Category Archives: VHB

VHB-ProDok: Design Science (22.-25.08.2017)

Abstract and Learning Objectives
This class 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. While 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 business research fields. 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 class 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 three-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.

Date of Event: 22. – 25. August 2017 

Location: Universität St. Gallen 

Lecturer:
Prof. Dr. Jan vom Brocke (Universität Liechtenstein)
Prof. Dr. Robert Winter (Universität St. Gallen)  

Registration: The deadline for registration is 25 July 2017. Please click on the link to open the registration form: http://vhbonline.org/veranstaltungen/prodok/anmeldung/anmeldeformular/ or send an email to prodok(at)vhbonline(dot)org.

Further information

VHB-ProDok: Advanced Topics in Asset Pricing and Capital Market Research (16.-19.08.2017)

Content

Part I (Erik Theissen)
I.1 Theory Brush Up
I.2 Risk and Return
I.3 Efficient Markets
I.4 Empirical Tests of Portfolio Theory and Individual Investor Behavior
I.5 Tests of the CAPM
I.6 Testing the APT
I.7 Anomalies or Priced Risk Factors?
I.7 Further Topics

Part II (Joachim Grammig)
II.1 Generalized Method of Moments (GMM) and the Basic Asset Pricing Equation
II.2 The Canonical Consumption-CAPM (C-CAPM): Theory, Estimation, and Empirical Performance
II.3 Recent variations of the C-CAPM: Habit, Long-Run-Risk, Rare Disasters
II.4 Conditioning Information: Scaled Returns and Scaled Factors
II.5 Relationship Between Regression- and GMM-based Tests of Asset Pricing Models (Link to First Part)
II.6 Empirical Tools (the use of  STATA/EVIEWS/MATLAB)  

if time permits
II.7      Econometric Theory (Extremum Estimators)

Date of Event: 16. – 19. August 2017

Location: House of Finance on Campus Westend of Goethe University Frankfurt, Theodor-W.-Adorno-Platz 3, 60323 Frankfurt am Main

Lecturer:
Prof. Dr. Joachim Grammig (Eberhard Karls Universität Tübingen)
Prof. Dr. Erik Theissen (Universität Mannheim) 

Registration: The deadline for registration is  16 June 2017. Please click on the link to open the registration form: http://vhbonline.org/veranstaltungen/prodok/anmeldung/anmeldeformular/ or send an email to prodok(at)vhbonline(dot)org.

Further information

VHB-ProDok: Advanced Topics in Information Systems Theory (18.-21.07.2017)

Abstract and Learning Objectives
The generation of knowledge can be seen as one of the key contributions of any science. Consequently, many scholars emphasize the centrality of theories for any scientific endeavor – a thought widely reflected in many disciplines from the natural to the social sciences. While a corresponding attention to theoretical work has been at the heart of the Information Systems (IS) discipline for a long time, the focus on theoretical debates and genuine conceptual contributions has been picking up recently. This is reflected by a number of journal sections and conference tracks dedicated to advancing theory and theorizing in IS research just as much as in many authors’ experiences during the reviews of their work.

The course “Advanced Topics in Information Systems Theory” invites participants to join the ongoing discourse on theories and theorizing in the Business and Information Systems Engineering (BISE) and Information Systems (IS) research communities. It is designed to help participants build and extend their understanding of the nature and role of theory in BISE and IS research. Through discussions and analyses of current theoretical developments in the BISE and IS discipline and some of its main reference disciplines, participants will engage with theory and advance their skills of building their own theoretical contributions.

The course aims to achieve the following high-level learning objectives

  1. Build a foundational understanding of what theory is and what role it plays in research
  2. Develop basic theorizing skills and be familiar with extant theorizing strategies
  3. Understand strategies to develop and publish own theoretical contributions  

Overall, the course is designed to help students advance their understanding of theory and theorizing in the BISE / IS discipline and enhance their theorizing skills related to their own research and thesis work.

Be advised that the course is not intended to be a comprehensive or normative prescription of how to engage with theory and theorizing in research. It is rather aimed at encouraging and empowering young scholars to carefully pay attention to their theoretical contribution and their engagement with the extant knowledge in the field. This explicitly includes a critical reflection on the current state of theory in the IS and BISE field in order to help advance the current debates on the nature and role of theory and theorizing.

Date of Event: 18. – 21. of July 2017  

Location: Hamburg

Lecturer:
Dr. Benjamin Mueller, Department of Innovation Management and Strategy, University of Groningen: http://www.rug.nl/staff/b.mueller/

Prof. Dorothy Leidner, PhD, Hankamer School of Business, Baylor University: http://business.baylor.edu/Dorothy_Leidner/  

Registration: Please click on the link to open the registration form: http://vhbonline.org/veranstaltungen/prodok/anmeldung/anmeldeformular/ or send an email to prodok(at)vhbonline(dot)org.

Further information

VHB-ProDok: Simulation Modeling for Business Research (10.-13.04.2017)

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 modeling for business research requires expertise on applicable simulation paradigms, approaches to model validation and the analysis of stochastic results.

Date of Event:
10. – 13. April 2017

Location:
RWTH Aachen
Seminarraum 3020|03.3 – Se3
Kackertstraße 15
52072 Aachen

Lecturer:
Prof. Dr. Catherine Cleophas (RWTH Aachen, School of Business and Economics)

Registration:

The deadline for registration is 30 March 2017.
Please click on the link to open the registration form: http://vhbonline.org/veranstaltungen/doktorandenprogramm/anmeldung/anmeldeformular/ or send an email to doktorandenprogramm@vhbonline.org.

VHB ProDok: “Qualitative Research Methods” (10.-13.10.2017)

Vom 10. bis 13. Oktober 2017 findet an der TU Hamburg ein VHB-ProDok Kurs zum Thema “Qualitative Research Methods” statt. Der Kurs wird von Prof. Dr. Thomas Wrona (Institut für Strategisches & Internationales Management, Technische Universität Hamburg) und Prof. Dr. Jana Costas (Personal, Arbeit & Management, Wirtschaftswissenschaftliche Fakultät, Europa-Universität Viadrina Frankfurt (Oder)) durchgeführt. Die Zahl der Teilnehmer ist auf 20 begrenzt. Die Teilnahmegebühr beträgt 600,- Euro. Anmeldungen werden bis zum 2. Juni 2017 an prodok@vhbonline.org erbeten.

Der Kurs wird vom Doktorandenprogramm des Verbandes der Hochschullehrer für Betriebswirtschaft e.V. angeboten und hat zum Ziel, den Teilnehmern Kenntnisse über den Prozess und die Methoden qualitativer Furschungsdesigns zu vermitteln und die Eignung solcher Designs für konkrete Problemstellungen der Teilnehmer zu diskutieren.

Weitere Informationen finden Sie hier.

VHB-ProDok: “Philosophy of Science” (07.-10.11.2017)

Vom 7. bis 10. November 2017 findet unter der Leitung von Prof. Dr. Rolf Brühl (Lehrstuhl für Unternehmensethik und Controlling, ESCP Europe Wirtschaftshochschule Berlin) und Prof. Dr. Thomas Wrona (Institut für Strategisches & Internationales Management, Technische Universität Hamburg) ein VHB-ProDok Kurs zum Thema “Philosophy of Science – Foundations and Implications for Research Designs and Research Methods” statt. Ziel des Kurses ist es, die Teilnehmer mit den wesentlichen wissenschaftstheoretischen Strömungen und ihren für die Wissenschaft wesentlichen ontologischen und epistemologischen Positionen vertraut zu machen.

Anmeldungen erfolgen über: http://vhbonline.org/veranstaltungen/prodok/anmeldung/anmeldeformular/
oder Sie senden eine Email an prodok@vhbonline.org

Die Anmeldefrist endet am 31.07.2017. Weitere Informationen finden Sie hier.

VHB ProDok: Simulation Modeling for Business Research

Institution: VHB ProDok

Lecturer: Prof. Dr. Catherine Cleophas (RWTH Aachen, School of Business and Economics)

Date: 10. – 13. April 2017

Place: Aachen

Registration: Please click on the link to open the registration form or send an email to doktorandenprogramm(at)vhbonline(dot)org.

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.

Further information

VHB ProDok: Advanced Topics in Organization Theory

Institution: VHB ProDok

Lecturer: Univ.-Prof. Dr. Elke Schüßler (Johannes Kepler Universität Linz) & Prof. Dr. Jörg Sydow (Freie Universität Berlin)

Date: 4. – 7. April 2017

Place: Berlin

Registration: Please click on the link to open the registration form or send an email to doktorandenprogramm(at)vhbonline(dot)org.

Abstract:
This doctoral seminar exposes students to foundational and current research in organization theory. It specifically focuses on macro-organizational theory, derived largely from sociological and economic theoretical traditions. This type of organizational theory is interested in the interaction of organizational structures and processes with the wider political, economic, societal, or natural environment. Among others, it tries to explain the emergence of organizational forms and organizational survival, resource acquisition and utilization, interaction between organizations, the perception of organizations in society, or organizational responsibility. Instead of giving a comprehensive historical introduction into the “classics” of organization theory, this course will focus on current advancements of core theoretical concepts such as sensemaking, institutions, routines or networks as well as on more recent theoretical streams such as the ‘strong’ process view of organization or the communicative constitution of organization. Assessment will mainly be based on reading assignments and participation.

Further information

VHB ProDok: Probabilistic Models and Stochastic Programming

Institution: VHB ProDok

Lecturer: Prof. Dr. Stefan Helber (Leibniz Universität Hannover)

Date: 27. – 30. März 2017

Place: Hannover

Registration: Please click on the link to open the registration form or send an email to doktorandenprogramm(at)vhbonline(dot)org.

Abstract:

The course covers the basic elements of i) Markovian models of stochastic systems and ii) Markovian decision processes plus some basic elements of inventory theory. In this course, participants will learn how to construct and use these particular classes of probabilistic models of systems and decision processes. The defining feature of the Markovian models is the memoryless property of the underlying stochastic processes. It essentially states that the future behavior of a system depends only on its current state, but not its previous history. The participants will learn why and how this often makes it possible to determine the probabilities of the different system states and how these probabilities can then be used to determine performance measures of the system or to assign economic values to decisions made in an uncertain environment.

Content

We will start by describing the defining features and variants of stochastic processes, focusing on those processes with a discrete state space. We will initially cover Markovian processes in discrete time as their modeling and analysis happens to be straightforward, clear and illustrative. On this basis, we will then address Markovian processes in continuous time, the so-called Markov Chains. We will describe Poisson processes, the famous memoryless property of the exponential distribution and derive the necessary and sufficient balance equations for the steady-state analysis of Markov Chains in continuous time. The participants will install and use Scilab, an free and open-source software for numerical computation (www.scilab.org), on their machines to perform numerical experiments and solve small exercises.

Based on this foundation, we will then address the analysis of Markovian queuing systems and show how to determine the probability of having a given number of customers or jobs in the system or the queue. After introducing and explaining Little’s Law, we will use it to determine expected waiting or cycle times. Closing this introduction to queuing models, we will briefly explain and demonstrate Kingman’s approximation for the expected waiting time G/G/1 and G/G/N queueing model.

In the next section, we will briefly cover basic elements of the probabilistic analysis of inventory systems. We will introduce the classical newsvendor problem and use it to explain and apply the first order loss function for the case of normally distributed demand.

The next part of the course will be devoted to stochastic (dynamic) programming, also known as stochastic decision processes. Starting with a finite-horizon deterministic setting, we will treat the basic version of Bellman’s recursion equation and explain its usage to determine an optimal course of actions in a multi-stage decision situation. On this foundation, we will next consider the stochastic case of a finite-horizon Markovian Decision Process in discrete time, explain the optimality equations and their solution via the backward induction algorithm. Finally, we will consider the infinite-horizon, continuous time case of discounted Markov decision processes and the value and policy iteration algorithms to determine policies that are optimal in expectation.

On the fourth day, we will consider a linkage between stochastic modeling and optimization by treating two-stage linear programs using scenario techniques. Here we will use the GAMS modeling system to essentially embed a numerical simulation within an (formally deterministic) linear or mixed-integer linear optimization program. We will furthermore discuss either (and preferably) current research projects of the participants that involve probabilistic modeling or (alternatively) some interesting papers showing the methodologies taught in the course.

Further information

VHB ProDok: Qualitative Research Methods

Institution: VHB ProDok

Lecturer: Prof. Dr. Dr. h.c. Georg Schreyögg (Freie Universität Berlin) & Prof. Dr. Jana Costas (Europa-Universität Viadrina, Frankfurt (Oder))

Date: 21. – 24. März 2017

Place:
Harnack-Haus
Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin
http://www.harnackhaus-berlin.mpg.de/

Registration: Kurs ist ausgebucht. Warteliste für spätere Kurse möglich. Bitte nutzen Sie das Anmeldeformular oder senden Sie eine Email an doktorandenprogramm(at)vhbonline(dot)org.

Abstract:
Dieser Kurs wendet sich an NachwuchswissenschaftlerInnen der Betriebswirtschaftslehre, die in ihrer Forschung qualitative Methoden einsetzen wollen. Grundlegendes Ziel dieses Kurses ist es, den Teilnehmern methodische Grundlagen und weitergehende Kenntnisse in der qualitativen Managementforschung zu vermitteln. Nach Besuch des Kurses sind die Teilnehmer in der Lage,

  • methodologische Grundlagen zu verstehen und verschiedene Methoden der qualitativen Forschung zu unterscheiden, einzuordnen und auszuwählen;
  • Ziele und Einsatzzwecke, sowie Stärken und Schwächen qualitativer Forschung einzuschätzen;
  • Schlüsselfragen der Planung und Vorbereitung, des Forschungsdesigns, der Datensammlung und der Analyse zu stellen und zu verstehen;
  • Kernprobleme während der Planung, Durchführung, Analyse und Niederschrift qualitativer Studien zu identifizieren, zu analysieren und mit diesen umzugehen;
  • gute qualitative Managementforschung von schlechter zu unterscheiden.

Further information