Category Archives: Network Courses

17th International Research Workshop – Methods for PhD (27 August – 1 September 2023)

17th International Research Workshop – Methods for PhD
27 August – 1 September 2023
Akademie Sankelmark, Flensburg (Germany)


PARALLEL MORNING SESSION 1 (28 – 30 August 2023)

PARALLEL AFTERNOON SESSION 2 (28 – 30 August 2023)



PARALLEL SESSION 3 (1 September 2022)


  • Dr Wenzel Matiaske, Helmut-Schmidt-University
  • Dr Simon Jebsen, University of Southern Denmark
  • Dr Heiko Stüber, University of Applied Labour Studies


559 Euro (with accommodation and meals)

It is possible to get a certificate on five credit points (according to the European Credit Transfer System).


The workshop will take place at the Akademie Sankelmark, Akademieweg 6, in Oeversee (near Flensburg), Germany.


Don’t hesitate to contact the workshop committee ( for any questions.

Please register for the workshop here or on the workshop website.


  • Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
  • Akademie Sankelmark im Deutschen Grenzverein e.V.


  • Europa-Universität Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics

HSU Hamburg: Automatische Textanalyse (25.05.2023)


Digitalisierung und Vernetzung haben große Mengen unstrukturierter Textdaten hervorgebracht, die auch von der Organisations- und Personalforschung genutzt werden können. Soziale Medien, Texte über Unternehmen (z.B. Presseartikel), von Unternehmen (z.B. Geschäftsberichte oder Stellenausschreibungen) sowie Texte, die innerhalb von Unternehmen entstehen (z.B. im Social Intranet) bieten zahlreiche Möglichkeiten für die Forschung. Um jedoch mit den großen Datenmengen angemessen arbeiten zu können, bedarf es Methoden des Text Minings, die auf Basis von Algorithmen automatisch Muster in großen, unstrukturierten Texten und Textsammlungen erkennen und relevante Informationen extrahieren.

Der Kurs führt in das Thema Text Mining ein, indem er unterschiedliche Verfahren und deren Anwendungsgebiete darstellt und den typischen Verlauf solcher Forschungsprojekte aufzeigt.


25.05.2023, ganztägig


Helmut-Schmidt Universität / Universität der Bundeswehr Hamburg

Holstenhofweg 85, 22043 Hamburg

Gebäude M1, Mensaraum 001 (Erdgeschoss)


Dr. Heiko Hoßfeld

University of Labor, Frankfurt/M.




Wenn Sie sich für diesen Kurs anmelden möchten, schicken Sie bitte eine Email an

VHB ProDok Kurs

Marketing Strategy Performance: Theory, Models, and Empirical Applications

Against the background of increasing pressure from the capital market and major corporate trends such as digitization, corporate social responsibility and corporate political activism, marketing managers are more and more than ever forced to demonstrate the performance and value relevance of their decisions for various stakeholders. Marketing scholars have responded to this development and produced numerous articles that relate marketing decisions (e.g., new product introductions, major price changes, investing in digital sales channels, partnering with social-media influencers) with the creation of market-based assets (e.g., customer satisfaction), product-market performance (e.g., market share), accounting performance (e.g., return on assets), and financial-market performance (e.g., stock returns). The course provides an overview of this literature, both from a conceptual/model-based perspective and from an empirical point of view. After having attended the course, students should be able to:

  • Understand central concepts of marketing strategy performance research and be able to establish links between these concepts;
  • Understand the basics of market response modeling and recognize the relevance of model specification for the validity of empirical estimation results;
  • Understand, categorize, and criticize high-quality (“A+”) articles within the research field;
  • Know key data analysis methods within the research field including their scope of application as well as their limitations and conduct first own analyses using standard software (R);
  • Develop relevant and interesting research questions with a potential for a high-quality publication.


July 10-13, 2023


Fritz Thyssen Stiftung, Apostelnkloster 13-15, 50672 Köln





Click for information on fees, payment and registration,

or email us:


Registration Deadline: June 11th, 2023

VHB ProDok Kurs

Gender, Diversity, and Inclusion Research

The course aims to introduce students to the leading concepts and current discussions in gender, diversity, and inclusion research with a particular focus on those that are shaped by and relevant to the contemporary societal changes, developments, and global challenges. The course is structured in two blocks. In the first block (in June, online) students will be introduced to relevant concepts, theories, management practices, and ongoing debates in this field of study. Based on this and students’ preparation during the summer months, students will present their insights and (if applicable) their research ideas in the second block (in September, in person in Berlin).

Upon successful completion of the course, students will:

  • Acquire knowledge of past and current issues addressed in gender, diversity, and inclusion (GDI) studies from varying research paradigms;
  • Develop an understanding of how GDI research can address societal changes, developments, and challenges;
  • Be familiar with the latest evidence-based knowledge on how individuals, teams/groups, structure/context, and organizational policies/practices influence individual inclusion-exclusion experiences and behaviors in organizations;
  • Advance their reflective and critical thinking skills in analyzing the role of organizational practices for GDI at the workplace;


June 12-13, 2023, 10am – 5pm: online (Zoom)
September 25-26, 2023, 10am – 5pm: Berlin (Harnack-Haus, Berlin-Dahlem, Ihnestr. 16-20)


Online / Berlin

Course Language:

German or English (depending on participants)



Click for information on fees, payment and registration,
or email us:

Participation fee:

Non-member: 610,00 Euro
VHB-member: 490,00 Euro

Registration Deadline: 14. Mai 2023

VHB ProDok Kurs

Advanced Topics in Asset Pricing and Capital Market Research

Starting from a solid theoretical foundation, this course provides students with an understanding of important empirical methods and their application in asset pricing. It covers both the classical approaches based on Fama and MacBeth (1973) and Black, Jensen and Scholes (1972) – which are still widely used in current research – and GMM-based estimation methods. Furthermore, it shows how machine learning approaches can be meaningfully incorporated into modern asset pricing.

The course intends to enable students to plan and carry out empirical research in asset pricing on their own and prepares for an empirical PhD thesis in this area of finance.


03. – 06. Juli 2023


MLP Campus
Alte Heerstraße 40
69168 Wiesloch




Prof. Dr. Joachim Grammig, University of Tübingen

Prof. Dr. Erik Theissen, University of Mannheim

Dr. Jantje Sönksen, University of Tübingen


Click for information on fees, payment and registration,
or email us:

Registration Deadline: 4. Juni 2023

VHB ProDok Kurs

Choice-Based Optimization

Summary and study goals

Demand is an important quantity in many optimization problems such as revenue management and supply chain management. Demand usually depends on “supply” (price and availability of products, f. e.), which in turn is decided on in the optimization model. Hence, demand is endogenous to the optimization problem. Choice-based optimization (CBO) merges discrete choice models with math programs. Discrete choice models (DCM) have been applied by both practitioners and researchers for more than four decades in various fields. DCM describe the choice probabilities of individuals selecting an alternative from a set of available alternatives. CBO determines (i) the availability of the alternatives and/or (ii) the attributes of the alternatives, i.e., the decision variables determine the availability of alternatives and/or the shape of the attributes. We present CBO applications to location planning, supply chain management, assortment and revenue management.

Course Content

Students will learn how to develop and use predictive models (discrete choice models) in the software R and how to introduce such models in mathematical models for decision-making (i.e., mixed integer programs) to consider demand as an auxiliary variable. The models will be implemented in a modeling environment (GAMS). Case studies will be used for practicing purposes.

Date of Event

10. – 13. Juli 2023


SlowDown Travemünde
Priwallpromenade 20
23570 Lübeck-Travemünde


Univ.-Prof. Dr. habil. Sven Müller
RWTH Aachen University


Click for information on fees, payment and registration,
or email us:

Registration Deadline: 7. Mai 2023

VHB ProDok Kurs

Meta-Analysis for Management Research

Abstract and Learning Objectives

In all disciplines within management research, numerous relationships (effects of some X on a specific Y) have been studied multiple times, and summarizing the existing empirical findings may result in an important scientific contribution. For example, one could determine the overall effect of a particular marketing instrument (price, advertising, etc.) on sales and whether the effect depends on market characteristics, study design, or other moderators. Meta-analysis encompasses a broad set of methods to conduct a systematic, quantitative review of the literature in order to derive empirical generalizations. As such, conducting a meta-analysis is an excellent project for a PhD student or other (junior) researcher having to review the literature on a particular topic.

This workshop will deal with methods for conducting a meta-analysis. The purpose is to train the participants to conduct and publish a high-quality scientific meta-analysis within the broad field of management research. The seminar will cover the entire meta-analysis research process, from problem formulation, literature search, coding of the effects, analysis, to reporting and publishing the findings.

The emphasis is on knowledge and skills needed to conduct a meta-analysis, not only on the statistical details. All steps of the meta-analysis process (including the statistical analyses) will be demonstrated and practiced in assignments during the workshop. In addition, all topics will be illustrated by means of actual meta-analysis examples. Participants will be informed about relevant literature (textbooks and journal articles) and software supporting meta-analysis projects. In particular, most analyses will be demonstrated using R; in particular the package metafor.


June 26-29, 2023


Gästehaus der Universität
28199 Bremen





Prof. Dr. Tammo H.A. Bijmolt, University of Groningen


Click for information on fees, payment and registration.
or email us:

Registration Deadline:

May 28, 2023

PhD Course SOEP on Campus – HSU Hamburg

SOEP On Campus

Course Outline:

This workshop offers a short hands-on introduction to the data of the Socio-economic panel study. Participants will be introduced to the content of the study, its data-structure, sample selection and weighting strategy and they will be provided with an overview over the study documentation.  The entire process from identifying and finding variables containing specific information in the dataset to the creation of the final dataset for analysis and first empirical investigations will be discussed. (Participants who already have access to the data via their home-institutions will be able to practice hands-on.) All hands-on problems will be exercised jointly as well. This practical part of the workshop requires familiarity with methods of empirical analysis and advanced programming skills in STATA. An overview of the required STATA skills can be found here (PDF, 274.09 KB)


Dr. Sandra Bohmann, DIW (Deutsche Institut für Wirtschaftsforschung), Berlin


The course takes place on the campus of Helmut-Schmidt-University, Hamburg.

20. April 2023

12:30 – 15:00 Inhalte und Struktur des SOEP
15:00 – 15:15 Pause
15:15 – 16:15 Datenstruktur und Aufbereitungshilfen
16:15 – 16:30 Pause
16:30 – 18:00 Hands On I: Aufbereiten eines Längschnittdatensatzes

21. April 2023

09:30 – 11:00 Ziehungsdesign und Gewichtung
11:00 – 12:30: Hands-On II: Gewichtung
12:30 – 13:30: Mittagspause
13:30 – 14:30: Individuum in Kontext
14:30 – 15:00: Pause
15:00 – 17:00: Hands-On III: Multi-Actor Designs


If you want to register for the course, please send an email to

The maximum number of participants is 26.


ReMaT – research management training for early-career researchers

ReMaT is an intensive, interactive workshop, providing an introduction to a number of key topics relating to research management including project management, grant acquisition, and science and technology related entrepreneurship. ReMaT is especially tailored to meet the needs of early-stage researchers especially from the 2nd year of PhD studies onwards, but is also suitable for others involved in research, or in directing research. ReMaT delivers hands-on practical training in an intensive, yet effective workshop form over two days. There is a strong emphasis on European networking in the way the workshop is delivered: we encourage participation from many different countries and disciplines.
Target group:
Early-stage researchers, e.g. PhD candidates or postdocs

More information and registration

Europa-Universität: Blog your Science – Bloggen fuer Nachwuchswissenschaftler*innen (09./10.02.2023)

Programme of Study: Qualification Programme of early stage researchers

Lecturer: Susanne Geu

Date: 9th February 2023, 2 pm-6 pm, 10th February 9 am-1pm

Language of instruction: German

Registration: can be done via email to

Contents: Online sichtbar werden Sie mit guter Wissenschaftskommunikation! Der Workshop thematisiert die folgenden Aspekte und liefert die Grundlagen wissenschaftlichen Bloggens und guter Wissenschaftskommunikation über unterschiedliche Sociale Kanäle. Themen: Abgrenzung zum Schreiben wissenschaftlicher Artikel, Kernbotschaften des eigenen Forschungsthemas entwickeln und formulieren, Storytelling und die Neugier auf ein Thema wecken, Merkmale guter Blogtexte, Best Practice-Beispiele Wissenschaftsblogs, Social-Media-Marketing von Blogposts via Twitter, Instagram, LinkedIn etc., Analyse von erfolgreichen Blogbeiträgen verschiedener Wissenschaftsblogs, Entwicklung von Blogthemen und Blogüberschriften für das eigene Forschungsthema: Schreibübung für den Einstieg in eigeneBlogartikel, Peer-Review bereits vorhandener Blogartikel.