Category Archives: VHB

VHB ProDok-Kurs “Empirical Corporate Finance”

Empirical Corporate Finance

The course is intended as an introduction to research in empirical corporate finance and covers both corporate finance topics as well as methods with a strong emphasis on endogeneity and identification. The general objective of the course is to present some of the most influential work in corporate finance. We will put a particular emphasis on current research, which uses state-of–the–art empirical methods. This course will provide students with a toolbox and working knowledge of cross-sectional and panel data empirical methods for use in corporate finance research. The course also aims to encourage students to explore interesting research questions in corporate finance. Finally, students will learn how to think about empirical research (questions) critically.

Date of event:

September 3 – September 6, 2021

Location:

University of Münster
School of Business and Economics
Universitätsstr. 14- 16
48143 Münster

Note that part of the course or the entire course may switch to an online class in case the coronavirus situation does not allow physical classes or if travel restrictions apply.

Lecturer:

Prof. Dr. Christoph Schneider

University of Münster

 

Prof. Dr. Markus Schmid

Universität St. Gallen

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Registration Deadline: August 1, 2021

VHB ProDok-Kurs “Longitudinal Data Analysis: Event History Models”

Longitudinal Data Analysis: Event History Models

The life course of organizations as well as individuals is characterized by a succession of important events. Organizations change their strategies, their structure, their leadership etc. and might cease to exist at some point in time. Individuals move from one job to another, climb up the career ladder, or get fired. These events indicate transitions from a certain origin state, e.g. an organization before a change of the CEO, to a certain destination state, here: the same organization with a new CEO. The best empirical tool for the analysis of these transitions are techniques of event history analysis. These methods, which belong to the wider class of longitudinal data analysis, are tremendously important in management research. An impressive amount of studies in this field addresses research questions, which are related to transitions from one state to another one.

This course aims at providing students with the most relevant techniques of event history analysis. At the end of this course, students should be able to understand the theoretical concepts of event history analysis as well as to apply these methods by themselves.

Date:

September 7-10, 2021

Location:

vorausichtlich München

Language:

English

Lecturer:

Prof. Dr. Nikolaus Beck
Università della Svizzera Italiana

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline: 2. August 2021

VHB ProDok-Kurs Quantitative and Qualitative Content Analysis

Quantitative and Qualitative Content Analysis

This course addresses young scientists of business administration who want to use quantitative or qualitative content analysis in their research. The main objective of this course is to provide participants with methodological basics and further knowledge in content analysis. After attending the course, the participants are able to:

  • identify research questions that are suitable for qualitative and quantitative content analysis;
  • understand the methodical approach of data collection and -analysis of quantitative and qualitative content analysis as well as transfer it for individual research projects;
  • identify, analyze, and deal with core problems during the planning, implementation, analysis and paper writing phase;
  • assess the quality of content analysis based on quality characteristics.

Date:

August 30-31 and September 06-07, 2021

Location:

ONLINE COURSE

Language:

English

Lecturer:

Prof. Dr. Josip Kotlar (Politecnico di Milano School of Management, Italy)

https://www.som.polimi.it/professor/josip-kotlar/

Registration:

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or email us: prodok@vhbonline.org.

Registration deadline: August 1, 2021

VHB ProDok Kurs “Qualitative Research Methods”

Qualitative Research Methods

Date: 21.-24.09.2021
Processes and Methods of Qualitative and Mixed Method Research

Grundlegendes Ziel dieses Kurses ist es, den Teilnehmern Kenntnisse über den Prozess und die Methoden qualitativer Forschungsdesigns zu vermitteln und die Eignung solcher Designs für konkrete Problemstellungen der Teilnehmer zu diskutieren (Werkstatt-Prinzip).

  • Grundlagen und spezifische Merkmale qualitativer Forschung
  • die Indikation qualitativer Forschung und die Rolle der Wissenschaftstheorie
  • der qualitative Forschungsprozess und der Einfluss von Theorien
  • die Erhebung qualitativer Daten
  • die Auswertung qualitativer Daten: Grounded Theory, Ethnografie, Qualitative Heuristik, Diskursanalyse, Sequenzanalyse, Qualitative Inhaltsanalyse
  • Gütekriterien und Geltungsbegründung qualitativer Befunde
  • Methodenintegrative Designs (Mixed Methods)
Ort:

Technische Universität Hamburg
Am Schwarzenberg – Campus 1 (Gebäude A)
21073 Hamburg

Sprache:

Deutsch

Referenten:

Prof. Dr. Thomas Wrona

Institut für Strategisches & Internationales Management, Technische Universität Hamburg
http://www.tuhh.de/isim

Prof. Dr. Philipp Mayring
Institut für Psychologie der Alpen-Adria-Universität Klagenfurt;
https://philipp.mayring.at/

Anmeldung:

Um einen Überblick über die Höhe der Teilnahmegebühr zu erhalten und um sich anzumelden, nutzen Sie bitte diesen Link: http://vhbonline.org/veranstaltungen/prodok/anmeldung/

Sie können außerdem eine Email prodok@vhbonline.org senden.

 

Anmeldefrist: 20. Juni 2021

VHB ProDok Kurs “Foundational Theories of Strategic Management Research”

Foundational Theories of Strategic Management Research

Date: 19.07.-22.07.2021
Abstract:

The main objective of the course is to familiarize doctoral students with the basic assumptions, concepts and theories underlying the field. In essence, we want to help doctoral students to become independent scholars who are knowledgeable on the major theories in the field of strategy.

We typically start with reading the seminal work on the topic, followed by examining several recent empirical applications of the theory. The course is comprehensive, encompassing the following domains: Overview of the field of Strategic Management, Industrial Organization Approaches to Strategy, Resource-based View Approaches to Strategy, Transaction Cost Economics and Vertical Integration, Real Options and Sequential Decision Making, Principal-Agent Theory and Corporate Governance, Top Executives and the Upper-Echelons Perspective, the Governance Performance Relationship.

Location:

Freie Universität Berlin

Course Language:

English

Lecturer:

Prof. Michael J. Leiblein, PhD,

Ohio State University

Freie Universität Berlin

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline: 20. Juni 2021

VHB ProDok Kurs “Choice-Based Optimization”

Choice-Based Optimization

Date: 19.07.-22.07.2021
Abstract:

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.

Location:

DIGITAL COURSE
The course will be held online only. The lecturers will give presentations about the theoretical contents. Active participation is compulsory.

Lecturer:

Univ.-Prof. Dr. habil. Knut Haase
Universität Hamburg
www.bwl.uni-hamburg.de/vw/personen/prof-knut-haase

Univ.-Prof. Dr. habil. Sven Müller

Otto-von-Guericke-Universität Magdeburg
https://www.om.ovgu.de/

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration Deadline: 20. Juni 2021

VHB ProDok Kurs “Marketing Strategy Performance: Theory, Models, and Empirical Applications”

Marketing Strategy Performance: Theory, Models and Empirical Applications

Date: 05.-08.07.2021
Abstract:

Against the background of increasing pressure from the capital market and major corporate trends such as digitization, marketing managers are more and more forced to demonstrate the performance and value relevance of their decisions. Marketing scholars have responded to this development and produced numerous articles that relate marketing decisions 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 aims at providing 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.
Location:

ONLINE

Language:

English

Lecturer:
Prof. Dr. Marc Fischer (Universität zu Köln)
Dr. Alexander Edeling (Universität zu Köln)
Prof. Dr. Simone Wies (Goethe Universität Frankfurt am Main)
Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

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

Registration Deadline: June 6th, 2021

VHB ProDok Kurs Simulation Modelling für Business Research

Simulation Modelling for Business Research

Date:

March, 1.-11., 2021

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

Abstract:

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.

Location:

DIGITAL COURSE

Course Language:

English

Lecturer:

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

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline: 7. Februar 2021

VHB ProDok Kurs Stochastic Models

 Stochastic Models

Date:

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.

Abstract:

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.

Location:

ONLINE

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

Lecturers:

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

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

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

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.

Datum:

22. bis 25. März 2021

Ort:

ONLINE
Sprache:

Deutsch

Referent*innen:
Anmeldung:

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Anmeldefrist: 21. Februar 2021