentation by instructor
    Thursday, 10.04.2024 – 9:00 – 17:00 – Presentation by instructor & group/individual work
    Wednesday, 17.04.2024 – 9:00 – 17:00 - Presentation Day by participants & feedback
    Wednesday, 1.05.2024 – 23:59 – Research proposal deadline

     

    Location: Campus Munich - The course will be held in person at the TUM main campus in Munich (Arcisstr. 21, Building 0505, Room Z577)

  • This course is for researchers on the doctoral or post-doctoral levels who are beginners in economic 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.

     

    SyllabusIntroduction to Experimental Economics

     

    Registration: 

    Write to Andreas Ostermaier no later than July 19, 2024 to sign up (ostermaier@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.

     

    Lecturer: Dr. Andreas Ostermaier (University of Southern Denmark)

     

    Course dates: The seminar is scheduled to be held on July 22–24, 2024 in room 0505.03.539 (https://portal.mytum.de/displayRoomMap?3539@0505).

     

    Location: Campus Munich - The course is planned to be held in person.

  • The course is offered for doctoral candidates and post-docs at TUM, who conduct research in the field of business, economics, psychology, political science, sociology, or adjacent fields. Participants of other universities can be accepted for the course if capacity permits.


    Each participant requires a working paper for participation, which will be peer-reviewed by another course participant.

     

    SyllabusMastering the Review Process: Writing and Responding to Peer-Reviews

     

    Registration: Application deadline: April 3, 2024

    • Please send an e-mail to the above email address with a registration request that (1) includes your name, (2) the title of your paper (see Assessment), and (3) your TUM-eMail-Address.
    • No late enrollment: Registration after the deadline is not possible.

     

    Lecturer: Prof. Dr. Jens Förderer (TUM)

     

    Course dates: 

    03.04.2024, 23:59:59: Registration deadline
    10.04.2024, 09:00-16:00: Presentation by instructor
    23.05.2024, 09:00-16:30: Presentation day 1
    24.05.2024, 09:00-16:30: Presentation day 2

     

    Location: Course will be held online-only via Zoom. Login details will be distributed after registration.

  • This course gives doctoral candidates an introduction to the psychological theories and concepts that have been most influential 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.

     

    SyllabusPsychological Theories

     

    Registration: By email to regina.hagl@tum.de (Dr. Regina Hagl) until July 8, 2024. Participants will be admitted on a first come, first served basis.

     

    Lecturer: Prof. Dr. Claudia Peus and Dr. Regina Hagl (TUM)

     

    Course dates:  

    Tuesday, 9 July 2024, 9.00 am to 5.00 pm
    Tuesday, 23 July 2024, 9.00 am to 1 pm, online (Group Feedback)
    Thursday, 1 August 2024, 9.00 am to 5.00 pm (Presentation Day 1)
    Wednesday, 31 July 2024, 9.00 am to 5.00 pm (Presentation Day 2)

     

    Location: Campus Munich - Course will be held in person at the TUM main campus (Arcisstr. 21, Building 0505, Room Z577).

  • What this course is

    A structured introduction to learning methodological approaches for successful research in stochastic models and data-driven optimization in logistics and supply chain management at the beginning of the PhD program.  

     

    What this course is not

    A listen and repeat lecture.

     

    SyllabusResearch on Stochastic Modeling and Data-driven Optimization

     

    Registration: Apply until March 31, 2024 by sending an email to: stefan.minner@tum.de.

     

    Lecturer: Prof. Dr. Stefan Minner(TUM)

     

    Course dates:  

    Kickoff-Meeting on April 15, 2-4 pm in room 1577.

    Weekly sessions (April 15 - July 15) on Mondays, 2-4 pm in room 1577

     

    Location: Campus Munich - The course is planned to be held in person.

  • This course has three goals: (1) it will help doctoral candidates develop a better understanding of how managers make decisions; (2) it will provide them with conceptual tools to navigate their own professional careers; and (3) it will introduce them to a fascinating field of research in which much is left to be explored and discovered.

     

    SyllabusSmart Management

     

    Registration: By email to tomas.lejarraga@uib.eu until June 15, 2024. Participants will be admitted on a first come, first served basis.

     

    Lecturer: Prof. Dr. Tomás Lejarraga (Universitat de les Illes Balears)

     

    Course dates: The course will be held in person at the TUM main campus in Munich between June 18 to 20.

     

    Location: TUM main campus in Munich

  • This course will build upon the earlier course of “Theoretical Foundations in Strategy.” In this class, we will go deeper into the theories we covered and give particular attention to empirical design issues and the development and testing of hypotheses. We will begin by examining the implications of firm heterogeneity for empirical research as well as the implications of “fit” (e.g., between organizations and their environments, between organizational forms and attributes of transactions, etc.) for empirical testing. We will also focus on firm survival and exit, and in later sessions cover modeling choices suitable for testing the theories we have covered in the first course. As part of our sessions, we will consider some award-winning strategy dissertations so you can identify what makes for a good dissertation. We will also have a workshop on developing your own research ideas based on what we are learning in the course.

     

    SyllabusStrategic Management (II): Empirical Research in Strategic Management

     

    Registration: Please register for the course via self-registration in Moodle (https://www.moodle.tum.de/course/view.php?id=98016)

     

    Lecturer: Prof. Jeffrey J. Reuer, PhD (University of Colorado)

     

    Course dates: 

    Empirical Research in Strategic Management (week of July 1, 2024; Zoom Login details tba).
    1. Firm Heterogeneity and Fit (Monday, 13:00-16:30)
    2. Survival and Exit (Tuesday, 13:00-16:00 and 16:30-18:30)
    3. Transaction Cost Economics (Wednesday, 13:00-16:30 and 17:00-19:00)
    4. Information Economics (Thursday, 13:00-16:30)
    5. Implications of Strategic Decisions (Friday, 13:00-16:30)

     

    Location: Course will be held online-only via Zoom. Login details will be distributed after registration.

  • The course …
    (1) makes participants familiar with the problem of collecting massive data from Internet 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 methodological considerations.

     

    SyllabusWeb Scraping for Scientists: An Introduction with Python

     

    Registration: Registration deadline: 03.04.2024

    Please send an email to the above stated address with a registration request that includes your name (see below) and your TUM eMail-address. Please do not sign up using your private email address. No registration is possible after the deadline.

     

    Lecturer: Prof. Dr. Jens Förderer (TUM)

     

    Course dates: 

    03.04.2024, 23:59:59: Registration Deadline
    11.04.2024, 09:00-17:30: Day 1 (Fundamentals, HTML, Crawling, Fetching, Parsing)
    12.04.2024, 09:00-17:30: Day 2 (Advanced Scraping, Methodological and Ethical Issues)
    17.04.2024, 11:00-15:00: Q&A (Questions by Participants, Individual Consultation)
    26.04.2024, 23:59:59: Submission Deadline for the Group Exercise

     

    Location: Course will be held online-only via Zoom. Login details will be distributed after registration.

Winter term 2023 / 2024

  • The goal of this course is to present and discuss current state-of-the-art research in finance. Therefore, renowned researchers from various European universities will present their latest research in the fields of 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 are doctoral candidates and post-docs in finance. A requisite for participation is a specialization in finance and/or accounting.

     

    Syllabus: Advanced Topics in Finance Research (Methods/Theory)

     

    Registration: Please send an email to aida.cehajic@tum.de by October 10, 2023. In your email, please state your department and specify the topic and state of your dissertation or research area (post-docs).
    Strict preference will be given to individuals with a specialization in finance and/or accounting.

     

    Lecturer: Dr. Aida Cehajic (TUM)

     

    Course dates: See https://www.fa.mgt.tum.de/fm/research-seminar/

     

    Location: The course will mainly take place at TUM Campus Munich.

     

  • The goal of the seminar is to foster a vibrant academic environment where doctoral candidates engage in stimulating discussions with peers and senior researchers (professors) that would help advancing their research. Focused on the advances in energy economics, the seminar is designed for doctoral candidates and postdoctoral researchers with an interest in related fields..

     

    Syllabus: Advances in Energy Economics

     

    Registration: To register for the course please email cem@wi.tum.de by Sep 15th, 2023. Spaces limited to 10 participants.

     

    Lecturer: Prof. Svetlana Ikonnikova (TUM) & Prof. Sebastian Schwennen (TUM)

     

    Course dates: From Oct 15 2023 to Mar 2024 (14 sessions, 2 SWS)

     

    Location: The course will mainly take place at TUM Campus Munich.

  • This course is designed to help (in particular) junior scholars in the field of management gain exposure and experience with techniques on the written communication of academic work, specifically, how to write interesting and important introductions. The course requires reading and the discussion of readings, but it is fundamentally a “learning-by-doing” course. I hope to have you undergo an iterative process where you a) communicate your research, b) receive feedback, c) revise your communication, and then cycle through this process again in your own journey. The goal of this course is to start you on the path of being a great communicator of your research and increase the odds of publishing in a top journal. Here, top journal implies primarily the “Top 6” (AMJ, AMR, ASQ, ManSci, OrgSci, SMJ), the leading journals in other disciplines (e.g., AJS, ASR, MISQ, Nature, Science…), and also, though to a lesser degree, top field journals that are often part of the “FT 50” – a list of 50 strong management journals listed by the Financial Times. The central question for publishing in these top journals is, usually, how can I make a “theoretical contribution?” Therefore, this course aims to help you clarify your core ideas and craft the introduction so that you articulate the contribution.

     

    Syllabus: Communicating Management Research: (Re)writing Introductions

     

    Registration: Please sign up for the course via email to amy.zhaoding@tum.de by January 9, 2024, with your up-to-date academic resume and and the full manuscript you wish to discuss during the course. Your paper needs to be empirical. Also email me if you have any questions regarding the course.

     

    Lecturer: Prof. Amy Zhao-Ding, Ph.D. (TUM)

     

    Course dates

    All courses take place online, from 9:30am-5:45pm (changes subject to the number of students enrolled). Below are the dates and topics for the sessions, please see “Course Outline” for details on each session’s content and required preparations.

    31.01.2024 - What makes good theory? The clarification of ideas
    02.02.2024 - How to make a contribution? The craft of introduction: I
    07.02.2024 - How to make a contribution? The craft of introduction: II

     

    Location: online

  • The doctoral course in Contemporary Topics in Entrepreneurship and Family Enterprise provides an overview of the broad research field of entrepreneurship and family enterprises, and gives insights 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 enterprises.

     

    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 February 24, 2024 to office.gcfe@wi.tum.de

     

    Lecturer: Prof. Dr. Miriam Bird (TUM)

     

    Course dates:

    Day 1: Monday, March 11, 2024 - over Zoom
    Day 2: Monday, March 18, 2024 - onsite TUM Campus Heilbronn
    Day 3: Tuesday, March 19, 2024 - onsite TUM Campus Heilbronn
    Day 4: Wednesday, March 20, 2024 - onsite TUM Campus Heilbronn
    Day 4: Monday, April 22, 2024 (Zoom Meetings) (08:30-17:00) - over Zoom
     

    Location: The course will mainly take place at TUM Campus Heilbronn and via Zoom.

  • We will begin with the foundational issues in strategy and see how the field made substantial progress by relaxing and addressing head-on a number of restrictive assumptions in mainstream economics about information, decision-making, and behavior in organizations. We will start with the early progress made by using the theories and approaches of industrial organizational economics, in addition to a number of very important (and controversial) insights that strategic management provided. We will cover a family of theories that make up so-called “organizational economics” that address key questions related to the organizational and geographic scope of the firm, and we will cover a series of competence-based, evolutionary, and learning perspectives on competitive advantage and firm dynamics. Finally, some attention will also be given to theories that are newer and have been used less often in different streams of strategy research but hold considerable promise, including information economics and real options theory. By design and necessity, breadth will be prioritized over depth, but by the end of the course you will have familiarity with a considerable body of theoretical material that has provided the bedrock for strategic management research over the past few decades. Equally important to you, all of the theories we will cover are topical and provide the basis for scholars’ research programs today.

     

    Syllabus: Doctoral Seminar on Strategic Management (I): Theoretical Foundations of Strategy

     

    Registration: Please register for the course via self-registration in Moodle (https://www.moodle.tum.de/course/view.php?id=95847)

     

    Lecturer: Professor Jeffrey J. Reuer, PhD (University of Colorado)

     

    Course dates:

    Theoretical Foundations of Strategy (week of March 4, 2024)
    1. Foundational Issues in Strategy (Monday, March 4, 09:00-12:30)
    2. Industrial Organization Economics (Tuesday, March 5, 09:00-12:30)
    3. Resource-Based View (Wednesday, March 6, 09:00-13:00)
    4. Knowledge-Based View and Dynamic Capabilities (Wednesday, March 6, 09:00-13:00)
    5. Transaction Cost Economics (Thursday, March 7, 09:00-12:30)
    6. Information Economics (Thursday, March 7, 13:30-16:30)
    7. Real Options Theory (Friday, March 8, 09:00-12:30)

     

    Location: The course will mainly take place at TUM Campus Munich.

     

     

  • This doctoral course aims at giving doctoral students at the School of Management an overview of the 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: Econometrics I: Research Design and Estimation Methods

     

    Registration: Apply via Email to the instructor until December 20th 2023.

     

    Lecturer: Prof. Hanna Hottenrott (TUM)

     

    Course dates: 09.01.2024, 10.01.2024, 11.01.2024, 17.01.2024 and 18.01.2024

    The first session in a day will start at approx. 9am and last to about noon, after a short lunch break it will continue from about 1pm to 2:30pm. The second session in a day will last from 2:45pm to about 4pm.

     

    Location: The course will mainly take place at TUM Campus Munich.

  • 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 Prof. Dr. Hanna Hottenrott and “Econometrics II: Causal Inference” by Prof. Dr. Joachim Henkel.


    The course covers a selection of state-of-the-art methods in econometrics. 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 cover the following topics:

    • Generalized Methods of Moments (GMM) Estimation
    • Potential Outcomes and Treatment Effects
    • Panel Data Estimation
    • Regression Shrinkage Methods (Ridge, Lasso, Elastic Net)
    • Advanced Identification Strategies (e.g. Double Machine Learning and Causal Forests)

    In the morning, we will briefly discuss the econometric methods (including some applications to illustrate them). Students will then apply these methods and will replicate recent research papers in economics. 
    I will also assign a (replication) project to each student. You can also come up with an own application and/or dataset you are interested in.

     

    Syllabus: Econometrics III: Advanced Econometrics & Statistical Learning

     

    Registration: Until end of February, via email.

     

    Lecturer: Prof. Dr. Helmut Farbmacher (TUM)

     

    Course dates: March 11-15, 2024 (10am to 5pm, room 2544)

     

    Location: The course will mainly take place at TUM Campus Munich (room 2544).

  • Knowledge Objectives

    • Students will have a good understanding of academic writing and the structure of the different chapters in a scientific paper.
    • Students will know efficient publication strategies

    Skills Objectives

    • Students will have improved their skills in research as well as in writing their dissertations or papers.
    • Students will have a solid draft of one of their dissertation paper.
    • Students will have utilized the processes of revision by positive, constructive peer reviews of the documents by fellow students on their writing and by revising their documents.

    Learning Objectives

    • Students will have learned about how to start and finish writing a scientific paper in the context of writing a Ph.D. thesis.
    • Students will have identified standard elements of research papers and used this knowledge to work on their dissertations or papers.

     

    Syllabus: Efficient Academic Writing for Empirical Research

     

    Registration: Please apply until 31st January 2024 to Theresa Treffers, theresa.treffers@tum.de, via email containing:

    • Your CV with contact information and chair of your dissertation
    • Dissertation topic (1 sentence)
    • Problem statement (3 sentences)
    • Data description (3 sentences)
    • Target journal (possibly call for papers) and/or conference with deadline

     

    Lecturer: Prof. Dr. Isabell Welpe (TUM), Dr. Theresa Treffers (TUM), Nadja Born (TUM)

     

    Course dates: 12.03.2024, 08.04.2024, 09.04.2024, 16.04.2024 - 02.07.2024 (every Tuesday)

     

    Location: Campus Munich for one session, all other sessions are online

  • The seminar mainly targets 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 and universities interested in entrepreneurship for sustainable development are also welcome. Due to its interactive nature, the seminar is limited to 15 participants.

     

    Syllabus: Entrepreneurship for Sustainable Development

     

    Registration: If you are interested in the seminar, please send a short letter of motivation and CV as one pdf file to Prof. Dr. Frank-Martin Belz (frank.belz@tum.de), Prof. Dr. Claudia Doblinger (claudia.doblinger@tum.de) and Prof. Siddharth Vedula Ph.D. (siddharth.vedula@tum.de) by 31 October 2023.

     

    Lecturer: Prof. Dr. Frank-Martin Belz (TUM), Prof. Dr. Claudia Doblinger (TUM) & Prof. Siddharth Vedula, PhD. (TUM)

     

    Course dates: 

    Session 1: Introduction to Entrepreneurship for Sustainable Development
    Main facilitators: Frank-Martin Belz, Claudia Doblinger, Siddharth Vedula
    Date and location: Monday, 4 December 2023 (9:15-12:45), TUM main campus in Munich


    Session 2: Governmental Policy and Entrepreneurship for Sustainable Development
    Main facilitator: Claudia Doblinger
    Date and location: Monday, 4 December 2023 (13:45-17:45), TUM main campus in Munich


    Session 3: Communities and Entrepreneurship for Sustainable Development
    Main facilitator: Siddharth Vedula
    Date and location: Tuesday, 5 December 2023 (9:15-12:45), TUM main campus in Munich

    Session 4: Process of Sustainable Entrepreneurship
    Main facilitator: Frank-Martin Belz
    Date and location: Tuesday, 5 December 2023 (13:45-17:45), TUM main campus in Munich


    Session 5: Impacts of Sustainable Entrepreneurship
    Main facilitator: Frank-Martin Belz
    Date and location: Wednesday, 6 December 2023 (9:15-13:00), TUM main campus in Munich


    Session 6: Future Research - Presentation and Discussion of Paper Proposals
    Main facilitators: Frank-Martin Belz, Claudia Doblinger, Siddharth Vedula
    Date and location: Friday, 8 December 2023 (9:15-13:00), TUM main campus in Munich

     

    Location: The course will mainly take place at TUM Campus Munich.

  • This course aims to provide doctoral canidates at the School of Management with a practical introduction to conducting field experiments, with a particular focus on field experiments in economics.

     

    Syllabus: Field Experiments: Start to Finish

     

    Registration: Doctoral candidates send an email to Prof. Lergetporer philipp.lergetporer@tum.de 

     

    Lecturer: Prof. Philipp Lergetporer, PhD

     

    Course dates: Each day (09.10.2023-13.10.2023), the lecture starts at 9 am and ends at 4 pm. There will be a lunch break and coffee breaks.

     

    Location: The course will mainly take place at TUM Campus Heilbronn.

  • The course is offered for doctoral candidates and post-docs at TUM, who conduct research in the field of business, economics, psychology, political science, sociology, or adjacent fields. Participants of other universities can be accepted for the course if capacity permits.


    Each participant requires a working paper for participation, which will be peer-reviewed by another course participant.


    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 you 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, and empirical papers.
    • It is not necessary to submit a fully complete paper. Nevertheless, it must be at least 5,000 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.

     

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

     

    Registration: Application deadline: October 6, 2023

    • Please send an e-mail to the above email address with a registration request that (1) includes your name, (2) the title of your paper (see Assessment), and (3) your TUM-eMail-Address.
    • No late enrollment: Registration after the deadline is not possible.

     

    Lecturer: Prof. Dr. Jens Förderer (TUM)

     

    Course dates: Course will be held online-only via Zoom. Login details will be distributed after registration.
    06.10.2023, 23:59:59: Registration deadline
    12.10.2023, 09:00-16:00: Presentation by instructor
    30.11.2023, 09:00-16:30: Presentation day 1
    01.12.2023, 09:00-16:30: Presentation day 2

     

    Location: The course will take place online.

  • The course is intended for doctoral candidates in Strategic Management, International Management, Innovation, and Entrepreneurship. The goal is to develop ideas and working manuscripts with the aim of later submission for review in top management journals.

     

    Syllabus: Paper and Proposal Development in Strategic Management: Meet the Editors at HEC Paris

     

    Registration: The application process will take place on the TUM online platform. Participation is by application only. Interested scholars should register and submit an extended abstract (between 5 and 10 pages of text) of their project proposal to chengguang.li@tum.de. Submitted abstracts should describe the project, the intended theoretical contribution, the research design, the empirical approach, and the status of the project idea to date. Please note that submission of an abstract does not guarantee acceptance. The quality of the proposal will be taken into consideration.

     

    Lecturer: Prof. Chengguang Li (TUM) and Prof. Joachim Henkel (TUM)

     

    Course dates: The course will start on the 16 October 2023. It will end with a roundtable discussion at the HEC in Paris 08./09. November 2023.

     

    Location: HEC in Paris

  • This course gives doctoral students an introduction to the psychological theories and concepts that have been most influential 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.

     

    Syllabus: Psychological Theories

     

    Registration: By email to martin.fladerer@tum.de (Dr. Martin Fladerer) until December 1, 2023. Participants will be admitted on a first come, first served basis.

     

    Lecturer: Prof. Dr. Claudia Peus (TUM) and Dr. Martin Fladerer (TUM)

     

    Course dates: Course will be held in person at the TUM main campus in Munich (Arcisstr. 21, Building 0505, Room Z577) – except for the Group Feedback, which is online.

    Friday, 15 December 2023, 9.00 am to 5.00 pm

    Friday, 9 February 2024, 1.00 pm to 5.00 pm, online (Group Feedback)

    Thursday, 22 February 2024, 9.00 am to 5.00 pm (Presentation Day 1)

    Friday, 23 February 2024, 9.00 am to 5.00 pm (Presentation Day 2)

     

    Location: Campus Munich, room Z577

  • Qualitative research has become an established method of inquiry in human and social sciences, including management and related fields. Qualitative papers are published in leading management journals (e.g. Academy of Management Journal). In this seminar, you will learn about: the notion of methodological fit; ontological and epistemological assumptions; qualitative research designs; research methods for qualitative data collection; and research methods for qualitative data analysis.

     

    Syllabus: Qualitative Research

     

    Registration: Since the doctoral seminar is interactive, it is limited to 15 participants. If you are interested, send a short letter of motivation and CV to Prof. Dr. Frank-Martin Belz by 26 November 2023 (email: frank.belz@tum.de). 

     

    Lecturer: Prof. Dr. Frank-Martin Belz (TUM)

     

    Course dates: 15.01.2024, 16.01.2024, 17.01.2024, 19.01.2024

     

    Location: Campus Munich

    The doctoral seminar will be held in person at the TUM School of Management in Munich (seminar room to be assigned). Note that is required to read all papers before class to allow group work and in-depth discussions.

  • Doctoral candidates in accounting will be familiarized with recent research in empirical financial and sustainability accounting.

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

     

    Syllabus: Readings in Empirical Accounting Research

     

    Registration: Please write an e-mail to Mario.keiling@tum.de by October 9th, 2023 at the latest.

     

    Lecturer: Prof. Dr. Jürgen Ernstberger (TUM)

     

    Course dates: The kick-off meeting is on October, 17th at 4 p.m. This first session provides an overview of important criteria for assessing the quality of empirical accounting research papers. In the following sessions, we discuss overview papers, seminal papers on specific topics, or state-of-the-art papers. Students can make suggestions for suitable papers which are related to their dissertation topics. In the following sessions, we discuss current working papers which are presented in research seminars, and we participate in these seminars to learn how to present and discuss a paper.

     

    Location: Campus Munich, room 3546 + excursions

  • This seminar is open for all doctoral candidates at TUM School of Management who are interested in learning more about how to read, analyze, comprehend, and evaluate published studies systematically.

     

    Syllabus: Seminal Research in Operations and Supply Chain Management

     

    Registration: Please write an email to michela.carraro@tum.de until 15 October

     

    Lecturer: Michela Carraro (TUM)

     

    Course dates: The course will be held hybrid. The preliminary course dates for the WS 23/24 are

    Thursday, 26 October 2023, 9.00 am to 6.00 pm
    Thursday, 2 November 2023, 9.00 am to 6.00 pm
    Thursday, 9 November 2023, 9.00 am to 6.00 pm
    Thursday, 16 November 2023, 9.00 am to 6.00 pm
    Thursday, 23 November 2023, 9.00 am to 6.00 pm
    Thursday, 30 November 2023, 9.00 am to 6.00 pm
    Thursday, 7 December 2023, 9.00 am to 6.00 pm

  • The course is offered for doctoral candidates and post-docs at TUM. Participants of any research field are welcome.


    Participants of other universities are accepted only if capacity permits.
     

    Syllabus: Web Scraping for Scientists: An Introduction with Python

     

    Registration: Please send an email to the above stated address with a registration request that includes your name (see below) and your TUM eMail-address. Please do not sign up using your private email address.

    Registration deadline: 12.10.2023

     

    Lecturer: Prof. Dr. Jens Förderer (TUM)

     

    Course dates: Course will be held online-only via Zoom. Login details will be distributed after registration.
    12.10.2023, 23:59:59: Registration Deadline
    19.10.2023, 09:00-17:00: Day 1 (Fundamentals, HTML, Crawling, Fetching, Parsing)
    20.10.2023, 09:00-17:00: Day 2 (Advanced Scraping, Methodological and Ethical Issues)
    27.10.2023, 09:00-14:00: Q&A (Questions by Participants, Individual Consultation)
    09.11.2023, 23:59:59: Submission Deadline for the Group Exercise

     

    Location: The course will take place online.

  • Doctoral candidates and post-docs in business/management with particular interest in Sustainable Finance including ESG investing, green finance, and impact investing.

     

    Syllabus: Workshop on Current Research Trends in Sustainable Finance

     

    Registration: Doctoral candidates and post-docs may apply using a registration form 

    Registration will open on 1 July 2023.
    Deadline for registration is the 15 September 2023.


    The course is limited to 12 participants (first come, first served).

     

    Lecturer: Prof. Dr. Sebastian Müller (TUM) & Dr. Karoline Bax (TUM)

     

    Course dates: The presentation day will take place via Zoom approximately two weeks after the workshop. Login details will be  distributed after registration.

    The schedule of the 15 November 2023:

    9.30-10.00 Opening and administration
    10.00-11.30 Literature review part 1
    11.30-13.00 Literature review part 2
    13.30-16.30 Empirical analysis of prominent issues in sustainable finance
    16.30-18.00 Presentation of results and possible discussion on future research directions

    The schedule of the 16 -17 November 2023:
    09.00 – 17.30 Presentations and Panel Discussions

     

    Location: The course will mainly take place at TUM Campus Heilbronn.