Category Archives: VHB

VHB-Pro-Dok: DESIGN SCIENCE in St. Gallen (25.-28.05.2020)

Seit mehreren Jahren bieten Professor Jan  vom Brocke (Universität Liechtenstein) und Professor Robert Winter (Universität St. Gallen) den beliebten Kurs „Design Science” an. In diesem Jahr wird der Kurs vom 25. bis 28 Mai 2020 in St. Gallen stattfinden.

Kursinhalte:
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 incontributing 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.

Anmeldung und weitere Infos:
Interessierte können sich noch bis 12. April 2020 per Email an prodok@vhbonline.org anmelden.

Weitere Informationen zur Anmeldung finden Sie unter https://www.vhbonline.org/veranstaltungen/prodok/anmeldung-teilnahmebedingungen-und-zahlungsmodalitaeten.

Um sich über das ProDok-Angebot zu informieren, folgen Sie bitte diesem Link: http://prodok.org. Für Rückfragen steht Ihnen die Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.

Hier erhalten Sie außerdem das VHB-ProDok Kursverzeichnis 2020.

VHB-Pro-Dok: APPLIED REGRESSION ANALYSIS in Berlin (12.-15.05.2020)

Vom 12. bis 15. Mai 2020 findet wie jedes Jahr der sehr erfolgreiche VHB-ProDok Kurs „Applied Regression Analysis” in Berlin statt.  Durchgeführt wird der Kurs von Professor Georg von Graevenitz (Queen Mary University of London) und Professor Stefan Wagner (ESMT Berlin).

Kursinhalte:
This course will provide participants who have basic skills in statistics and econometrics with an introduction to current core methods used in the analysis of observational, experimental and quasi-experimental data. The methods covered are widely used in  economics and increasingly also required for good publications in top management journals. The aim is to cover theory and selected applications, but more importantly to introduce participants to the use of statistical  software that will allow them to apply the methods discussed in the course to data.

This course covers important methods used in the multivariate  analysis of data. The course revisits basic concepts of the linear regression model and its properties and covers selected advanced topics such as the analysis of duration data and (quasi) experimental designs as well as methods to deal with the problems of endogeneity and sample selection. The theoretical basis of these methods is discussed but the focus of the course is on the application of the methods to data sets. Applications will be studied with the help of data provided by the lecturers and with reference to recent publications.

After the course, participants will…

  • have a basic understanding of the theoretical underpinnings of multiple regression models.
  • be able to apply regression methods to the investigation of economic relationships and processes.
  • understand the econometric methods, approaches, ideas, results and conclusions met in the majority of economic books and articles.
  • be aware of common pitfalls and mistakes to avoid when conducting regression analysis.
  • be able to use the software program STATA to carry out empirical analysis based on regression analysis

Anmeldung und weitere Infos:
Interessierte können sich noch bis 12. April 2020 per Email an prodok@vhbonline.org anmelden.

Weitere Informationen zur Anmeldung finden Sie unter https://www.vhbonline.org/veranstaltungen/prodok/anmeldung-teilnahmebedingungen-und-zahlungsmodalitaeten.

Um sich über das ProDok-Angebot zu informieren, folgen Sie bitte diesem Link: http://prodok.org. Für Rückfragen steht Ihnen die Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.

Hier erhalten Sie außerdem das VHB-ProDok Kursverzeichnis 2020.

VHB-ProDok: Qualitative Research Methods an der TU Hamburg (22.-25. September 2020)

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, Qualitatives Experiment, Qualitative Heuristik, Diskursanalyse, Sequenzanalyse, Qualitative Inhaltsanalyse
– Gütekriterien und Geltungsbegründung qualitativer Befunde
– Methodenintegrative Designs (Mixed Methods)

Datum:
22. – 25. September 2020

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

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/

Den Syllabus finden Sie unter diesem Link: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/1909mue01

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: 29. Juni 2020

VHB ProDok: Applied Regression Analysis (12-15 May 2020)

This course will provide participants who have basic skills in statistics and econometrics with an introduction to current core methods used in the analysis of observational, experimental and quasi-experimental data. The methods covered are widely used in economics and increasingly also required for good publications in top management journals.

The aim is to cover theory and selected applications, but more importantly to introduce participants to the use of statistical software that will allow them to apply the methods discussed in the course to data.

This course covers important methods used in the multivariate analysis of data. The course revisits basic concepts of the linear regression model and its properties and covers selected advanced topics such as the analysis of duration data and (quasi) experimental designs as well as methods to deal with the problems of endogeneity and sample selection. The theoretical basis of these methods is discussed but the focus of the course is on the application of the methods to data sets. Applications will be studied with the help of data provided by the lecturers and with reference to recent publications.

After the course, participants will…

  • have a basic understanding of the theoretical underpinnings of multiple regression models.
  • be able to apply regression methods to the investigation of economic relationships and processes.
  • understand the econometric methods, approaches, ideas, results and conclusions met in the majority of economic books and articles.
  • be aware of common pitfalls and mistakes to avoid when conducting regression analysis.
  • be able to use the software program STATA to carry out empirical analysis based on regression analysis.

Date: May 12 – 15, 2020

Location:
ESMT European School of Management and Technology
Room: tbd.
Schlossplatz 1
10178 Berlin
https://www.esmt.org/school-networks/about-esmt/campus/esmt-campus-berlin

Language: English

Lecturers:
Prof. Georg von Graevenitz, Ph.D., Faculty
Queen Mary University of London
http://competitionpolicy.ac.uk/people/faculty/georg-von-graevenitz

Prof. Dr. Stefan Wagner, Faculty
ESMT European School of Management and Technology, Berlin
http://www.esmt.org/eng/faculty-research/stefan-wagner/
stefan.wagner@esmt.org

Registration: Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org. Registration Deadline: 12. April 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2005mue02.

VHB ProDok: Approximate Dynamic Programming for Stochastic and Dynamic Decision Problems (23-26 March 2020)

The 4-day course deals with anticipatory methods for dynamic decision making. It will address the following questions:

  • What are the components of dynamic decision processes and how do they interact?
  • How can dynamic decision processes be modeled mathematically?
  • What methods exist in approximate dynamic programming?
  • How can they be applied to different types of problems?

In this course, we describe the process to approach complex stochastic and dynamic decision problems with advanced ADP-methods. We present the required steps from business problem over MDP to the ADP-solutions in detail and give an overview over the most prominent ADP-methods. We especially focus on offline learning methods known as value function approximations. The theoretical content of this course is accompanied by many illustrative examples from the field of logistics and by a serious gaming application.

Date: March 23 – 26, 2020

Location: Technical University of Braunschweig

Lecturers:
Prof. Dr. Dirk C. Mattfeld
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/mattfeld

Jun.-Prof. Dr. Marlin Ulmer
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/ulmer

Registration: Click for information on fees, payment and registration, or email us: prodok@vhbonline.org. Registration Deadline: 23. February 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003or01.

VHB ProDok: Theoretical Perspectives on Corporate Social Responsibility (CSR) (30. März – 2. April 2020)

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:
30. März – 02. April 2020

Ort:
Mannheim
Raum SO 104

Referent*innen:
Prof. Dr. Laura-Marie Edinger-Schons
Universität Mannheim
https://www.bwl.uni-mannheim.de/schons/

Associate Prof. Dr. Christopher Wickert
Vrije Universiteit Amsterdam
https://research.vu.nl/en/persons/christopher-wickert

Anmeldung: Um einen Überblick über die Höhe der Teilnahmegebühr zu erhalten und um sich anzumelden, nutzen Sie bitte diesen Link: Anmeldung  Sie können außerdem eine Email prodok@vhbonline.org senden.
Anmeldefrist: 1. März 2020

Weitere Informationen

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003mg01.

VHB ProDok: Qualitative Research Methods (10 – 13 March 2020)

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 rigorous from non-rigorous qualitative management research.

Date:
10. – 13. March 2020

Location:
Harnack-Haus
Ihnestraße 16-20
14195 Berlin

Course Language: German / English

Lecturers:
Prof. Dr. Jana Costas
Europa-Universität Viadrina Frankfurt (Oder)

Prof. Dr. Markus Reihlen
Leuphana Universität Lüneburg

Registration:
Click for information on fees, payment and registration, or email us: prodok@vhbonline.org.
Registration deadline: 10 Feburary 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003mue01.

VHB-ProDok-Kurs: „Endogeneity in Applied Empirical Research” vom 9. bis 12. Oktober 2019 in Tübingen

Vom 9. bis 12. Oktober 2019 laden wir Sie herzlich zum Kurs „Endogeneity in Applied Empirical Research” von Professor Dominik Papies (Eberhard Karls Universität Tübingen) ein, der bereits zum dritten Mal sehr erfolgreich in unserem ProDok-Angebot in Tübingen stattfindet.

Abstract
Many empirical research projects that use non-experimental data are struggling with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand). The reason is that the identification of a causal effect hinges on the untestable assumption that the error term of a model is uncorrelated with the independent variables. If this assumption is not met, a model is plagued by endogeneity.

The topic of endogeneity has received considerable attention, and it is probably the most frequently encountered troublemaker in a review process at an academic journal. This course therefore has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation) as well as more recent developments (e.g., Gaussian Copulas). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem.

Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings. After completing this course, students will be able to define and describe endogeneity problems in different empirical settings, they will know how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods.

Anmeldefrist: 8. September 2019

Interessierte können sich für alle Kurse über das elektronische Anmeldeformular https://vhbonline.org/veranstaltungen/prodok/anmeldung/ oder per Email an prodok@vhbonline.org anmelden. Unter dem Link finden Sie außerdem die Informationen zur Anmeldegebühr.

Hier erhalten Sie eine Übersicht über das VHB-ProDok Kursangebot. Alle weiteren Informationen zu VHB-ProDok finden Sie außerdem unter http://prodok.org. Für Rückfragen steht Ihnen Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.

VHB-ProDok-Kurs: „Simulation Modelling for Business Research“ vom 7. bis 10. Oktober 2019 in Kiel

Vom 7. bis 10. Oktober 2019 führt Professorin Catherine Cleophas (Christian-Albrechts-Universität zu Kiel) zum zweiten Mal im ProDok-Angebot den erfolgreichen Kurs „Simulation Modelling for Business Research” in Kiel durch, zu dem wir Sie herzlich einladen.

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.

Anmeldefrist: 8. September 2019

Interessierte können sich für alle Kurse über das elektronische Anmeldeformular https://vhbonline.org/veranstaltungen/prodok/anmeldung/ oder per Email an prodok@vhbonline.org anmelden. Unter dem Link finden Sie außerdem die Informationen zur Anmeldegebühr.

Hier erhalten Sie eine Übersicht über das VHB-ProDok Kursangebot. Alle weiteren Informationen zu VHB-ProDok finden Sie außerdem unter http://prodok.org. Für Rückfragen steht Ihnen Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.

VHB-ProDok: Kurs „Event History Analysis” – 07.-10.10.2019 in München

Vom 7. bis 10. Oktober 2019 führen Professorin Mariaclelia Stefania Di Serio (L’Università Vita-Salute San Raffaele, Milano) und Professor  Nikolaus Beck (Università della Svizzera italiana, Lugano) zum ersten Mal in unserem ProDok-Angebot den Kurs „Event History Analysis” an  der Technischen Universität München durch, zu dem wir Sie herzlich einladen.


Inhalt

Techniques of event history analysis have proven to be one of the most important empirical research tools in management and organizational research. These methods, stemming from demography and medicine, are best suited for the analysis of dynamic processes that are characterized by the occurrence of discrete events, or in other words: for the analysis of transition processes between two different states of existence. The most prominent transition process in organizational research is, of course, the death of organizations. However, also other events during the life course of organizations that can be summarized as organizational change events are subject to the application of event history analysis tools.

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.

The following topics are planned to be addressed in the course:

  • The basic concepts of event history modeling: Duration, censoring,continuous time, discrete time, hazard rate, cumulative hazard rate,density, survivor function
  • Non-parametric methods: e.g. life table estimators, Kaplan-Meier-functions
  • Semi-parametric and parametric models: Exponential models, piecewise constant exponential models, Gompertz-, Weibull-, log-logistic models, Cox-models
  • Time varying covariates and split spells: quantitative and qualitative time varying covariates and splitting, panel data. Different forms of modeling duration dependence
  • Recurring event models – organizational change
  • The application of panel data: Discrete time hazard rate models, comparison with continuous time hazard rate models
  • Unobserved heterogeneity: Fixed effects, stratified Cox-models

Anmeldefrist: 8. September 2019

Interessierte können sich für alle Kurse über das elektronische Anmeldeformular https://vhbonline.org/veranstaltungen/prodok/anmeldung/ oder per Email unter  prodok@vhbonline.org anmelden. Unter dem Link finden Sie außerdem die Informationen zur Anmeldegebühr.

Hier erhalten Sie eine aktuelle Übersicht über unser VHB-ProDok Kursangebot. Alle weiteren Informationen zu VHB-ProDok finden Sie außerdem unter http://prodok.org. Für Rückfragen steht Ihnen VHB-Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.