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The ethical apparatus: The material-discursive shaping of ethics, autonomy, and the driverless car
(2023)
This research argues that the emergent driverless car, as a kind of autonomous vehicle, is a Foucault-ian ‘ethical apparatus’, working as an epistemic device to materially embody and enable discursive power by generating notions of ‘autonomy’ and ‘ethical decision-making’. The ethical implications of AI, algorithmic, and autonomous technologies are topics of current regulatory and academic concern. This concern relates to the lack of meaningful oversight of black boxes inside AI systems, liabilities for manufacturers, and inadequate frameworks to hold AI-based socio-technical systems to account.
One recent artefact, the driverless car, has taken on these concerns quite literally in the shaping of a niche discourse of the ‘ethics of autonomous driving’. Ambitions to produce a fully autonomous vehicle based on AI technologies are constrained by speculative concerns that its decision-making in unexpected accident situations cannot be assumed to protect humans. ‘The ethics of autonomous driving’ evaluates proposals to build ‘ethical machines’ by examining the relationship between structures of human values and moral decision-making, and how they comport to computational architectures for decision-making.
This is the first case this work takes up, chiefly organised around an analysis of a thought experiment, the Trolley Problem, and the online game, Moral Machine, that crowdsourced values to suggest approaches to an ‘ethics of autonomous driving’. Rather than evaluate the feasibility or appropriateness of these two approaches, this work attends to the more critical issue that ethics is being proposed in terms of technologies turning on the logics of risk, speculation, and probabilistic correlations that are fundamental to how machine learning makes decisions. The concern in this work is less a normative framework or approach for a better or more appropriate ethics of autonomous driving. Rather, this work argues that what we understand as ‘the ethical’ is being transformed when architected by, through, and for AI/autonomous technologies to become their own regulators.
Hence the production of autonomous driving necessitates computational infrastructures that are creating a world legible to and for the navigation of a driverless car. I argue that this is fostering computational governance that has implications for human bodies and social relations, chiefly that conventional approaches to regulation and accountability attend to human values and decision-making rather than computational ones.
A second case that this research examines is that of driverless car crashes, to examine how ‘autonomous’ driving requires substantial embodied human knowledge and micro-work. Taken together, these two cases - the ethics of autonomous driving, and crashes - make an argument for how myriad practices of knowledge-production are translating the human world into something legible to the navigational needs of the car, producing changes in the human world through the actions of the car on that basis, and advancing notions of ‘autonomy’. This work concludes with arguments for a critical reconceptualisation of ethics and ethical decision-making in AI/autonomous systems.
Die Gesundheit von Lehrkräften ist ein wichtiger Faktor für schulorganisatorische Aspekte (u. a. Berufswechsel, Fehlzeiten), die Lehrkraft-Schüler*innen-Interaktion (Klassenführung, Kognitive Aktivierung und emotionale Unterstützung) und die Motivation sowie die Leistungen von Schüler*innen. Werden Lehrkräfte im Schuldienst tagtäglich mit einer Vielzahl an beruflichen Herausforderungen konfrontiert, können diese bei mangelnden Ressourcen zu einem erhöhten Belastungserleben führen. Demnach sollten Lehrkräfte bereits in der Ausbildung ihre gesundheitsförderlichen Ressourcen stärken, um gesund in den Beruf zu starten. Dabei stellt sich die Frage, über welche Ressourcen angehende Lehrkräfte verfügen sollten, um trotz Herausforderungen gesund zu bleiben und wie diese in der Ausbildung gefördert werden können. Dem Konzept der Salutogenese folgend, widmet sich diese Arbeit der individuellen Gesundheitskompetenz von angehenden Lehrkräften, die als Schlüsselkompetenz verstanden wird um die körperliche und psychische Gesundheit zu stärken. Im Kontext der Lehrkräfteausbildung mangelt es an empirischen und auch konzeptuellen Studien, die die individuelle Gesundheitskompetenz in den Fokus nehmen. Entsprechend werden folgende Fragestellungen in dieser kumulativen Dissertation untersucht:
Publikation 1: Die erste Studie widmet sich den Fragestellungen, wie die weiterentwickelten Fähigkeiten der individuellen Gesundheitskompetenz bei angehenden Lehrkräften ausgeprägt sind und welche Bedeutung diese für die Gesundheit von angehenden Lehrkräften haben. Dazu wurden Studierende aus dem 2. Mastersemester (195 Lehramtsstudierende vs. 108 Nicht-Lehramtsstudierende) befragt. Die Ergebnisse zeigen, dass sich Lehramtsstudierende im Vergleich zu Nicht-Lehramtsstudierenden signifikant besser in den Komponenten der Gesundheitskompetenz einschätzen, mit Ausnahme der Verantwortungsübernahme. Die niedrigsten Ausprägungen sind in beiden Gruppen in den Fähigkeiten zur Selbstregulation und Kommunikation und Kooperation aufzufinden. Hinsichtlich des allgemeinen Gesundheitszustandes unterscheiden sich die Studierendengruppen nicht signifikant voneinander, jedoch weist knapp jede*r dritte*r Studierende*r einen schlechten Gesundheitszustand auf. Dabei steht v. a. die Komponente Selbstregulation mit dem Gesundheitszustand in Beziehung.
Publikation 2: Die zweite Studie geht ebenfalls den Fragestellungen nach, wie die weiterentwickelten Fähigkeiten der individuellen Gesundheitskompetenz bei angehenden Lehrkräften ausgeprägt sind und welche Bedeutung diese für die Gesundheit von angehenden Lehrkräften haben. Hierzu wurde jedoch in dieser Studie die Gesundheitskompetenz von Lehrkräften in der ersten (Lehramtsstudium) und zweiten Phase (Vorbereitungsdienst) der Lehrkräfteausbildung gemessen (195 Masterlehramtsstudierende vs. 242 Lehrkräfte im Vorbereitungsdienst). Lehramtsstudierende weisen im Vergleich zu den Lehrkräften im Vorbereitungsdienst signifikant höhere Werte in den übrigen Fähigkeiten der Gesundheitskompetenz auf mit Ausnahme der Fähigkeit zur Kommunikation und Kooperation. Die niedrigsten Ausprägungen sind in beiden Gruppen in den Fähigkeiten zur Selbstregulation und Kommunikation und Kooperation aufzufinden. Hinsichtlich des allgemeinen Gesundheitszustandes schätzen Lehrkräfte im Vorbereitungsdienst diesen signifikant besser ein als Lehramtsstudierende, wobei in beiden Gruppen insbesondere die Komponente Selbstregulation mit dem Gesundheitszustand korreliert. Die Ergebnisse multipler Regressionsanalysen zeigen, dass die Fähigkeiten zur Selbstregulation, Selbstkontrolle und Verantwortungsübernahme Prädiktoren für den Gesundheitszustand von Lehramtsstudierenden darstellen, und die Fähigkeiten zur Selbstregulation und Verantwortungsübernahme die Prädiktoren für den Gesundheitszustand der Lehrkräfte im Vorbereitungsdienst sind. Insgesamt verdeutlichen die Ergebnisse die Bedeutung der Gesundheitskompetenz für den Gesundheitszustand und verweisen auf die Forderung nach Interventionen zur Förderung der Gesundheitskompetenz, die insbesondere die Fähigkeiten zur Kommunikation und Kooperation und Selbstregulation fokussieren, wobei die Selbstregulation einen besonderen Stellenwert einnimmt.
Publikation 3: In der dritten Studie wird vor allem untersucht wie die berufliche Selbstregulation mit den weiterentwickelten Fähigkeiten der individuellen Gesundheitskompetenz von angehenden Lehrkräften zusammenhängt und welche Komponenten die psychische Gesundheit von angehenden Lehrkräften bedingen. Dazu wurden 407 Lehrkräfte im Vorbereitungsdienst befragt. Die Selbstregulationstypen wurden mittels einer latenten Profilanalyse analysiert und die vier beruflichen Selbstregulationstypen repliziert (Gesundheitstyp: 35.4%, Schontyp: 22.8%, Typ A: 19.2% und Typ B: 22.6). Es zeigen sich Zusammenhänge zwischen den Subdimensionen der beruflichen Selbstregulation und den Komponenten Selbstkontrolle und Selbstregulation der Gesundheitskompetenz. Unabhängig voneinander hängt der Gesundheitstyp, Schontyp und Typ A sowie die Gesundheitskompetenzdimensionen Selbstregulation, Selbstkontrolle und Verantwortungsübernahme mit dem psychischen Wohlbefinden zusammen. Werden beide Ressourcen zusammen betrachtet, erklären die Komponenten der individuellen Gesundheitskompetenz mehr Varianz im psychischen Wohlbefinden als die Selbstregulationstypen. Aus den Ergebnissen kann abgeleitet werden, dass eine Lehrkräfteausbildung, die Aspekte der Selbstregulationsfähigkeit einbezieht, nicht nur das Wohlbefinden von angehenden Lehrkräften verbessern könnte, sondern auch ihre individuelle Gesundheitskompetenz. Eine Förderung der beruflichen Selbstregulation durch Lernangebote könnte auch mit der Stärkung der individuellen Gesundheitskompetenz von angehenden Lehrkräften verbunden sein.
Publikation 4: In der vierten Studie wurden die empirisch gewonnenen Erkenntnisse der ersten drei Studie aufgegriffen und ein Seminarkonzept zur Förderung der individuellen Gesundheitskompetenz von angehenden Lehrkräften im Rahmen der Lehrkräfteausbildung erstellt. Das Seminar umfasst unter anderem allgemeine gesundheitswissenschaftliche Grundlagen und die theoretische Hinführung zu verhaltensbezogenen Bewältigungsstrategien, am Beispiel von Achtsamkeit, und verhältnisbezogenen Strategien im Kontext Schule mit Bezug zur Unterrichtsqualität und Schulentwicklung.
Das Rahmenpapier bettet die vier Publikationen in den übergeordneten theoretischen Kontext ein, diskutiert die Ergebnisse und leitet abschließend Empfehlungen für weitere Forschung und für die Lehrkräfte(aus)bildung ab. Das Rahmenpapier schließt mit einem Fazit.
Companies are invited to contribute to the United Nations’ 17 Sustainable Development Goals (SDGs) and sustainability management accounting (SMA) has an important role to play in achieving them. However, if companies are to address the SDGs and linkages beyond organizational boundaries, SMA needs a broader scope than is conventionally assumed. Therefore, I advance a multi-level framework that addresses context, action-formation, and transformative contributions (CAT) in the following directions: first, an innovative systematic method that allows screening company-related SDGs and assessing corporate contributions to selected SDGs is introduced; second, management control systems are integrated to support managers in guiding employee behavior to make contributions to the SDGs; and, third, self-reinforcing mechanisms of the path-dependence theory are incorporated to serve as a guide to identifying barriers to individuals and groups becoming involved in SMA. This advanced CAT framework contributes to corporate practice and research by providing a multilevel framework that offers concrete management guidance for SMA to address the SDGs. It also facilitates analysis of both enabling and inhibiting factors at the organizational level. The advanced CAT framework has several implications for SMA: it promotes backcasting from the SDGs for benchmarking purposes, integrates different social, environmental, and economic issues, facilitates future-oriented action and transformation planning, addresses different layers such as the company as well as individuals and groups within it and enables to identify barriers hindering individuals and groups from becoming involved in SMA.
Aufbauend auf einem interdisziplinären Modell, das sowohl kognitionspsychologische als auch mathematikdidaktische Fähigkeiten beim Schätzen von visuell erfassbaren Größen (Längen, Flächeninhalte, Fassungsvermögen, Rauminhalte) beinhaltet, und einem Modell zur Systematisierung verschiedener Aufgabenmerkmale wurde im Rahmen dieses Dissertationsprojekts ein schriftlicher Schätztest entwickelt. Der Schätztest beinhaltet insgesamt 48 Items, deren Merkmale zwischen den Größen parallelisiert und gleich verteilt sind (12 Items pro Größe).
Die Daten des Tests werden genutzt, um verschiedene Arten der Ermittlung und Bewertung von Schätzgenauigkeit zu untersuchen, die Schätzgenauigkeit von Kindern der vierten, fünften und sechsten Klasse zu ermitteln und um den Zusammenhang der vier Größen zu beschreiben.
Die Untersuchung verschiedener klassischer Fehlerberechnungs- und Bewertungsarten zeigt wesentliche Unterschiede in Testleistung und Testgüte. Die Berechnung des logarithmischen Fehlers in Verbindung mit einem logarithmischen Scoring wird als ein alternatives Verfahren genutzt.
Die Analyse der Schätzergebnisse von 900 Kindern zeigt, dass sich die Schätzgenauigkeit von Kindern der vierten und sechsten sowie fünften und sechsten Klassen signifikant unterscheidet: Kinder aus höheren Jahrgängen schätzen genauer als Kinder aus niedrigeren Jahrgängen. Es konnte kein signifikanter Unterschied bei der Schätzgenauigkeit zwischen Kindern der vierten und fünften Klassen festgestellt werden. Darüber hinaus unterscheidet sich Schätzgenauigkeit signifikant zwischen den Größen: Längen werden am genauesten geschätzt, gefolgt von Fassungsvermögen, Flächeninhalten und Rauminhalten. Alle Größen korrelieren bezüglich der Schätzgenauigkeit moderat miteinander. Die Schätzgenauigkeit von Längen kann als Prädiktor für die Schätzgenauigkeit der anderen Größen herangezogen werden.
This dissertation deals with the increasingly recognized role of incumbent firms in advancing sustainability-oriented industry transitions. Incumbent firms are understood as firms-in-industries, which are embedded in established market structures and thereby contrast new entrant firms. The purpose of this research is twofold. First, to provide empirical evidence of barriers to and success factors of incumbent-driven industry transitions. Second, to unify hitherto dispersed descriptions of transition-related firm behaviour in a new understanding of incumbent firms in industry transitions. To this end, theoretical concepts are discussed and extended on the basis of different empirical studies in the German meat industry. The meat industry serves as suitable research setting due to its diverse sustainability challenges, ranging from climate change and pollution to animal welfare and public health, as well as its current developments towards sustainable protein alternatives. The meat context also offers opportunities to delve into individual-level processes influencing transition-related behaviour. The main contribution of this dissertation is a Multi Embeddedness Framework (MEF) that details processes and outcomes of integrated incumbent firm behaviour, including passive, reactive and proactive behaviors. The framework acknowledges the diversity in incumbent firm behaviors within industries and firms and provides new insights into transition-related behaviors at firm and individual level. With regard to the latter, the potential of learning about and from innovative start-up firms as well as shared sensemaking processes are discussed. The contents of this dissertation provide valuable contributions to the transition literature as well as important management implications with regard to the stimulation and promotion of proactive behaviors
One of the key challenges of our era is to halt biodiversity loss and foster the sustainable use of nature. The Sustainable Development Goals (SDGs) recognize the importance of the inextricable link between social and ecological systems and human quality of life (QoL) and biodiversity. Therefore, understanding the feedback and interactions between biodiversity, nature’s contributions to people (NCP), and QoL plays a central role in advancing toward sustainability. In this context, the social-ecological systems (SES) approach has advanced on the subject, particularly in recent decades; however, much remains to be done to comprehensively understand these relationships and interactions, especially at local decision-making scales. In this thesis, through the lenses of the SES approach, I investigate connections between biodiversity, NCP, and QoL in a tropical dry forest (TDF) on the Western coast of Mexico. This place is one of the best-known Neotropical TDF and has been the focus of SES research in the past 20 years, making it an excellent case study for exploring these connections.
First, to approach the need for dialogue among different global and local scales and between global and local frameworks, the thesis identifies five key components of the SES dynamics-(1) ecological supply, (2) co-production of NCP, (3) management, (4) demand, and (5) benefits- and three local decision-making scales of analysis- individual plot, smallholder, and land tenure or governance units. A literature review was performed on the social-ecological indicators for the last 11 years in the Chamela-Cuixmala region to operationalize this framework. The representability of the framework shows that research has emphasized the components of NCP co-production (42% of indicators) and SES management (21%). By analyzing SES dynamics through this new framework, we can support the monitoring of NCP and potentially detect regime shifts or radical changes before they happen. The framework is simultaneously context-specific and operationable across global contexts, providing an opportunity to inform discussions on global sustainability from local contexts.
Second, this thesis uses social-ecological information to identify social-ecological systems units (SESU) spatially explicitly. A methodology was provided to spatially identify the components of social-ecological systems that environmental conditions and management practices have shaped at three previously stated relevant decision-making scales: plots owned by individuals, plot owners, and governance units. To do so, we identified and characterized: (1) ecological clusters (EC), (2) social-management clusters (SC), and (3) SESU in a TDF in western Mexico. Our findings suggested that decision-makers (ejidatarios, i.e., type of ownership (related to agrarian reform), that in most cases the land allocated is small-smallholders-) are bounded by the topographical characteristics and the public policies that determine communal (or private) governance and the number of resources available to them. The methodology can be applied to other contexts and nested decision-making scales. The spatial identification of these interdependencies is critical for landscape planning since it can contribute to reconciling productive activities and biodiversity conservation.
Finally, the thesis examines the self-perceived QoL across the different SESU, finding 48 QoL items, which were grouped into six categories: 1) social capital, 2) economic capital, 3) agency, 4) nature, 5) peasant non-work activities, and 6) government and services; and two additional dimensions referred to obstacles and enablers of QoL. We found that the more land cover transformation, the more enablers, and obstacles of QoL are identified; emphasis was put on economic capital to achieve QoL. As management is intensified and governance fosters individualism across SES, the higher the Current Welfare Index, and the lower the self-perceived material and non-material satisfaction. We discuss the need for governance structures promoting smallholders´ worldviews that move beyond utilitarianism and foster commons. The social-ecological systems approach employed throughout this dissertation contributed towards crosscutting insights; the testing of new frameworks and methodologies represent important steps towards unraveling the connections between biodiversity, NCP, and QoL and contributes to achieving sustainable scenarios such as the ones proposed by the SDGs.
Environmental governance beyond borders: Governing telecoupled systems towards sustainability
(2023)
Globalization has increased the speed, volume and spatial scale of global flows of people, information, finance, goods and services. Economic globalization is closely linked to the globalization of environmental problems, with the underlying causes and directly visible effects of environmental problems becoming increasingly geographically dispersed. For example, the products consumed in one place can have negative environmental effects in distal places of production. This poses challenges to territorially-based governance systems. Governments do not have legal authority to regulate environmental problems in other jurisdictions, even if their own policies or actions of domestic companies contribute to these problems. Likewise, companies face challenges with overseeing and governing the environmental effects that occur along their supply chains. Nevertheless, state and non-state actors increasingly aim to govern environmental problems outside their jurisdictional and organizational boundaries that arise from long-distance interactions between social-ecological systems – so-called telecoupled systems.
This doctoral dissertation analyses the environmental governance of long-distance social-ecological interactions in telecoupled systems in two issue domains: global commodity chains and infrastructure projects as part of China’s Belt and Road Initiative (BRI). Although both domains involve different governance actors, institutions and processes, they both concern the question of how the involved actors develop governance structures and institutional responses to telecoupling. This dissertation aims to contribute to a deeper understanding of how to govern environmental problems that are associated with global flows. Since many multilateral environmental governance initiatives have not yet produced the desired solutions to global problems, particular attention is directed at unilateral state-led governance approaches. This dissertation addresses the questions of (1) how to achieve a spatial fit between the scale of telecoupled systems and the scale of governance institutions, (2) how governance actors exercise agency in governing telecoupled systems, and (3) how state actors can govern the domestic and foreign environmental effects of telecoupled flows. This dissertation draws upon, and contributes to, two fields of research: research on telecoupling and research on global environmental governance.
The results show that creating a spatial fit in the governance of global commodity flows is challenging because boundary and resolution mismatches can emerge. Boundary mismatches denote situations where social-ecological problems transcend established jurisdictional boundaries, whereas resolution mismatches refer to governance institutions that have too coarse a spatial resolution to allow them to address the specific aspects of social-ecological problems effectively. No single governance institution is likely to avoid all mismatches, which highlights the need to align multiple governance approaches to effectively govern telecoupled systems.
2
Telecoupled flows are often governed at places where they originate and places where they arrive for processing, final consumption, or investment. If governance in the jurisdiction experiencing the environmental issue is weak, external governance actors can aim to fill this governance gap by introducing due diligence legislation and by promoting sustainability standards in international (trade) relations. State actors often rely on the actions of non-state actors to govern beyond jurisdictional borders. Despite efforts to govern environmental outcomes in distant jurisdictions, it is important to recognize the agency of governments that experience the direct environmental effects of telecoupling. They have great leverage to steer telecoupled systems towards sustainability through the formulation, implementation, monitoring and enforcement of stringent regulatory frameworks, in the context of both commodity supply chains and BRI projects.
The findings of this dissertation are relevant for scholars and policy makers interested in what can be termed external environmental governance, which refers to the governance structures and institutions to shape environmental outcomes outside the borders of a given jurisdiction. This dissertation sets
Depressive disorders are highly prevalent mental disorders associated with an enormous individual and societal burden. The efficacy of both; treatment and prevention of depression have been meta-analytically demonstrated. Over the past two decades, an increasing number of internet-based interventions for depression has been developed and their efficacy was also metaanalytically shown. However, the uptake of such interventions – despite all the suggested advantages of internet-based interventions – is still rather low. The stigma still associated with “depression” may be one major barrier also to internet-based interventions. To overcome this barrier and potentially increase uptake, the paradigm of indirect interventions has been proposed recently. Indirect interventions primarily address common mental health problems, which are presumed to be less stigmatizing, and are suggested to reduce depressive symptoms indirectly. Targeting common mental health problems that are transdiagnostic risk factors for depression and other mental disorders – such as stress or repetitive negative thinking – seems especially promising.
This dissertation evaluated the efficacy of three different internet-based interventions that can be regarded as indirect interventions to reduce depression since they primarily targeted risk factors for depression. For this purpose three registered randomized controlled trials were conducted. In addition to assessing the efficacy of the interventions regarding the primary outcomes, the efficacy to reduce depression and further secondary outcomes was studied. In Study I (N = 200) the efficacy of an internet-based stress management intervention (iSMI), which was adapted and tailored to career starting teachers, was compared to a waitlist control group (WLG). The participants of the intervention group (IG) reported significant reductions on the primary outcome perceived stress at post-intervention (T2), ΔWLG-IG = 3.5, d = 0.52, 95% CI [0.24, 0.80], and threemonth follow-up (3-MFU), d = 0.49, 95% CI [0.21, 0.77]. Furthermore, it was shown that the intervention indirectly also reduced depression at T2, d = 0.66, 95% CI [0.38, 0.94], and 3-MFU, d = 0.47, 95% CI [0.19, 0.75], nad produced significant clinically meaningful reductions of depression with a number needed to treat (NNT) of 3.9 at T2. The effects were sustained at an extended 6-MFU. Besides efficacy, the feasibility to complement the iSMI with a newly developnedte rinet-based classroom management training was shown. Moreover, mediation analyses corroborated the role of problem- and emotion-focused coping skills in the intervention’s effect on stress and the indirect effect of the intervention on depression through stress.
Study II (N = 262) demonstrated the efficacy of an internet- and app-based gratitude intervention on the reduction of primary assessed repetitive negative thoughts at T2, ΔWLG-IG = 6.6, d = 0.61, 95% CI [0.36, 0.86], and 3-MFU, d = 0.75, 95% CI [0.50, 1.00], as compared to a WLG. The participants of the IG also reported significantly reduced depressive symptoms at T2, d = 0.38, 95% CI [0.13, 0.62], and 3-MFU, d = 0.40, 95% CI [0.15, 0.64], with significant clinically meaningful effects with an NNT of 4.3 at T2. The effects were sustained at an extended 6-MFU. Besides efficacy, mediation analyses showed that repetitive negative thinking mediated the gratitude intervention’s effect on depression.
Finally, Study III N( = 351) showed that an interneta-sbed intervention, tackling worries at the beginning of the COVID-19 pandemic, was effective as compared to an active mental health advice group. At T2, two weeks after randomization, the IG reported significantly reduecveedl sl on the primary outcome worry as compared to controΔlsW, LG-IG = 5.0, d = 0.38, 95% CI [0.17, 0.59]. Participants of the IG also reported significantly reduced levels of depression at T2, d = 0.47, 95% CI [0.26, 0.68], with significant clinically meaningful reductions with an NNT of 3.6. The extended follow-ups in the IG indicated that the improvements from baseline were sustained until the 2-MFU and the 6-MFU. In a mediation analysis, worry was shown to mediate the intervention’s effect on depression.
Across all three studies a reliable deterioration of depression was occasionally observed ranging from 3% to 5% in the IGs and from 5% to 12% in the control groups at T2. In summary, the studies in this dissertation demonstrated the efficacy of various indirect interventions focusing on rather common psychological problems to indirectly reduce depressive symptoms. The extent to which depression severity could be reduced is comparable to reductions found within participants with comparable baseline depression severity, in internetbased interventions directly addressing depressive symptoms. Indirect interventions are suggested to increase the uptake of interventions that reduce depressive symptoms, since they might be perceived as less stigmatizing and might broaden the range of interventions to choose from. Future research needs to compare indirect interventions for depression with direct interventions in head-to-head studies regarding uptake, efficacy and potential harmful effects. The indirect interventions examined in this dissertation could then complement the existing range of care for depression and thereby contribute to a reduction of the treatment gap and the burden of disease associated with depression.
The research described in this dissertation focuses on developing a process to remove oligomers and suppress their formation by intercepting the aging procedure's precursors using adsorbents when biodiesel and its blends are used as fuel. There has been the search for various energy sources due to the increasing awareness of the depletion of fossil fuel resources, environmental issues, and more urgently is the need to mitigate climate change. Biodiesel has become more attractive in recent times (Daming et al. 2012, Abdullah et al., 2007) as an alternative fuel. Biodiesel, a methyl ester of vegetable oil, is a renewable, low environmental impact, green alternative fuel for diesel engines (EU Regulation, 2012, Ghosh and Dutta, 2012). In addition to its renewable status, biodiesel, compared to fossil fuel, has advantages such as its biodegradability, reduced exhaust emissions, higher cetane number, lubricity, and safer distribution and storage due to its higher flash point (Pereira et al. 2015, Monyem and Van Gerpen, 2001). Biodiesel fuel is chemically fatty acid methyl ester (FAME) derived from different plant oils. It varies slightly in molecular structures due to the degree of unsaturation of the fatty acids in the different sources compared to conventional diesel fuel (Pereira et al. 2015, 2013, Sharma and Singh, 2009). Biodiesel fuels contain significant amounts of esters of oleic, linoleic, or linolenic acids, which influence their oxidative stability. A small percentage of more highly unsaturated fatty compounds have a disproportionately strong effect in reducing oxidation stability and promoting oligomers formation. The oxidation products of the biodiesel in the engine sump influence the degradation of the lubrication oil.
Given the complex, dynamic, and urgent problems that sustainability science addresses, research approaches are required that not only improve the understanding of sustainability challenges, but also to support action for sustainable development. In this context, transdisciplinary research has established as an approach that aims not only to generate new knowledge, but also to promote the societal relevance and application of research findings through direct collaboration of scientists and societal stakeholders from different fields in integrative research processes. Despite its increasing prevalence in the field, there remains a gap between theoretical ideal-typical models of transdisciplinary research and its actual application within sustainability science. While scholars generally agree that transdisciplinary research is societally effective, there is scattered and partly conflicting evidence on which aspects of transdisciplinary research foster societal impact. Moreover, the extent to which transdisciplinary research contributes to scientific progress is largely unexplored.
This thesis aims to contribute to a better understanding of the actual implementation of transdisciplinary research in sustainability science. Following three aims, this work likes to (1.) contribute to the measurability of transdisciplinary research processes as well as their societal and academic outputs and impacts, to (2.) demarcate transdisciplinary research from other modes of research in sustainability science and to (3.) identify and examine the determinants that shape the contribution of transdisciplinary research to societal action for sustainable development and to scientific knowledge production.
To serve these aims a mixed methods approach is applied that combines strong quantitative elements with in-depth qualitative analyses that integrate the perspectives of practitioners. This thesis provides a broad set of indicators to describe and assess transdisciplinary research that translate theoretical concepts form transdisciplinarity theory into observable variables. The indicators offer a holistic perspective on transdisciplinary research by representing research mode characteristics, societal as well as scientific outcomes of research projects and their specific context.
To theoretically demarcate transdisciplinary research from other forms of research, a narrative literature review first elaborates the differences between ‘normal science’, political use of scientific knowledge and transdisciplinarity in their underlying logics of problem definition, knowledge production and research utilization. Subsequently, these concepts were compared with perspectives and expectations of practitioners in the forest sector on integrative research settings, showing that practitioner perspectives align the most with conceptualizations of political use of scientific knowledge.
Moreover, a cluster analysis of data from 59 research projects identified five research modes that empirically demarcate ideal-typical transdisciplinary research from other research modes within sustainability science: (1) purely academic research, (2.) practice consultation, (3.) selective practitioner involvement, (4.) ideal-typical transdisciplinary research and (5.) practice-oriented research. Based on this finding, transdisciplinary research can be characterized as an intensive, but balanced involvement of practitioners. It incorporates not only the needs and goals of the practitioners but also their norms and values. Ideal-typical transdisciplinary research goes beyond mere consultatory research approaches and must be distinguished from what is conceptualized as applied research.
Regression analysis of 81 research projects and statistical group comparisons of the five research mode clusters show that societal and academic outputs and impacts vary with specific project characteristics and combinations of project characteristics defined as research modes. The findings indicate that more interactive research modes reach more societal impacts. In particular, the involvement of practitioners in early project phases and the targeted dissemination of the research results positively affect societal impacts. This finding also aligns with practitioner expectations on integrative research and research utilization, provided by qualitative analysis. Moreover, the quantitative results show that scientific outputs and impacts decrease with the intensity of interactions, indicating a trade-off between societal and scientific outcomes and impacts.
Overall, the empirical results of this thesis support the claimed effectiveness of transdisciplinary research in providing societally relevant, applicable knowledge and encourage further funding of transdisciplinary research by funding agencies. The relationships discovered in this study between research mode characteristics and societal as well as academic outputs and impacts can help researchers design and reflect on their research and can inform funding agencies in the design of project calls and research programs. However, the observed lower academic outputs and impacts of more integrative research modes raise the question of how to further strengthen the systematic documentation and accessibility of the results of transdisciplinary sustainability research. Additionally, the observed trade-off between societal and academic impacts of transdisciplinary research highlights the need for strategies to mediate between the dual aim of transdisciplinary research to contribute to societal problem solving and scientific knowledge production.
Keywords: transdisciplinarity, sustainability science, transdisciplinary research, societal impact, scientific impact, research mode, research evaluation
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.
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
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.
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.
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.
Angststörungen gehören im Kindes- und Jugendalter zu den häufigsten psychischen Störungen. Sie führen zu mittel- und langfristigen psychosozialen individuellen und gesellschaftlichen Beeinträchtigungen und Belastungen, sind entwicklungspsychopathologisch verbunden mit Defiziten in der Emotionsregulation, zeigen eine hohe Komorbidität mit anderen psychischen Störungen wie insbesondere mit depressiven Störungen und weisen zudem eine hohe Rezidiv- und Persistenzneigung sowie eine niedrige Remissionswahrscheinlichkeit auf. Auf dieser Grundlage kommt der Prävention von Angststörungen bei Kindern und Jugendlichen eine besondere Bedeutung zu. Aufgrund eines konstatierten Forschungsdefizits im Zusammenhang mit universeller Angstprävention im Kindes- und Jugendalter ist im Kontext dieser Dissertation das Trainingsprogramm „Super Skills for Life“ von Essau & Ollendick evaluiert worden. Dabei ging es insbesondere um die Überprüfung eines Treatment-Effektes. Das „Super Skills for Life“-Programm ist ein CBT-geführtes Modell, das neben Exposition auch Methoden der Entspannungstherapie und des sozialen Kompetenztrainings impliziert. Als Resilienzaufbauprogramm zeichnet es sich besonders durch die Anwendung der Videofeedbackmethode aus. Im Kontext der schulbasierten Evaluation wurde eine zweifaktorielle Varianzanalyse mit Messwiederholung (Follow-Up-Messung nach sechs Monaten) unter Einbezug von Kovariaten (Bildung, Klassenstufe und Familienstand) und zusätzlich unter Berücksichtigung von Post hoc-Tests (Geschlecht) durchgeführt. Innerhalb der Stichprobe von Grundschulkindern nahmen an der Interventionsgruppe n=77 und an der Kontrollgruppe n=87 Probanden teil. Im Ergebnis konnten in der Zusammenfassung im Wesentlichen keine ausreichenden signifikanten Effekte des Programms hervorgebracht werden, somit konnte kein Treatment-Effekt belegt werden. Abschließend für diese Dissertation wurden Limitationen dieser empirischen Untersuchung wie bspw. die fehlende Randomisierung, der geringe Stichprobenumfang und der einschränkende Regionalitätsbezug diskutiert.
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?
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.
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.
Die negativen Auswirkungen des modernen Konsumverhaltens sind heute weithin bekannt, dennoch ist insbesondere die Modebranche weiterhin durch sehr niedrige Preise, kurze Produktlebensdauer und Massenkonsum gekennzeichnet. Die Folgen für Mensch und Umwelt sind gerade in der Kleidungsindustrie frappierend. Eine Veränderung des Konsumverhaltens in der breiten Bevölkerung hin zu einer Reduktion von Neukäufen, einer langen Nutzungsdauer der vorhandenen Kleidung und zum Kauf ökologisch und sozial verträglich hergestellter Produkte ist somit dringend notwendig. Ein wichtiger Erfolgsfaktor für die effektive Ansprache der Konsumierenden durch nachhaltiges Marketing von NGOs oder entsprechende Unternehmen ist die Berücksichtigung handlungsrelevanter Persönlichkeitsmerkmale aufseiten der Zielgruppe. Die wissenschaftliche Literatur zu Prädikatoren nachhaltiger Verhaltensweisen weist darauf hin, dass persönliche Werte eine wichtige Rolle für dessen Umsetzung spielen. Gleichzeitig wirkt sich insbesondere im Kleidungskonsum auch das Geschlecht bzw. Gender der/des Konsumierenden auf das Verhalten aus. Es existieren zahlreiche Hinweise darauf, dass das Geschlecht bzw. Gender zudem im Zusammenhang mit den Werteprioritäten einer Person steht. Ausgehend von dieser Datenlage werden in dieser Arbeit drei Themen mit Relevanz für die Nachhaltigkeitsforschung – persönliche Werte, Geschlecht/Gender und nachhaltiger Kleidungskonsum – zusammengeführt und auf ihre komplexe Wirkungsbeziehung hin untersucht. Auf Grundlage von Fokusgruppeninterviews wird erforscht, welche individuellen Wertorientierungen sich in welcher Weise und welcher Konstellation positiv auf ein nachhaltiges Kleidungskonsumverhalten auswirken und welche geschlechterspezifischen Unterschiede hierbei erkennbar werden. Durch die Berücksichtigung persönlicher konsumrelevanter Motivatoren und deren individueller Ausprägung werden Potenziale für eine zielgerichtete Verstärkung nachhaltigen Konsumverhaltens in der breiten Bevölkerung aufgedeckt. Dazu werden (1) vier Wertorientierungen mit Einfluss auf nachhaltigen Kleidungskonsum identifiziert, (2) ihre kausale Beziehung zu nachhaltigem Kleidungkonsum analysiert, (3) die geschlechtlichen Unterschiede berücksichtigt und (4) mit Gender ein Ansatzpunkt für die Erklärung der gefundenen Unterschiede angeführt. Zur Aufarbeitung der Daten wird die fsQCA zur Untersuchung des Themas nachhaltiger Kleidungskonsum angewandt. Die Natur dieser Auswertungsmethode, welche statt kausaler unidirektionaler Zusammenhänge zwischen zwei Variablen Schnittmengen zwischen zwei oder mehr Phänomenen untersucht, trägt zu einer neuen Perspektive auf die Beziehung zwischen Werten und nachhaltigem Kleidungskonsum bei. Eine wichtige Forschungsleistung dieser Arbeit besteht darin, gerade das Zusammenspiel der verschiedenen Werte zu betrachten und damit ein tieferes Verständnis von wichtigen Einflussfaktoren für nachhaltigen Kleidungskonsum zu ermöglichen. Dies ist ein Ansatz, welcher über die bisher existierenden Forschungserkenntnisse hinausgeht und für zukünftige Forschungsvorhaben zu Motiven für nachhaltigen Konsum hilfreich sein kann. Aus den gewonnenen Erkenntnissen werden Handlungsempfehlungen für die Kommunikation von NGOs und Unternehmen mit nachhaltiger Ausrichtung abgeleitet, wie eine zielgerichtete Ansprache zur Intensitätssteigerung dieser bereits vorhandenen Bedingungen gestaltet werden kann.