Author Archives: meisterc

PhD Course SOEP on Campus – HSU Hamburg

SOEP On Campus

Course Outline:

This workshop offers a short hands-on introduction to the data of the Socio-economic panel study. Participants will be introduced to the content of the study, its data-structure, sample selection and weighting strategy and they will be provided with an overview over the study documentation.  The entire process from identifying and finding variables containing specific information in the dataset to the creation of the final dataset for analysis and first empirical investigations will be discussed. (Participants who already have access to the data via their home-institutions will be able to practice hands-on.) All hands-on problems will be exercised jointly as well. This practical part of the workshop requires familiarity with methods of empirical analysis and advanced programming skills in STATA. An overview of the required STATA skills can be found here (PDF, 274.09 KB)

Instructor:

Dr. Sandra Bohmann, DIW (Deutsche Institut für Wirtschaftsforschung), Berlin

Dates:

The course takes place on the campus of Helmut-Schmidt-University, Hamburg.

20. April 2023

12:30 – 15:00 Inhalte und Struktur des SOEP
15:00 – 15:15 Pause
15:15 – 16:15 Datenstruktur und Aufbereitungshilfen
16:15 – 16:30 Pause
16:30 – 18:00 Hands On I: Aufbereiten eines Längschnittdatensatzes

21. April 2023

09:30 – 11:00 Ziehungsdesign und Gewichtung
11:00 – 12:30: Hands-On II: Gewichtung
12:30 – 13:30: Mittagspause
13:30 – 14:30: Individuum in Kontext
14:30 – 15:00: Pause
15:00 – 17:00: Hands-On III: Multi-Actor Designs

Registration:

If you want to register for the course, please send an email to meisterc@hsu-hh.de

The maximum number of participants is 26.

 

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:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: 14. August 2022

Syllabus:

VHB ProDok Kurs

Ethnographic Research

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

 

Date:

September 12 – 15, 2022

 

Location:

Harnack-Haus Berlin

Course Language:

English

Lecturers:

Prof. Dr. Jana Costas,
Europa-Universität Viadrina Frankfurt (Oder)

Prof. Damian O’Doherty

Prof. Dan Kärreman,

Copenhagen Business School

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: August 14, 2022

VHB ProDok Kurs

Quantitative Empirical Accounting Research and Open Science Methods

This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial accounting issues but also touches on some managerial and auditing topics. After this course, participants should

  • have a clear understanding about the theoretical foundations of quantitative empirical accounting research,
  • know the methodological approaches to and common pitfalls of empirical research designs,
  • have become familiar with a collaborative open science workflow using R/Python/Stata and Github,
  • know how to execute empirical archival studies, including the usability and inter-operability of different data source
  • and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical financial accounting research.

 

Date:

Online: 06.09.22, 09.09.22, 13.09.22, 16.09.22, all slots 9am – noon
In person (Berlin): 05.10.22 noon -07.10.22 noon

 

Location:

Online and in person

 

Course Language:

English

Lecturer:

Prof. Dr. Joachim Gassen (Humboldt-Universität zu Berlin, TRR 266 „Accounting for Transparency“)

http://www.wiwi.hu-berlin.de/professuren/bwl/rwuwp/staff/gassen

gassen@wiwi.hu-berlin.de

Registration:

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

Participation fee:

Non-member: 610,00 Euro
VHB-member: 490,00 Euro

Registration Deadline: 7. August 2022

VHB ProDok Kurs

Endogeneity in Applied Empirical Research

Many empirical research projects in business and economics that use non-experimental data struggle with the proper identification of causal effects of independent variables (e.g., price, management decisions) on dependent variables (e.g., demand, firm performance). The reason is that the identification of a causal effect hinges on the untestable assumption that the error term of a model is uncorrelated with the independent variables. If this assumption is not met, a model is plagued by endogeneity.

The topic of endogeneity has received considerable attention, and it is probably the most frequently encountered troublemaker in a review process at an academic journal.

This course therefore has the goal of making students familiar with the problem of endogeneity and potential remedies. This implies that it will cover the opportunities and problems associated with traditional approaches (e.g., Instrumental Variable estimation, Matching, Difference-in-Difference) as well as more recent developments (e.g., Gaussian Copulas; Machine Learning and Causal Inference; Synthetic Control Methods; Directed Acyclical Graphs (DAG)). The course will also cover how the data structure (e.g., panel data) can be utilized to address the problem.

Because the literature on endogeneity is often quite technical, this course aims at providing an easily accessible approach to this topic. Special emphasis will also be given to understanding when endogeneity indeed poses a real problem as compared to settings in which endogeneity is less likely to be a real threat to the validity of the findings.

After completing this course, students will be able to define and describe endogeneity problems in different empirical settings, they will have a better understanding of whether and when causal identification is possible how to implement techniques that address endogeneity, and they will be aware of the (dis)advantages of different methods.

 

Date:

7.9.2022 online and 14.-16.9.2022 face-to-face

 

Location:

Online & University of Tübingen

 

Language:

English

 

Lecturer:

Prof. Dr. Dominik Papies

Universität Tübingen

 

Registration:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Participation fee:

Non-member: 650,00 Euro
VHB-member: 530,00 Euro

Registration deadline: August 7, 2022

VHB ProDok Kurs

Meta-Analysis

 

Abstract and Learning Objectives

Meta-analyses have become increasingly popular in many fields of the social sciences incl. business and management research. The results of meta-analyses attract substantial interest by both scholars and practitioners, as indicated by high citation numbers and widespread dissemination of meta-analytic findings in the media.

By summarizing results drawn from a set of studies concerning a specific topic and by discovering and explaining consistencies and inconsistencies of those results, meta-analysis is an essential step in the process of knowledge accumulation, theory building and theory testing in science, linking past research with future scientific endeavors.

The course targets researchers who are interested in understanding, conducting, and publishing meta-analytic research. Participants of this course will learn how to conduct and publish a high-quality meta-analysis in the area of management and business research. To this aim, the course follows a step-by-step procedure that covers the entire meta-analysis research process, including problem formulation and definition of a research question for a meta-analysis, literature search, study and effects coding, data preparation and analysis, and reporting and publishing. Participants will further learn how to evaluate meta-analyses in the business and management literature and to follow the respective methodological discussion about meta-analyses in their field.

 

Date:

September 6 – 9, 2022

 

Location:

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

Language:

English

Lecturer:

Prof. Dr. Martin Eisend

European University Viadrina

 

Registration:

 

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

Registration Deadline: August 7, 2022

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:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

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:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

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:

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: June 12th, 2022

Gastvortrag Forschungsdatenzentrum: Betriebs- und Organisationsdaten und die Möglichkeiten der Archivierung qualitativer Daten/HSU Hamburg

Im Rahmen einer Vortragsreihe des Forschungsclusters OPAL der Helmut-Schmidt-Universität Hamburg/Universität der Bundeswehr wird folgender Gastvortrag angekündigt:

Vortragender: Tobias Gebel, Wissenschaftlicher Mitarbeiter in der Abteilung Forschungsinfrastruktur des DIW Berlin

Vortragstitel: „Das Forschungsdatenzentrum: Betriebs- und Organisationsdaten und die Möglichkeiten der Archivierung qualitativer Daten“

Datum des Vortrags:  25. April 2022 um 18:00 – 19:30 Uhr

Der Vortrag findet im hybriden Format statt. Für Zugangsinformationen schreiben Sie eine Email an meisterc@hsu-hh.de.