VHB ProDok Kurs in Kooperation mit ASSIOA

Advanced Topics in Management and Organization Theory

Content and Learning Objectives:
This course is centered on broad topics related to social evaluation, from categorization to status, stigma, boundary work, moral legitimacy and inequality in organizations. The material ranges from ‘recent classics’, to papers fresh from print, to unpublished empirical cases.
Students will be asked to prepare in advance in order to present the main themes of the assigned literature and discuss empirical material with a hands on approach.

Learning objectives:

  • Exposure to advanced and emerging themes (and their established roots) in the field of management and organization
  • Understanding the broad variety of methods (inductive, deductive and abductive) used in the field in a complementary way
  • Learning different abductive methods and Dos and Don’ts in abductive theorizing

You can find more information ON REGISTRATION and the Syllabus at the following link: 

https://www.assioa.it/assioa-summer-school-2021 

The billing of the course will also be done by ASSIOA.

Registration Fee

Assioa or VHB members: 500 Euro
Non Assioa or VHB members: 560 Euro

VHB ProDok Kurs “Design Science”

Design Science

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:

20.9. bis 30.09.2021
face to face time: Mo, Tue, Fr, Tue, Thu

Location:

DIGITAL COURSE
offline and online

Language:

English

Lecturer:

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: August 22, 2021

VHB ProDok Kurs “Qualitative Empirical Accounting Research”

Qualitative Empirical Accounting Research

This course offers advanced insights into the use and usefulness of qualitative research approaches in the field of accounting. Using published work in the areas of financial accounting, auditing and management accounting, we will discuss (1) the main rationales for choosing a qualitative research approach; (2) differences between different qualitative research designs, such as single case studies or cross-sectional studies; (3) guidelines for applying qualitative research methods such as interviews and observation; (4) the role of theory in qualitative work; (5) the process of doing qualitative research, from the start of a project to its publication; (6) quality criteria that editors and reviewers apply when evaluating qualitative work. In addition, participating students who carry out qualitative PhD projects will have an opportunity to present their work/ideas and get feedback from fellow students and the lecturers.

Date:

14.09.-17.09.2021

Location:

University of Innsbruck
SoWi-Building
Universitätsstraße 15
6020 Innsbruck, Austria

 

Course Language:

English

Lecturer:

Professor Martin Messner (University of Innsbruck)

https://www.uibk.ac.at/iol/controlling/team/messner/martin-messner.html

Professor Christoph Pelger (University of Innsbruck)

https://www.uibk.ac.at/accounting-auditing/staff/christoph-pelger.html

Registration:

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

 

Wenige Restplätze für den International Research Workshop Akademie Sankelmark vom 05.09.-10.09.21

Nur noch einige wenige Restplätze verfügbar für den Workshop “Methods for PhD”  Akademie Sankelmark vom 05.09.-10.09.2021

Für den zum 15. Mal in Kooperation mit nationalen und internationalen Universitäten und Forschungseinrichtungen [SDU Sonderborg (Simon Jebsen), IAB Nürnberg (Heiko Stüber) und HSU/UniBw H (Wenzel Matiaske)] stattfindenden Workshop “Methods for PhD” an der Akademie Sankelmark vom 05.09.-10.09.2021 sind  – Stand 09.08.21 – nur noch einige wenige Restplätze frei.

Das mehrtägige Format bietet nicht nur die Möglichkeit eine Vielzahl unterschiedlicher Forschungsmethoden kennenzulernen und das Handwerkszeug für das Schreiben einer Doktorarbeit einzuüben, sondern auch vielfältige Begegnungs- und Austauschmöglichkeiten mit Dozent:innen und Kolleg:innen anderer Universitäten zu knüpfen.

Das aktuelle Programm findest sich unter

https://hermes.hsu-hh.de/doctoralstudy/irws/programme/

Hier können Sie sich anmelden:

https://bit.ly/3hmBHdq

Wenn Sie noch gern teilnehmen möchten, melden Sie sich bitte schnell an!

 

 

 

 

Call for Applications: Herbstforum-Promotionswerkstatt 2021 des WSI

Das WSI – Wirtschafts- und Sozialwissenschaftliches Institut der Hans-Böckler-Stiftung veranstaltet am 09.-10. November 2021 eine Promotionswerkstatt zum Thema “Gesellschaftliche Polarisierungen und die Suche nach Solidarität“.

Nach all den Monaten voller Online-Formate und verschobener oder ausgefallener Nachwuchskonferenzen wollen wir Promovierenden einen Raum bieten, sich auszutauschen: Die Veranstaltung zielt darauf, einen Diskussionsraum für Forschungsvorhaben zu eröffnen, Einblicke in den Wissenschaftsbetrieb zu geben und am nächsten Tag gemeinsam das „WSI-Herbstforum 2021: Solidarität in der Krise“ zu besuchen. Neben einer Keynote durch Prof. Dr. Bettina Kohlrausch, Wissenschaftliche Direktorin des WSI, der Vorstellung von Promotionsarbeiten und einem Promotionsprojekt-Speednetworking steht deshalb auch ein kurzer Workshop auf dem Programm, wie man sich gut durch das Dickicht an Fallstricken wissenschaftlicher Konferenzen schlägt.

Wann? 09. November 2021 ab 14 Uhr – 10. November 2021 ca. 17 Uhr
Wo? Berlin
Wie? Vorrangig in Präsenz, sofern es die Pandemielage erlaubt

Interessierte Promovierende bewerben sich bis zum 15. September 2021 mit einem kurzen Abstract an herbstforum-werkstatt@boeckler.de

Weitere Informationen finden Sie im Call: https://www.boeckler.de/pdf/wsi_herbstforum_call_promotionswerkstatt_2021.pdf

Bei Fragen wenden Sie sich gerne an Magdalena Polloczek (magdalena-polloczek@boeckler.de / 0211-77 78 333)

15th International Research Workshop – Methods for PhD – 5-10 September 2021: Registration Open Now!

PROGRAMME
PARALLEL MORNING SESSION 1 (6 – 8 September 2021)

  • Data Analysis with Stata
    Tobias Gramlich, Hesse State Statistical Office
  • Qualitative Research Methods
    Dr. Fabian Hattke, University of Hamburg
  • Grounded Theory
    Dr. Gilberto Rescher, University of Hamburg
  • Writing your Literature Review
    Dr. Sylvia Rohlfer, CUNEF University

PARALLEL AFTERNOON SESSION 2 (6 – 8 September 2021)

  • Data Analysis with R
    Dr. Marco Lehmann, UKE Hamburg
  • Case Study Research
    Dr. Kamil Marcinkiewicz, University of Oldenbourg
  • Questionnaire Design
    Dr. Daniel Schnitzlein, Leibniz University Hannover
  • Qualitative Comparative Analysis (QCA)
    Dr. Jonas Buche, Leibniz University Hannover

PARALLEL SESSION 3 (9 September 2021)

  • Data Visualization
    Dr. Daniel Schnitzlein Leibniz University Hannover
  • Multi-level Modelling with R
    Dr. Daniel Lüdecke, UKE Hamburg
  • Academic English Writing
    Dr. Jonathan Mole, Europa-Universität Flensburg
  • Analysing Panel Data with Stata
    Dr. Timo Friedel Mitze, University of Southern Denmark

WORKSHOP COMMITTEE
Dr. Wenzel Matiaske, Helmut-Schmidt-University
Dr. Simon Fietze, University of Southern Denmark
Dr. Heiko Stüber, Institute for Employment Research

FEES & CREDIT POINTS
499 Euro (with accommodation and meals)
It is possible to get a certificate on 5 credit points (according to the European Credit Transfer System).

WORKSHOP VENUE
The workshop will take place at the Akademie Sankelmark, Akademieweg 6 in Oeversee (near Flensburg), Germany. The health, safety, and well-being of our lectures, the staff at the Akademie and the participants are our top priorities. All necessary measures are taken to ensure everyone stays healthy. Further, we will continue to monitor the COVID-19 situation and switch to an online workshop when necessary.

CONTACT & REGISTRATION
For any questions, don’t hesitate to contact the workshop committee (irwsnetwork@gmail.com).

Please register for the workshop here or on the workshop website.

ORGANIZERS
Helmut-Schmidt-University/University of the FAF Hamburg, Faculty of Economics and Social Sciences
Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg
Akademie Sankelmark im Deutschen Grenzverein e.V.

SUPPORTERS
Europa-Universität Flensburg
University of Hamburg, Faculty of Economics and Social Sciences
University of Hamburg, School of Business
Leuphana University Lüneburg, Faculty of Economics

Data Visualization

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Daniel Schnitzlein (Leibniz University Hannover & Inside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important. Probably the most important skill in this context is the ability to create good visualization of your main (quantitative data-based) results.

Today, data are everyday companions in almost all scientific and professional fields. The graphical representation of data is both an elementary step in the analysis process and an important component in communicating the results. The course Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise representations with the help of many practice-oriented examples. The course consists of 50% lecture and 50% hands-on session.

Requirement of students: Basic knowledge of empirical (quantitative) social and economic research is beneficial, but not strictly necessary. The methods trained in this course are applicable to all visualization tasks independent of the applied software package. Visualization examples will be based mainly on R. Code examples will be provided within the lecture. A selection of examples will also be available in Excel and Python.

You have to register for the International Research Workshop to participate in this course.

Qualitative Research Methods

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Fabian Hattke (Universität Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The purpose of this course is to familiarize participants with the basic characteristics of qualitative research. The course introduces methodological and practical aspects of different forms of qualitative research like case studies, discourse analyses, interviews, observations, and qualitative meta-syntheses. The course covers a variety of issues, including the philosophy of science, research designs, theory building, and sampling strategies. It also discusses practical challenges like the development of research questions, the use of different coding approaches, technical tools, and ethical questions.

Recommended literature and pre-readings:

  • Adler, P. S., Forbes, L. C., & Willmott, H. (2007). Critical management studies. Academy of Management Annals, 1(1), 119-179.
  • Alvesson, M., & Karreman, D. (2000). Varieties of discourse: On the study of organizations through discourse analysis. Human Relations, 53(9), 1125-1149.
  • Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage publications.
  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550.
  • Flick, U., von Kardoff, E., & Steinke, I. (Eds.). (2004). A companion to qualitative research. Sage.
  • Hoon, C. (2013). Meta-synthesis of qualitative case studies: An approach to theory building. Organizational Research Methods, 16(4), 522-556.
  • Mayring, P. (2004). Qualitative content analysis. A companion to qualitative research. Forum: Qualitative Social Research, 1, 159-176.
  • Sandelowski, M., & Barroso, J. (2006). Handbook for synthesizing qualitative research. Springer Publishing.
  • Wodak, R., & Meyer, M. (Eds.). (2015). Methods of critical discourse studies. Sage.
  • Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.

You have to register for the International Research Workshop to participate in this course.

Grounded Theory

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Gilberto Rescher (University of Hamburg)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The purpose of this workshop is to offer a comprehensive introduction to Grounded Theory, considering its use in manifold kinds of fields and contexts of study and the feasibility of combining it with diverse research techniques (mainly qualitative and ethnographic ones). The workshop is as much oriented to “beginners” interested in learning about the basic epistemological perspective of Grounded Theory and its practice, as to participants that already possess deeper knowledge about Grounded Theory or even have employed this methodology in research and wish to discuss specific aspects or questions that arose in research practice. Correspondingly, the workshop will be adjusted to participants’ needs.

Hence, we will discuss basic concepts and procedures like research design, data collection, coding, categorizing, writing memos, theoretical sampling and theoretical saturation. Then exercises based on examples, ideally, those attributed by participants will be employed to clarify these concepts by putting them into practice. Therefore, participants with concrete research projects (be it planned or already put in practice) are invited to share their ideas, design and material, with the aim to (further) develop research practices among the group. If you are interested in presenting examples, please contact Gilberto Rescher in English or German (gilberto.rescher@uni-hamburg.de). Apart from this, the lecturer will stress upon his own research experiences to show how he actually uses Grounded Theory as an important kind of guideline in a broader methodological setting.

In addition to your registration, please answer the following questions (English or German):

  • What is your current status (e.g. PhD student?)
  • What is the focus of your interest in Grounded Theory?
  • What sort of content and what feedback do you expect?

You have to register for the International Research Workshop to participate in this course.

Analysing Panel Data with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Timo Friedel Mitze (University of Southern Denmark)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: The one-day workshop is organized as a (basic!) introduction to the use of panel data in the different fields of business and social sciences. It is not meant as an expert course in advanced panel data modelling. Participants should take this into account before enrolling for the course.

Panel data (sometimes also referred to as longitudinal data) can be best described as the combination of cross-sectional and time-series information for individuals, firms, regions, countries etc. The main goal of the workshop is thus to provide participants with insights into why and when applied researchers can benefit from working with panel data. The course gives an overview of the different types of micro and macro models that are available for panel data estimation and shows how to properly estimate these models with the help of the statistical software package STATA. Examples for models covered are pooled OLS (POLS), random and fixed effects type models, REM and FEM, respectively, Difference-in-Difference estimation and panel event studies. On the fly, the workshop will show participants how STATA organizes panel data for the effective use of the above-described models. Building on these basics, a brief outlook on more advanced panel data estimation techniques will be given.

Course Tools: Please bring your laptop computer. STATA can be installed at the beginning of the IRWS. Licences will be provided. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers. A list of introductory readings will be provided to registered participants ahead of the course.

Exemplary Readings: Baltagi, B. Econometric Analysis of Panel Data. 3rd or higher edition, Wiley.