Category Archives: Network Courses
HSU – Einführung in die quantitative Datenanalyse mit SPSS
Workshop zur Einführung in die quantitative Datenanalyse mit SPSS (Version 24/25)
Inhalt:
Wie lassen sich erhobene Daten zielführend auswerten? In der Veranstaltung werden grundlegende Kenntnisse zu Statistiksoftware SPSS vermittelt. Im Vordergrund stehen dabei die Programmoberfläche und einfache Auswertungsverfahren der Deskriptiv- und Inferenzstatistik.
Die Veranstaltung ist so konzipiert, dass die Teilnehmerinnen und Teilnehmer am Ende des Kurses mit folgenden Inhalten sicher umgehen können:
- Erstellung von Datenmasken und Dateneingabe
- Uni- und bivariate deskriptive Statistik
- Zusammenhangs- und Unterschiedsmessungen; Signifikanztests
- Durchführung von Berechnungen; z.B. Erzeugung neuer Variablen, etwa Indizes
- Verknüpfung von Dateien (Quer- und Längsschnitt)
Darüber hinaus können nach Absprache und zeitlichen Ressourcen gern weitere Themen mit der Dozentin behandelt bzw. individuelle Fragestellungen besprochen werden.
Voraussetzungen/Vorkenntnisse:
keine, von Vorteil wären jedoch Grundkenntnisse zu statistischen Kennziffern (etwa Mittelwerte, Streuungsmaße)
Tutorin:
Dr. Elke Goltz, HSU
Termine:
13.04.21 bis zum 16.04.21 – jeweils von 9:30 bis 14:30 Uhr
Ort:
Online via MS Teams; Einloggdaten werden nach Schließung der TN-Liste verschickt.
Teilnehmer:
maximal 10
Für Mitglieder der HSU erfolgt der direkte Kursbeitritt ab sofort unter diesem Link:
https://ilias.hsu-hh.de/goto.php?target=crs_341192_rcodemPqRdgLQkE&client_id=unibw
Wer nicht Angehöriger der Helmut-Schmidt-Universität ist, schickt bitte eine Mail an phd-network@hsu-hh.de mit der Bitte um Teilnahme.
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:
Click for information on fees, payment and registration,
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
PhD Course Econometrics
Econometrics
Block course
Date:
March 1st – March 3rd, 2021
Place:
Zoom (Link will be provided on the course website)
Course instructor:
Professor Martin Spindler (UHH)
Course value:
2 SWS or 4 LP
Course overview:
The main goal of this course is to give an introduction to causal inference, and if time allows to recent developments, in particular on the use of Machine Learning Methods for Causal Inference. Handouts of the slides will be provided during the course. The target audience are empirical researcher / PhD students who want to apply those methods for their research.
Topics:
1) Introduction to Causal Inference / Basic Framework
2) Methods for Causal Inference (Diff-in-Diff, IV, Propensity Score Matching, Randomized Control Trials, …)
3) Recent Developments
Teaching language:
English
Student evaluation:
presentation of a recent paper in a blocked session (Summer Term2021) or presentation / written summary of a research project / idea
Registration:
not required
https://www.bwl.uni-hamburg.de/forschung/promotion/doktorandenkurs-online-spindler-wise2021.pdf
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:
Prof. Dr. Laura-Marie Edinger-Schons
Universität Mannheim
https://www.bwl.uni-mannheim.de/schons/
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
Interessierte können sich per Email an prodok@vhbonline.org anmelden.
Anmeldefrist: 21. Februar 2021
VHB ProDok Kurs Design Science
Design Science
Date: 22.02. – 05.03.2021
Abstract and Learning Objectives
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 in contributing 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.
Date:
22.2. bis 05.03.2021
face to face time: Tue, Thu, Mo, Wed, Fr
Location:
DIGITAL COURSE
offline and online
Language:
English
Instructor:
Prof. Dr. Jan vom Brocke
University of Liechtenstein
www.janvombrocke.com
https://www.uni.li/jan.vom.brocke?set_language=de
https://www.researchgate.net/profile/Jan_vom_Brocke
Prof. Dr. Robert Winter
University of St. Gallen
https://www.alexandria.unisg.ch/persons/621
https://www.researchgate.net/profile/Robert_Winter
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: January 24, 2021
Syllabus:
VHB ProDok Kurs zu Qualitativen Methoden
Qualitative Research Methods
Date: 8. – 11. March 2021
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 rigourous from non-rigourous qualitative management research
Location: ONLINE
Course Language: German / English
Lecturers:
Prof. Dr. Jana Costas,Europa-Universität Viadrina Frankfurt (Oder)
Prof. Dr. Markus Reihlen,Leuphana Universität Lüneburg
Anmeldung bis zum 07. Februar 2021 per E-Mail an prodok@vhbonline.org
Nähere Informationen und Daten zur Auslastung hier.
Uni Hamburg: PhD Course in Behavioral & Experimental Economics
Dates: The course takes place on four Fridays. Sessions are such that participants have sufficient time to develop and run their experiments:
- 13th November 2020, 11th December 2020, 22nd January 2021, and 19th March 2021.
Time: 09:00 – 16:00 h
Place: Universität Hamburg (more details follow)
Course Instructor: Prof. Dr. Markus Nöth and Prof. Dr. Guido Voigt (both UHH)
Course Value: 2 SWS/5 LP
Teaching language: English
Registration: guido.voigt@uni-hamburg.de (First come, first-served)
Course Overview: The main goal of this course is to introduce 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. We start with discussing critical theory assumptions. We then show how research hypotheses can be inferred from behavioral models and how these hypotheses may be tested in lab or field studies.
Second, participants will critically discuss an experimental paper (either provided by us or self-selected) that is instructive for their own research field.
Third, participants will develop an experimental design and conduct a pilot experiment that is run in class. We introduce basic statistics along with a discussion how they relate to the experimental design. Alternatively, for participants who do not plan to conduct own experiments, a second paper will be reviewed.
Participants have the option to take a research ethics training (https://about.citiprogram.org/en/homepage/) that becomes increasingly important to conduct research projects with colleagues from the Unites States. All students will learn the basic requirements of a human subjects committee.
Course Contents:
- Identify a suitable research question for an experiment
- Ethical and scientific standards: historical and scientific rea-sons, consent requirements, human subjects committee, spe-cial 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
Prerequisites: Basic background in microeconomics, game theory and statistics.
Assessment:
- Critical discussion of an experimental paper
- Optional but encouraged: 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
Schedule (tentative):
scheduled independently by participants
| Day | Topics | Suggested Readings | |
| 1st Session | Introduction to the field
Game theoretic models, critical assumptions, Behavioral Models and Research Hypothesis Laboratory Experiments |
Katok (2018) | |
| 2nd Session | Presentation and discussion of assigned papers. Statistics & Design Choices IRB, Field-Experiments |
Hyndman, K. and Embrey, M. (2018) | |
| 3rd Session | Presentation of research (Problem Description, Research Hy- pothesis, Experimental Design)
Visit of Experimentallabor (z-Tree, Eye-Tracking, etc.) |
||
| 4th Session | Presentation of pilot studies (Note: Pilot studies need to be scheduled independently by participants) | ||
Recommended Texts:
Katok, E. (2018) Designing and Conducting Laboratory Experiments, pages: 1-33 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)
Hyndman, K. and Embrey, M. (2018) Econometrics for Experiments, pages: 35-88 in Donohue, K.; Katok, E.; Leider, S. (Hg.). The handbook of behavioral operations. John Wiley & Sons, 2018. (online available)
Other useful resources:
Baum, C. F. (2006) An introduction to modern econometrics using Stata. Stata press
Camerer, C. (2003) Behavioral Game Theory, Princeton University Press.
Holt, C. (2019) Markets, Games, and Strategic Behavior: A First Course in Experimental Economics, 2nd edition, Princeton Universtity Press
Kagel, J. and A. Roth (1995) Handbook of Experimental Economics, Princeton University Press.
Sheskin, D. J. (2011) Handbook of parametric and nonparametric statistical procedures. 5. ed. CRC Press.
Other material (e.g., papers to be presented etc.) will be distributed once we know who participates.
VHB-Pro-Dok Online-Kurs: ETHNOGRAPHIC RESEARCH (01.-04.12.2020)
Vom 1. bis 4. Dezember 2020 führen Professorin Jana Costas (Europa-Universität Viadrina Frankfurt / Oder), Professor Damian O’Doherty (University of Manchester) und Professor Dan Kärreman (Copenhagen Business School) erstmals einen Kurs zum Thema „Ethnographic Research“ als Online-Kurs durch.
Abstract
The course is designed for doctorate students in business administration who want to learn about and conduct ethnographic research. The aim of the course is to provide students with methodological foundations and advanced knowledge on ethnographic research in business studies. After attending this course, participants should be able to
- understand the methodological foundations of ethnographic research
- differentiate between different approaches to ethnography and be able to assess their strengths and weaknesses
- plan an ethnographic research design as well as be prepared for methodological challenges in their field research
- understand ways of analyzing ethnographic data and judge ethnographic research according to quality criteria
Interessierte können sich noch bis 1. November 2020 per Email an prodok@vhbonline.org anmelden.
Informationen zu Anmeldung, Teilnahme und Zahlung finden Sie unter https://vhbonline.org/veranstaltungen/prodok/anmeldung-teilnahmebedingungen-und-zahlungsmodalitaeten. Bitte beachten Sie, dass sich die Teilnahmegebühr für einen digitalen Kurs um 160 Euro reduziert und sich somit auf 410 Euro für VHB-Mitglieder bzw. 530 für Externe beläuft.
Das vollständige Kursangebot finden Sie auf der Website http://prodok.org.
Für Rückfragen steht Ihnen die Projektkoordinatorin Kathrin Schöps (kathrin.schoeps@vhbonline.org) von der Geschäftsstelle des VHB gerne zur Verfügung.