Author Archives: Simon Jebsen

Rufbereitschaft – Wenn die Arbeit in der Freizeit ruft

Simon Fietze, Monika Keller, Niklas Friedrich, Jan Dettmers (Hrsg.) Rufbereitschaft Wenn die Arbeit in der Freizeit ruft

ISBN 978-3-86618-877-8 (print)
ISBN 978-3-86618-977-5 (e-book pdf)
Rainer Hampp Verlag, München u. Mering 2014, 182 S., € 24.80

Eine erhöhte Verfügbarkeit von Arbeitskraft auch außerhalb der „Normalarbeitszeit“ bis hin zur ständigen Erreichbarkeit wird heutzutage branchenübergreifend oftmals erwartet. Arbeit auf Abruf bzw. Rufbereitschaft sind dabei zwei konkrete Modelle flexibler Arbeitszeiten, die Unternehmen nutzen, um dieser Anforderung gerecht zu werden. Doch wie verbreitet ist Rufbereitschaft und welchen Stellenwert hat diese Arbeitsform für Unternehmen? Und welche Auswirkungen auf die Beschäftigten sind durch Arbeit in Rufbereitschaft zu erwarten?

Ausgehend von diesen Überlegungen ist unser Forschungsprojekt dem Ziel nachgegangen, praxisorientierte Antworten auf die zentrale Frage zu erhalten: Wie kann Rufbereitschaft im Sinne der Arbeitnehmer und Arbeitgeber möglichst gut gestaltet werden? Im vorliegenden Sammelband werden die Befunde des durch das Bundesministerium für Bildung und Forschung (BMBF) und vom Europäischen Sozialfond (ESF) geförderten Projekts „Flexibilität und Verfügbarkeit durch Arbeit auf Abruf“ (RUF) präsentiert und durch Fallbeispiele illustriert, in denen Erfolgsfaktoren und Barrieren bei der Implementierung und Ausgestaltung von Rufbereitschaft identifiziert und diskutiert werden. Darüber hinaus werden Konzepte für eine betriebliche partizipative Arbeitsgestaltung vorgestellt sowie arbeitsrechtliche Aspekte diskutiert.

Schlüsselwörter: Rufbereitschaft, flexible Arbeitszeit, betriebliche Intervention, Arbeitsgestaltung, erweiterte Verfügbarkeit

Die Herausgeber:

Asst. Prof. Dr. Simon Fietze, Assistant Professor für Human Resource Management am Department of Border Region Studies der University of Southern Denmark, Sønderborg. Kontakt: simonf@sam.sdu.dk

Dr. Monika Keller, Wissenschaftliche Mitarbeiterin Arbeitspsychologie, Unfallkasse Nord in Hamburg. Kontakt: monika.keller@uk-nord.de

Dipl.-Psych. Niklas Friedrich, Wissenschaftlicher Mitarbeiter am Arbeitsbereich Arbeits- und Organisationspsychologie, Fachbereich Psychologie der Universität Hamburg. Kontakt: niklas.friedrich@uni-hamburg.de

Jun.-Prof. Dr. Jan Dettmers, Juniorprofessor für Arbeits- und Organisationspsychologie am Fachbereich Psychologie der Universität Hamburg. Kontakt: jan.dettmers@uni-hamburg.de

Bestellung

Management Revue: Call for Papers – Innovation Management and Innovation Networks

Call for papers

Special Issue
Innovation Management and Innovation Networks

Innovation is the creation and transformation of new knowledge into new products, processes, or services that meet market needs. As such, innovation creates new businesses and is the fundamental source of growth in business and industry and can be the key driver for the creation of more sustainable economies and company strategies.

The ability to generate and sustain innovation has become critical for companies as markets grow more global, open, and competitive, and as customer expectations grow more diverse and demanding.

This special issue wants to cover the current issues in innovation management and innovation networks and is interested in topics like:

The impact of new sustainability requirements on the dynamic capabilities that a firm should develop and sustain to remain innovative and therewith competitive in turbulent environments. In particular, which new innovation capabilities are required to integrate environmental, social and financial objectives?
How, and under what conditions, do entrepreneurs in developing countries innovate? And what can be done to support innovation by entrepreneurs in developing countries?
Balancing capability building for radical and incremental innovations. Incremental innovation capabilities consist of skills and competences that refine existing products, while radical innovation capabilities are covering skills which are needed to significantly transform existing products or services. What kind of learning creates capabilities needed for the generation of incremental or of radical innovations? What kind of lessons can be taken respectively how to manage the process of developing capabilities in innovation management?
Analysis of innovation networks: Economic operations and thus innovations are embedded in social relations and structures. Therefore, the organizational units that create innovation are not individual businesses, but usually networks. From a resource point of view, networks hold a variety of advantages for their members, such as access to material and immaterial resources, information and knowledge. How can the new role of intermediaries as an architect of collective exploration and creation of knowledge in open innovation be described? What are the key variables in the process of managing innovation networks? Any kind of discussions and analysis of innovation networks are welcome.

This is not an exhaustive list.

Deadline
Full papers for this special edition of ‘management revue’ must be with the editors by July 31st, 2014. All submissions will be subject to a double blind review process. Please submit your papers electronically via the journal submission system at https://hermes.hsu-hh.de/mrev/ using ‘Innovation Management’ as article section.

Looking forward to hearing from you!

Susanne Gretzinger, University of Southern Denmark, Sønderborg
Simon Fietze, University of Southern Denmark, Sønderborg
Wenzel Matiaske, Helmut-Schmidt-University Hamburg (Germany)

Theoretical and Applied Aspects of Survey Sampling

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Stephanie Eckman (Institute for Employment Research/IAB)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

This course will cover various methods of sample selection, and their advantages and disadvantages. We will also discuss why it is important to analyze survey data using methods that account for its complex design, and how to do in Stata. Students should have had at least previous course in statistics – no prior knowledge of sampling theory is assumed, but students should be comfortable with statistical concepts such as hypothesis testing, variance, standard errors, confidence intervals, etc. In addition, basic knowledge of Stata is required.

You have to register for the 8th International Research Workshop to participate in this course.

Mixed Methods

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Udo Kelle & Dr. Elke Goltz (Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 22

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course will give an overview about current debates regarding the integration of qualitative and quantitative methods in social research and about the most important (agreed-upon and contested) issues in the field. We will discuss different forms of mixed methods, reasons for using such designs and criteria for the assessment of the quality of designs and findings from mixed methods studies. Since mixed methods designs are used to compensate for specific limitations of qualitative or quantitative (mono)methods special emphasis is laid on problems of qualitative and quantitative research –problems of operationalization and measurement, problems of statistical inference, of generalizability and sampling, of (causal) explanation, theory testing and theory generation, both in qualitative and quantitative research. We will demonstrate how such problems can be detected and dealt with in a mixed methods design. Finally, it will be shown how qualitative and quantitative findings from a mixed methods study can be meaningfully integrated and how convergent, contradictory and complementary findings can be dealt with.

Required basic knowledge: Basic knowledge and skills in social research methods and methodology (qualitative and quantitative) equivalent to the level of a Bachelor degree in a Social Science discipline

You have to register for the 8th International Research Workshop to participate in this course.

Academic Writing

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Dirk Siepmann (University of Osnabrück)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The academic writing seminar comprises four modules:

Word combining
Sentence combining
Academic style
Academic correspondence

You have to register for the 8th International Research Workshop to participate in this course.

Introduction to MaxQDA

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Heiko Grunenberg (Leuphana University Lueneburg)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

MAXqda is a software to analyze textual data in a qualitative (but also quantitative) way. The course provides a basic introduction into the logic of the program and its broad possibilities. The goal is to enable you to use this tool accordingly to your own method of analysis. For this reason, everybody can practice our working-steps at an own Computer. We will start at the very beginning and learn about the basic features of the program such as preparation and import of texts, basic analysis strategies and creation of codes, memos and variables. After this, we will focus on analysis strategies, simple and complex text retrievals and strategies of mixed-method-designs.

Recommended literature and pre-readings:

Kuckartz., Udo (2014): Qualitative Text Analysis. Methods, Practice, Computer Assistance. London & Thousand Oaks: Sage Publications.

Lewins, Ann/Silver, Christina (2007): Using Software in Qualitative Research: A Step-By-Step Guide. SAGE: London.

You have to register for the 8th International Research Workshop to participate in this course.

Case Study Research

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Kamil Marcinkiewicz (University of Hamburg)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 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 8th International Research Workshop to participate in this course.

Structural Equation Modelling with R

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Holger Steinmetz (University of Paderborn)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 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/German (depending on participants)

Contents:

Structural equation models (SEMs) have become a powerful tool in the behavioral sciences to test hypotheses about relationships between variables and implications of causal structures. This workshop offers an introduction to the background, principles, opportunities, and limitations of SEMs. These issues are illustrated using the lavaan package (latent variable analysis) that is run within the free software platform R. Lavaan has recently become a serious competitor to commercial software packages and is delivers almost everything a user needs to perform SEM. Participation to the course requires some basic knowledge of regression analysis, variances, covariances of variables, and inferential statistics. Knowledge of R is not necessary.

Course topics cover:

A short treatment of causality (the counter factual approach) and introduction to causal models and their illustration with path diagrams / causal graphs.
The principle behind estimating parameters and basis for evaluation the adequacy of the model (e.g., chi-square test) including Wright’s path tracing rules and Pearls d-separation.
Treatment and modeling of latent variables and the connection to theoretical constructs.
Explanation of the lavaan syntax and exercises (modeling own data / models of the participants is appreciated).
Reasons for misfitting models, evaluation, diagnostics, and re-specification.
The problem of endogeneity and the valuable role of instrumental variables in SEMs.

Required packages to be installed:

psych
car
Hmisc
MASS
QuantPsyc
Boot
Mnormt
Pbivnorm
quadprog
simsem
lavaan

You have to register for the 8th International Research Workshop to participate in this course.

Qualitative Comparative Analysis (QCA) and Fuzzy Sets

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Jonas Buche, (Goethe-University Frankfurt)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 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:

Since the publication of the seminal work “The Comparative Method” by Charles Ragin in 1987, set-theoretic methods and especially Qualitative Comparative Analysis (QCA) have become a common research strategy in the social sciences. Set-theoretic methods analyze cases with regard to the identification of sufficient and necessary conditions and assume causal relationships to be equifinal, conjunctural and asymmetric. Not least since so-called fuzzy sets have been introduced to the method, there has been a rising interest in QCA as a welcome alternative to both small-n case studies and large-n statistical analyses. In short, QCA is recommended if ‘if…then’ hypotheses are analyzed; if the goal is to derive sufficient and necessary conditions; if a comparison is planned; and if there is a mid-sized number of cases (between 10 and 60+).

The course starts off from an introduction into the basics of QCA (sets, set memberships, set operations). Through the notion of necessary and sufficient conditions and of truth tables, the single elements are built into the Truth Table Algorithm. However, this algorithm is not free of problems. Therefore, some pitfalls and strategies how to overcome them are presented.

The course is both conceptually and technically oriented. No prior knowledge is required.
We will use the software fsQCA2.5 which can be downloaded at www.fsqca.com. Please note that the software does not operate on Apple Products!

Recommended literature and pre-readings:

Schneider, Carsten Q. and Claudius Wagemann (2012), Set-Theoretic Methods for the Social Sciences. Cambridge: Cambridge University Press.
Ragin, Charles C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. Chicago: University of Chicago Press.
Freitag, Markus, and Raphaela Schlicht. 2009. “Educational Federalism in Germany: Foundations of Social Inequality in Education.” Governance 22 (1): 47-72.
Emmenegger, Patrick. 2011. “Job Security Regulations in Western Democracies: A Fuzzy Set Analysis.” European Journal of Political Research 50 (3): 336-64.

You have to register for the 8th International Research Workshop to participate in this course.