Case Study Research

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Kamil Marcinkiewicz (University of Hamburg)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 14.30 – 18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The case study research is frequently applied in the social sciences. It is particularly popular among political scientists, especially those specializing in area studies. The ubiquity of the case study research contrasts with the scarcity of theoretical reflection on its core methodological aspects. Also the benefits of comparative analyses are often underestimated. In this course participants will have an opportunity to learn more about what the case study research is, what are its weakness and strengths and how should we go about the core question in designing a case study: selection of cases. The course combines lectures with practical exercises and discussion of students’ projects.

Recommended literature and pre-readings:

  • Gerring, J. (2007). Case Study Research: Principles and Practices (pp. 17-63). Cambridge: Cambridge University Press.
  • George, A. L., & Bennett, A. (2005). Case Studies and Theory Development in the Social Sciences (pp. 1-34). Cambridge, MA: MIT Press.
  • Rueschemeyer, D. (2003). Can One or a Few Cases Yield Theoretical Gains? In J. Mahoney and D. Rueschemeyer (Eds.), Comparative Historical Analysis in the Social Sciences (pp. 305-337) Cambridge: Cambridge University Press.
  • Hall, P.A. (2008). Systematic Process Analysis: When and How to Use it. European Political Science, 7(3), 304-317.

You have to register for the 10th International Research Workshop to participate in this course.

Analyzing Panel and Spatial Data

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Assoc. Prof. Timo Friedel Mitze (University of Southern Denmark/Department of Business and Economics)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 14.30 – 18.00 h

Max. number of participants: 30

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course is basically divided into two parts: Part 1) Analyzing panel data. Part 2) Spatial Data Analysis

Part 1): Analysis of Panel Data:

This part of the course is an introduction to the panel data analysis and it provides some insights into why we use panel data. What kinds of models are available for panel data and how do we estimate such models. It also covers some extensions to the basic panel data models and finally there will be a session where you will learn how to estimate panel data using STATA.

Prerequisite: Basic knowledge of Econometrics. OLS, GLS. Please bring your laptop computers with STATA installed on it.

Recommended literature and pre-readings:

  • Relevant Chapters in Cameron, A.C. und Trivedi, P.K. Microeconometrics: Methods and Applications, 2005, Cambridge University Press, Chapter V

Part 2): Spatial Data Analysis

In research fields such as regional science, quantitative sociology and business analysis as well as real estate, labor and health economics (to name just a few), researchers are increasingly aware of the fact that “space matters”. Thus, the goal of this workshop module is to equip participants with the basic knowledge about methods and tools currently available in “spatial statistics” and “spatial econometrics”. Besides presenting the general logic and theoretical foundations of these modeling approaches for variables with an explicit geographical context, a strong focus lies on illustrating the potential for applied work with these tools in the software package STATA. The module is structured as follows: After a brief introduction of the historical evolution of spatial data analysis, different research settings in economics and related research fields are outlined, which may call for the explicit use of spatial estimation techniques, for instance, in order to identify the importance of space-time autocorrelations and neighboring effects (spatial spillovers). Following this introduction, the concept of the spatial weighting matrix is introduced and statistical approaches to measure and visualize the degree of spatial dependence for a variable under study are presented. Moving from univariate to multivariate modeling techniques, the course then derives estimation techniques used in the field of spatial econometrics and links this theoretical knowledge with hands-on applications for different spatial datasets. Finally, to serve as an outlook on future research possibilities, state-of-the-art concepts such as spatial panel data models and spatial limited dependent variable models will be presented. Datasets and STATA ado-files will be provided ahead of the course and should be installed on the participants’ computers.

Prerequisite: Basic knowledge of Econometrics. OLS, GLS.  Please bring your laptop computers with STATA installed on it.

You have to register for the 10th International Research Workshop to participate in this course.

Developing Theoretical Contributions

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Sascha Albers (University of Antwerp)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

All research is based on theory, but not all theory is based on research. If this claim is true, it is essential for every scholar to understand what theory is, what theory is not, which types of theory there are, how to skillfully apply, extend, build on and connect extant theories and even, how to develop new theory. In this course we will examine why this is the case and work to systematically build understanding on how to develop theory and conceptual contributions. In working on theory and conceptual paper development we intend to deepen participants’ appreciation of theory building and to assist them to craft potentially valuable and effective research papers. The course has a practical orientation in that it is application centered. It is not a philosophy of science course.

Recommended literature and pre-readings:

  • Bettis, R. A., Gambardella, A., Helfat, C., & Mitchell, W. 2014. Theory in strategic management. Strategic Management Journal, 35(10): 1411-1413.
  • Corley, K. G. & Gioia, D. A. 2011. Building Theory about Theory Building: What Constitutes a Theoretical Contribution? Academy of Management Review, 36(1): 12-32.
  • Whetten, D. A. 1989. What Constitutes A Theoretical Contribution? Academy of Management Review, 14(4): 490-495.

You have to register for the 10th International Research Workshop to participate in this course.

Reproducible Research with R and RStudio

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Detlef Steuer (Helmut Schmidt University/University of the Federal Armed Forces Hamburg)

Date: Thursday, 29/09/16 (09:30 – 18:00)

Max. number of participants: 15

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

How do you guarantee a colleague will get the same results if trying to re-create your analysis? How do you guarantee you remember all the details auf the simulations behind your nice paper? That is where Reproducible Research comes to the rescue.

The first part of the workshop will give an introduction into the ideas and concepts of reproducible research. It will be explained why RepRes is a wonderful idea and why we have the tools at hand, if we use R and RStudio.

In the second part the learned should be applied. The participant should type some reproducible documents and such gain some hands-on experience. A computer with R / RStudio should be brought to get the most out of the course.

You have to register for the 10th International Research Workshop to participate in this course.

Questionnaire Design

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. David Richter (German Institute for Economic Research – DIW Berlin)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 14.30 – 18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course aims to provide an overview of the theoretical basics and empirical evidence related to questionnaire design. The cognitive process of survey responding, challenges of designing effective survey questions including aspects of proper question wording and optimal response formats, as well as pretest techniques for evaluating survey questions will be discussed.

You have to register for the 10th International Research Workshop to participate in this course.

Qualitative Interviewing

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Nicolas Legewie (German Institute for Economic Research – DIW Berlin)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

In this course, participants will learn the basics of qualitative interviewing. We will work with a standard guided interviewing technique. In three sessions we will cover issues of research design (research questions and case selection), designing interview guidelines, conducting interviews, and analyzing qualitative interview data. The structure of the course follows a workshop format, with participants practicing design, interviewing, and analytic skills in individual and group exercises.

Participants who attend this workshop will have familiarized themselves with relevant methodological and practical issues of qualitative interviewing and gathered first experiences designing, conducting, and analyzing qualitative interviews.

Basic knowledge on methods of empirical social research are required. No previous knowledge on qualitative methods is necessary.

You have to register for the 10th International Research Workshop to participate in this course.

Introduction to Network Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Andrea Knecht (Independent Researcher)

Date: Thursday, 29/09/16 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The focus of social network analysis lays on relations among actors. These relations may merge, show specific structures, have effects, and evolve. Applications of social network analysis can be found in various fields of social research. The workshop is intended to give an introduction to fundamental ideas and applications. Participants become familiar with relevant theoretical arguments and basic statistical methods. We address typical issues related to social network analysis in practice and (if applicable) discuss research projects of participants. Prior knowledge is not required but does not present an obstacle.

Course topics cover

  • Classic and typical applications of sna
  • Fundamental concepts and theoretical approaches
  • Methods for data collection
  • Basic statistics on the individual and network level
  • Discussion of network projects

Recommended literature and pre-readings:

  • Freeman, L. (2004). The development of social network analysis. A Study in the Sociology of Science.
  • Scott, J. (2012). Social network analysis. Sage.

You have to register for the 10th International Research Workshop to participate in this course.

Academic English Writing

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Jonathan Mole, (Europa-Universität Flensburg)

Date: Thursday, 29/09/16 (09:30 – 18:00)

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Writing an academic text can be a daunting and complex task requiring knowledge of a range of accepted writing conventions as well as the ability to construct sentences that are idiomatically and grammatically correct. This course aims to highlight a range of important components in the writing process through analysis and practice using authentic academic texts. Topics covered include: academic style (formality, impersonal and objective language, passive voice, caution, nominalisation); structure at sentence, paragraph and document level; reporting verbs and their forms; coherence and cohesion.

Requirement of students: Please supply at least two weeks before the workshop begins an abstract or proposal for your research project, or a similar extract of academic text that you have written. English language skills on CEFR level B2/C1.

You have to register for the 10th International Research Workshop to participate in this course.

Data Analysis with R

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Marco Lehmann (University Medical Centre Hamburg-Eppendorf)

Date: Monday, 26/09/16 – Wednesday, 28/09/16 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course introduces the programming language R used for statistical analyses. The beginning of each lecture comes with a demonstration of programming and statistical functions that will be elaborated in the course of study. The students will then practice with many statistical examples. In addition to statistical functions the course will introduce the definition of R as a programming language and its syntax rules. Students will further learn to use R’s scripting capabilities. Successful participation requires basic knowledge in descriptive and inferential statistics. The students are encouraged to bring their own laptops with the free software R (www.r-project.org/) and RStudio (www.rstudio.com/) installed.

Basic knowledge in descriptive and inferential statistics is recommended.

Recommended literature and pre-readings:

  • Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.

You have to register for the 10th International Research Workshop to participate in this course.

Call for Papers: Post-Growth Organization

Special Issue of Management Revue
Post-Growth Organization

Guest Editors:
Matthias Rätzer, Technical University Chemnitz, Germany
Ronald Hartz, Technical University Chemnitz, Germany
Ingo Winkler, University of Southern Denmark

For a couple of years now growth-driven societies have been in a permanent state of crisis. Since 2007 the global financial crisis and its aftermath are challenging our ideas of growth, well-being, consumption and work within global capitalism. Consequently, critical scholars in management and organization studies have begun to advocate alternative forms of organization and to problematize the collective imagination that ‘there is no alternative to growth’ (Parker et al. 2014; Atzeni 2012).

One important analytical dimension within the search for alternatives relates to the limits of growth in its economic, ecological and social dimension. For example, Meadows et al. (2004) explicate that a finite (world) system cannot handle an everlasting orientation toward growth without running into a collapse. Hirsch (1976) argues that social rise in a stratified society smolders, leading to social imbalances in the long term. Several authors discuss economic restrictions under the name of de-growth (Georgescu-Roegen 1977; Latouche 2009; Martínez Alier et al. 2010; Schneider et al. 2010; Kallis 2013). Schneider et al. (2010) point towards unfulfilled expectations in the context of creating win-win-situations and question the possibility of sustainable growth through technological and efficiency improvements. Relative to the social context, others discuss the label steady-state-economy, which challenges the relationship between growth and labor, solvency and consolidated public finances (Daly 1972, 1973; Lawn 2011; Blauwhof 2012).

However, there exist only few contributions discussing organizational alternatives to an orientation toward growth (Cheney et al. 2014). Some authors address growth neutral enterprises (Bakker et al. 1999; White/White 2012). Others note that neither governments nor private sector executives have any incentives supporting the development of a post-growth environment (e.g. Latouche, 2006; Ayres, 2008; Martínez Alier 2009). Therefore, the specific aim of this special issue is to substantiate the debate on post-growth, steady-state and de-growth from an organizational perspective. How can organizations respond to the limits of economic growth? How can organizations, from a post-growth perspective, promote their social worth as opposed to their monetary worth? How can organizations implement the elements of a post-growth economy, such as cutting-down and slowing down, a balance between sufficiency and dependency on consumption, institutional innovations for the society, the environment and regional economy (Paech, 2016)?

In addressing post-growth organizations (PGOs), we assume alternative organizations, featuring individual autonomy and respect, an orientation towards solidarity and cooperation, and responsibility to the future (Parker et al., 2014) to constitute a fertile ground for PGOs. Furthermore, we could imagine PGOs to develop from associations, growth neutral enterprises, co-operations, solidarity organizations, grass-root movements or even ‘traditional’ enterprises. Eventually, we do not restrict our focus on PGOs to the economic domain, but also take social and ecologic concerns, such as social entrepreneurs, into account. We call for contributions discussing different perspectives on PGOs, investigating their characteristics and limits. Furthermore, we embrace contributions investigating the range and coverage of PGOs as an organizational possibility in a future, post-growth society.

The contributions to this special issue should address one or more of the following questions:

  • What characterizes the organization and the management of ‘post-growth organizations’ (PGOs)?
  • Which role do the principles of autonomy, solidarity and responsibility play in PGOs? What kind of problems, contradictions and conjoint amplification are observable regarding these principles?
  • Do PGOs enable us to cure some of the organizational ills created by a narrow focus on economic growth?
  • What are the limits and prospects of PGOs in the transformation of capitalism?
  • What organizational practices, tools and instruments are important in PGOs (e.g. accounting practices, compensation practices, decision making, regulations of working time, work-life balance, forms of participation etc.)?
  • Is it possible to turn traditional organizations into PGOs?
  • Which strategies (e.g. overcoming of externally defined difficulties, internal processes of storytelling, micro politics, adjustment of power) can be identified in the constitution and management of PGOs and which practices in PGOs are working well and which are not?
  • This is not an exhaustive list.

Deadline
Potential contributors to the Special Issue of Management Revue are encouraged to submit an abstract of 1-2 pages before 30 September 2016 electronically via the online submission system at http://www.management-revue.org/submission/ using ‘Post-Growth Organization’ as article section. Contributors will receive feedback and an invitation to submit a full paper by the end of October 2016.

Full papers must be submitted by 31 March 2017. All contributions will be subject to a double-blind review. Papers invited to a ‘revise and resubmit’ are due 31 August 2017.

Looking forward to hearing from you!
Matthias Rätzer
Ronald Hartz
Ingo Winkler