New Book: Case Study Research Approaches, Methods, Contribution to Theory

9783957100757Hans-Gerd Ridder

Case Study Research
Approaches, Methods, Contribution to Theory

This book outlines the richness of case study approaches in their contribution to theory. It offers master and doctoral students a systematic overview of how to conduct case study research considering the variety of its approaches.

A continuum of theory is outlined in order to clarify the contribution of research designs to theory. Research topics, research questions, and the role of the theoretical and empirical state of the art are discussed. The conceptual framework is displayed as an orientation, guiding the study theoretically as well as methodologically.

The core of the book is the investigation into the main approaches of case study re-search. Exploratory, explanatory, constructivist, and extended case study approaches are outlined and compared. Commonalities and differences in data collection and data analysis within case study research are deepened.

Hans-Gerd Ridder holds the Chair in Human Resource Management at the Leibniz Universität Hannover. His research focuses on strategic HRM in Profit and Non Profit Organizations.

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Neues Buch: Wahrscheinlichkeits- und Matrizenrechnung für Sozialwissenschaftler

9783957100733Pascal Jordan

Wahrscheinlichkeits- und Matrizenrechnung für Sozialwissenschaftler

Die Themengebiete Wahrscheinlichkeitsrechnung und Lineare Algebra bilden die mathematische Grundlage zahlreicher quantitativer Analyse- und Forschungsansätze in den Sozialwissenschaften. Sie sind dabei nicht nur zum Verständnis klassischer Auswertungsansätze relevant, sondern insbesondere
auch um neu adaptierte statistische Verfahren nachvollziehen und integrieren zu können. Dieses Buch bietet eine theorieorientierte Einführung in die Grundlagen der Wahrscheinlichkeitsrechnung und der Linearen Algebra. Im ersten Teil werden nach einer Einführung der drei Kernbegriffe der Wahrscheinlichkeitstheorie (Ereignis, Wahrscheinlichkeit, Zufallsvariable) zentrale Sätze der Wahrscheinlichkeitstheorie behandelt und das Unabhängigkeitskonzept definiert. Es werden hierauf basierend generelle Prinzipien zur Lösung
wahrscheinlichkeitstheoretischer Probleme dargestellt, kontraintuitive Resultate erläutert sowie häufig auftretende Fallstricke hervorgehoben. Ein separates Kapitel behandelt als Anwendungsbeispiel die statistische Theorie derAuswertung von Experimenten zur Gewinnung kausaler Aussagen.

Der zweite Teil befasst sich mit der Vektor- und Matrizenrechnung. Neben elementaren Begriffen der Vektorrechnung werden hierbei insbesondere auch die Lösung linearer Gleichungssysteme sowie das fortgeschrittene Konzept eines Eigenvektors bzw. eines Eigenwerts behandelt. Anwendungen der
Matrixrechnung werden sowohl im Rahmen des linearen Regressionsmodells als auch für den Bereich der Indexkonstruktion dargestellt.

Schlüsselwörter: Wahrscheinlichkeitstheorie, Lineare Algebra, Matrix- Vektorrechnung, Statistik, Stochastik

Pascal Jordan ist promovierter Statistiker. Seine Forschungsinteressen liegen in den Gebieten Latente-Variablen- Modelle, stochastische Prozesse und nichtlineare Optimierung unter Nebenbedingungen.

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Reminder/Update HSU-Doktorandenkurs: Combining Rigor and Relevance with Necessary Condition Analysis (NCA)

Institution: Helmut-Schmidt-University Hamburg

Lecturer: Jan Dul, Rotterdam School of Management, Erasmus University

Date: 20.10.2016 – 10 a.m. to 15 p.m.

Place: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043 Hamburg

Room: Seminarraum 0105

Language of instruction: English

Registration: Please notify Dr. Sven Hauff via email (

Necessary Condition Analysis (NCA) is a novel methodology, recently published in Organizational Research Methods (Dul, 2016). Reactions of editors and reviewers of papers that use NCA are very promising. For example, an editor of a 4-star journal said:
“From my perspective, [this NCA paper] is the most interesting paper I have handled at this journal, insofar as it really represents a new way to think about data analyses”.

How does NCA work?
NCA understands cause-effect relations in terms of “necessary but not sufficient”. It means that without the right level of the condition a certain effect cannot occur. This is independent of other causes, thus the necessary condition can be a bottleneck, critical factor, constraint, disqualifier, etc. In practice, the right level of necessary condition must be put and kept in place to avoid guaranteed failure. Other causes cannot compensate for this factor.

Whom is NCA for?
NCA is applicable to any discipline, and can provide strong results even when other analyses such as regression analysis show no or weak effects. By adding a different logic and data analysis approach, NCA adds both rigor and relevance to your theory, data analysis, and publications. NCA is a user-friendly method that requires no advanced statistical or methodological knowledge beforehand. It can be used in both quantitative research as well as in qualitative research. You can become one of the first users of NCA in your field, which makes your publication(s) extra attractive.

What will be discussed in the seminar?
The seminar consists of two parts:

  1. The first part (one hour) is open to anyone who is interested in NCA and its potential value. We will discuss the method and its applications in different management fields.
  2. Immediately afterwards, in the second part (1-3 hours depending on the number of participants) we will discuss the method in more detail. In particular we will focus on the participants’ research areas and datasets. If you are interested in a demonstration of the method on your dataset, please bring your dataset (scores of the variables) on a USB drive (e.g., excel.csv file). Normally, an NCA analysis takes less than 5 minutes to get the main results.

More information:

  • Dul, J. (2016) Necessary Condition Analysis (NCA): Logic and methodology of “necessary but not sufficient” causality, Organizational Research Methods, 19(1), 10-52.

GESIS: Research associate for German Microdata Lab

The GESIS department “Monitoring Society and Social Change” is seeking for the German Microdata Lab (GML) a

Research Associate (f/m)
(salary group EG 13 TV-L, full time, initially limited for 4 years)

starting at the earliest possible date in Mannheim, Germany.

Your areas of responsibility include:

  • Development and expansion of microdata based service and research to European social indicators
  • Development and expansion of social indicators on a meso- and makro-level using European Microdata
  • Development of analytical tools (e.g. regarding weighting, imputation, non-response)
  • Research including publication and presentation of findings

Your tasks are:

  • Completed thesis in sociology respectively empirical social science
  • Excellent knowledge of empirical social research methods
  • Experience in the data management and analysis of European microdata
  • Research interest in the area of social structure of societies and European comparative analysis
  • Skills in SPSS, Stata, SAS or R

For further information concerning job description please contact Heike Wirth. In case of questions concerning the application process please contact Michaela Schwarzhaupt via Email.
Please mind that we only accept online applications.

You can apply here until November, 5th 2016. The job ID is: DBG-15

SDU Koldning: Social Network Analysis (13.-17.02.2017)

Institution: University of Southern Denmark (SDU), Department of Entrepreneurship and Relationship Management

Responsible/coordinator: Professor Thomas Schøtt, Dept. of Entrepreneurship and Relationship Management, University of Southern Denmark.

Lecturer: Prof. Thomas Schøtt.

Location: University of Southern Denmark, campus Kolding, near train station in Kolding, 6th floor Guest Café.

Time: 13-17 February 2017, Monday to Friday, 9:00-18:00 daily.

Teaching language: English.

Application: By 1 December 2016 to: (early registration is recommended, as the course expectedly fills up).

Fee: 5500 DKK.

Purpose and content: Networks can be mapped as relations among actors. An actor may be a person, an organization, a nation, a region or some other entity that can engage in action. For example, we may examine – qualitatively and quantitatively – how networks constrain and enable actors’ thoughts and behaviors. Networks are analyzed in sociology, psychology, anthropology, political science, history, geography, communication, and studies of policy, administration and business. Introductions to principles of network analysis can be read via The aim of the course is to empower the participants to analyze networks and to integrate theory and methodology in the analyses of social networks, specifically business networks.

The course will teach the general theoretical and methodological principles and apply them to business networks. The course has two goals. First, the participants will be exposed to, and discuss, a variety of conceptual and theoretical perspectives on the study of business networks, along with methods utilized in these theoretical frameworks. Second, the participants will learn to conduct quantitative analyses of networks. Training will be offered in analyses at the level of the whole system, at the level of subgroups, and at the level of individual actors.

The format combines lectures and discussion with training in analyses. We use SPSS and network analytic software such as UCINET and NETDRAW which each student will have to install. Data on some networks will be made available by the instructor (e.g. some data on interlocking directorates among enterprises in a city), but the participants are also welcome to bring some data on networks (if you have some data on networks, please email prior to the course).


  • Analyzing Social Networks, Stephen Borgatti, Martin Everett (Sage 2013) (read this around the time you register for the course).
  • Doing Social Network Research, Garry Robins (Sage, 2015). (read this around the time you register for the course).
  • UCINET software package, that you buy from (40 $ for students).


  • Introduction to Social Network Methods. Robert Hanneman and Mark Riddle (2005)
  • Social network analysis. John Scott (second edition is preferable)
  • Analysis of social networks. David Knoke et al. (second edition is preferable)
  • Applied network analysis. Ronald Burt et al.
  • Changing organizations: business networks. David Knoke
  • Social capital: theory and research. Nan Lin et al.
  • Achieving success through social capital. Wayne Baker
  • Networking smart. Wayne Baker
  • Networks in the global village. Barry Wellman
  • Social structures: a network approach (second edition). Barry Wellman et al.
  • Social network analysis. Stanley Wasserman et al.
  • Network models of the diffusion of innovations. Thomas Valente
  • Social Networks (journal), see at (click on Publications)
  • Connections (journal), see at (click on Publications)
  • Journal of Social Structure, published at
  • “Network analysis” by Ronald Burt and “Network models” by Thomas Schøtt, in Structure Manual (236 pages) which can be downloaded from


Participants: The course is intended for researchers and PhD students who are studying business networks and who wish to acquire this network analytic tool and the skill to map and analyze networks. The course does not presume any acquaintance with network analysis (although familiarity with quantitative research methods will be useful).


Credits/evaluation: 5 ECTS. Certificates of completion will be issued to those successfully completing all requirements of the course (including full attendance and submission of all required assignments). Requirement: A batch of training exercises and reading in December-January. The many training exercises will be assigned by 1 December 2016, and then solutions must be submitted weekly until meeting in the course. The purpose of the many training exercises is to train a basic understanding of ideas and techniques of network analysis.

Further information: Please contact Thomas Schøtt,

HFM Workshop “Big Data, Datenschutz und Wettbewerb” (04.11.2016)

Hamburger Forum Medienökonomie
Interdisziplinärer Workshop: Big Data, Datenschutz und Wettbewerb
04. November 2016

Die Digitalisierung aller möglichen Lebensbereiche hat zu einer enormen Zunahme der in digitaler Form zur Verfügung stehenden Informationen geführt. Big Data ermöglicht nicht nur die Verbesserung bestehender und Schaffung neuer Produkte und Dienstleistungen, große Datenmengen erlauben ebenso die Realisierung enormer Effizienzvorteile. Gleichzeitig werden immer neue ökonomische sowie juristische Fragen aufgeworfen, die mit Big Data in Verbindung stehen.

In der digitalen Ökonomie entstehen solche Datensammlungen insbesondere bei der Verwendung entgeltfreier Internetplattformen. Es stellt sich dabei z.B. die Frage, welche Informationen überhaupt erhoben werden, wer die Eigentumsrechte an diesen Daten besitzt und inwieweit Portabilität ermöglicht wird. Eng damit verbunden sind ebenso Fragen des Datenschutzes und des Wettbewerbs.

Aber auch andere Bereiche sind von der Datensammlung nicht ausgenommen. Digitalisierung und Big Data sind heutzutage ebenso präsent in Unternehmen der analogen Welt (z.B. Industrie 4.0). Auch hier stellt sich immer häufiger die Frage nach dem Eigentümer der generierten Informationen oder nach der Notwendigkeit eines neuen Schutzrechts. Nicht zuletzt die Verzahnung beider Welten schafft also eine Reihe neuer Herausforderungen für Ökonomen und Juristen. Der Workshop widmet sich intensiv einem Teil dieser Fragen. Hochrangige Vertreter aus Wissenschaft und Praxis tragen mit ihren Präsentationen zu der aktuellen Diskussion bei. Im Rahmen einer Paneldiskussion besteht im Anschluss Gelegenheit, einige dieser Fragen zu erörtern.

Weitere Informationen und Anmeldung

New Book: Financial Participation of Employees in Europe

2016-10-11-fietze-matiaske-finapart-in-europe-titleDimensions and Perspectives on Financial Participation in Europe
Edited by Ass.-Prof. Dr. Simon Fietze and Prof. Dr. Wenzel Matiaske
2016, 507 pp., pb., € 99.00 ISBN 978-3-8487-1876-4 eISBN 978-3-8452-5941-3

About the book:
Financial participation of employees is a perennial debate in political discussions as well as in business practice and in social sciences research. On the European level in particular attempts have been made during recent years to harmonise and stimulate the instrument of economic democracy and partnership. To date, regulations have been characterised by national law and labour relations. For instance, France has established an obligatory legal framework, whereas small tax incentives are provided in Germany. Therefore, this book combines several national reports with perspectives from different disciplines, e.g. business administration, economic sociology and law. Furthermore, different institutional forms like corporate associations are presented.

With contributions by:
Jens Lowitzsch, Iraj Hashi, Alban Hashani, Jean-Michel Content, Mirella Damiani, Fabrizio Pompei, Andrea Ricci, Herwig Rogge- mann, Simon Fietze, Wenzel Matiaske, Verena Tosch, Maciej Kozłowski, Spartak Keremidchiev, Eric Kaarsemaker, Eric Pout- sma, Nina Pološki Vokić, Maja Klindžić, Ivana Načinović Braje, Mathieu Floquet, Loris Guery, Patrice Laroche, Anne Stevenot, Thomas Steger, Madeleine Dietrich, Christina Beisiegel, Alexander Kern, Thomas Haipeter, Rahma Daly, Marc-Arthur Diaye, Jean-Max Koskievic, Begoña Arregi, Fred Freundlich, Mónica Gago, Maite Legarra, Nerea Lizarraga, Sylvia Gay, Jose Antonio Mendizabal, Ainhoa Larrañaga, Theresia Theurl, Sandra Maria Swoboda

Table of Contents:

Simon Fietze & Wenzel Matiaske

The role of employee share ownership for corporate governance in the aftermath of the financial crisis – a closer look at the Central Eastern European EU Member States
Jens Lowitzsch, Iraj Hashi & Alban Hashani

Financial participation in Europe: Some kind of a dream
Jean-Michel Content

How to overcome the ‘Great Divide’ of the capitalist market society: Development, legal grounds and perspectives of employee capital participation in Germany and Europe
Herwig Roggemann

Historical perspectives on employee ownership in Germany
Alexander Kern

Financial participation in Germany: Management’s and works councils’ view
Simon Fietze, Wenzel Matiaske & Verena Tobsch

Works councils and profit sharing in the German metalworking industry
Thomas Haipeter

The corporate culture of silent partnerships – shareholding vs. participation?
Thomas Steger, Christina Beisiegel & Madeleine Dietrich

Profit sharing in France: Substitute or complement to wages?
Mathieu Floquet, Loris Guery, Patrice Laroche & Anne Stevenot

Employee financial participation: Evidence from Italian firms
Mirella Damiani, Fabrizio Pompei & Andrea Ricci

Employee share ownership in the Netherlands
Eric Kaarsemaker & Erik Poutsma

Government, union and business associations’ perceptions of employee financial participation in Gipuzkoa
Begoña Arregi, Fred Freundlich, Mónica Gago, Maite Legarra, Nerea Lizarraga, Sylvia Gay, Jose Antonio Mendizabal & Ainhoa Larrañaga

Employee financial participation in Polish listed companies – a management approach
Maciej Kozłowski

Employee financial participation in Bulgaria
Spartak Keremidchiev

Determinants of financial participation – two decades of Croatian practice
Nina Pološki Vokić, Maja Klindžić & Ivana Načinović Braje

Workers’ risk attitude and financial participation
Rahma Daly, Marc-Arthur Diaye & Jean-Max Koskievic

Cooperatives: Direct and indirect forms of employee financial participation
Theresia Theurl & Sandra Maria Swoboda

JMP Intro & DOE / Kriging Workshop using JMP and R

Institution: Helmut-Schmidt-University Hamburg, hosted by Univ.-Prof. Dr. Sven Knoth, WiSo (

Presenter: Volker Kraft, JMP Academic Ambassador

Time: 25th November 2016, 10am – 5pm

Location: Helmut-Schmidt-Universität, Holstenhofweg 85, 22043, Hamburg,  WiSo Hörsaal 3 (or PC-Pool)

Registration: Please click here an fill out the form to register for the workshop.

Number of attendees: 25 max. (hands-on only)

10-12: Introduction to JMP, Design of Experiments and Predictive Modeling (live demo & discussion)
12-13: Lunch break – pizza session by JMP
13-17: Kriging Workshop – attendees should have JMP 13 pre-installed (see for 30 days trial license)

Target Group:
Morning: Anybody interested to see JMP 13, or to get ready for the afternoon hands-on workshop.
Afternoon: Anybody with applications that require to work with functions, often of many variables, that are costly to evaluate.
Knowledge of linear regression, statistical modeling, and stochastic processes is helpful but is not required for the workshop. Similarly, basic knowledge of R and/or JMP will be helpful for the hands-on lab component, but is not mandatory.

JMP is an easy-to-use, standalone statistics and graphics software from SAS Institute. It includes comprehensive capabilities for every academic field, and its interactive point-and-click interface and linked analyses and graphics make it ideal for research and for use in statistics courses, from the introductory to the advanced levels. JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel.

The JMP INTRO SESSION introduces the interactive user interface of JMP. Sample applications will focus on Experimental Design and Data Modeling. Get to know about JMP academic resources and where to find help.

KRIGING (or Gaussian process regression) has proven to be of great interest when trying to approximate a costly to evaluate function in a closed form. The principle aim of the workshop is to show how to build useful surrogate models using this approach, and to make clear the assumptions that such models rely on. Furthermore, once it exists, we will show how a surrogate model can be used for optimization.

Lab sessions will use both R and JMP. The main aim of the lab is to quickly find optimal settings of a catapult numerical simulator that can fire the longest shot.

Workshop content and installation instructions for R (packages) and JMP will be shared mid of November.


Reminder – Call for Papers: Demands in the modern workplace

Special Issue of Management Revue
Demands in the modern workplace

Guest Editors:
Sascha Ruhle, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
Johannes Siegrist, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
Stefan Süß, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
Eva-Ellen Weiß, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany

The flexibility of work organization and employment, the growing need for training and development, digitalization of work, the increasing blurring boundaries between work and private life – the list of developments that have shaped the modern working world in recent years is long. Those developments will continue to affect employees as well as organizations and economies. Especially for employees, several of these developments are challenges rather than improvements. Various approaches have increased our understanding of these and similar challenges, including the job demand-control model (Karasek, 1979), leader-member exchange (Graen & Uhl-Bien, 1995; Hesselgreaves & Scholarios, 2014), the effort–reward imbalance model (Siegrist, 2002) and the concept of work-family conflict (Barnett, 1998).

There are numerous indications that demands in the modern work place lead to elevated stress experiences (Sparks et al., 2001; Sverke et al., 2002; Stansfeld & Candy, 2006) and related health consequences (e.g. Schnall et al., 2009; Siegrist & Wahrendorf, 2016). Sources of stress may, for example, be rooted in role overload or even role underload depending on the type of demands (Shultz et al., 2010). Further, research shows that changing working conditions can provoke conflicts between work and private life (e.g., Byron, 2005). In the long run, impairments of job satisfaction and health can result as well in reduced work engagement and elevated turnover intentions (e.g., Kinnunen, 2008; Li et al., 2015). Thus, organizations increasingly aim at improving working conditions in order to keep their employees healthy and productive.

Divers options exist for organizations to tackle these challenges. For example, both supervisor and coworker support have been shown to reduce the negative consequences of demands (Luchman & González-Morales, 2015), and the same holds true for a transformational leadership style (Weiß & Süß, 2016), while an increase in time flexibility might even further strain the individual (e.g., Biron & van Veldhoven, 2016). Another way to deal with workplace demands might be the development of personal resources, which in turn can decrease burnout (Huang et al., 2015) or the adequate design of employees’ task fields (Shultz et al., 2010).

Yet, to answer challenges resulting from demands in the modern workplace, research might benefit from considering not only results from a single discipline, but a combined perspective. Multiple disciplines, like business administration, psychology, sociology, and occupational medicine contribute to, e.g., research on stress and resulting strain (e.g., Ganster & Rosen, 2013). A joint approach might further enhance our understanding of the prevention, occurrence, and the consequences of work demands as multiple perspectives on the area of research are being combined.

Therefore, prospective papers may address, but are not restricted to, the following questions:

  • Which individual and organizational consequences result from the various developments that characterize the modern working world? And how might organizations manage the different technological and economic changes in order to reduce negative consequences for employees?
  • Under what circumstances do particularly problematic work demands arise? What are the differences between various forms of employment and their influences on work demands?
  • How can organizations manage the various demands in the workplace and which approaches are the most promising ones? What possible help can leadership or co-worker support provide to face increasing work demands?
  • What are the socio-structural and economic antecedents of and consequences caused by work demands? Are there burdens which are unequally distributed among different social or occupational classes that account for differences in the exposure to changing demands?

Potential authors
Authors are encouraged to submit research manuscripts that are likely to make a significant contribution to the literature on demands in the modern workplace. The focus of the Special Issue is empirical – qualitative or quantitative – evidence, and we welcome contributions from business administration, industrial and organizational psychology, work sociology, and occupational medicine as well as other disciplines dealing with the topic of the Special Issue.

Full papers for this special edition of “management revue” must be with the editors by 31 January 2017. All submissions will be subject to a double-blind review process. Papers invited for a “revise and resubmit” are due on 31 May 2017. Final decision will be made by September 2017. The special edition will be published in 2017 or 2018. Please submit your papers via email to Sascha Ruhle and Stefan Süß, using “management revue” as a subject.

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 website and submit the papers electronically by sending a “blind” copy of your manuscript (delete all author identification from this primary document), and in a second document information that would typically appear on the document’s title page (title, author names, complete postal addresses, titles, affiliations, contact information including email, and phone).

We look forward to receiving your contribution!
Sascha Ruhle, Johannes Siegrist, Stefan Süß & Eva-Ellen Weiß

Introduction to Regression Analysis

Institution: Fakultät für Betriebswirtschaft, Universität Hamburg

Course Instructor: Dr. Alexa Burmester (Universität Hamburg)

Dates, location: October 10. and 11. 2016; 09:15 – 13:45 h (block course), R. 4030/4031

Course Value: 1 SWS or 2 LP

Course Overview:
This course will give an introduction to regression analysis with Stata.
Course Contents: This course will focus on basic regression analysis. Topics include (1) Data preparation, (2) Summary statistics, (3) Model free evidence, (4) Regression analysis, (5) Check of model assumptions, (6) Nonlinear models & interaction effects, and (7) Panel data.
Individual (or two-person team, with permission) research assignments will be re-quired. Please schedule some time at Monday afternoon for the assignment. Own re-search questions and data are very welcome to be discussed in the course.

Software: Please bring a laptop with Stata 13 or newer. If applicable, you can bring your own data set of your research project.

Please also study the following text:
Backhaus, K., B. Erichson, W. Plinke und R. Weiber (2016): Multivariate Analysemethoden, 14. Auflage, Heidelberg (Kapitel 1: Regressionsanalyse)

Assessment: Assessment will be based on active participation and performance on assignments. Grading for students of University of Hamburg will be pass/fail.

Registration: Please e-mail Alexa Burmester: until 06. October 2016. (Please remember that places will be allocated in order of received registrations.)

Day 1:

  • Data preparation
  • Summary statistics
  • Model free evidence
  • Regression analysis
  • Check of model assumptions

Day 2:

  • Presentation of assignment
  • Nonlinear models & interaction effects
  • Panel data
  • Summary