Author Archives: meisterc

VHB ProDok Kurs Simulation Modelling für Business Research

Simulation Modelling for Business Research


March, 1.-11., 2021

face to face time: March, 1., 4., 8., 11.:


Business research increasingly considers wicked problems and complex dynamic systems. Analytical models of such problems and systems quickly become untraceable and unsolvable. Given increasing computational power, simulation models provide an alternative tool. They can fuel studies tracing the long-term evolution of systems and comparing the outcomes of alternative scenarios. However, successfully applying simulation modelling for business research requires expertise on applicable simulation paradigms, approaches to model validation and the analysis of stochastic results.



Course Language:



Prof. Dr. Catherine Cleophas, Christian-Albrechts-Universität zu Kiel


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Registration Deadline: 7. Februar 2021

VHB ProDok Kurs Stochastic Models

 Stochastic Models


Online-Course: 15.3.2021 – 1.4.2021

The course will be offered in electronic form. Participants get screencasts and exercises to study the different topics themselves. Additionally, virtual meetings are organized during the course to discuss the different topics and to support the participants.


Many real life system are subject to uncertainty and should therefore be modelled with stochastic models. In this course we focus on the theory and the application of three different classes of stochastic models:  Discrete Time Markov Chains,  Continuous Time Markov Chains, and Markov Decision Processes. The students should gain knowledge about these models such that they are able to construct these models and apply them to solve real life problems. For illustration we use among others models of inventory systems, manufacturing systems, maintenance systems and queuing systems. We show how formulas for performance measures can be derived and how they can be computed. Further, the students learn numerical methods to obtain solutions. Additionally, we discuss methods to  derive structural results and to obtain optimal policies.



Face to Face time:

The course starts with an introductory session on 15.3.2021 10.00-11.00

Regular virtual meetings take place at the following dates and times
17.3.2021, 16.00-18.00
19.3.2021 16.00-18.00
22.3.2021 16.00-18.00
24.3.2021 16.00-18.00
26.3.2021 16.00-18.00
29.3.2021 16.00-18.00

During the last meeting each student has to give a short presentation 1.4.2021, 10.00-18.00


Prof. Dr. Gudrun P Kiesmüller, TUM Campus Heilbronn, TU München


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Bitte beachten Sie, dass sich die Teilnahmegebühr für alle digitalen Kurse um 160 € reduziert und sich somit auf 410 € für VHB-Mitglieder bzw. 530 € für Externe beläuft.

Registration Deadline: February 14, 2021

PhD Course Econometrics


Block course


March 1st – March 3rd, 2021


Zoom (Link will be provided on the course website)

Course instructor:

Professor Martin Spindler (UHH)

Course value:

2 SWS or 4 LP

Course overview:

The main goal of this course is to give an introduction to causal inference, and if time allows to recent developments, in particular on the use of Machine Learning Methods for Causal Inference. Handouts of the slides will be provided during the course. The target audience are empirical researcher / PhD students who want to apply those methods for their research.


1) Introduction to Causal Inference / Basic Framework

2) Methods for Causal Inference (Diff-in-Diff, IV, Propensity Score Matching, Randomized Control Trials, …)

3) Recent Developments

Teaching language:


Student evaluation:

presentation of a recent paper in a blocked session (Summer Term2021) or presentation / written summary of a research project / idea


not required

VHB-ProDok Kurs Theoretical Perspectives On Corporate Social Responsibility (CSR)

Theoretical Perspectives on Corporate Social Responsibility (CSR)

Datum: 22.03. – 25.03.2021

Inhalt und Ziele:

Inhalt des 4-tägigen Workshops sind die Diskussion und das Entwickeln eines gemeinsamen Verständnisses über grundlegende theoretische Ansätze in der CSR-Forschung. Dies soll helfen, den Teilnehmern nicht nur ein fundiertes Verständnis der Forschung zu vermitteln, sondern auch, den State-of-the-Art der Literatur und aufkommende „hot topics“ mit relevanten Forschungsfragen zu verknüpfen. Der Workshop beinhaltet thematische Diskussionen zu verschiedenen Themenfeldern sowie themenübergreifende Inputs durch die Workshopleiter/in z.B. zum Publikationsprozess in der CSR Forschung, Karriereplanung, sowie Einbeziehung von Praktikern in die Forschung.

Der ProDok-Kurs CSR wendet sich in erster Linie an NachwuchswissenschaftlerInnen der Betriebswirtschaftslehre, die in ihrer Forschung einen Schwerpunkt auf die Bereiche CSR, unternehmerische Nachhaltigkeit sowie das grundlegende Verhältnis von Wirtschaft und Gesellschaft setzen.


22. bis 25. März 2021





Um einen Überblick über die Höhe der Teilnahmegebühr zu erhalten und um sich anzumelden, nutzen Sie bitte diesen Link: Anmeldung

Interessierte können sich per Email an anmelden.

Anmeldefrist: 21. Februar 2021

VHB ProDok Kurs Design Science

Design Science

Date: 22.02. – 05.03.2021

Abstract and Learning Objectives

Design Science Research (DSR) is a promising research paradigm that intends to generate knowledge on the design of innovative solutions to real-world problems. As such, DSR is specifically useful in contributing to the solution of societally and practically relevant challenges. At the same time, matured methodological foundations are available today, specifically supporting publishing DSR research both at conferences and top-tier journals.

This course gives an introduction to Design Science Research (DSR). It focuses on planning and conducting design science research on Ph.D. level. It is intended to provide state-of-the art methodological competences for all Ph.D. students in business whose research is not solely descriptive/explanatory, but also comprises components where artefacts are purposefully designed and evaluated.

While Design Science Research is very common in Information Systems research, purposeful artefact design and evaluation are found in many other business research fields like, e.g., General Management, Operations Management/Management Science, Accounting/Controlling, Business Education, or Marketing. Although Design Science is often conducted implicitly, the methodological discourse in the Information Systems has led to a high level of reflection and to the availability of a large number of reference publications and cases, so that examples and cases will often originate from this domain. It should however be noted that Design Science as a paradigm is applicable and is used in nearly all fields of business research. As a consequence, this class is not only part of the Information Systems ProDok curriculum, but intentionally being positioned as cross-domain class.

The goal of the course is to provide Ph.D. students with insights and capabilities that enable them to plan and conduct independent Design Science research. To achieve this goal, students will engage in a number of activities in preparation and during this four-day course, including preparatory readings, lectures, presentations, project work, and in-class discussions. The course format offers an interactive learning experience and the unique opportunity to obtain individualized feedback from leading IS researchers as well as develop preliminary research designs for their own Ph.D. projects.


22.2. bis 05.03.2021
face to face time: Tue, Thu, Mo, Wed, Fr


offline and online




Prof. Dr. Jan vom Brocke
University of Liechtenstein


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As this course is offered as an digital course, the participation fee is reduced by 160 Euro.

Registration Deadline: January 24, 2021

VHB ProDok Kurs zu Qualitativen Methoden

Qualitative Research Methods

Date: 8. – 11. March 2021

This course is designed for doctorate students in business administration who want to use qualitative methods in their research. The basic goal of this course is to provide participants with the methodological foundations and advanced knowledge in qualitative research in business. After attending the course, participants should be able to

  • understand the philosophical and methodological foundations of qualitative research and to classify, differentiate and choose different qualitative research methods;
  • assess goals and purposes, as well as strengths and weaknesses of qualitative research;
  • understand and raise key questions for planning and preparing a qualitative research design, data collection and analysis;
  • identify, analyze and manage core issues during the planning, execution, analysis and writing of qualitative studies;
  • to differentiate rigourous from non-rigourous qualitative management research

Location: ONLINE

Course Language: German / English

Prof. Dr. Jana Costas,Europa-Universität Viadrina Frankfurt (Oder)
Prof. Dr. Markus Reihlen,Leuphana Universität Lüneburg

Anmeldung bis zum 07. Februar 2021 per E-Mail an

Nähere Informationen und Daten zur Auslastung hier.