Institution: Helmut-Schmidt-University Hamburg
Lecturer: Dr. Lasse Cronqvist, Universität Trier
20.09.2017, 09:00 – 17:00 Uhr
21.09.2017, 09:00 – 16:00 Uhr.
Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg. Austragungsort ist an beiden Tagen Seminarraum 0108 in H1.
Language of instruction: German
Registration: Der direkte Kursbeitritt erfolgt unter diesem Link. Wer nicht Angehöriger der Helmut-Schmidt-Universität ist, lege sich zuvor bitte unter diesem Link ein Konto auf dem Ilias-System der HSU an.
Der Kurs führt in die Grundlagen der konfigurationellen Analyse mit Qualitative Comparative Analysis (QCA) ein. Nach einer wissenschaftstheoretischen Einordnung des Ansatzes werden wir am ersten Tag die Grundprinzipien der QCA Analyse behandeln. Dies erfolgt auch anhand der gemeinsamen Analyse verschiedener Anwendungsbeispiele und der Einführung aktueller, einschlägiger Software. Im weiteren Verlauf des Kurses werden auch Erweiterung von QCA wie mvQCA diskutiert und die viel beachtete Verbindung von QCA und fuzzy sets (fsQCA) eingeführt. Neben einer kritischen Betrachtung der Anwendungsmöglichkeiten der vorgestellten Ansätze für eigene Forschungsvorhaben der Teilnehmenden, bildet ein Ausblick auf aktuelle Entwicklungen im Bereich der QCA Analyse den Abschluss des Kurses.
Institution: Helmut-Schmidt-University Hamburg (HSU)
Lecturer: Klaus Beckmann, Chair of Public Economics, Helmut Schmidt University
Dates & places:
- 18. September 2017: Introduction, Seminarraum 0110, H1, HSU
- 20. September 2017: Intermediate Topics, Seminarraum 0110 H1, HSU
- 21. September 2017: Advanced Topics and Extensions, Seminarraum 0109, H1, HSU
Starting time-finishing time on each day: 09:00-16:30
Language of instruction: English or German, depending on the course composition (to be decided upon at the beginning of the course).
To register for the course, please click here. Non-members of the Helmut-Schmidt-Universität may firstly click here to create an HSU-Ilias-account, and secondly use the first link to join the course.
See http://hermes.hsu-hh.de/~ac/kursplan-spieltheorie-seminar.pdf for the course contents.
Feel free to attend individual days or course offerings according to your prior knowledge or liking.
Institution: Erasmus University, Rotterdam/Helmut-Schmidt-University Hamburg
Jan Dul, Rotterdam School of Management, Erasmus University
Sven Hauff, Helmut Schmidt University
Date: 12.10.2017 – 10 a.m. to 15 p.m.
Place: Hamburg Business School, Hamburg University
Language of instruction: English
Registration: You can register for the course until 05.10.17 by email to Sven Hauff (email@example.com)
What is NCA?
NCA is a novel, user-friendly methodological approach, recently published in Organizational Research Methods that understands cause-effect relations as “necessary but not sufficient” (not as additive logic used in regression). A necessary condition implies that without the right level of the condition a certain effect cannot occur. This is independent of other causes, thus the necessary condition can be a bottleneck, critical factor, constraint, disqualifier, etc. In practice, the right level of necessary condition must be put and kept in place to avoid guaranteed failure. Other causes cannot compensate for this factor. Thus NCA provides a novel view on causality and on empirical data analysis.
Whom is NCA for?
NCA is applicable to any discipline, and can provide strong results even when other analyses such as regression analysis show no or weak effects. By adding a different logic and data analysis approach, NCA adds both rigor and relevance to your theory, data analysis, and publications. NCA does not require advanced statistical or methodological knowledge beforehand. It can be used in both quantitative research as well as in qualitative research. You can become one of the first users of NCA in your field, which makes your publication(s) extra attractive.
What will be discussed in the seminar?
The seminar consists of two parts:
- In the first part (1-2 hours) we will discuss the method and its applications in different management fields. We will explain the differences between necessity logic and traditional additive logic and describe the relevance of necessary conditions for theory and practice.
- Immediately afterwards, in the second part (1-3 hours depending on the number of participants) we will discuss the method in more detail. In particular we will focus on the participants’ research areas and datasets. We will also demonstrate how to use the NCA software to identify/test potential necessary conditions in empirical data sets. Participants who are interested in a demonstration of the method on their dataset can bring their dataset on a USB drive (e.g., excel.csv file) or perform an NCA analysis on their own computer.
- Dul, J. (2016) Necessary Condition Analysis (NCA): Logic and methodology of “necessary but not sufficient” causality, Organizational Research Methods, 19(1), 10-52.
Institution: Kühne Logistics University/Verband der Hochschullehrer (VHB)
Lecturer: Prof. Dorothy Leidner (Baylor University) and Dr. Benjamin Müller (University of Groningen)
Dates: 18.-21. July 2017
Kühne Logistics University
Room GF Lecture 1
Großer Grasbrook 17
Language of instruction: English
Registration: Online via http://vhbonline.org/veranstaltungen/prodok/ or via email: firstname.lastname@example.org.
Course fee: EUR 600,00 (catering included)
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 aims to achieve the following high-level learning objectives Build a foundational understanding of what theory is and what role it plays in research Develop basic theorizing skills and be familiar with extant theorizing strategies 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.
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.
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.
For further information on the course please click here. If you have any further queries on the course, please contact Kathrin Schöps (email@example.com)
Institution: Helmut-Schmidt-University Hamburg
Lecturer: Dr. Elke Goltz, Professur für Betriebswirtschaftslehre, insbesondere Marketing
Donnerstag: 06.07.17 – 09:30 bis 17:00 Uhr
Freitag: 07.07.17 – 09:00 bis 15:00 Uhr
Donnerstag: 13.07.17 – 09:30 bis 17:00 Uhr
Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg, H1 – Raum 2161 (PC-Pool WiSo)
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.
Aufbauend auf dem Kurs im Frühjahrstrimester 2016, in dem grundlegende Verfahren der Deskriptiv- und Inferenzstatistik besprochen wurden, werden in diesem Kurs weiterführende Verfahren zur (multi)variaten Datenanalyse vorgestellt, insbesondere:
Itemanalyse*, Varianzanalyse, Regressionsanalyse, Logistische Regression, Faktorenanalyse
* vor allem Konstruktion von Likert-Skalen
Eine genauere Planung für die jeweiligen Inhalte an den drei Veranstaltungstagen wird ca. 4 Wochen vor Veranstaltungsbeginn bekannt gegeben.
Grundkenntnisse in der Deskriptiv- und Inferenzstatistik sowie in SPSS.
Institution: GIGA German Institute of Global and Area Studies
GIGA German Institute of Global and Area Studies
Neuer Jungfernstieg 21
The following seminars are open to doctoral students and postdoctoral researchers at the GIGA and its partner institutions. Please note that other external participants are asked to pay a small course fee.
|24 – 25 April
||Dr Alenka Jelen-Sanchez, University of Stirling
|3 – 4 May
||Introduction to R
||Dr Florian Weiler, University of Kent
||Research Data Management – Introductory Course for Doctoral Students
||Dr Birte Pfeiffer, GIGA
||CAS & Global Studies I: Growth and Development: Basic concepts, measurement and data
||Apl Prof Dr Jann Lay, GIGA
|18 – 19 May
||QCA and Case Selection
||Prof Ingo Rohlfing Ph.D., University of Cologne
|1 – 2 June
||Process tracing methods – an Introduction
||Prof Derek Beach, University of Aarhus
||CAS & Global Studies II: Studying Presidential Term Limits in Africa and Latin America
||Dr Mariana Llanos, GIGA
|13 – 14 June
||Introduction to Grounded Theory
||Alice Mattoni, Scuola Normale Superiore Florence
||CAS & Global Studies III: Rising Powers in World Politics
||Prof Dr Sandra Destradi, GIGA
Information on Registration:
Participants need to register online by filling in the registration form that is available on the website of the respective event.
Questions should be addressed to Laura Carolin Freitag.
Registration deadline: Monday, 17 April 2017
Einführung in Octave
Course instructor: Dr. Ludsteck
Course instructor: Prof. Fitzenberger
Causes and Consequences of Migration
Course instructor: Prof. Spitz-Oener
Institution: Institute for Employment Research (IAB) of the German Federal Employment Agency (BA)
More information is coming soon!
The Institute for Employment Research (IAB) and the School of Business and Economics of the
University of Erlangen-Nuremberg (FAU) offer a joint doctoral programme in labour market
research (GradAB), which prepares graduates for a career in academics and in policy consulting.
IAB and FAU jointly constitute one of the most important hubs for labour market research in
Germany and provide optimal conditions for more than 200 labour market researchers from
different disciplines to conduct high-quality academic research.
- The Graduate Center GradAB offers a three-year programme of high-level training in
labour market research, which can be extended for another year under certain conditions.
- Doctoral students benefit from a professional research and policy-consulting environment
in one of the key institutions advising high-ranking social policymakers.
- The course programme provides training on labour market research, methods, and data at an advanced level and is held in English.
- The GradAB works closely together with its partners from a large network of renowned
national and international universities, research and policy institutions.
- The scholarship offers financial support of 1,350€ / month. In addition, funding is
available for participation in scientific conferences and further training.
- Scholarship holders are granted access to the IAB’s unique data resources on employment
and social security (administrative and survey data).
We invite applications from outstanding graduates in the fields of economics, sociology or other social sciences who hold a master’s degree or diploma and have a strong interest in labour market research.
For further information on the programme, admission requirements, and the application process, please see our website www.iab.de/en/gradab.
Please submit your application in English by 31 March 2017 to:
Dr Sandra Huber
Institution: Universität Hamburg, Fakultät für Betriebswirtschaft
Course instructor: Prof. Dr. Markus Nöth (Universität Hamburg)
Date: block course:
April 7 th, 2017: 8:15am-5:00pm (10*45min)
May 5th, 2017: 8:15am-1:00pm (6*45min)
June 2nd, 2017: 8:15am-5:00pm (10*45min)
June 21st, 2017: 6:00pm-7:30pm (2*45min)
Room: tbd (Moorweidenstraße 18, Von-Melle-Park 5 (ExpLab))
Course Value: 2 SWS or 4 LP
Teaching language: English
Registration: Send an email to firstname.lastname@example.org until March 17th, 2017; please indicate if you prefer some specific topics to be covered.
The main goal of this course is to give an introduction to the design and implementation of both laboratory and field experiments in various fields of Economics and Business Administration. PhD students who have some experience with or who consider to set up an experiment are welcome to participate in this course. First, we will identify different research questions for a laboratory or a field experiment. Second, based on a literature review (for some research fields that are proposed by the participants) an experimental design is developed and a pilot experiment will be set up and run in class. As part of this exercise, students will learn the basic requirements of a human subjects committee.
- Identify a suitable research question for an experiment
- Ethical and scientific standards: historical and scientific reasons, consent requirements, human subjects committee, special requirements (children, elderly people, inmates, …), data collection and evaluation
- Individual and group experiments in the laboratory
- Surveys and internet experiments
- Field experiments in cooperation with a company
- Kagel, John H., and Alvin E. Roth, 1995, The Handbook of Experimental Economics, Princeton University Press, Princeton/Oxford
- Gerber, Alan S., and Donald P. Green, 2012, Field Experiments, W.W. Norton & Company, London/New York.
- Kagel, John H., and Alvin E. Roth, 2015, The Handbook of Experimental Economics Volume 2, Princeton University Press, Princeton/Oxford
- Paper presentation (May 5th)
- experiment design presentation (extended summary on economic question, relevant literature, hypotheses, design: presentation with max. 10 slides or max. five pages extended abstract)
- running a pilot experiment is optional
Institution: Universität Hamburg, Fakultät für Betriebswirtschaft
Course instructor: : Prof. Gilvan Souza (Kelley School of Business, Indiana University)
Date: June 16th 2017, 09:00-13:00 h (block course)
Course Value: 1 LP
Teaching language: English
Registration: Please register via email to email@example.com
This course will provide an overview of research and tools used in closed-loop supply chain management research in operations management. A closed-loop supply chain is a supply chain with flows of products post-consumer use from consumers to retailers, manufacturers, and/or suppliers. Examples include consumer returns, and post-lease products. Emphasis will be given to strategic decision-making, such as product line extension, choice of product quality, and take-back legislation.
- An overview to closed-loop supply chains (CLSCs): types of product returns, and types of disposition decisions.
- Examples of strategic, tactical and operational decisions in CLSCs
- Strategic decision 1: Should an Original Equipment Manufacturer (OEM) offer a remanufactured product in its product line?
- Monopoly pricing for a single product, and for a vertically differentiated product line under linear demand curves and constant marginal costs
- The fundamental trade-off: Market expansion vs. cannibalization
- Extension: non-linear demand curves
- Competition between an OEM and a third-party remanufacturer
- Strategic decision II: What is the optimal product quality when there is product recovery in the form of remanufacturing and/or recycling?
- Introduction to classical quality choice models without product recovery (Mussa and Rosen, 1978)
- Quality choice with product recovery: monopoly (Atasu and Souza 2013)
- Quality choice with product recovery: competition between an OEM and a third-party remanufacturer (Orsdemir et al. 2014)
- Strategic decision III: Design of optimal take-back legislation from a policy maker’s perspective, and an OEM’s response to it
- The concept of welfare and its components: firms’ profits plus consumer surplus minus environmental impact
- The model by Atasu and Van Wassenhove (2009)
- Incentives and coordination in CLSCs
- Reducing consumer returns through retailer effort (Ferguson, Guide, and Souza, 2006)
- Overview of tactical decision making in CLSCs
- Production planning for remanufactured products: product acquisition, grading, and disposition decisions
- Hybrid inventory systems
Prerequisites: Background in Operations and Supply Chain Management is preferred but not absolutely necessary.
Assessment: Participation in discussion