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The dissertation consists of three scientific papers and a synopsis. The synopsis addresses the relevance of the dissertation and lists the key factors for the sustainability transition in the electricity system as a common denominator of the three papers. The relevance of the dissertation results, on the one hand, from the urgency of the sustainability transition in the electricity system and an insufficient transition willingness of the eastern European Member States. On the other hand, the Multi-Level-Perspective as one of the most important scientific frameworks to grasp transitions does not provide a sufficient explanation of its mechanisms. Moreover, Demand Response aggregators as new enterprises on the European electricity market and potential reform initiators are still under researched. The following key factors for the sustainability transition of the electricity system have been identified: supply security concerns, Europeanisation, policy making and the dominance of short-term oriented economic evaluation. Paper#1 sheds light on the roots of this problem in the context of Poland. It suggests that unfavorable regulation is symptomatic of the real, underlying barriers. In Poland, these barriers are coal dependence and political influence on energy enterprises. As main drivers, supply security concerns, EU regulatory pressure, and a positive cost-benefit profile of DR in comparison to alternatives, are revealed. A conceptual model of DR uptake in electricity systems is proposed. Applying a social mechanisms approach to the Multi-Level Perspective, paper#2 conceptualizes mechanisms of socio-technical transitions and of gaining legitimacy for transitions as co-evolutionary drivers and outcomes. Situational, action-formational, and transformational mechanisms that operate as drivers of change in a socio-technical transition require corresponding framing and framing contests to achieve legitimacy for that transition. The study illustrates the conceptual insight with the case of the coal dependent Polish electricity system. Paper #3, a qualitative study reveals Demand Response (DR) aggregators as institutional entrepreneurs that struggle to reform the still largely supply-oriented European electricity market. Unfavourable regulation, low value of flexibility, resource constraints, complexity, and customer acquisition are the key challenges DR aggregators face. To overcome them they apply a combination of strategies: lobbying, market education, technological proficiency, and upscaling the business. The study highlights DR aggregation as an architectural innovation that alters the interplay between key actors of the electricity system and provides policy recommendations including the necessity to assess the real value of DR in comparison to other flexibility sources by taking all externalities into account, a technology-neutral approach to market design and the need for simplification of DR programmes, and common standards to reduce complexity and uncertainty for DR providers.
Depressionen spielen eine gewichtige Rolle im Forschungsfeld der mentalen Gesundheit. Durch eine zunehmende Digitalisierung erscheint es naheliegend, depressive Störungen auch mithilfe internetbasierter Maßnahmen zu behandeln. Für den effektiven Einsatz internetbasierter interventionen existiert bereits vielfältige Evidenz. Bisher gibt es allerdings nur begrenzte Erkenntnisse darüber, ob internetbasierte Maßnahmen zur Behandlung von majoren Depressionen auch aktiven Kontrollbedingungen überlegen sind. Die Ergebnisse einer randomisiert-kontrollierten Studie (RCT = randomized controlled trial) zum Vergleich einer internetbasierten Intervention mit reiner Online-Psychoedukation (Studie 1) zeigen, dass dies zutrifft. Darüber hinaus ist die Erkenntnislage für Personen mit subklinischen depressiven Symptomen hinsichtlich ihrer langfristigen Wirksamkeit inkonsistent. Eine Meta-Analyse auf Basis der individuellen Teilnehmerdaten (IPD-MA = individual participant data meta-analysis) zur Evaluation der Wirksamkeit internetbasierter Maßnahmen zur Behandlung von subklinischen depressiven Symptomen (Studie 2) führte zu einer kurz-, mittel- und langfristigen Überlegenheit der Behandlungsgruppe im Vergleich zur Kontrollgruppe. Eine zusätzliche Analyse ergab, dass das Risiko für die Entwicklung einer majoren Depression innerhalb von 12 Monaten in der Interventionsgruppe im Vergleich zur Kontrollgruppe 28 % geringer ist. Für die Implementierung internetbasierter Maßnahmen in die Routineversorgung ist es gegebenenfalls erforderlich, geeignete Maßnahmen zu ergreifen, um mit den Studienergebnissen vergleichbar hohe Effekte bei den Betroffenen zu erreichen. Die Identifizierung von Faktoren, die den Behandlungserfolg beeinflussen, ist von großem Interesse, um internetbasierte Maßnahmen geeigneten Populationen kosteneffektiv und mit maximalem Nutzen zur Verfügung stellen zu können. Die IPD-MA für Personen mit subklinischen Symptomen (Studie 2) zeigte, dass eine hohe initiale Symptomschwere und höheres Alter zu einer niedrigeren depressiven Symptomatik zum Post-Messzeitpunkt führten. Eine weitere IPD-MA für Personen mit majorer Depression (Studie 3) identifizierte darüber hinaus ein geringes Bildungsniveau als Risikofaktor für eine Symptomverschlechterung. Die Ergebnisse des RCT (Studie 1) lassen vermuten, dass für Teilnehmer mit vorangehender Psychotherapieerfahrung Online-Psychoedukation bereits hilfreich ist, während diese Maßnahme für Therapie-Neulinge keinen Nutzen zeigt, sie aber erheblich von der internetbasierten Intervention zur Behandlung ihrer Symptome profitieren. Angesichts der zunehmenden Nutzung internetbasierter Maßnahmen zur Behandlung von depressiven Symptomen erscheint es erforderlich, das Augenmerk neben dem Behandlungsnutzen auch auf die unerwünschten Nebenwirkungen zu lenken, für deren Berichterstattung und Handhabung es in diesem Forschungsfeld bisher kaum einen Konsens gibt. Die IPD-MA zur Behandlung von majoren Depressionen (Studie 3) konnte zeigen, dass das Risiko für eine reliable Verschlechterung von der Ausgangssituation bis zum Post-Messzeitpunkt in der Interventionsgruppe im Vergleich zur Kontrollgruppe signifikant geringer war. Eine langfristige Überlegenheit ließ sich nicht konsistent bestätigen. Der RCT (Studie 1) zeigte keinen signifikanten Unterschied in den Verschlechterungsraten zwischen den beiden Versuchsgruppen. In Studie 2 war die Interventionsgruppe der Kontrollgruppe zum Post-Messzeitpunkt und nach 12 Monaten hinsichtlich einer Symptomsteigerung um 50 % überlegen. Wie negative Effekte von internetbasierten Maßnahmen zukünftig idealerweise definiert und berichtet werden sollten, bedarf weiterer Klärung.
Since the early 2000s, ecosystem services strongly gained significance as a research topic. However, the temporal dimension of ecosystem services has not been taken into consideration, although this should be the basis for a sustainable long-term management of ecosystems and their services. Therefore, the author presents three articles in this thesis that deal with temporal aspects of ecosystem services. In two of them she also present a proposal for a framework for the classification of ecosystem services based on their temporal dynamics. In this dissertation she differentiates between two types of temporal aspects, both of which have in common that change takes place over a certain period of time. The concepts of transformation, transition and regime shift are used to describe changes in social or ecological systems as a whole, for example the transformation towards a more sustainable society. The temporal dynamics, on the other hand, relate to the temporal changes in ecosystem services themselves. The first article focuses on how the literature on ecosystem services incorporates social and ecological change. The second and third articles deal with the temporal dynamics of ecosystem services. While the second article presents a preliminary framework for categorizing the temporal dynamics of ecosystem services, the third article uses this framework to test how the temporal dynamics of ecosystem services are represented in the literature. Based on the insights from the three articles, the author concludes that most of the studies on ecosystem services only focus on one point in time. One reason for this is that most studies are conducted over a maximum of a four-year time span which does not allow to monitor dynamics over longer time spans.
Maximizing the value from data has become a key challenge for companies as it helps improve operations and decision making, enhances products and services, and, ultimately, leads to new business models. While enterprise architecture (EA) management and modeling have proven their value for IT-related projects, the support of enterprise architecture for data-driven business models (DDBMs) is a rather new and unexplored field. The research group argues that the current understanding of the intersection of data-driven business model innovation and enterprise architecture is incomplete because of five challenges that have not been addressed in existing research: (1) lack of knowledge of how companies design and realize data-driven business models from a process perspective, (2) lack of knowledge on the implementation phase of data-driven business models, (3) lack of knowledge on the potential support enterprise architecture modeling and management can provide to data-driven business model endeavors, (4) lack of knowledge on how enterprise architecture modeling and management support data-driven business model design and realization in practice, (5) lack of knowledge on how to deploy data-driven business models. The researchers address these challenges by examining how enterprise architecture modeling and management can benefit data-driven business model innovation. The mixed-method approach of this thesis draws on a systematic literature review, qualitative empirical research as well as the design science research paradigm. The investigators conducted a systematic literature search on data-driven business models and enterprise architecture. Considering the novelty of data-driven business models for academia and practice, they conducted explorative qualitative research to explain "why" and "how" companies embark on realizing data-driven business models. Throughout these studies, the primary data source was semi-structured interviews. In order to provide an artifact for DDBM innovation, the researchers developed a theory for design and action. The data-driven business model innovation artifact was inductively developed in two design iterations based on the design science paradigm and the design science research framework.
Die fortschreitende Aktivierung vieler Lebensbereiche führt zu einer gezielten Nutzbarmachung von menschlichen Ressourcen. Dies gilt speziell für die Ressourcen von Frauen und Kindern. Ausgehend von einem sozialpädagogisch-sozialpolitischen Sozialmanagementverständnis und aufbauend auf u.a. oststrukturalistischen, soziologischen, pädagogischen und professionspolitischen Theorien untersucht diese Studie die politischen Diskurse zum Prozess der Realisierung des Kinderförderungsgesetzes (KiföG) im Deutschen Bundestag (2009-2013) und punktuell in anderen Diskursarenen in Form einer Wissenssoziologischen Diskursanalyse (Keller 2011). In dieser werden Diskurs- und Subdiskursstränge herausgearbeitet sowie Konstruktionen wie bspw. Familienbilder der Akteure analysiert, unter Berücksichtigung von Sprache als Mittel im politischen Diskurs sowie von Frames (Wehling 2017). Die verschiedenen Deutungsmuster der Diskursakteuren werden rekonstruiert und es wird u.a. herausgearbeitet, welche Deutungsmuster in Bezug auf die Realisierung des Kinderförderungsgesetzes konstruiert wurden. Subdiskurse sind dabei u.a.: die Zuständigkeit für den Betreuungsausbau und die Finanzierung; Familienbilder; das Betreuungsgeld als Alternative zur institutionellen Betreuung; die sozialen Berufe. Zudem wird dargestellt, welche Auswirkungen und Bedeutungen die Diskurse auf die Profession der Sozialen Arbeit und das Sozialmanagement haben. Deutlich wird, dass Kinder als Ressourcen der Gesellschaft eine wichtige Rolle in den Diskursen einnehmen. Sie sollen gefördert werden, damit sie für sich aber auch die Gesellschaft einen Mehrwert erwirken. Auch nimmt die Vereinbarkeit von Familie und Beruf, speziell für Frauen, einen wichtigen Stellenwert in den Diskursen ein. Die familienpolitische Maßnahme des Betreuungsgeldes wiederspricht hingegen teilweise der dominanten Argumentation der Aktivierung der Subjekte und bildet damit ein besonderes Element in den analysierten Diskursen. Wichtig ist hierbei auch das jeweilige Familienbild der Diskursparteien, dass Einfluss auf u.a. die Positionierung zum Betreuungsgeld hat. Die sozialen Berufe werden in den Diskursen als wichtige Akteure konstruiert, da sie die Subjekte aktivieren und damit die Potenziale der Subjekte bzw. die Subjekte als Ressource entwickeln helfen.
This thesis analyses how European merger control law is applied to the energy sector and to which extent its application may facilitate the liberalisation of the electricity, natural gas and petroleum industries so that only these concentrations will be cleared that honour the principles of the liberalisation directives. After having discussed the complex micro- and macro-economic considerations which accompany any concentration of business activities, this thesis discusses the merger control regime of the European Community (EC) so as to establish whether the merger control under either Art. 66 Treaty Establishing the European Coal and Steal Community (ECSCT), the case law under Art. 101 and 102 Treaty on the functioning of the European Union (TFEU) and (Art. 81 and Art. 82 Treaty Establishing the European Economic Community (ECT), as it was introduced by the Commission and reviewed by the CJEU, the original Merger Regulation (MR1989) or the amended Merger Regulation of 1997 (MR1997) or the amended Merger Regulation of 2004 (MR2004) facilitate the liberalisation of European electricity and gas markets. Said liberalisation was introduced by the Internal Electricity Market Directive (IEMD), the Hydrocarbons Licensing Directive and the Internal Gas Market Directive (IGMD). The paper focuses on the contestable idea that regulatory amendments - especially the introduction of third party access by means of the directives - only form a first necessary condition for attaining economic alterations whereas pro-active conduct of the marketers is the second and decisive one in order to increase the competitive performance of the European energy supply industries. The analysis is supported by a second argument which relates closely to the ambivalent nature of concentrations: A concentration may be used to increase the process of market opening and the expansion into new markets by pooling of scarce resources. It may also be used as a retro -active means so as to create national champions, increase barriers to market entry of new competitors, enable cross-subsidisation so as to expand dominant positions on heretofore competitive up- and downstream markets.
Kompetenz und Performanz von (angehenden) Lehrkräften im Bereich Deutsch als Zweitsprache (DaZ)
(2021)
Die Forderung nach sprachbildendem Fachunterricht ist aktueller denn je. Deshalb stellt sich die Frage, welche Kompetenzen (Fach-) Lehrkräfte benötigen, um dies leisten zu können und wie sie diese in ihrer Aus- und Weiterbildung erwerben können. Zwar gibt es Empfehlungen für die Lehrkräftebildung, jedoch ist die Ausbildungslandschaft im Bereich Deutsch als Zweitsprache (DaZ) deutschlandweit und universitätsabhängig sehr heterogen. Um Aussagen über benötigte Kompetenzen treffen zu können, müssen diese messbar gemacht werden. Wissensfacetten im Bereich DaZ können mit einem Paper-Pencil-Test erfasst werden. Um Handlungsfacetten erfassen zu können, wird eine Testumgebung benötigt, die der Komplexität von Unterricht möglichst gerecht wird, weshalb sich Paper-Pencil-Tests dafür nicht eignen. Dem Kompetenz-als-Kontinuum-Modell (Blömeke, Gustafsson & Shavelson, 2015) folgend, widmet sich diese Arbeit der Entwicklung eines videobasierten Testinstruments mit einem mündlichen Antwortformat, um so performanznah DaZ-Kompetenz zu erfassen. Folgende Forschungsfragen werden in dieser Dissertation untersucht: 1.) Inwieweit können eine ausreichende psychometrische Qualität und eine dimensionale Struktur des Testinstruments festgestellt werden? 2.) Inwieweit kann performanznahe DaZ-Kompetenz bei (angehenden) Lehrkräften festgestellt werden? 3.) Wie hängen individuelle und akademische Hintergrunddaten der Probanden, DaZ-bezogene Lerngelegenheiten, Überzeugungen zu sprachlich-kultureller Heterogenität in Schule und Unterricht oder Persönlichkeitsmerkmale mit performanznaher DaZ-Kompetenz zusammen? Das Rahmenpapier bettet die vier Artikel in den übergeordneten theoretischen Kontext ein, diskutiert die Ergebnisse und leitet abschließend Empfehlungen für weitere Forschung und für die Lehrkräftebildung ab.
Despite growing research on sustainability transformations, our understanding of how transformative transdisciplinary research can support local actors who foster change towards sustainability is still somewhat limited. To contribute to this research question, the investigator conducted research in a transdisciplinary case study in Southern Transylvania, where non-governmental organizations (NGO) drive sustainability initiatives to foster desired changes (e.g., supporting small-scale farmers or conserving natural and cultural heritage). Interactions with these local actors and reflections on the research question shaped the research of this dissertation. In paper 1, the author conducted a literature review on amplification processes that describe actions, which local actors can apply to increase the impact of their sustainability initiatives. In paper 2, he conducted a literature review on the application of indigenous and local knowledge (ILK) in sustainability transformations research to understand whether this research engages with the conceptualization of transformations from local actors. The results show that ILK is generally applied to confirm and complement scientific knowledge in contexts of environmental, climate, social-ecological, and species change. In paper 3, the author derived principles that provide guidance for how to integrate sustainability initiatives from local actors in transformative transdisciplinary research. Based on his transdisciplinary research with the NGOs in Southern Transylvania and by using systems and futures thinking as an approach for analysis, he derived three principles that provide guidance for the co-design of sustainability intervention strategies that build on, strengthen, and complement existing initiatives from local actors. In paper 4, the author explored empirically how to identify relevant local actors for collaborations that seek to intervene in specific characteristics of a system (e.g., parameters or design of a system). He applied a leverage points' perspective to analyse the social networks of the NGOs in Southern Transylvania that amplify the impact of their initiatives. This dissertation as a whole contributes insights to three recommendations of how transformative transdisciplinary research can support local actors fostering change towards sustainability: First, by conducting research that studies and supports local actors who increase the impact of their sustainability initiatives via amplification processes (Paper 1 and 4); Second, by engaging specifically with the initiatives, networks, and knowledge from local actors, who foster bottom-up, place-based transformations (Paper 1-4); Third, by identifying and collaborating with local actors that are relevant for strategic systems interventions that build on, strengthen, and complement existing initiatives (Paper 3-4).
This dissertation presents an analysis of the relations to self and technology that emerge from and in the use of self-tracking technologies. The ethnographical study, combined with the Grounded Theory approach and a media analysis, demonstrates the complex intertwining or duality of control and care towards oneself that emerge or become possible in and through the application of ST technologies. ST devices assist in strengthening one's health and well-being in a playful way, building and maintaining a positive self-feeling, self-image and agency, and discovering unknown abilities and potentials within oneself. The ST technologies used provide orientation through complexity-reducing visualizations, highlighting patterns, and trend progression. They challenge through self-overload, dissatisfaction when not achieving goals, self-deception and distraction, narcissism and even loss of control - internally through compulsion to control as well as externally through loss of data otection and exploitation of private data by third parties, as well as handing over responsibility (in the form of decisions) to technology (algorithms) instead of self-responsibility. These two seemingly opposed yet concurrently existing self-relations reflect the dynamic between today's demands for self-responsibility (in health and performance terms) and the need for self-care and guidance for the many relevant, sometimes daily, decisions. They balance possibly existing tensions and ambiguities between the modes of self-relations that at first glance seem to be opposed and yet ultimately are jointly oriented towards the same goal, namely to master one's life (life maintenance) and to be in balance. The self-relations described in this thesis are supported, reinforced, or enabled by ST technology (and practice). Three different roles that ST technology can take in self-care and self-control were elaborated: technology as a means, a counterpart, and a promise. In relation to technology, another dialectic is visible, which shows the apparent contrast between its conception as a tool and means to achieve something and the approach to technology as an intimate counterpart (partner, nanny, coach) and a promise of salvation. The relationship with technology seems to intensify in and through the ST experience and takes on or is assigned a partner-like role by the users. Finally, the results indicate that the concept of (self-)optimization, contrary to its etymological meaning of a logic of increase, can also be understood differently, namely balancing. In this context, optimization does not necessarily mean the fastest, the highest, the strongest, but something that is achievable and satisfactory for the self - within the framework of the given and the desired. At the same time, the optimization understood as harmonizing and balancing in self-tracking becomes a lifelong task that, in principle, can never be completed because with the addition of new vital areas in life and throughout a lifetime also the individually understood and conceived balance often shifts.
Detecting and Assessing Road Damages for Autonomous Driving Utilizing Conventional Vehicle Sensors
(2021)
Environmental perception is one of the biggest challenges in autonomous driving to move inside complex traffic situations properly. Perceiving the road's condition is necessary to calculate the drivable space; in manual driving, this is realized by the human visual cortex. Enabling the vehicle to detect road conditions is a critical and complex task from many perspectives. The complexity lies on the one hand in the development of tools for detecting damage, ideally using sensors already installed in the vehicle, and on the other hand, in integrating detected damages into the autonomous driving task and thus into the subsystems of autonomous driving. High-Definition Feature Maps, for instance, should be prepared for mapping road damages, which includes online and in-vehicle implementation. Furthermore, the motion planning system should react based on the detected damages to increase driving comfort and safety actively. Road damage detection is essential, especially in areas with poor infrastructure, and should be integrated as early as possible to enable even less developed countries to reap the benefits of autonomous driving systems. Besides the application in autonomous driving, an up-to-date solution on assessing road conditions is likewise desirable for the infrastructure planning of municipalities and federal states to make optimal use of the limited resources available for maintaining infrastructure quality. Addressing the challenges mentioned above, the research approach of this work is pragmatic and problem-solving. In designing technical solutions for road damage detection, the researchers conduct applied research methods in engineering, including modeling, prototyping, and field studies. They utilize design science research to integrate road damages in an end-to-end concept for autonomous driving while drawing on previous knowledge, the application domain requirements, and expert workshops. This thesis provides various contributions to theory and practice. The investigators design two individual solutions to assess road conditions with existing vehicle sensor technology. The first solution is based on calculating the quarter-vehicle model utilizing the vehicle level sensor and an acceleration sensor. The novel model-based calculation measures the road elevation under the tires, enabling common vehicles to assess road conditions with standard hardware. The second solution utilizes images from front-facing vehicle cameras to detect road damages with deep neural networks. Despite other research in this area, the algorithms are designed to be applicable on edge devices in autonomous vehicles with limited computational resources while still delivering cutting-edge performance. In addition, the analyses of deep learning tools and the introduction of new data into training provide valuable opportunities for researchers in other application areas to develop deep learning algorithms to optimize detection performance and runtime. Besides detecting road damages, the authors provide novel algorithms for classifying the severity of road damages to deliver additional information for improved motion planning. Alongside the technical solutions, they address the lack of an end-to-end solution for road damages in autonomous driving by providing a concept that starts from data generation and ends with servicing the vehicle motion planning. This includes solutions for detecting road damages, assessing their severity, aggregating the data in the vehicle and a cloud platform, and making the data available via that platform to other vehicles. Fundamental limitations in this dissertation are due to boundaries in modeling. The pragmatic approach simplifies reality, which always distorts the degree of truth in the result.