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Institute
- Fakultät Nachhaltigkeit (48)
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Die Aufgabe ist zentrales Gestaltungsmittel von Unterricht. Verschiedene Fachdidaktiken untersuchen, aus welchen fachlichen und sprachlichen Merkmalen ihre Aufgabenstellungen aufgebaut sind und welche Bedarfe daraus für die Lehr-Lern-Situationen resultieren. Im Fach Politik bestehen diesbezüglich nur unzureichende und nicht systematisierte Forschungsergebnisse. Das Ziel dieser Dissertation ist es, sich diesem politikdidaktischen Desiderat anzunehmen und die fachliche und sprachliche Komplexität von Politiklernaufgaben näher zu bestimmen, indem das Untersuchungsfeld kategorisiert wird. Hierfür wird die Erstellung und Evaluation eines fachlichen und sprachlichen Kategoriensystems für Lernaufgaben im Fach Politik dargeboten. Mithilfe dieser Kategoriensysteme werden 669 Lernaufgaben zum Thema „Das politische System der Bundesrepublik Deutschland“ analysiert, 210 Lernaufgaben aus der Sekundarstufe I und 459 Lernaufgaben aus der Sekundarstufe II. Die Analyseergebnisse werden geordnet nach den folgenden Forschungsfragen präsentiert:
1. Welche fachlichen Merkmale kennzeichnen Lernaufgaben in (ausgewählten) Politik-Schulbüchern?
2. Welche sprachlichen Merkmale kennzeichnen Lernaufgaben in (ausgewählten) Politik-Schulbüchern?
3. Welche fachlichen und sprachlichen Zusammenhänge kennzeichnen Lernaufgaben in (ausgewählten) Politik-Schulbüchern?
4. Welche Schulbuch-Spezifika lassen sich auf Lernaufgabenebene identifizieren?
This dissertation comprises three stand-alone research papers dealing with different aspects of labor market characteristics: bonus payments and the gender pay gap; second job holding; and workers un-covered by collective bargaining. The first paper ``Non-base compensation and the gender pay gap'' investigates whether and how non-base compensation in the form of bonus payments, overtime pay, and shift premia contributes to the gender pay gap.
Unionization along with collective bargaining coverage has been on the decline on recent decades. Using German administrative data, the second paper examines which workers in firms covered by col-lective bargaining agreements still individually benefit from these union agreements, which workers are not covered anymore and what this means for their wages.
The third paper studies the development and persistence of second job holding in Germany after a legislative change in the year 2003 allowed the extensive dispensation of marginal second jobs from taxes and social security contributions. Using data from the German Socio-Economic Panel I document a substantial increase in second job holding in Germany since 2003 and find in a dynamic panel model setting that there is true state dependence in second job holding.
The requirements for the design of information and assistance systems in labour-intensive processes are interdisciplinary and have not yet been sufficiently addressed in research. This dissertation analyses, evaluates and describes possibilities for increasing the effectiveness and efficiency of labour-intensive processes through design-optimised socio-technical systems. The work thus contributes to further developing information and assistance systems for industrial applications and use in healthcare. The central dimensions of people, activity, context and technology are the focus of the scientific investigations following the Design Science Research paradigm. Design principles derived from this, a corresponding taxonomy, and a conceptual reference model for the design of socio-technical systems are the results of this dissertation.
Stretching is primarily used to improve flexibility, decrease stiffness of the muscle- tendon unit or reduce risk of injury. However, previous animal studies from 1970 to 1990 showed significant hypertrophy effects in skeletal muscle in response to chronic stretching intervention with stretching durations of 30 minutes to 24 hours per day. However, no study in humans was performed using comparatively long stretching durations of more than 30 minutes per day with a daily frequency. The present cumulative dissertation includes six studies aiming to investigate the effects of long-lasting static stretching training on maximum strength capacity, hypertrophy and flexibility in the skeletal muscle. Before starting own experimental studies, a meta-analysis of available animal research was conducted to analyze the potential of long-lasting stretching interventions on muscle mass and maximum strength. To induce long-lasting stretching on the plantar flexors and to improve standardization of the stretch training by quantifying the angle in the ankle joint while stretching, a calf muscle stretching orthosis was developed. In the following experimental studies, the orthosis was used to induce daily long- lasting static stretching stimuli with different stretching durations and intensities in the plantar flexors to assess different morphological and functional parameters. For this, a total of 311 participants were included in the studies and, dependent on the investigation, the effects of daily stretching for 10-120 minutes for six weeks were analyzed. Therefore, effects on maximal isometric and dynamic strength as well as flexibility of the plantar flexors were investigated with extended and flexed knee joint. The investigation of morphological parameters of the calf muscle was performed by determining the muscle thickness and the pennation angle by using sonographic imaging and the muscle cross-sectional area by using a 3 Tesla magnetic resonance imaging measurement. In animals, the included systematic review with meta-analysis revealed increases in muscle mass with large effect size (d = 8.51, p < 0.001), muscle cross-sectional area (d = 7.91, p < 0.001), fiber cross-sectional area (d = 5.81, p < 0.001), fiber length (d = 7.86, p < 0.001) and
fiber number (d = 4.62, p < 0.001). The thereafter performed experimental studies from our laboratory showed a range of trivial to large increases in maximum strength of 4.84% to 22.9% with d = 0.2 to 1.17 and ROM of 6.07% to 27.3% with d = 0.16 to 0.87 dependent on stretching time, training level and testing procedure. Furthermore, significant moderate to large magnitude hypertrophy effects of 7.29 to 15.3% with d = 0.53 to 0.84 in muscle thickness and trivial to small increases of 5.68% and 8.82% (d = 0.16 to 0.3) in muscle crosssectional area were demonstrated.
The results are discussed based on physiological parameters from animal studies and in the front of knowledge in resistance training, suggesting mechanical tension to be one important factor to induce muscle hypertrophy and maximal strength increases. Further explanatory approaches such as hypoxia and changes in the muscle tendon unit are debated in the following. Since these studies are the first investigations on long-lasting stretch-mediated hypertrophy in humans, further research is needed to explore the underlying mechanisms and confirm the results in different populations to enhance the practical applicability for example in clinical populations when, e.g. counteracting muscular imbalances or sarcopenia in the elderly.
Ziel dieser Arbeit ist es, empirisch gesicherte Aussagen über die schriftliche Textplanung von Mittelstufenschüler*innen beim schriftlichen Argumentieren treffen zu können. Somit wird hier das argumentative Schreiben und Planen von schriftlichen Texten von 7. Klässler*innen betrachtet und untersucht. Die Daten resultieren aus dem Forschungsprojekt !!„Fach-an- Sprache-an-Fach“!!. Im Rahmen dieses Projektes nahmen Schüler*innen der 7. Klassen von insgesamt 7 Schulen in Niedersachsen und Hamburg an einer 15-wöchigen Intervention teil, um u.a. ihre schriftlichen persuasiven Argumentationsfähigkeiten zu verbessern. In diesem Zusammenhang arbeiteten die Schüler*innen mit einem selbst entwickelten Planungstool, um argumentative Texte zu verschiedenen Aufgabenstellungen zu verfassen. In der Arbeit werden von 33 Fokusfällen die bearbeiteten Planungstools sowie die dazugehörigen argumentativen Texte in einem mehrstufigen qualitativen und quantitativen Analyseverfahren betrachtet. In dem Analyseverfahren wird u.a. mit der formal, strukturierenden qualitativen Inhaltsanalyse und mit einem gattungsspezifischen Textanalyseverfahren gearbeitet.
This study examines the perspective of German venture capitalists on the success factors of digital startups and follows an explorative three-dimensional research approach that integrates the micro perspective on the entrepreneurial personality, the macro perspective on the entrepreneurial context, and the meso perspective on the business model. Thus, the study operates in a very young field of entrepreneurship research.
One of the purposes of this research project is to work out the significance of particular characteristics at each research level for the economic success of a digital start-up from the perspective of German venture capitalists. Furthermore, the study sheds light on the view of this group of experts on the relevance of an entire group of characteristics.
To answer the central research questions, qualitative research methods and a mixed-methods approach are pursued, with quantitative and qualitative primary data being collected by means of theory-driven semi-structured expert interviews. As a result, a total of four articles have been produced: three articles that focus on presenting the results of qualitative research from only one of the three aforementioned research perspectives each, and a fourth article that combines methods from qualitative and quantitative research and derives an integrated, evidence-based working model of the economic success of digital startups from the perspective of German venture capital (VC) investors.
Climate change presents a major sustainability challenge to coastal social-ecological systems (SES). The integration of climate change adaptation into processes or structures for coastal governance, however, has been described as challenging. Resilience presents a suitable concept to approach this problem, as it facilitates bridging between the natural and social sciences, as well as between science and policy in an inter- and trans-disciplinary approach. The Intergovernmental Panel on Climate Change also makes use of the concept of resilience and confirms that recent literature increasingly suggests that transformative changes in SES are required to enhance their resilience to climate change. Yet, knowledge gaps still exist on how to enable effective coastal governance to enhance the climate resilience of coastal SES. To address this problem, the importance of actionable knowledge is growing in climate change adaptation, environmental governance, and broader sustainability research. Actionable knowledge refers to knowledge that contributes to solving societal problems and points to actions and processes of change. One way of generating actionable knowledge is the co-production of knowledge with societal stakeholders. Yet, knowledge gaps exist in what methods and approaches may contribute to generating actionable knowledge and what obstacles to knowledge co-production exist especially for early-career researchers (ECRs).
This dissertation contributes to research on generating actionable knowledge for coastal governance to enhance the resilience of coastal SES to climate change. It does this by providing theoretical, methodological and empirical insights on three research questions (RQs), laid out in Chapter I. These are: 1) what is a more actionable concept for applying the concept of resilience in coastal governance?; 2) what methods and approaches are suitable to generate actionable knowledge for coastal governance?; and 3) what obstacles to knowledge co-production exist for ECRs and how can they be overcome? The RQs are addressed in five publications, each presenting one chapter of this dissertation. For answering RQ1, Chapter II applies a research synthesis to bring together common themes and challenges documented in resilience, climate change and environmental governance literature. For answering RQ2, in Chapter III-V different methods and approaches for generating actionable knowledge are proposed and tested using a case-study in the SES of Algoa Bay, South Africa. These include i) the analysis of stakeholder agency as an indicator of the ability of stakeholders to act in governance processes; ii) the application of a stakeholder analysis to gain an improved understanding of the current degree of knowledge exchange for climate change adaptation; and iii) the combination of a capital approach framework, and fuzzy cognitive mapping, which shed light on the governance performance for climate change adaptation and on leverage points that can enhance climate resilience. Finally, for answering RQ3, Chapter VI provides a perspective on the obstacles that especially ECRs face, and actions that are needed to create the conditions under which knowledge co-production processes can be successful. This is done by applying a multi-method approach combining an online survey and workshop targeted at ECRs in the marine sciences.
Key findings suggest that system and transformative knowledge are particularly important when applying the concept of resilience in coastal governance to generate actionable knowledge. The different methods and approaches that are proposed and tested contribute to generating both system and transformative knowledge. Firstly, they provide an overview of the capacities of different stakeholders to act, shed light on current collaboration and knowledge exchange, and enable the identification of different governance processes for coastal governance and climate change adaptation (system knowledge). Secondly, results have implications for how to improve knowledge exchange and identify leverage points that can enhance overall governance performance, thus providing recommendations on actions and processes that can enhance climate resilience in the case-study area (transformative knowledge). It is also highlighted how knowledge co-production can contribute to generating system and transformative knowledge together with stakeholders, and what actions are needed to build the capacities to translate knowledge into action. Additionally, the findings of this dissertation put forward actions that are needed at different organisational levels of the academic system to facilitate knowledge co-production processes with stakeholders involved in coastal governance.
The results of this dissertation have implications for stakeholders and decision-making in the case-study area, as well as for environmental governance, climate change adaptation and broader sustainability research. Implications for stakeholders include recommendations for implementing formal commitments to share climate information across levels and sectors, establishing the role of information providers in the municipality, and reinforcing human capital within the local municipality in Algoa Bay. It also requires more support from the provincial government, such as addressing funding issues, offering training focusing on stakeholders with lower agency and capacities, and improving the overall availability and accessibility of climate information, as well as the priority given to climate change in the Integrated Development Plan. Findings also suggest the need for a more integrated approach to climate change adaptation in coastal planning and management frameworks. It also suggests that the conservation of environmental assets presents an important bottleneck for resilience management and needs to be further prioritised within decision-making. Implications for research include the applicability of methods beyond the context of this dissertation; a more actionable concept for approaching resilience in (coastal) governance systems that can be applied for achieving broader sustainability goals; and a more critical reflection on how transformative research is conducted, and what academic foundation is needed so that it can fulfil its societal goal.
Future research may include a combination of the methods applied in this dissertation; qualitative applications of the stakeholder network analysis; and an application of the proposed approach to other case-studies using real-world laboratories. Overall, this dissertation provides theoretical, methodological, and empirical implications and insights into pressing SES problems. It also contributes to advancing the field of transformative research for more societally relevant outcomes in face of climate change and broader sustainability challenges
This cumulative dissertation "Corporate Social Responsibility (CSR) Communication: Four empirical studies on the German banking industry" presents how commercial banks in Germany communicate their ambitions and commitment regarding corporate responsibility - i.e., CSR. The results of the first article show that the quality of mandatory non-financial reporting needs to be improved and that certain characteristics (e.g., previous reporting experience, reporting format and standard) have a positive influence on reporting quality. The second article shows that the CSR reporting scope on bank websites also has room for improvement and that various banking characteristics such as size, capital market orientation, media visibility or public ownership have an influence on communication. The third article illustrates that credit institutions in Germany are increasingly using social media for CSR communication, but that CSR communication strategies differ (Facebook vs. Twitter). The fourth article discusses CSR communication using advertisements and shows that the conceptual design of advertisements should be in line with the credit institution's business model and is therefore beneficial.
Die Einführung von Industrie 4.0 und der damit verbundene Wandel des Produktionsumfeldes führen zu neuen Herausforderungen, bieten auf der anderen Seite aber auch neue Möglichkeiten für Unternehmen. Ausgehend von den Herausforderungen der Produktionsplanung und Steuerung als zentrales Element der Produktherstellung, z.B. Komplexität, Dynamik und neue Organisationsformen, werden bestehenden Methoden der Reihenfolgeplanung auf ihre Tauglichkeit zur Verwendung hin geprüft. Die Analyse zeigt, dass Aspekte wie die Ableitung von Handlungen und der Transfer von Wissen in unbekannten Situationen zu den größten Herausforderungen für bestehende Verfahren zählen. Die in der Arbeit neu entwickelte Methode zur dynamischen Auswahl und Anpassung von Reihenfolgeregeln in komplexen Fertigungssystemen mit bestärkendem Lernen greift diese Herausforderungen auf und untersucht mögliche Lösungsstrategien. Die im Rahmen der Arbeit neu entwickelte Methode wird über ein Spektrum an unterschiedlichsten Szenarien evaluiert und mit anderen Methoden verglichen. Dabei werden verschiedene Ausprägungen und Komplexitäts-Niveaus von Handlungen, der Beobachtungsraum und die Mengen an benötigten Daten detailliert analysiert. Schlussendlich zeigt sich, dass die neue Methode in der Lage ist, die Anforderungen an die Produktionsplanung- und Steuerung zu erfüllen und in bekannten wie in unbekannten Szenarien gut Leistung zu erbringen. Zusätzlich ist die Methode in der Lage menschenähnliche Leistungen zu bringen und kann in einem realen Anwendungsfall zur Unterstützung der Produktionsplanung und -Steuerung genutzt werden.
The computational analysis and the optimization of transport and mixing processes in fluid flows are of ongoing scientific interest. Transfer operator methods are powerful tools for the study of these processes in dynamical systems. The focus in this context has been mostly on closed dynamical systems and the main applications have been geophysical flows.
In this thesis, we consider transport and mixing in closed flow systems and in open flow systems that mimic technical mixing devices. Via transfer operator methods, we study the coherent behavior in closed example systems including a turbulent Rayleigh-Bénard convection flow and consider the finite-time mixing of two fluids. We extend the transfer operator framework to specific open flows. In particular, we study time-periodic open flow systems with constant inflow and outflow of fluid particles and consider several example systems. In this case, the transfer operator is represented by a transition matrix of a time-homogeneous absorbing Markov chain restricted to finite transient states. The chaotic saddle and its stable and unstable manifolds organize the transport processes in open systems. We extract these structures directly from leading eigenvectors of the transition matrix. For a constant source of two fluids in different colors, the mass distribution in the mixer and its outlet region converges to an invariant mixing pattern. In parameter studies, we quantify the degree of mixing of the resulting patterns by several mixing measures. More recently, network-based methods that construct graphs on trajectories of fluid particles have been developed to study coherent behavior in fluid flow. We use a method based on diffusion maps to extract organizing structures in open example systems directly from trajectories of fluid particles and extend this method to describe the mixing of two types of fluids.