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In der vorliegenden Textsammlung werden verschiedene kunst- und kultursoziologische Fragestellungen behandelt. Grundlage und Zentrum der Beiträge bildet die Kultur- und Sozialtheorie Pierre Bourdieus. Die wichtigsten Konzepte und Begrifflichkeiten Bourdieus werden anhand unterschiedlicher theoretischer Problematiken wie auch am Beispiel praktisch-künstlerischer Arbeiten diskutiert. Dabei wird ein Verständnis der Bourdieu´schen Kunstsoziologie als Kultursoziologie vertreten, das in Die ästhetische Disposition ausgeführt wird.
Gegenstand des Forschungsvorhabens ist das künstlerische Werk von Isa Genzken (geb. 1948). Untersucht werden rezeptionsästhetische Formen des frühen, architektonischen Werkes sowie jüngster, figürlicher Arbeiten. Charakteristisch für das Gesamtwerk der Künstlerin ist ein formaler Bezug zur künstlerischen Praxis der Minimal Art. Zugleich verwendet die Künstlerin Formen und Motive, die über das individuelle und das kollektive Wissen des Betrachters entschlüsselbar sind. Vor allem in den jüngsten Skulpturen und Installationen lässt sich eine konsequente Entwicklung von einer formalistischen Formensprache hin zu einer medienhybriden, installativen Arbeitstechnik unter Verwendung auch figürlicher Bildelemente feststellen. Ziel der Dissertation ist es zu begründen, inwiefern die unterschiedlichen Lesarten, die sich aus diesem Spannungsverhältnis ergeben, der in der Kunsttheorie der Moderne gängigen Unterscheidung von "literaler" und "illusionistischer" Kunst widersprechen, die anlässlich des gesteigerten Literalsinns der Minimal Art aufgestellt wurde.
Internet- and mobile technologies are increasingly used to deliver mental health care. E-Mental Health is promising for the prevention and treatment of mental disorders. However, while E-Mental Health was shown to be an effective treatment tool, fewer studies investigated the prevention of mental health problems with E-Mental Health approaches. In a series of three studies, this dissertation examines internet- and mobile-based approaches for the early monitoring and supporting of mental health. First, a pilot study investigates the use of smartphone data as collected by daily self-reports and sensor information for the self-monitoring of bipolar disorder symptoms. It was found that some, but not all smartphone measurements predicted clinical symptoms of mania and depression, indicating that smartphones could be used as an earlywarning system for patients with bipolar disorder. Second, a randomized controlled trial evaluates the effectiveness of an internet-based intervention among persons with depression and sickness absence. The intervention was found to be effective in reducing depressive symptoms compared to a control group, suggesting that the internet can provide effective support for people with sickness absence due to depression. Third, a study protocol proposes to combine self-monitoring with a mobile intervention to support mental health in daily life. Supportive self-monitoring will be evaluated in a fully mobile randomized controlled trial among a sample of smartphone users with psychological distress. If supportive self-monitoring on the basis of a smartphone application is effective, it could be widely distributed to monitor and support mental health on a population level. Finally, the contribution of the presented studies to current research topics in E-Mental Health is discussed.
Online advertising has become one of the most important dimension of corporate communications. In recent years, a new form of advertising on the Internet has emerged: real-time advertising. Among others, it allows companies to identify potential customers and target them with respect to their interests. In this way, real-time advertising can increase advertising effectiveness and it could, at the same time, improve user experience. With the emerge of this new form of advertising, statistical models have become even more important because they are now being increasingly used to predict online user behavior. The articles included in this dissertation analyze user-level clickstream data generated during multi-channel advertising campaigns (including TV advertising) and during real-time auctions. The goal of the analyses conducted here is to better understand advertising effects and to support decision-making in this context. Most of the analyses are based on Bayesian models. These models allow for a very flexible structure, which enables researchers to model, for instance, heterogeneity across different types of users or non-linear parameters such as users´ reaction times and exponential decay of advertising effects. In addition, these models allow for the inclusion of prior knowledge of parameter distributions, and, therefore, they are well suited for iterative analyses based on clickstream data. Bayesian models can be evaluated in different ways. Instead of only relying on statistical metrics, the articles included in this dissertation aim to estimate the economic value of these models based on their predictive performance. Although this measure can only approximate their true economic value, this approach can be used to compare and evaluate different models and to illustrate the impact of predictive analyses for companies in the context of big data. This dissertation contributes to both information systems research and marketing research and has many managerial implications. First, a process is developed to determine optimal sample sizes representing the best balance between computational costs and predictive accuracy in e-commerce in particular and big data contexts in general. In practice, this process can be used to reduce infrastructure and computational costs. Second, the articles included here describe models that can be used to measure the impact of television ads on users' online shopping behavior. The models can provide insights concerning the effectiveness of individual television ads, the interactions between different advertising channels and the difference in user behavior of TV-induced customers and their non-TV-induced counterparts. Thereby, the models could support decision-making with respect to future advertising campaigns and targeting. Third, the articles describe several possibilities to extend and improve decision support systems currently used in e-commerce and marketing. These improvements enable practitioners to predict users´ interests for arbitrary products and services by using corresponding websites as dependent variables. This approach can be used to improve the effectiveness of real-time advertising campaigns, especially those intended to raise brand awareness among customers.
In der Forschungsarbeit wird ein Rahmenmodell von Kompetenzen nachhaltigkeitsorientierter Verwaltungsführung in Kommunen und ihrer Förderung entwickelt und beschrieben. Methodische Grundlage hierfür bilden eine systematische Literaturrecherche sowie 25 qualitative, leitfadengestützte Interviews mit 13 verwaltungsexternen und 12 verwaltungsinternen Experten aus drei Fallstädten (Freiburg, Wernigerode, Ludwigsburg). Übergeordnetes Ziel des Modells ist der Auf- bzw. Ausbau nachhaltigkeitsorientierter Prozesse in Kommunalverwaltungen, um nachhaltige Entwicklung auf lokaler Ebene insgesamt zu fördern. Aufbauend auf dem Managementmodell Mintzbergs und drei Sustainable-Leadership-Modellen werden hierfür nachhaltigkeitsorientierte Handlungsbereiche von Oberbürgermeistern, Beigeordneten und Fach- bzw. Amtsleitungen im Verwaltungsalltag aufgezeigt. Ob bzw. inwieweit diese Handlungsmöglichkeiten genutzt werden, hängt unter anderem von der Ausprägung zentraler Kompetenzen nachhaltigkeitsorientierter kommunaler Verwaltungsführung ab. Diese werden u. a. basierend auf Ansätzen von Nachhaltigkeitskompetenzen für Führungspersonen aus der Privatwirtschaft herausgearbeitet. Ferner werden Förderungsmöglichkeiten solcher Kompetenzen in Aus- und Fortbildung sowie in der Organisationsentwicklung und im kommunalen Personalmanagement hergeleitet und beschrieben. Potentielle konkrete Förderungsmethoden werden ebenfalls untersucht.
Wood-pastures have been present in Europe for thousands of years. This form of grazed landscape, combining herbaceous vegetation with trees and shrubs, has often co-evolved with its human users into complex social-ecological systems (SES). Wood-pastures are associated with high cultural and biodiversity values and are an example of the sustainable use of resources. However, due to their often relatively labour-intensive management and low productivity, large areas of wood-pastures have been lost over the last century. The loss of these areas means not only the loss of biodiversity on both local and landscape scales, but also the loss of traditional farming and cultural heritage in some regions. Across the European Union, wood-pastures are facing different problems and are embedded in different social systems and ecological environments. Yet they are all affected by global change and common European policies. To understand the challenges for wood-pastures in a changing world, a holistic approach combining different disciplines is needed. This dissertation therefore is analyzing wood-pastures across Europe as a Social-ecological System, combining ecology and social science with the aim to identify the barriers and drivers for wood-pastures persistence into the future.
Derivatives are contracts between two parties, a buyer and a seller. The contract will be fulfilled in some point in the future at a predetermined price. The value of those contracts is based on an underlying entity which can be a traded asset or even the weather. Derivatives contain chances, but also risks, investor should be aware off. This thesis aims to deeply analyze two derivative products in the German market and one risk for each which influences the prices of those products. The first part of this thesis focuses on warrants and the issuer's credit risk involved. It finds evidence that the issuer's credit risk influences the connection between warrant characteristic and its prices. Over time this connection is unstable partly driven by the issuer's credit risk. The second paper of this thesis shows that issuers seem to use their credit risk systematically to influence warrant prices. Evidence is found that the changes in credit risk are not fully included in the prices directly, but that the adjustment to the new level of credit risk takes several days. In addition, the issuer's adjustment to changes in credit risk are different for credit risk increases than for credit risk decreases. Especially after financial crisis, in more stable times, evidence is found for such adverse pricing pattern. The third part of the thesis focuses on energy derivatives traded at the Europe Energy Exchange and analyses the influence of weather parameters on energy derivatives with different load profiles and time horizons. This part of the thesis finds that especially wind speed and sun hours have a strong influence on energy derivatives. However, not all products are influenced in the same manner. Products with a longer time horizon are influenced less than the product with a short horizon. Moreover, products comprising hours of the day where energy consumption is expected to be higher are influenced stronger than products comprising hours of a day with lower time consumption. The thesis shows that derivatives are not alike and that it is needed for future research to differentiate between products and the risks which are involved. Since even though we classify them all as derivatives the risks influencing the derivative´s prices do vary tremendously.