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

VHB ProDok: Advanced Topics in Marketing Theory

Institution: VHB ProDok

Lecturer: Prof. Dr. Florian von Wangenheim (ETH Zürich) & Dr. Markus Zimmer (ETH Zürich)

Date: 6. – 9. Februar 2017

Place: Zürich

Registration: The deadline for registration is 15 January 2017. Please click on the link to open the registration form or send an email to doktorandenprogramm(at)vhbonline(dot)org.

Abstract:
The course focuses on the theoretical foundations of marketing and marketing research. Its purpose  is to confront students with current theoretical thinking in marketing, and currently used theories for understanding and explaining buyer and customer behavior in response to marketing action. For this, we will also generally discuss Marketing as a scientific field, the role of theory in advancing marketing science, and the development of marketing research over the past decades. Students will work on theory in general as well as some specific relevant marketing theories.

Further information

46th GESIS Spring Seminar: Causal Inference with Observational Data

Date: 06.03 – 24.03.2017

Location: GESIS Location in Cologne. For a list with hotel recommendations, information about Cologne as well as on how to get to GESIS please click here.  

Language of instruction: English

 

Introduction:
The GESIS Spring Seminar (formerly ZA Spring Seminar) has been taking place in Cologne annually for more  than 45 years. It offers three consecutive one-week courses in advanced methods  of quantitative data analysis for Social Scientists. Language of instruction is English.

Week 1 (06.-10.03.2017)

  • Causal Analysis with Panel Data: Potentials and Limitations – Prof. Dr. Michael Windzio, Jun. Prof. Dr. Marco Giesselmann (for further information and registration please click here)

Week 2 (13.-17.03.2017)

  • Structural Equation Models (SEMs)  – Prof. Kenneth Bollen, PhD with Zachary Fisher (for further information and registration please click here)

Week 3 (20.-24.03.2017

  • Potential Outcomes and Treatment Effects: Modern Methods of Causal Inference  – Prof. Dr. Ben Jann, Dr. Rudolf Farys (for further information and registration please click here)

MREV – Call for Papers – Corporate responsibility: In the dilemma between trust and fake?

Seminar at the IUC Dubrovnik (April 3-7, 2017) & Special Issue

Seminar Organizers & Guest Editors:
Simon Fietze, University of Southern Denmark
Wenzel Matiaske, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg (Germany)
Roland Menges, Technical University Clausthal (Germany)

Trust is the currency that creates markets. This is knowledge of the merchants at the latest since modern markets have emerged along the medieval trade routes. Quality and reliability in the business are also building blocks of trust and the assumption of responsibility for the social and ecological consequences of entrepreneurial activity. Whether the latter should be integrated into social and legal relations and norms in the form of voluntary corporate responsibility, has been the subject of economic discussion since the beginnings of the discipline and since the separation of the spheres of economic and moral action in the Scottish moral economy.

Over the past decades, both supra-national organizations such as the UN and the EU have been focusing on soft law – from the global compact through the AA1000 to the Green Paper of the EU Commission – as well as the national states, to promote social and environmental responsibility for companies in the age of globalization. These initiatives have led to lively activities and debates both in the business world and in different scientific disciplines. For companies, it has now become a “fashion” to campaign social and ecological responsibility using the concept of “Corporate Social Responsibility”. This commitment has meanwhile led to the fact that CSR activities should partly contribute to value creation instead of aligning them with corporate objectives and values. Such a development leads to the loss of trust and the assumption of responsibility becomes a “fake”.

Against this backdrop, some of the social and economic observers remained skeptical, advocating tougher legal norms or fiscal implications. Finally, lawyers pointed out that (successful) standardizations often develop not only from the “top”, but also from the “bottom”, i.e. they emerge from the action routines of the economic actors as emergent effects. However, not only the recent scandals – from the ENRON case to the VW case – raise questions about the effectiveness of co-operative self-commitment as well as external control.

Moreover, corporate responsibility is related to the concept of consumer responsibility. Whereas market-optimists believe that reliable changes in consumption patterns rely on responsible individual action, more market-skeptics warn of a counterproductive “privatization of sustainability”.

In this light, this year’s seminar at the IUC Dubrovnik will be on theoretical and empirical contributions to the topic “Corporate responsibility: In the dilemma between trust and fake?” from economic, sociological, (economic) historical and legal perspectives. Possible topics are:

  • Economic and history of ideas cases and questions of corporate responsibility
  • The “pseudo” corporate responsibility
  • Organizational and sociological theories and findings on corporate responsibility
  • Theory and empiricism of the audit
  • Theoretical and empirical studies on consumer responsibility
  • Criminal law considerations for corporate actors
  • Institutional factors of corporate responsibility
  • The trust of social entrepreneurship
  • This is not an exhaustive list.

Deadline
Potential contributors to the seminar at the IUC Dubrovnik are encouraged to submit an abstract of 1-2 pages before February 28th, 2017 electronically via online submission system of Management Revue using ‘IUC Dubrovnik’ as article section: http://www.management-revue.org/submission/

All contributors to the seminar are invited to submit their paper for the special issue of Management Revue. Full papers must be submitted by July 31st, 2017. All contributions will be subject to a double-blind review. Papers invited to a ‘revise and resubmit’ are due October 31st, 2017. Please submit your papers electronically via the online submission system using ‘SI Corporate Responsibility’ as article section.

Hoping to hear from you!
Simon Fietze
Wenzel Matiaske
Roland Menges

Reminder HSU-Doktorandenkurs: Measuring Preferences using Conjoint Analytic Methods and Advanced Compositional Approaches, 01.12.2016

Institution: Helmut-Schmidt-University Hamburg/Syddansk Universitet, Sønderborg (SDU), Denmark

Lecturer: Prof. Martin Meißner, Department of Environmental and Business Economics, SDU

Date: 01.12.2016, 09:00-17:00 (incl. breaks)

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg, Aula-Gebäude, Raum 3

Language of instruction: English

Registration: Non-members of the Helmut-Schmidt-Universität may click here firstly to create an HSU-Ilias-account, and secondly here to join the course.

Contents:
The participants of this course develop a sound understanding of the benefits of using conjoint analytic preferences measurement approaches and alternative advanced compositional approaches. Participants gain practical experience of using conjoint-analytic methods, and develop a better understanding of the value of measuring preferences.

The course starts with introducing the basic concepts behind the measurement of stated preferences, specifically focusing on conjoint analysis. The most often used approaches, i.e. traditional conjoint analysis, adaptive conjoint analysis and choice-based conjoint analysis are introduced. We deliberate on advantages and disadvantages of the approaches and also discuss advanced compositional approaches, like pairwise-comparison based preference measurement and the adaptive self-explicated approach. During the workshop we will further talk about all the important stages of designing a preference measurement study. We pay special attention to the types of research questions that conjoint analysis can answer. We also discuss the most important questions you should answer before setting up your preference measurement/conjoint study: What is the optimal choice of attributes and attribute level? What is a good experimental design? How should I design my survey design and present potential choice scenarios? How do I analyze the results?

Participants will have the opportunity to use Sawtooth Software on their own laptops and build their own conjoint analysis survey during the course. Based on this experience, participants will be able to improve the planning of their own future experiments.

Recommended literature and pre-readings:

  • Bradlow, Eric T. (2005), “Current Issues and a ‘Wish List’ for Conjoint Analysis,” Applied Stochastic Models in Business and Industry, 21 (4-5), 319-323.
  • Hauser, John R. and Vithala Rao (2003), “Conjoint Analysis, Related Modeling, and Applications,” in Advances in Marketing Research: Progress and Prospects, in Marketing Research and Modeling: Progress and Prospects, Wind, Jerry and Paul Green (eds.), New York: Springer, 141-168.
  • Huber, Joel (1997), “What We Have Learned from 20 Years of Conjoint Research: When to Use Self-Explicated, Graded Pairs, Full Profiles or Choice Experiments,” Sawtooth Software Conference Proceedings, Sequim, WA., 243-256.
  • Scholz, Sören W., Martin Meissner, and Reinhold Decker (2010), “Measuring Consumer Preferences for Complex Products: A Compositional Approach Based on Paired Comparisons,” Journal of Marketing Research, 47 (4), 685-698.

Reminder Inside the Editor’s Head: Publizieren in internationalen Fachjournalen

Institution: Helmut-Schmidt-University Hamburg

Lecturer: Dr. Florian Kühn, Institute for International Politics, Helmut Schmidt University Hamburg

Date: 24.11.2016, 14:00-17:00

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg, Seminarraum 0105, Hauptgebäude H1

Language of instruction: Deutsch

Registration: Non-members of the Helmut-Schmidt-Universität may click here firstly to create an HSU-Ilias-account, and secondly here to join the course.

Contents:
Florian Kühn führt aus der Sicht eines Herausgebers einer internationalen Fachzeitschrift (Journal of Intervention and Statebuilding) in die Tücken, Fallstricke aber auch Praxis und Abläufe des Publishings ein. Wenn wir – womöglich zum ersten Mal? – vor der Frage stehen, wo und wie ein Aufsatz eingereicht werden kann und sollte, um angemessen berücksichtigt zu werden, aber auch eine Chance zu haben, einen Peer Review-Prozess zu überstehen, erscheint die Welt der Journal Publishings zunächst wie ein Buch mit sieben Siegeln. Dieser Workshop behandelt in drei Blöcken den Prozess einer Veröffentlichung (Welches Journal? Welcher Aufsatz? Wie präsentieren?). Aus der Sicht eines Herausgebers schildert Florian Kühn häufig gemacht Fehler und gibt Tipps, wie ein Aufsatz erfolgreich eingereicht werden kann, wie die Kommunikation zwischen Herausgebern und Einreichenden sowie zwischen Editorial Boards und Gutachtern verläuft, und wie sich die Chancen verbessern lassen, einen Aufsatz unterzubringen. Was kennzeichnet einen guten Aufsatz, wie präsentiere ich Forschungsergebnisse, welches Publikum spreche ich an, an welche bestehende Forschung knüpfe ich an (oder von welcher grenze ich meine Forschung ab), wie soll das Verhältnis zwischen Forschungsstand – Forschungsergebnissen – Desideraten sein, etc.? Je nach Interesse können Fragen zu Open Access, zu Indices, zu Zitationen und Impact-Berechnungen diskutiert werden.

Dr. Florian Kühn ist wissenschaftlicher Mitarbeiter am Institut für Internationale Politik an der HSU, hat Professuren an der Humboldt Universität zu Berlin und an der Otto-von-Guericke-Universität Magdeburg vertreten und ist seit 2013 Herausgeber von JISB.

JMP Intro & DOE/Kriging Workshop using JMP and R on 25th November at the HSU — CANCELED!

Dear Ladies and Gentlemen,

Due to unforeseen and unfortunate circumstances, the above-mentioned workshop on Kriging using JMP and R, scheduled for 25th November at the HSU, has to be canceled. We apologize for any inconvenience.

Kind regards
Volker Kraft, JMP Academic Ambassador, and Univ.-Prof. Dr. Sven Knoth, Chair of Computational Statistics, Helmut-Schmidt-Universität Hamburg