Author Archives: Simon Jebsen

Data Analysis with R

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Marco Lehmann, UKE Hamburg

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (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 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.

Requirement of students: Basic knowledge in descriptive and inferential statistics is recommended.

Recommended literature and pre-readings:

  • Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.
  • Wollschläger, Daniel (2012). Grundlagen der Datenauswertung mit R (2. Aufl.). Berlin: Springer.

You have to register for the 12th International Research Workshop to participate in this course.

Writing Your Literature Review

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Jun.-Prof. Dr. Katharina Stornig, Justus-Liebig-Universität, Gießen and Dr. Paul Vickers, Universität Regensburg

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (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, whatever the discipline and however original, draws on existing studies. Any research project necessarily positions itself in relation to existing empirical, theoretical and methodological debates. This course provides practical insight and advice on how to write a literature review (Forschungsstand) providing an overview of the “state of the art”. The course will begin with insights on tips, tricks and tactics for tackling the literature review, including collecting and synthesizing literature, summarizing existing debates, and providing advice on academic writing in English and German. The sessions will also involve group work and focused feedback on individual projects.

Requirement of students: Each participant sends at least one week in advance of the course an extended abstract (Exposé) of their research project.

Recommended literature and pre-readings:

  • Patrick Dunleavy. How to Plan, Draft, Write and Finish a Doctoral Thesis or Dissertation. Palgrave: 2003.
  • Jose L. Galvan. Writing Literature Reviews: A Guide for Students of the Social and Behavioral Sciences. University of Michigan: 2004.
  • Ansgar Nünning/Roy Sommer, Hrsg. Handbuch Promotion. Forschung – Förderung – Finanzierung. Metzler: 2007.

You have to register for the 12th International Research Workshop to participate in this course.

Social Network Analysis

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Raphael Heiberger, University of Bremen

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (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 rising prominence of social network analysis (SNA) has been mirrored in the development of specialized tools and computer programs for various kinds of networks. This general trend has been enhanced by the current data revolution. Innovative methods to study social networks are often developed in the R-framework. The workshop introduces various R-packages on SNA and enables participants to construct, analyze and visualize network data. First, we will concentrate on the different logic of each package in terms of graph initialization, their general advantages and disadvantages, and how to overcome those differences. After practising how to treat network data in R, we will focus on the utilization of a variety of network measures describing both actor positions and whole networks. Additionally, there exist many built-in algorithms for community detection and network evolution that can be easily applied after the first steps. After a short explanation of the mathematical and theoretical intuition of the concepts in question, we will apply them to multiple empirical examples.

Requirement of students: Experiences with R might be helpful but are not a requirement. The workshop uses RStudio as a development environment. Please install R and RStudio prior to the workshop. To install, follow these steps:

  1. Download the R-installer from https://cran.r-project.org. Select and download the latest installer suitable to your operating system.
  2. Run the installer. Default settings are fine.
  3. Download RStudio https://www.rstudio.com/products/rstudio/download.
  4. Once the installation of R has completed successfully (and not before), run the RStudio installer.
  5. Open RStudio. It should open a window that looks similar to the image attached.
  6. Install R packages required for the workshop. To do that just type in the console install.packages(’MYLIB’) where MYLIB is a placeholder for the various packages we will need, especially:
    igraph
    igraphdata
    statnet
    ergmharris
    intergraph
    reshape2
  7. You can see if the package installation was successful by just loading a package
    with library(MYLIB). Note that there are no quotes now.

Recommended literature and pre-readings:

  • Marin, Alexandra & Barry Wellman (2011): Social Network Analysis: An Introduction. In: John Scott & Peter J. Carrington (Eds.): Sage Handbook of Social Network Analysis. London/New Delhi: Sage, pp. 11-26.
  • Hanneman, Robert A. & Mark Riddle (2011): Concepts and Measures for Basic Network Analysis. In: John Scott & Peter J. Carrington (Eds.): Sage Handbook of Social Network Analysis. London/New Delhi: Sage, pp. 340-370.

You have to register for the 12th International Research Workshop to participate in this course.

Grounded Theory

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Christine Moritz, Feldpartitur GmbH

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (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 key purpose of this workshop is to offer a comprehensive introduction to Grounded Theory and it is both, theoretically and practically, orientated. First, participants meet the so-called “essentials”: research design; data collection, open/axial/selective coding, categorizing, writing memos and theoretical sampling (the subjects theoretical sensitivity and generating theory will only be touched), then, second, examples might exercise and clarify these concepts. To assist participants to develop valuable and effective research practices, exemplars from current research projects will be assessed and critically reflected. In addition to your registration please submit a brief abstract (1-2 pp.) and answer following questions (en/ger):

  • 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?

Requirement of students: Brief abstract answering the above-mentioned questions.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.

Qualitative Interviewing

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Dr. Sarah Potthoff, Ruhr-University Bochum

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (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 purpose of this course is to familiarize participants with the basics of qualitative interviewing. The course introduces methodological and practical aspects of different forms of qualitative interviews like guided interviews, narrative interviews and focus groups. How are these different kinds of interviews different, what are their shared fundamentals, and what makes a good interview in which circumstance?

The course covers issues of research design, including the selection of research questions, methods, and sampling strategies. The participants will learn to conceptualize interview guidelines and to conduct interviews – guided as well as narrative interviews. In addition, frequent mistakes in conducting qualitative interviews and challenges of research ethics will be discussed.

Requirement of students: None.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.

Data Analysis with Stata

Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Tobias Gramlich, Hesse State Statistical Office

Date: Monday, 10/09/18 – Wednesday, 12/09/18 (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:

Stata is a statistical program package widely used (not only) in the social and economic sciences; it is used for data management, statistical graphics and analysis of quantitative data. Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics. The course should enable participants to prepare their data for analysis, perform adequate analysis using a statistical computer program and document these tasks to keep them reproducible.

For Beginners with no or very little Stata knowledge!

Course topics cover:

  • “What You Type is What You Get”: Basic Stata Command syntax
  • Getting (and Understanding) Help within Stata: Stata Built-in Help System
  • Basic Data Management: Load and Save Stata Datasets, Generate and Manipulate Variables, Describe and Label Data and Variables, Perform Basic uni- and bivariate Analyses, Change the Structure of your Data
  • Basic Stata Graphics: Scatterplot, Histogram, Bar Chart
  • Working with “Do-” and “Log-” Files

Requirement of students: Statistical concepts will not be part of the course, so participants should have some very basic knowledge of statistics.

Recommended literature and pre-readings: None.

You have to register for the 12th International Research Workshop to participate in this course.

Hamburg International Conference of Logistics (HICL 2018) – Ph.D. seminar (12.09.2018)

We would like to inform you that the Hamburg International Conference of Logistics (HICL 2018) is offering a Ph.D. seminar on the 12. Sep 2018 for doctoral candidates.

The seminar is curated by Prof. Dr. Kai Hoberg (Supply Chain and Operations Strategy, Kühne Logistics University) in workshop form aiming to promote an understanding of new research opportunities in logistics and supply chain management that arise due to digitalization. These opportunities relate, for example, to additive manufacturing, IoT, analytics and new business models driven by digital technology. The proposed methodologies focus on modeling and empirical research. The workshop is conducted under the guidance of experienced researchers. The get-together is also meant as a networking opportunity and a reduced-rate access to the conference for those young researchers that are not yet ready to submit a full paper.

Currently, there are only 4 seats left – guest vouchers for full conference participation are handed out to all participants at the Ph. D. seminar day.

For registration, please use the following link: https://hicl.org/tickets

management revue – Socio-Economic Studies, Vol. 29, No. 1 (Challenging Demands in the Modern Workplace)

1st Issue 2018
management revue – Socio-Economic Studies, Volume 29

Special Issue ‘Challenging Demands in the Modern Workplace’
Guest Editors: Sascha Ruhle, Johannes Siegrist, Stefan Süß, Eva-Ellen Weiß

Contents

Sascha Ruhle, Johannes Siegrist, Stefan Süß, Eva-Ellen Weiß
Editorial: Challenging Demands in the Modern Workplace

Sebastian Raetze, Silke Geithner, Gabriele Fassauer
Demands, Stressors, and Resources in Co-Configured Project Work: Case Study of a Construction Company

Karina Becker, Thomas Engel
Temporary Workforce Under Pressure: Poor Occupational Safety and Health (OSH) as a Dimension of Precarity?

Eva Brosch, Carmen Binnewies
A Diary Study on Predictors of the Work-life Interface:The Role of Time Pressure, Psychological Climate and Positive Affective States

Susanne Blazejewski, Eva-Maria Walker
Digitalization in Retail Work: Coping With Stress Through Job Crafting

Book Reviews
Dewe, Philip J. & Cooper, Cary L., Work Stress and Coping: Forces of Change and Challenge (by Ingo Klingenberg)

Korunka, Christian & Kubicek, Bettina (Eds): Job Demands in a Changing World of Work: Impact on Workers’ Health and Performance and Implications for Research and Practice (by Corinna Steidelmüller)

Cooper, Cary L. & Quick, James Campbell (Eds.): The Handbook of Stress and Health: A Guide to Research and Practice (by Eva-Ellen Weiß)

Call for Papers

What Makes a Job Good or Bad? Standards of Good Work Revisited
Submission deadline: 31 August 2018

Forthcoming Issues
Digital Working Life Continuation

Guest Editors: Mikael Ottosson, Wenzel Matiaske, Simon Fietze

Professional development opportunity: student research supervision course (6.-10.08.2018)

What makes a great research supervisor? This summer school course appeals to anyone who is currently involved in supervising student research or projects at undergraduate and/or postgraduate level, or who wants to begin supervising student research or projects. Using a range of interactive approaches, we will explore good supervision practice, troubleshoot the challenges for effective supervision, and collaborate to produce a resource for you to take back to your organisations to share and implement effective supervision in practice.

Further information and registration

MREV – Call for Papers: What Makes a Job Good or Bad? Standards of Good Work Revisited

 

Guest Editors:
Dorothea Alewell, University of Hamburg (Germany)
Simon Fietze, University of Southern Denmark
Wenzel Matiaske, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg (Germany)

Special Issue

Standards of good work – in economics, law, sociology and industrial psychology – are rooted in ideas of protecting labour against exploitation and alienation. Certainly, these basic ideas have not lost their importance. However, organisations as socio-technological systems have radically changed during the last decades, which entails the need for revision of the implications formulated in the 1960s. The front against Taylorism and the bureaucratic phenomenon will prove fruitless in times of the flexible organisation and subsequently flexible women and men. E. g.:

  • Technical progress may result not only in a reduction of workload but also in a devaluation of human capital which is bounded to persons, relatives and communities. New sourcing strategies of enterprises for example via crowd and click work platforms will change the structure of relevant labour markets.
  • Labour law may foster the unintended effect of building up a non-core workforce which is excluded from regulations which protect regular employees. The questions of how protection can be organised elsewhere, and whether monetary instruments as an unconditional minimum wage are a good remedy are still debated intensely.
  • The additional margin for manoeuvre intended as a resource enabling coping in models of work-related stress has converted to a stressor itself in flexible organisations.
  • Changes of value orientations, which are out of the perspective of social research since decades, may result in altered individual demands and hence on answers to the question what makes a good job.
  • The same is true for the change in the structure of the workforce, for example concerning age, gender, generation and religious orientation, on the collective level.

This is not an exhaustive list.

The special issue welcomes empirical studies as well as theoretical papers.

Deadline
Full papers for this special issue of management revue – Socio-Economic Studies must be submitted by August 31st, 2018. All contributions will be subject to double-blind review. Papers invited to a “revise and resubmit” are due January 31th, 2019. The publication is scheduled for issue 3/2019. Please submit your papers electronically via the online submission system at http://www.mrev.nomos.de/ using “SI Standards of Good Work” as article section.

Submission Guidelines
Manuscript length should not exceed 8,000 words (excluding references) and the norm should be 30 pages in double-spaced type with margins of about 3 cm (1 inch) on each side of the page. Further, please follow the guidelines on the journal’s website and submit the papers electronically by sending a “blind” copy of your manuscript (delete all author identification from this primary document).

Hoping to hear from you!
Dorothea Alewell
Simon Fietze
Wenzel Matiaske