Category Archives: THESIS

VHB ProDok Kurse

Machine Learning

The course exposes participants to recent developments in the field of machine learning and discusses their ramifications for business and economics. Machine learning comprises theories, concepts, and algorithms to infer patterns from observational data. The prevalence of data (“big data”) has led to an increasing interest in the corresponding methodology to leverage existing data assets for improved decision-making and business process optimization. Concepts such as business analytics, data science, and artificial intelligence are omnipresent in decision-makers’ mindset and ground to a large extent on machine learning. Familiarizing course participants with these concepts and enabling them to purposefully apply cutting-edge methods to real-world decision problems in management, policy development, and research is the overarching objective of the course. Accordingly, the course targets Ph.D. students and young researchers with a general interest in algorithmic decision-making and/or concrete plan to employ machine learning in their research. A clear and approachable explanation of relevant methodologies and recent developments in machine learning paired with a batterie of practical exercises using contemporary software libraries of (deep) machine learning will ready participants for design-science or empirical-quantitative research projects.

 

Date:

23. – 26. April 2024

Location:

Harnack-Haus Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin

The course will be offered over a four-day period comprising lecture, tutorial, and discussion sessions.

 

Course Language:

English

 

Lecturer:

Prof. Dr. Stefan Lessmann
Humboldt-Universität zu Berlin

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline: 24. März 2024

Doktorandenkurs “Umgang mit fehlenden Daten”

Kursname: Umgang mit fehlenden Daten

Informationen: Der Kurs ist interdisziplinär ausgerichtet und kann von allen Promovierenden besucht werden, die im Studium zumindest Grundkenntnisse klassischer multivariater Datenanalyseverfahren (lineare / generalisierte lineare Modelle) erworben haben. Der Fokus des Kurses liegt auf der praktischen Anwendung. Statistische Grundlagen (z.B. Markov Chain Monte Carlo) werden nur insoweit behandelt, wie sie zum Verständnis der Methode und für die adäquate Anwendung der jeweiligen Verfahren notwendig ist.

Dozent: Dr. Kristian Kleinke, Uni Siegen, Department of Psychology

Datum: Montag, 04.03.2024 und Montag, 18.03.2024

Uhrzeit: 9.00 – 17.00 Uhr

Kursformat: Online-Seminar

Anmeldung: Email an meisterc@hsu-hh.de bis zum 02.03.2024

Weitere Kursinformationen:

Ablauf:

Am ersten Kurstag wird eine umfassende Einführung in die Problematik fehlender Werte bei der Analyse sozialwissenschaftlicher Datensätze gegeben. Verschiedene Ansätze zur Behandlung fehlender Werte werden vorgestellt und deren Vor- und Nachteile diskutiert.

Der Fokus des zweiten Kurstages ist die praktische Anwendung. Teilnehmende sind herzlich eingeladen, hier auch eigene Daten mitzubringen und an eigenen kleineren Problemstellungen zu arbeiten.

Zusätzlich besteht im Anschluss an den zweiten Kurstag noch die Möglichkeit, die begonnene Arbeit an einer konkreten Problemstellung weiterhin beratend zu begleiten.

Inhalte:

Tag 1

– Missing-data-Muster und Mechanismen

– Diagnostik selektiver Missing-Data-Prozesse

– Überblick über verschiedene Ansätze zur Behandlung fehlender Werte (u.a., ad hoc Verfahren, maximum likelihood, Gewichtung)

– Eine Einführung in die (Bayes’sche) Multiple Imputation (MI)

 

Tag 2: Praktische Anwendung

– MI unter Annahme multivariat normal verteilter Daten

– MI basierend auf (generalisierten) linearen Modellen

– MI bei Paneldaten

– robustere MI-Ansätze (wenn parametrische Annahmen verletzt sind)

Voraussetzungen:

– Grundkenntnisse in klassischen multivariaten Verfahren (lineare Modelle, generalisierte lineare Modelle

– Wünschenswert, aber nicht notwendig: R-Grundkenntnisse

Vorbereitung:

Um während des Kurses Zeit zu sparen, installieren Sie bitte vorab folgende Software:

1) Blimp, kostenlos erhältlich unter https://www.appliedmissingdata.com/blimp

Sollten Sie im Rahmen Ihres Promotionsvorhabens auch Modelle für Zähldaten spezifizieren wollen, dann müssten Sie bitte auch zusätzlich die Beta-Version installieren.

2) eine aktuelle R-Version, erhältlich unter https://cloud.r-project.org (für die Installation einiger Zusatzpakete benötigt man ggf. unter Windows auch die “R-tools”, die ebenfalls unter dieser Seite erhältlich sind)

3) Optional: Eine aktuelle Version von Rstudio (Desktop), kostenlos erhältlich unter https://posit.co/download/rstudio-desktop/

Sofern Sie auf Ihrem (Dienst-)Rechner keine Administratorenrechte haben sollten, bitten Sie Ihre Systemadministratoren vorab, o.g. Software zu installieren.

Literatur:

Als Begleitlektüre zum Kurs / zur Vertiefung werden folgenden Bücher empfohlen

1) Van Buuren, S. (2018). Flexible imputation of missing data (2nd ed.). CRC.

Das Buch ist kostenlos online lesbar unter: https://stefvanbuuren.name/fimd/

2) Enders, C. K. (2022). Applied missing data analysis (2nd ed.). Guilford.

3) Kleinke, K., Reinecke, J., Salfrán, D., & Spiess, M. (2020). Applied multiple imputation. advantages, pitfalls, new developments and applications in R. Springer.

VHB ProDok Kurse

Experimental Research and Behavioral Decision Making

Concepts in behavioral economics such as loss aversion, anchoring, overconfidence and reciprocity are increasingly used to explain deviations from rational behavior in economic decisions. In this PhD course, basic models of behavioral economics and theories used to explain behavior that differs from standard economic assumptions are presented and imparted based on experimental studies. For this purpose, the essential methodological foundations of experimental economic research are first introduced, anchored in scientific theory, and delimited from experimental research of neighboring disciplines. In the further course, experimental studies in particular from the fields of economics and management research will be extensively reviewed and discussed in order to present the concepts of behavioral economics, their advancement to explain economic decisions and their wide applications in policies and programs. In order to directly apply the acquired knowledge, the participants will elaborate in small groups a research question to which they develop their own experimental design, write instructions and derive potential predictions about the behavioral outcome.  Each group will present their work in plenary on the last day of the course. Along with lectures about behavioral and experimental research, there will be an introduction to programming with oTree within several tutorials. The lectures about oTree will give participants a fine overview and first experience with the programming language that is expected to be extremely helpful in programming experiments for future experimental studies in the PhD career.

Date:

March 25 – 28, 2024

Location:

Paderborn University
Warburger Strasse 100
33098 Paderborn

Room: Q 1.219

 

Language:

English

Lecturers:

Paderborn University

Paderborn University

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration deadline: February 25, 2024

VHB ProDok Kurs

Advanced Topics and Experimental Methods in Consumer Research

This course provides an overview of research and theories in consumer behavior. The topics covered in this seminar should be of interest to doctoral students studying Business, Psychology, Organization Behavior, and Marketing.

The course has two major goals:

  1. To expose students to research in specific areas of consumer research and marketing and to familiarize them with findings in these areas. These broad areas are emotions, sustainable consumer behavior, and human-computer interactions.
  2. To equip students with abilities to conceptualize, design and implement original consumer behavior research.

Students will read a set of core readings in order to gain knowledge of the relevant theoretical foundations, methodological norms, and most recent findings. We will discuss papers published in top journals in consumer behavior, marketing, management, psychology, and economics. One of the best ways for doctoral candidates to understand a research area is to critically review articles describing research in that area. The course will challenge students to adopt a critical stance when reading papers. This approach provides a deeper understanding of specific issues, a better appreciation of the research process, and training in research skills. During the discussion of the key articles on each topic, students will be challenged to review these articles. The class discussion will evaluate the articles and the reviews.

Students will learn to identify gaps in the literature or to apply a research problem to unexplored related phenomena.

Moreover, the second aim of this course is that students develop their own actionable research question and methodological plan. For this, they will be able to collect first data in the lab (BreLab) for their idea(s) (if physical course is possible), with the group and recruited students serving as participants in the respective experiments (otherwise: online data collection). Students will present their idea and potential results and give one another feedback on these ideas.

After completing this course, students will be able to define research questions in various domains of consumer behavior and in different empirical settings, they will know how to implement their research questions into an actionable experimental design, and they will be aware of potential problems and (dis)advantages in their research design

Date:

12 – 15. September 2022

 

Location:

Bremen

Language:

English

 

Lecturer:

Prof. Dr. Kristina Klein

University of Bremen

 

Registration:

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or email us: prodok@vhbonline.org.

 

Registration Deadline: 14. August 2022

Syllabus:

VHB ProDok Kurs

Managing Interorganizational Relations – Process Views

Abstract and Learning Objectives

This doctoral seminar exposes students into advanced theories of organization with a particular focus on process perspectives on the management of interorganizational relations. While interorganizational relations (IOR) are often studied from a rather static, network-analytical perspective or with a focus on bilateral ties, this doctoral seminar is geared towards students that are interested in IOR, in particular those of a collaborative nature, as complex process systems that require ongoing practices of their management.

Students should be familiar with „classic“ management and organization theories such as the theory of bureaucracy, institutional theory, or contingency theory before taking this course.

After this course, participants will be able to:

  • Understand the relevance and forms of IOR in diverse empirical contexts
  • Understand the basic pillars of process theories of organizations and be able to apply this thinking to the context of IOR
  • Understand core challenges and tensions regarding the management of IOR
  • Develop relevant research questions that promise theoretical contributions in the management of IOR

Date of Event:

September 5-8, 2022

Location:

Harnack-Haus Tagungsstätte der Max-Planck-Gesellschaft
Ihnestr. 16-20
14195 Berlin

Univ.-Prof. Dr. Elke Schüßler
Johannes Kepler Universität Linz
https://www.jku.at/institut-fuer-organisation/ueber-uns/team/profin-drin-elke-schuessler/

Registration:

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Registration Deadline: July 24, 2022

VHB ProDok Kurs

Advanced Topics in Experimental Accounting Research

The purpose of this course is to provide advanced insights into experimental research from managerial accounting, financial accounting and auditing. Therefore, this course covers recent experimental studies from these three accounting areas that apply behavioral decision theory, psychology, and economics to address a variety of accounting research questions. Each study is intended to provide insights into specific and advanced questions of how to motivate, develop, design and write up an experimental study. Therefore, even though from different accounting disciplines, all studies are relevant to all students as they treat fundamental questions for experimental research. The course includes published research, as well as working papers, mainly from leading accounting researchers in the field.

The goals of this course are

  • to deepen students’ understanding of experimental research, particularly in the field of accounting,
  • to help students develop the skills necessary to critically evaluate such research,
  • to help students develop and motivate their own research ideas,
  • to help students develop rigorous experimental designs for conducting their own research,
  • to challenge the limits of the experimental research method for accounting research questions.

 

Date:

29. August – 1. September 2022

Location:

Harnack-Haus Berlin

Language:

English

Lecturer:

Registration:

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Registration deadline: 24. Juli 2022

VHB ProDok Kurs

Marketing Strategy Performance: Theory, Models, and Empirical Applications

Against the background of increasing pressure from the capital market and major corporate trends such as digitization, marketing managers are more and more forced to demonstrate the performance and value relevance of their decisions. Marketing scholars have responded to this development and produced numerous articles that relate marketing decisions with the creation of market-based assets (e.g. customer satisfaction), product-market performance (e.g., market share), accounting performance (e.g., return on assets), and financial-market performance (e.g., stock returns). The course aims at providing an overview of this literature, both from a conceptual/model-based perspective and from an empirical point of view. After having attended the course, students should be able to:

  • Understand central concepts of marketing strategy performance research and be able to establish links between these concepts;
  • Understand the basics of market response modeling and recognize the relevance of model specification for the validity of empirical estimation results;
  • Understand, categorize, and criticize high-quality (“A+”) articles within the research field;
  • Know key data analysis methods within the research field including their scope of application as well as their limitations and conduct first own analyses using standard software (R);
  • Develop relevant and interesting research questions with a potential for a high-quality publication.

Date:

July 11-14, 2022

Location:

Fritz Thyssen Stiftung, Apostelnkloster 13-15, 50672 Köln

Language:

English

Lecturer:

Prof. Dr. Marc Fischer (Universität zu Köln)

Prof. Dr. Simone Wies (Gotehe-Universität Frankfurt/M.)

Prof. Dr. Alexander Edeling (Universität zu Köln)

Registration:

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Registration Deadline: June 12th, 2022

ZBW – Leibniz Informationszentrum Wirtschaft

Digitaler Workshop „Gute Wissenschaftliche Praxis und Reproduzierbare Forschung mit STATA“

Im Workshop zeigen wir, wie Analysecodes und Daten reproduzierbar und entsprechend den Richtlinien renommierter Journals aufbereitet werden. Wir geben einen Überblick über die Anforderungen der wichtigsten Drittmittelgeber, Fachzeitschriften und Fachgesellschaften in den Wirtschaftswissenschaften.

Datum:

22. März 2022 von 10:00-15:00 Uhr

Anmerkung:

Der Kurs ist bereits seit dem 8.3.22 ausgebucht. Interessenten können sich aber trotzdem noch auf eine Warteliste setzen lassen und ggf. nachrücken, falls andere Teilnehmer ausfallen sollten.

Adressatenkreis:

Der Workshop richtet sich vorrangig an Master-Studierende und Promovierende der Wirtschaftswissenschaften, die am Anfang ihrer Dissertation stehen, mit quantitativen Daten arbeiten und STATA als Statistiksoftware nutzen. Teilnehmende sollten deshalb Kenntnisse von Statistik/Ökonometrie und Erfahrungen im Umgang mit einer Statistiksoftware haben.

Die Teilnehmerzahl ist auf 30 Personen begrenzt, um allen Teilnehmenden ausreichend Möglichkeit für Fragen und zur Diskussion der Themen zu ermöglichen.

Die Teilnahme ist kostenlos.

Anmeldung:

Bitte über die Webseite der ZBW:

https://www.zbw.eu/de/ueber-uns/veranstaltungen/stata-digital-3

VHB ProDok Kurs

Foundational Theories of Strategic Management Research

The main objective of the course is to familiarize doctoral students with the basic assumptions, concepts and theories underlying the field. In essence, we want to help doctoral students to become independent scholars who are knowledgeable on the major theories in the field of strategy.

Date:

June 2022, 13-16

Location:

University of Passau

Course Language:

English

Lecturer:

Prof. Jeffrey J. Reuer, University of Colorado

Registration:

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or email us: prodok@vhbonline.org.

Registration Deadline: May 15, 2022

VHB ProDok Kurs

Gender, Diversity, and Inclusion Research

The course aims to introduce students to the leading concepts and current discussions in gender, diversity, and inclusion research with a particular focus on those that are shaped by and relevant to the contemporary societal changes, developments, and global challenges. The course is structured in two blocks. In the first block (in June, online) students will be introduced to relevant concepts, theories, management practices, and ongoing debates in this field of study. Based on this and students’ preparation during the summer months, students will present their insights and (if applicable) their research ideas in the second block (in October, in person in Berlin).

Upon successful completion of the course, students will:

  • Acquire knowledge of past and current issues addressed in gender, diversity, and inclusion (GDI) studies from varying research paradigms;
  • Develop an understanding of how GDI research can address societal changes, developments, and challenges;
  • Be familiar with the latest evidence-based knowledge on how individuals, teams/groups, structure/context, and organizational policies/practices influence individual inclusion-exclusion experiences and behaviors in organizations;
  • Advance their reflective and critical thinking skills in analyzing the role of organizational practices for GDI at the workplace;

Date:

June 7-8, 2022, 10am – 5pm: online (Zoom)
October 4-5, 2022, 10am – 5pm: Berlin (Harnack-Haus, Berlin-Dahlem, Ihnestr. 16-20)

Location:

Online / Berlin

Course Language:

German or English (depending on participants)

Lecturer:

Univ.-Prof. Dr. Renate Ortlieb (University of Graz)

Dr. Lena Knappert (Vrije Universiteit, VU, Amsterdam)

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration Deadline: 8. Mai 2022