Doctoral Program

Doctoral Course Program

Please note

Due to the corona pandemic, some of the courses of summer semester 2020 cannot be conducted as planned. Please find information on changed formats (e.g. virtual lecture) and dates, as well as other information on the courses in the course list below. If you have questions on the organization of a course, please contact the organizer.

  • The registration for our doctoral courses is binding.
  • From the course program, all doctoral candidates who entered the list of doctoral candidates after January 1, 2014, have to complete at least four courses in Methods/Theory and one research skills seminar or five courses in Methods/Theory. Each doctoral course has to be on doctoral level and has to be equivalent to 4 ECTS and a minimum of 22.5 hours class time.
  • Doctoral candidates who would like to hand in their docotral thesis must contact the Graduate Center in time (at least three months in advance) in order to request the approval form before submitting your dissertation to make sure your doctoral course program is completed. Please note that there are different approval forms according to the entry date to the list of doctoral candidates and the membership status in the Graduate School.
  • If not indicated differently, all doctoral courses are taught in English.

Title
Description
Lecturer
Course Dates
Data Analytics in Scientific Research – An Introduction
Das Ziel des 3-tägigen Seminars besteht darin den Doktoranden ein interdisziplinä­res Wissen zur ...

Anwendung von Data Analytics Lösungen im wissenschaftlichen Umfeld zu vermitteln. Im Seminar wird den Doktoranden ein ganzheitlicher Einblick im Vorgehen, von der Datenaufbereitung bis hin zur Interpretation der Analyseer­gebnisse, gelehrt. Ergänzend erfolgt eine Einführung in die Softwarelösung Alteryx, welche im Rahmen der Gruppenarbeit benötigt wird. Die in den Gruppen zu bear­beitenden Problemstellungen sollte den Doktoranden ermöglichen erste Erfahrun­gen mit Alteryx zu erlangen, die Grundlagen aus dem Seminar anzuwenden sowie Vor- und Nachteile eines solchen Analyse-Tools zu erkennen.

Syllabus: Data Analytics in Scientific Research – An Introduction

Registration: Alle interessierten Doktoranden müssen sich bis spätestens zwei Wochen vor Veranstaltungsbeginn per E-Mail anmelden (E-Mail: wisekretariate@wi.turn.de).


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Prof. Dr. Dr. h. c. mult. Horst Wildemann / Dr. Sebastian Eckert

tbd
Ph.D. Seminar on Recent Research Advances in Analytics, Operations, and Supply Chain Management
Reading and comprehending academic studies is perhaps the most essential skill for conducting and pu...

blishing own research. At the end of this course, students will be able to critically discuss and analyze influential research papers published in top journals. For any given study, students will be able to read it carefully, analyze its strengths and weaknesses and point independently to possible future research perspectives.
Students will further become more independent researchers as they will understand (1) some of the key elements pertaining to successfully published studies, (2) how to make a significant contribution to literature, and (3) how to tell a story in a research publication.

Syllabus: Ph.D. Seminar on Recent Research Advances in Analytics, Operations, and Supply Chain Management

Registration: Registration for this course can be done through “self-enrollment” in Moodle. This option will be available starting in October.


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Prof. Kiesmüller (gudrun.kiesmueller@tum.de), Prof. Xie (jin-gui.xie@tum.de), and Prof. Wuttke (david.wuttke@tum.de) at TUM Campus Heilbronn

- The course takes place weekly in the winter semester (Vorlesungszeit).
- It is always on Thursday, 12:30 PM – 2:45 PM
- It takes place in the room L.2.41 on the TUM Campus Heilbronn
Women and Entrepreneurship
Women entrepreneurs are starting businesses at a faster rate compared to the population at large. De...

spite this trend, women entrepreneurs are underrepresented in many industries, experience high failure rates, often start lifestyle venture that do not grow. Given these patterns, in the last decades there has been an increasing body of research on the topic, leading women’s entrepreneurship research to be established as a field of study. Women’s entrepreneurship research has influenced entrepreneurship domain by showing that entrepreneurship is a gendered phenomenon (Jennings & Brush, 2013). Women’s entrepreneurship research has been published in leading journals such as the Academy of Management Annals and Administrative Science Quarterly. In the first part of the seminar, students will acquire knowledge of the foundations of women’s entrepreneurship field. During the second part, students will look at the main questions that define the field today and critically examine  ow researchers are approaching these questions. The seminar is targeted at Doctoral students, who are interested in understanding the gender issues in entrepreneurship.

Syllabus: Women and Entrepreneurship

Registration: Please send an email to daniela.gimenez@tum.de (before December 15, 2020).

Capacity: Max. 15 participants.


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Dr. Daniela Gimenez Jimenez

13.01.2021, 20.01.2021, 27.01.2021

The doctoral seminar will take place at: TUM School of Management, Arcisstrasse 21, 80333 München (TBD).
Title
Description
Lecturer
Course Dates
Ph.D. Seminar on Seminal Research in Analytics, Operations, and Supply Chain Management
Reading and comprehending academic studies is perhaps the most essential skill for conducting and pu...

blishing own research. At the end of this course, students will be able to critically discuss and analyze influential research papers published in top journals. For any given study, students will be able to read it care-fully, analyze its strengths and weaknesses and point independently to possible future research perspectives.
Students will further become more independent researchers as they will understand (1) some of the key elements pertaining to successfully published studies, (2) how to make a significant contribution to literature, and (3) how to tell a story in a research publication.

Syllabus: Ph.D. Seminar on Seminal Research in Analytics, Operations, and Supply Chain Management

Registration: tbd

 


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Prof. Kiesmüller (gudrun.kiesmueller@tum.de), Prof. Xie (jin-gui.xie@tum.de), and Prof. Wuttke (david.wuttke@tum.de) at TUM Campus Heilbronn

tbd
Title
Description
Lecturer
Course Dates
Advanced Econometrics: Causal Inference
Econometric methods are important in many fields of management research. In order to derive meaningf...

ul and robust results, one has to know these methods and understand them well. This course shall convey advanced econometric methods, with a focus on approaches to address issues of selection and causality such as instrumental variables and propensity score matching. Depending on the participants’ needs, the emphasis can be shifted to some extent; we will discuss the selection of topics at the kick-off session. The focus will be on applicable knowledge, not so much on details of the theory.

 

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

  • Heckman selection models
  • Instrumental variables
  • Differences-in-Differences
  • Regression discontinuity design
  • Matching (e.g. propensity score matching, exact matching)
  • Randomized controlled trials

 

Intended learning outcomes: Participants shall be able to select the appropriate econometric method given a certain problem and data set; to apply this method proficiently using STATA and/or R; to know the advantages and pitfalls of each method; and to judge if the econometric approach in published studies is correctly chosen and well executed.

 

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.

 

Syllabus: Advanced Econometrics: Causal Inference

 

Registration: Until April 21, 2020, noon, via Moodle.


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Prof. Dr. Joachim Henkel

Will be held as online seminar. Kick-off April 21, 2020, 4:00 pm – 5:30 pm. The course will be taught as a series of three full-day seminars in May, June, and July. Dates will be coordinated with participants.
Applied Econometrics: an introduction
This doctoral course aims at giving doctoral students an overview of the essentials quantitative met...

hods. 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. The course is taught over 5 days. We expect all students to read all the required readings and be prepared to discuss as the class will be interactive. Attendance is mandatory! We have combined lectures that provide an overview of the different concepts as well as more applied exercises that employ the techniques we will discuss. All examples will be illustrated using STATA. Please bring your own laptops – if you do not have STATA, please make sure you can access a network license from the School of Management.

Syllabus:  Applied Econ March 2020

Registration: hanna.hottenrott@tum.de (no later than March 1st, 2020)


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Prof. Dr. Hanna Hottenrott

Had to be postponed, new dates will be announced asap
Digital Technologies in Financial Accounting and Auditing
This course focuses on articles covering the impact of digital technologies on financial accounting ...

and auditing processes, digital disclosure, and dissemination and analysis of disclosures. After this course, participants

  • know of state-of-the art digital accounting literature,
  • are able to apply new technologies in accounting research,
  • are able to evaluate the use of digital technologies in accounting and auditing,
  • are able to identifying interesting, important, and researchable topics in digital accounting and auditing,
  • are able to formulate testable hypotheses about research topics in digital accounting and auditing,
  • are able to empirically test hypotheses using valid, powerful, and well-chosen research designs,
  • are able to identify topics and settings for their own research/PhD projects

Syllabus: Digital Technologies in Financial Accounting and Auditing

Registration: Please write an e-mail to benedikt.downar@tum.de by April 27th, 2020 at the latest.

Max. number of participants: The number of participants is limited to 10.


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Prof. Dr. Jürgen Ernstberger

Every Tuesday from 4.30 p.m. till 6.00 p.m. (sometimes other dates, will be provided in the course)
Kick-off: April 28th, 2020, 4.30 p.m.

Location
Virtual Zoom meeting
Economics of Aging (Methods/Theory)
The seminar “Economics of Aging” will cover several economic and sociological aspects of demogra...

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.

Basic knowledge of the empirical research methods is essential. The successful completion of courses like “empirical research methods”, “angewandte Statistik”, “empirische Wirtschaftsforschung”, “consumer behavior research methods” is highly recommended.

Syllabus: Economics of Aging

Registration by e-mail to kneip@mea.mpisoc.mpg.de until April 13, 2020


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Prof. Axel Börsch-Supan
(Max Planck Institute for Social Law and Social Policy)

Will be offered as online seminar, Wednesdays, 10.30 to 12.00 a.m.,

Kick-Off: April 20
Empirische Forschungsmethoden: Evidenzorientierte empirische Forschung und multivariate statistische Analyse von Fragebogendaten und hierarchischen Datenstrukturen
Im Seminar werden grundlegende Aspekte empirischer Forschungsstudien, multivariate Verfahren zu Frag...

ebogen- und Kompetenzskalen sowie Verfahren zur Analyse hierarchischer Datenstrukturen behandelt. Zunächst werden verschiedene empirische Studiendesigns und deren Eignung zur Prüfung von Kausalbeziehungen behandelt. Es wird geklärt, weshalb die interne Validität als Kernkriterium für die Beurteilung der Eignung eines Designs zur Sicherstellung hoher Evidenz für Ursache-Wirkungsbeziehungen entscheidend ist. Experimentelle Standards und die Merkmale alternativer Studiendesigns werden vergleichend behandelt.

Komplexe Datenstrukturen (z. B. Fragebogendaten) können mittels konfirmatorischer Faktorenanalyse und Strukturgleichungsmodellen analysiert werden. Zunächst werden die theoretischen Hintergründe eingeführt und Möglichkeiten der Definition von Modellen behandelt. Die Teilnehmenden lernen die Programmoberfläche der in SPSS enthaltenen Software AMOS und die Software Mplus 8.0 zur empirischen Modellschätzung einzusetzen. Methoden und Kriterien zur Bestimmung der Güte der Modelle werden theoretisch geklärt und mit Hilfe der Software bestimmt. Anschließend werden Methoden zur gezielten Modelloptimierung eingeführt und am Rechner eingeübt.

Zur Analyse von Kompetenzskalen bzw. kategorialen Antwortformaten (z. B. richtig vs. falsch) müssen Verfahren aus der Familie der Item-Response-Modelle eingesetzt werden. Diese können  mit der Software MPlus 8.0 geschätzt werden. Es wird gezeigt, dass Verfahren für metrische, ordinale und dichotome Daten auf derselben Grundlogik basieren: Für die Analyse metrischer  Daten wird jedoch ein linearer Ansatz verwendet, während für kategoriale Variablen der logistische Ansatz zur Anwendung kommt.

Hierarchische Lineare Modellen bzw. die Mehrebenenanalyse bieten z. B. für varianz-, regressions- und faktorenanalytische Analyseansätze wichtige Erweiterungen, wenn Daten in natürlichen Gruppen oder Clustern (z. B. Arbeitsteams, Organisationseinheiten) erhoben wurden. Zum einen können Abhängigkeiten zwischen Gruppenmitgliedern angemessen modelliert werden, zum anderen können Beziehungen zwischen Datenebenen (z. B. Ebene 1: Einzelne Teammitglieder; Ebene 2: Teammerkmale wie Größe oder Teamklima) bestimmt werden. Bei Messwiederholungsdaten besitzen Hierarchische Lineare Modelle validere Modellannahmen und sie eröffnen vielfältige Analyseoptionen (insbes. im Vergleich zur Varianzanalyse mit Messwiederholung).

Für alle statistischen Verfahren werden die theoretischen Grundlagen, deren Umsetzung am Rechner, die Gütebeurteilung und Publikationsstandards behandelt.

Anmerkung: Die frei verfügbare Demoversion von MPlus 8.0 sollten die Teilnehmenden auf ihrem Laptop installieren.

Syllabus: Empirische Forschungsmethoden

Registration: bis 30.04.2020; per mail an Dr. Theresa Treffers. theresa.treffers@tum.de  Betreff: Doktorandenkurs München


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Prof. Dr. Isabell Welpe, Prof. Dr. Markus Antonius Wirtz

21., 22., 23. Mai 2020 (via Zoom)
Eye Tracking for Organisational Research and Economics (or how to develop, conduct, and analyse your own eye tracking study)
This seminar aims at teaching the theoretical and practical basics of eye tracking and how it is app...

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 email to hannah.kunde(at)tum.de latest by May 31st 2020. First come first served


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Dr. Franziska Emmerling
Hannah Kunde

Will be offered as online seminar. 04.06.2020, 9:00-12:00 & 13:00-15:00 and 05.06., 18.06., 19.06., 9:00-12:00 & 13:00-16:00
Introduction to Experimental Economics
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. If you consider using experimenTUM, TUM’s laboratory for experimental research in economics, you are strongly encouraged to take it.

 

Syllabus: Introduction to Experimental Economics

 

Registration:

Write to Andreas Ostermaier no later than noon of July 31, 2020 to apply (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. From a pedagogical angle and out of fairness toward the other participants, it is not acceptable to miss major parts of the course for any reason, including the supervision of student exams.


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Dr. Andreas Ostermaier, Associate Professor of Accounting

August 3–5, 2020 in room 0505.03.539 or online
Psychological Theories
This course gives an introduction to the psychological theories and concepts that have been most inf...

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: By email to anna.brzykcy@tum.de until May 14, 2020. Participants will be admitted on a first come, first served basis.


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Prof. Dr. Claudia Peus, Dr. Anna Brzykcy

May 18, 2020, 9.00 a.m. to 3.30 p.m., online
June 22, 2020, 9.00 a.m. to 5.00 p.m., online
July 20, 2020, 9.00 a.m. to 5.00 p.m., online
Python for Machine Learning
The course allows PhD students to start their own empirical Python projects and introduces various M...

achine Learning models. It also teaches some highly relevant python packages, version control, project management. Each afternoon (except on the first day) the students work on their own applied exercises – the course is thus totally applied.

Please bring your own laptop + charger.

Syllabus: Python Course Outline

Registration: By e-mail to doctoralprogram@wi.tum.de until March 15, 2020. Max. 25 participants. First come, first served.


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Michael E. Rose, Post Doctoral Researcher at MPI for Innovation and Competition

Had to be postponed, will take place in the winter semester
Topics in Behavioral and Experimental Economics
The course pursues three main goals: (A) I will introduce you to the research frontier in behavioral...

and experimental economics. What are the main historical milestones? What have been the hot topics of recent years? In which direction is the literature currently moving? (B) You will learn to recognize some essential features of good (and not so good) behavioral/experimental papers and be able to apply that knowledge to your own work. (C) We will practice the essential skill of pitching one’s own experimental/behavioral research effectively to others, be it at a conference, over lunch/dinner/coffee, in an interview slot with an invited seminar speaker, in a taxi, etc.

Syllabus: Topics In Behavioral And Experimental Economics

Registration: m.kurschilgen@tum.de (before May 1). Please write Topics ExpEcon as email subject.

Capacity: 16 participants


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Prof. Dr. Michael Kurschilgen

Will be offered as online seminar, new dates will be announced asap
Title
Description
Lecturer
Course Dates
Advanced Topics In Finance
The goal of this course is to present and discuss current state-of-the-art research in finance. Ther...

efore, 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 PhD 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 September 20, 2019. In your email, please state your department and specify the topic and state of your PhD thesis or research area (post-docs). Strict preference will be given to individuals with a specialization in finance and/or accounting.


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Various speakers from various European universities

The course takes place throughout the full academic year (WS19/20 + SS20).
Students need to participate for a sufficient amount of presentation time (22.5 hours) to arrive at the full credit of 2 SWS.
Potential ways of participation:
Finance seminar series
• Munich Finance day (usually counts 3 hours, takes place 2x per year, usually at the end of January / July, dates can be found here)
Economics of Aging (Methods/Theory)
The seminar “Economics of Aging” will cover several economic and sociological aspects of demogra...

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.

Basic knowledge of the empirical research methods is essential. The successful completion of courses like “empirical research methods”, “angewandte Statistik”, “empirische Wirtschaftsforschung”, “consumer behavior research methods” is highly recommended.

 

Syllabus: Economics of Aging (Methods/Theory)

Registration: By e-mail to: kneip@mea.mpisoc.mpg.de until October 7, 2019


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Prof. Axel Börsch-Supan
Max Planck Institute for Social Law and Social Policy

Wednesdays, 10.30 to 12.00 a.m. (except Tuesday, 22.10., Tuesday, 12.11. & Tuesday 19.11.)

Kick-Off: October 16
Location: Munich Center for Economics of Aging, Max-Planck-Institut für Sozialrecht und Sozialpolitik, Room 313, Amalienstraße 33, 80799 München
Empirische Forschung mit Hilfe der Conjoint-Analyse – Eine Einführung
Bei diesem Seminar handelt es sich um ein 3-tägiges Intensivseminar. Für TUM Doktoranden/-innen we...

rden mit diesem Seminar die Mindesanforderungen von 22,5 Vollzeit-Präsenzstunden erreicht. Im Rahmen des Seminars werden aktuelle Veröffentlichungen zum Einsatz von Conjoint-Analyse im wissenschaftlichen Umfeld diskutiert sowie die Vor- und Nachteile der Methode herausgearbeitet (siehe Seminar begleitende Literatur: Wildemann – Conjoint-Analyse und Kundenorientierung). Ebenso Bestandteil des Seminars ist die Erarbeitung einer Vorgehensweise Conjoint-Analysen aufzubauen, welche in Form von Gruppenarbeiten erarbeitet wird. Ziel des Seminars ist, dass die Teilnehmer/-innen in Ihrem Forschungsumfeld Conjoint-Analysen gezielt einsetzen können, um empirische Erhebungen durchzuführen.

 

Syllabus: Empirische Forschung mit Hilfe der Conjoint-Analyse – Eine Einführung

Registration: Alle interessierten Doktoranden/-innen müssen sich bis spätestens zwei Wochen vor Verantstaltungsbeginn per E-Mail anmelden (E-Mail: wisekretariate@wi.tum.de)


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Prof. Dr. Dr. h.c. mult. Horst Wildemann

October 18 - October 20, 2019 in Kitzbühel
Machine Learning: Theory, Methodology and Business Applications
The main objective of this seminar is to achieve a deeper understanding of the research problems ass...

ociated with machine learning theory, methodologies and novel business applications. We will discuss basics of estimation as a machine learning problem. In the process we will cover problems such as regression (classication as regression), classication, clustering, and reinforcement learning as well as methodologies used for solving these problems. We will discuss articles which have used these formulations and methodologies as an integral part of the seminar.

Students taking this seminar should have some background in probability theory, statistics, linear algebra, algorithms and optimization theory. Though not necessary, knowledge of R and/or Python is also helpful.

The seminar is a mixture of lectures (by me) and presentations by you. Each student will have the option to discuss an article that is relevant to the topics covered here and/or present a relevant research idea.

Syllabus: Machine Learning – Theory, Methodology and Business Applications

Registration: Please contact Ms. Christine Steinberger, steinbergerch@tum.de. Max. 20 participants. First come first served.


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Haldun Aytug (University of Florida)

Wednesdays 9am-12:30, January 15 - March 18, 2020
Location: TUM School of Management, Room 1517 - 1519
Paper Design Workshop
Academic conversations mainly progress through paper publications in academic journals. However, not...

all papers and all journals are the same. Academic conversations are often led by publications in so-called top journals. That does not mean that all papers in top journals are good, or that papers published outside those journals are bad – however, given how we all have limited time (and, hence, often focus our reading time on top journals), publications in top journals carry more status and, in the logic of a self-fulfilling prophecy, that should attract better paper submissions, a stricter reviewing process, and, hence, higher quality on average.

Syllabus: Paper Design Workshop

Application process:
Please submit to o.alexy@tum.de by 30.11.2019: a cover letter, a full, up-to-date academic resume, the paper or paper idea you would like to bring into this course including any review(s) you may have potentially received on the paper previously. In your cover letter (no longer than 2 pages), please specify (1) the topic and state of your doctoral thesis, (2) why and how you think that taking this specific course will help you become a better scholar, (3) what scholar you would like to become, (4) the history of your paper (where does it come from, where has it been), and your goals for the paper (where do you want to submit it, when, and why), and (5) why you think this paper can make a contribution to academia, what that contribution is, and who would care. Please note that no feedback can be provided on applications that are turned down.

 


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Oliver Alexy

24.01.2020
14.02.2020
06.03.2020
All courses take place at the Entrepreneurship Research Institute (Building 5433) at Garching (Room 2001), from 9:00am-5:15 pm.
PhD Seminar on Academic Writing
This course aims at improving participant’ academic writing skills, and help them to publish paper...

s at leading journals. The course is an intensive one-week course, where participants are expected to focus exclusively on this course. Participants are expected to submit a piece of writing before the start of the seminar. This can be a draft of a conference paper or a draft of a regular paper. The goal is to course is to revise the written piece after each day of the PhD course. At the end of the course, the initially submitted piece of writing should be revised substantially and should be re-submitted to the professor. Participants should also actively take part in the discussions.

Prerequisites: First writing experience (in English). Please note that attendance is expected on all three days.

Syllabus: PhD Seminar on Scholarly Writing

Registration: By email to doctoralprogram@wi.tum.de. Participants will be admitted on a first come, first served basis. The maximum number of participants is 20. Please include information on your paper etc. that you would like to work on.


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Prof. Christoph Fuchs, PhD

Day 1: 5. March 2020 (Room 2536), 9:00 – ca. 17:00
Day 2: 9. March 2020 (Room 2536), 9:00 – ca. 17:00
Day 3: 11. March 2020 (Room 2536), 9:00 – ca. 17:00
Psychological Theories
This course gives an introduction to the psychological theories and concepts that have been most inf...

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 both psychological research and psychological research methods and will be asked to choose one of the theories. Thus, the attendance on that day is required.

 

Syllabus: Psychological Theories

Registration: By email to: kerstin.loewe@tum.de until November 13, 2019 (Wednesday). Participants will be admitted on a first come, first served basis.


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Prof. Dr. Claudia Peus & Dr. Anna Brzykcy

December 09, 2019, 2.00 to 6.30 p.m., Room Z538
January 13, 2020, 9.30 a.m. to 6.30 p.m., Room Z538
January 27, 2020, 9.30 a.m. to 6.30 p.m., Room Z538
Qualitative Research
Qualitative research has become an established method of inquiry in human and social sciences, inclu...

ding 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 nature, design, and methods of qualitative data collection and analysis. The seminar is targeted at postgraduate students (PhD and post doc researchers), who intend to employ qualitative research designs and methods.

 

Syllabus: tbd

Registration: If you want to attend and participate in the postgraduate seminar, write an email to: Frank.Belz@tum.de. The registration deadline for the seminar is the tbd. Prof. Dr. Frank-Martin Belz will confirm your registration and grant access to the required readings.


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Prof. Dr. Frank-Martin Belz

13.1.2020 9 am - 5:30 pm
20.1.2020 9 am - 5:30 pm
27.1.2020 9 am - 5:30 pm
Readings in Empirical Accounting Research
This course focuses on empirical archival accounting research, covering theoretical, methodological ...

and technical aspects of this research program. After this course, participants should

  • know of state-of-the art accounting literature
  • understand the methodological approaches to empirical archival accounting research
  • know (and avoid!) common pitfalls of empirical archival research designs
  • have a feeling for the most important aspects for publishing in top-journals in accounting
  • be able to identifying interesting, important, and researchable topics in financial accounting
  • be able to formulate testable hypotheses about research topics
  • be able to empirically test hypotheses using valid, powerful, and otherwise wellchosen research designs
  • be able to identify topics and settings for your own research/PhD projects

 

SyllabusReadings In Empirical Accounting Research

Registration: Please write an e-mail to benedikt.downar@tum.de by October 10th, 2019 at the latest.


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Prof. Dr. Jürgen Ernstberger

Every Tuesday from 4.30 p.m. till 6.00 p.m.
Sometimes other dates (will be provided in the course)

Kick-off: October 15th, 2019, 4.30 p.m.

Location:
TUM School of Management, 0505
Room 3546 (entrance opposite to Luisenstraße 57, 3rd floor)
The road to publishing qualitative papers
Transforming a rich case study into a 40-page manuscript is challenging. For good and for bad, there...

is no boiler-plate template to follow. In this course, we will look at different paths that authors have taken when writing up qualitative work, discuss how to tackle reviewers’ comments and participants will get a chance to reflect on their own writing and how to make it more transparent.

 

Syllabus: Publishing Qualitative Papers

Registration: Please register by sending an e-mail to Prof. Breugst (nicola.breugst@tum.de).


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Prof. Anna Brattström / Prof. Nicola Breugst

7.10.2019 9 am-16 pm,
8.10.2019 9 am-16 pm,
9.10.2019 9 am-12 noon,
and an additional day of presentations (for students needing course credits, tbd in the course).
The course will be held at the Entrepreneurship Research Institute in Garching.

Contact

  • Annette Rank von Bronk
    Grade Management, Doctoral Program, TUM Campus Heilbronn
  • Phone +49 (7131) 264 18603
  • Room Bildungscampus 2, 74076 Heilbronn
  • E-Mail doctoralprogram@wi.tum.de
  • Student Visiting Hours

    Due to the current situation, our offices will remain closed for the time being.
    Please send us an e-mail instead.
    Responsibilities: registration to list of doctoral candidates, DocGS, submission of doctoral thesis, proofreading service, internationalization grants, certificates

  • Oliver Klein
    Program Manager, Doctoral Program, TUM Campus Heilbronn
  • Phone +49 (7131) 264 18607
  • Room Bildungscampus 9, 74076 Heilbronn
  • E-Mail doctoralprogram@wi.tum.de
  • Student Visiting Hours

    Due to the current situation, we have decided to cancel our Student Visiting Hours. Instead, we offer consultations via phone:
    Mon: 8-9.30am, Wed: 1-2pm, Fr: 9-11am
    Responsibilities: program management, project management

  • Janine Rothenburger
    Grade Management, Doctoral Program, TUM Campus Munich
  • Phone +49 (89) 289 25033
  • Fax +49 (89) 289 25070
  • Room 1566
  • E-Mail doctoralprogram@wi.tum.de
  • Student Visiting Hours

    Due to the current situation, we have decided to cancel our Student Visiting Hours.
    Please call us via phone or send us an email with your inquiry.
    Responsibilities: registration to list of doctoral candidates, DocGS, submission of doctoral thesis, proofreading service, internationalization grants, certificates

  • Charlotte Buhl
    Program Manager, Doctoral Program, TUM Campus Munich
  • Phone +49 (89) 289 25082
  • Fax +49 (89) 289 25070
  • E-Mail doctoralprogram@wi.tum.de
  • Student Visiting Hours

    Due to the current situation, we have decided to cancel our Student Visiting Hours.
    Please call us via phone or send us an email with your inquiry. If necessary, we offer an online appointment.
    Responsibilities: program management, project management