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Institut
- Fakultät Wirtschaftswissenschaften (112) (entfernen)
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.
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.
The present work introduces four theoretical papers, which primarily focus on R&D, interindustrial linkages, and their policy implications. All in all, three issues basically motivated conception and realization: At first, previous NEG models do not incorporate endogenous R&D activities of firms. Existing models include R&D only in a growth context, which increases the formal complexity and departs from the simple core-periphery formulation. Second, vertical linkages are extensively considered in the class of international models. In face of its formal simplicity, the majority of publications refer to the standard model of Krugman and Venables (1995) utilizing intra-industry trade in which the manufacturing sector produces its own intermediates. However, the results are similar to the core-periphery model, but the implications of vertical linkages, especially in terms of specialization, cannot be reproduced. In contrast, the more challenging version of Venables (1996), which considers an inter-industry framework of an explicit upstream and downstream sector, is often cited (143 citations according to IDEAS/RePEc), but only few papers were directly built on it: Puga and Venables (1996), Amiti (2005), Alonso-Villar (2005). The third issue concerns the calibration of real economies. Although, hundreds of numerical simulations have been done in order to display the modeling outcomes, an application to particular industries in terms of their spatial formation and evolution is still a neglected field of research. Against this background, the present work aims to make a contribution to these topics. For a summary, all four papers are briefly to be summarized at this point. The first paper, entitled 'Too Much R&D? – Vertical Differentiation and Monopolistic Competition,' discusses whether product R&D in developed economies tends to be too high compared with the socially desired level. In this context, a model of vertical and horizontal product differentiation within the Dixit-Stiglitz (1977) framework of monopolistic competition is set up where firms compete in horizontal attributes of their products, and also in quality that can be controlled by R&D investments. The paper reveals that in monopolistic-competitive industries, R&D intensity is positively correlated with market concentration. Furthermore, welfare and policy analysis demonstrate an overinvestment in R&D with the result that vertical differentiation is too high and horizontal differentiation is too low. The only effective policy instrument in order to contain welfare losses turns out to be a price control of R&D services. The main contribution of this closed economy model in the course of the present work is a modeling framework, which can easily be adapted to the New Economic Geography. This has been approached in the second paper: ‘R&D and the Agglomeration of Industries' in which the seminal core-periphery model of Krugman (1991) is extended by endogenous research activities. Beyond the common ‘anonymous' consideration of R&D expenditures within fixed costs, this model introduces vertical product differentiation, which requires services provided by an additional R&D sector. In the context of international factor mobility, the destabilizing effects of a mobile scientific workforce are analyzed. In combination with a welfare analysis and a consideration of R&D promoting policy instruments and their spatial implications, this paper also makes a contribution to the brain-drain debate. In contrast to this migration based approach, the third paper 'Agglomeration, Vertical Specialization, and the Strength of Industrial Linkages' focuses on vertical linkages in their capacity as an additional agglomeration force. The paper picks up the seminal model of Venables (1996) and provides a quantifying concept for the sectoral coherence in vertical-linkage models of the New Economic Geography. Based upon an alternative approach to solve the model and to determine critical trade cost values, this paper focuses on the interdependencies between agglomeration, specialization and the strength of vertical linkages. A central concern is the idea of an 'industrial base,' which is attracting linked industries but is persistent to relocation. As a main finding, the intermediate cost share and substitution elasticity basically determine the strength of linkages. Thus, these parameters affect how strong the industrial base responds to changes in trade costs, relative wages and market size. The fourth paper 'The Spatial Dynamics of the European Biotech Industry' presents a simulation study of the R&D intensive biotech industry using the standard Venables model. Thus, it connects all three preceding papers and puts them into the real economic context of the European integration. The paper reviews the potential development of the European biotech industry with respect to its spatial structure. On the first stage, the present industrial situation as object of investigation is described and evaluated with respect to a further model implementation. In this context, the article introduces the findings of an online survey concerning international trade, conducted with German biotech firms in 2006. On the second stage, the results are completed by the outcomes of a numerical simulation within the New Economic Geography (NEG), considering vertical linkages between the biotech and pharmaceutical industries as an agglomerative force. The analysis reveals only a slight relocation tendency to the European periphery, constrained by market size, infrastructure and factor supply. In the final conclusions, central results of all four papers are summarized with respect to economic policy. Against the background of general legitimization and the impact of political intervention, Chapter 6 draws the main conclusions for location and innovation policies. In this regard, the industrial-base concept as well as the mobility of R&D play a central role during this discussion.
In this cumulative thesis, the author presents four manuscripts and two appendixes. In the manuscripts he discusses mindsets and their relation to the effectiveness of negotiation training. His general claim is that mindsets promise to be relevant for training effectiveness. Still, more research needs to be done and chapter 3 presents the Scale for the Integrative Mindset of Negotiators (SIM) that can be used for some of that research. In the appendixes, the author presents two negotiation training exercises. The first addresses an international refugee policy summit and the second a negotiation over the sale of a large solar pv park in Thailand.
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.
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.
Decoding the psychological dimensions of human odor perception has long been a central issue of olfactory research. As odor percepts could not be linked to a few measurable physicochemical features of odorous compounds or physiological characteristics of the olfactory system, odor qualities have often been assessed by perception–based ratings. Although these approaches have been promising, none of the proposed system has sustained empirical validation. In a review of 28 studies, the authors assessed how basic characteristics of study design have been biasing perception–based classification systems: (1) interindividual differences in perceptual and verbal abilities of subjects, (2) stimuli characteristics, (3) approaches of data collection, and (4) methods of data analysis. Remarkably, many of the difficulties in establishing these systems have been rooted in one underlying issue: the puzzling relationship between language and olfaction in general. While the reference from odors to language is weak, the reverse impact of verbal processing on olfaction seems powerful. Odor perception is biased by verbal–semantic processes when cues of an odor's source are readily available from the context. At the same time, olfaction has been characterized as basically sensation driven when this information is absent. The authors examined whether language effects occur when verbal cues are absent and how expectations about an odor's identity shape odor evaluations. Subjects were asked to rate 20 unlabeled odor samples on perceptual dimensions as well as quality attributes and to eventually provide an odor source name. In a subsequent session, they performed the same rating tasks on a set of written odor labels that was compiled individually for each participant. It included both the 20 correct odor names (true labels) and – in any case of incorrect odor naming in the first session – the self–generated labels (identified labels). The authors compared odor ratings to ratings of both types of labels and found higher consistencies between the evaluation of an odor and its identified label than between the description of an odor and its true (yet not associated) label. These results indicate that basic perceptual as well as quality ratings are affected by semantic information about an odor's source – even in absence of source cues. That is, odor sensation may activate a semantic mental representation of an odorous object that affects odor processing and may in turn relate to further multimodal properties. That means, associations between odors and stimuli from other sensory modalities should not only be stable, but these mappings should be mediated by an odor’s identity. The authors asked subjects to visualize their odor associations on a drawing tablet, freely deciding on color and shape. Additionally, they provided a verbal label for each sample. Color mappings were odor-specific, they reflected the imagery of a natural source and seemed to change with assumed odor identity. Shape mappings changed with odor identifications as well, as drawings frequently displayed concrete objects that reflected visual features of an odor's source. The influence of verbal identity codes on quality ratings or crossmodal mappings is rooted in the very same problem that perception–based classification systems have tried to solve – a terminology that relates to abstract mental categories. The less specific we communicate, the more we need to resort to source–related analogies – in scientific endeavors and everyday life alike.
Es gibt bisher wenige empirische Modelle zum Flugzeugkabinenkomfort, und vereinzelt werden Umgebungsfaktoren wie Akustik, Turbulenzen, Temperatur und Luftqualität untersucht, aber kein Vorhersagemodell für den Gesamtkomfort existiert bislang. Ziel der Studie ist es, die Determinanten für das Komforterleben bzw. die Zufriedenheit in der Flugzeugkabine zu identifizieren. Dabei wird ein Methodenmix aus drei Datenerhebungen angewendet: (1) In der ersten Untersuchung werden zehn Flugzeugkabinenbilderpaare zehn Sekunden pro Bild präsentiert. Über die multidimensionale Skalierung wird auf einer fünfstufigen Skala die Ähnlichkeit von sehr bis gar nicht dargeboten. Die eindimensionale Darstellung der Bilder legt nahe, dass es einen Faktor wie "Platz zum Sitzen" gibt. In Interviews wird der Annahme nachgegangen. (2) In Interviews assoziierten 61 Psychologiestudierende Nomina zum Fliegen. Bei den Kategorien stellt Platz/Beinfreiheit der am häufigsten genannte Komfortaspekt innerhalb einer Flugzeugkabine dar. Sitzkomfort, Flugbegleiter, Inflight-Entertainment, Essen, Trinken, Sicherheit, Sauberkeit wurden oft genannt, Temperatur, Design, Toiletten, Geräusche, Turbulenzen, Geruch, Luftqualität, Beleuchtung, Raucherbereiche und ein gutes Preis-Leistungsverhältnis nur vereinzelt. (3) Die Fragebögen am Hamburger Flughafen greifen die in den Interviews genannten Komfortaspekte auf. 301 Passagiere beantworteten Zufriedenheitsitems auf einer fünfstufigen Skala. Mittels einer explorativen Faktorenanalyse werden fünf Faktoren aus den Items extrahiert, die räumliche, physiologische, psychologische, physikalische und organisatorische Aspekte beinhalten. Eine lineare multiple Regression mit den fünf Faktoren zum Item "Gesamtzufriedenheit" ist hochsignifikant und klärt 40,5% Varianz auf. Die Moderatoreinflüsse und Interaktionen werden teils signifikant und klären 1,6% weniger (Fluglänge) oder 1,5% mehr (Fluggesellschaft und Flugangst) Varianz auf. Mittelwertvergleiche zeigen, dass die Star Alliance Fliegenden und Nicht-Flugängstlichen bei allen fünf Faktoren und fast allen Items hochsignifikant höhere Zufriedenheitswerte als Billigfliegende und Flugängstliche aufweisen. Bei Kurz- über Mittel- zum Langstreckenflug wurde eine v-Form gefunden mit der geringsten Zufriedenheit bei Mittelstreckenflügen mit hochsignifikanten Unterschieden. Entscheidend ist das durch die Kombination aus Zusammenhangs- und Vorhersageanalyse für den Forschungsbereich "Komfort in der Flugzeugkabine" neu generierte Gesamtkomfortmodell.
Research on motivational and cognitive processes in entrepreneurship has commonly relied on a static approach, investigating entrepreneurs' motivation and cognition at only one point in time. However, entrepreneurs' motivation and cognition are dynamic processes that considerably change over time. The goal of this dissertation is thus to adopt a dynamic perspective on motivational and cognitive processes in entrepreneurship. In three different chapters, the work examines dynamic changes in the level and impact of three different processes, i.e., creativity, entrepreneurial passion, and opportunity identification. In Chapter 2, the thesis develops a theoretical model on the alternating role of creativity in the course of the entrepreneurial process. The model emphasizes that the effects of two components underlying creativity, i.e., divergent and convergent thinking, considerably change both in magnitude and in direction throughout the entrepreneurial process. In Chapter 3, the author establishs and empirically tests a theoretical model on entrepreneurial passion. The theoretical analysis and empirical results show that the relationships between feelings of entrepreneurial passion, entrepreneurial self-efficacy, and entrepreneurial success are dynamic and reciprocal rather than static and unidirectional. In Chapter 4, the author develops and tests a theoretical model on the effect of entrepreneurship training on opportunity identification over time. The theoretical and empirical investigation indicates that entrepreneurship training effects systematically decay over time and that action planning and entrepreneurial action sustain the effects in the long term.
Intelligent Product Design
(2012)
The aim of this thesis is to generate reality-based hypotheses about the opportunities and obstacles that create the implementation of Cradle to Cradle for the companies Jules Clarysse NV and Steelcase Inc. It discusses further which marketing-mix is appropriate for Cradle to Cradle products. Therefore exploratory expert interviews have been conducted with both companies. The empirical part is introduced by a literature study. From marketing perspective, the Cradle to Cradle approach for product design is investigated while taking into account that academic literature categorizes the concept on the one hand as consistent sustainability strategy, on the other hand as sustainable design. Moreover, the broad use of the expression design, within the literature of the Cradle to Cradle founders, is analyzed. Here, Cradle to Cradle design is holding out the prospect of Triple Top Line growth, rather than meeting only the economic bottom line. In regard of aesthetics, Cradle to Cradle aspires diversity in contrast to prevailing principles of Functionalism and universal design solutions. The ‘hidden‘ design assignment of Cradle to Cradle, service design, is highlighted as sphere that should be progressed. All these considerations form the interview guideline. The interviews serve as reality check whether there result Triple Top Lines and new service models for the companies and explore how aesthetics and tools of the marketing-mix are handled in Cradle to Cradle practice.
The issue under investigation in this study is to explore the drivers and suggest methods for environmental managers to integrate environmental issues in the top management strategic decision-making. In order to make the reading easy the whole study has been written following the principle of providing the minimum information to clarify the point under discussion, no more, no less. The conclusions, the analysis, the implications and the limitations are discussed on a chapter by chapter basis, making it easier for the reader to remember the issue under discussion. The closing chapter brings together the conclusions of each chapter of the study. The study is divided into two parts. Part I: Planning describes the planning and preparation for the research and consists of the following chapters: Chapter 1 provides an overview of the interest, relevance and importance of this study. Also it proposes, through the introduction of the relevant literature, an exact wording for the research problem and a framework for evaluating the effectiveness of each process step. Chapters 2 and 3 describe and justify the chosen framework that prompts managers during interviewing and organises the resulting contents in a way that will support effective decision making. This is the end of the planning part of the study and we now move into the action part where the case studies are explained in full. Part II: Intervention comprises the following chapters: Chapter 4 is where the action begins, the first phase of the process. This chapter discusses the reasons selection and participation in the research and the process for choosing a business unit. Chapter 5 details, justifies and discusses the choices of who to interview. It outlines how the interviews were conducted and summarises the resulting contents. In Chapter 6 the general issue of who to involve in interviews is explored further for the specific case of the environmental manager. The main objective is to discuss whether and why the environmental manager had more/less/different ideas from the rest of the management team. Chapter 7 deals with the first time that the people meet as a group. For this process step the choices were about how to display and generate discussion on the contents gathered during the interviews. Chapter 8 focuses on the environmental manager’s contribution to the objective Fine-tuning discussion. Chapter 9 describes the Indicator Building process and how this may be relevant for the environmental manager. Concluding Remarks wraps up the results and discusses the need for extending this research further.
The concept of empowerment has gained considerable attention in the field of international development. Institutions such as the World Bank and the United Nations invest considerable funds and efforts trying to facilitate empowerment in developing countries. Thus, empowerment becomes important when people need to take action and be innovative in overcoming scarcity and fighting against poverty. Research shows the positive effects of empowerment on entrepreneurship-related behavior and outcomes such as proactive behavior, goal achievement, and innovation. Yet, there is a dearth of research addressing the phenomenon of empowerment in entrepreneurship. This dissertation aims to contribute to the understanding of the role of empowerment in entrepreneurship and its effects. Particularly, this dissertation targets the interplay between empowerment and entrepreneurship in the context of developing countries. Chapter 1 provides a general overview of the different topics of this dissertation. Chapter 2, introduces the construct of psychological empowerment at work as the theoretical foundation to advocate for the importance of empowerment in entrepreneurship. The chapter takes initial steps in drawing the rationale and identifying empirical evidence for the relationship between empowerment and entrepreneurial behavior and outcomes. Specifically, the chapter links the components of psychological empowerment to concrete action characteristics in entrepreneurship such as effectuation and experimentation. Chapter 3 establishes a first empirical link between empowerment and entrepreneurship. The chapter provides the construct of entrepreneurial empowerment and develops a multidimensional measure to measure its dimensions. By means of a nomological network, the chapter reveals the relations of entrepreneurial empowerment with relevant constructs and outcomes derived from entrepreneurship and empowerment research such as innovation, self-reliance, and decision-making. Chapter 4 posits entrepreneurship training, particularly personal initiative training and business literacy training, as effective means to facilitate entrepreneurial empowerment and its effect on business performance. The chapter uncovers the mechanisms accounting for the relationship between entrepreneurship training and entrepreneurial empowerment. Chapter 5 provides general theoretical and practical contributions and finishes with a general conclusion.
Due to the financial markets disturbances of 2007/2008, a considerable number of financial intermediaries such as banks, credit institutions and asset management companies noticed substantial liquidity shortages, difficulties to refinance their operations as a result of a drying out of appropriate refinancing sources, and withdrawals of deposits by consumers. These turbulences in the financial markets forced governments and central banks to increase liquidity provisions to ensure a sufficient aggregate liquidity of the financial industry. Furthermore, policy-makers decided on bailouts of banks or on supporting financial intermediaries by governmental warranties or liquidity provisions to avoid a substantial number of insolvencies of banks and other financial institutions that may have rapidly deteriorated the global financial industry. In the aftermath of the crisis, politicians and economists discussed these decisions controversially because interventions by governments and central banks appear to have a deep impact on the global economy particularly in the financial industry. Moreover, legislative and regulatory authorities decided on increasing their vigilance, particularly with focus on principal-agent problems within certain sectors of the financial industry. A considerable amount of recent research papers has focused on the dynamics of liquidity shortages that suggest the recent crisis being related to both an increasing funding liquidity risk and an emerging market liquidity risk. Self-amplifying interdependencies appear to connect these two dimensions of liquidity risk that during the period 2007 to 2008 have led to the contagion effects in the global financial industry. Only little research work so far has provided evidence from the financial crisis in 2007/2008 while focusing on the German financial industry. Thus, my doctoral dissertation covers three research papers that address the occurrence of substantial liquidity risk and default probability within the German financial industry over the course of the financial crisis of 2007/2008. My first publication co-authored with Daniel Schmidt, Leuphana University of Lüneburg, entitled ‘Consumer reaction to tumbling funds - Evidence from retail fund outflows during the financial crisis 2007/2008’ focuses on funding liquidity risk of German retail funds. Contrary to the findings reported in some of the extant literature, our study indicates that over the past few years a change in investors’ behavior patterns means that investment decisions are made at short notice, and that shares are redeemed in a discriminatory manner when funds perform poorly. By using data assembled from 1672 retail funds in Germany over the period March 2008 to April 2010, we are able to show that in general, both the prior fund performance and prior net redemptions have a statistically significant influence on fund outflows. Moreover, there are indications that in recent crises situations that have resulted in the withdrawal of shares investors react fast to market signals. My second research paper entitled ‘Leveraging and risk-taking within the German banking system: Evidence from the financial crisis in 2007 and 2008’ examines the risk-taking attitudes of distinguishable German banking sectors. This study intends to examine whether the German banking system displays pro-cyclical behavior during 2000 to 2011, and to what extent specific sectors of the German banking system show significant balance sheet operations to increase their leverage during years of booming asset prices. The results of this study demonstrate that different sectors of the German banking system did operate their business more or less pro-cyclical. It also provides empirical evidence that certain banking sectors did favor refinancing their assets by short-term borrowing in the interbank market to increase their leverage during periods of extraordinary high returns in financial markets. Moreover, this study shows that banks, which operate above average leverages, tend to report a high volatility of return on assets and low distances-to-default. Finally, my third paper entitled ‘Are private banks the better banks? An insight into the ownership structure and risk-taking attitudes of German banks.’, and co-authored with Thomas Wein, Leuphana University of Lüneburg, tries to enlighten the influence of the different principal-agent relationships on the risk-taking attitudes of German banks. In this study, we propose our hypothesis that the distinguishable principal-agent relationships of German banks are significantly influencing the risk-taking attitudes of bank managers. Particularly, we intend to substantiate the theory that banks owned by dispersed shareholders or federal state authorities face a higher relevance of principal-agent problems than other banking sectors due to a missing ability to monitor bank managers. Our results underline that these problems appear to mislead bank managers showing an unreasonable risk-taking behavior. In a first stage, we rely on a theoretical model explaining that from the bank owners’ viewpoint three factors of the principal-agent relationships are determining the probability of choosing the optimal portfolio of risky assets. These factors cover the ability to control bank managers, the risk pooling capabilities of bank owners and bank managers, and the incentives of seeking high returns. To support our hypothesis we apply an empirical study to the distances-to-default of different German banking sectors. This demonstrates that risk-taking attitudes of banks are closely related to banks’ ownership. Consequently, our findings offer evidence, that legislative and regulatory authorities should increase their vigilance in terms of principal-agent problems within certain sectors of the banking industry.
Employee health is an important factor for individual and organizational performance. In particular the healthcare sector is characterized by high physical and mental demands that result in poor employee health and high levels of sick leave. One way to support employee health at the workplace is through leadership. By creating a healthy work environment and climate, leadership can promote employee health and well-being, in particular health-specific leadership. However, there has been scant insights into contextual factors that are relevant for health-specific leadership. This dissertation aims to investigate the relevance of contextual factors for health-specific leadership and its relationship with employee health. Three studies were conducted to identify relevant individual and work-related characteristics for health-specific leadership as well as to investigate the influence of specific individual and organizational factors. The first study is a questionnaire-based survey with 861 healthcare employees. Its findings show a positive relationship between health-specific leadership and employee health in the healthcare sector. Social demands and social resources are analysed as mediating factors. Furthermore, the affective commitment of employees is considered as an additional outcome of health-specific leadership. The second study identifies drivers and barriers for health-specific leadership in an explorative design based on 51 interviews with healthcare managers and collates these factors with the theoretical background. The findings show various influencing factors relating to leadership, employees, and the organization. The third study investigates the influence of individual factors on health-specific leadership and is based on a questionnaire survey among 525 healthcare employees. Managers personal initiative and employee self-care influence the relationship between health-specific leadership and employee burnout in different ways. In summary, this dissertation contributes to the literature by putting health-specific leadership into context and providing insights into influencing factors. The findings broaden the understanding of how health-specific leadership can influence employee health. The implications for theory and practice are discussed and directions for future research are outlined.
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. 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 aber dringend notwendig. Ein wichtiger Erfolgsfaktor für die effektive Ansprache der Konsumierenden ist die Berücksichtigung handlungsrelevanter Persönlichkeitsmerkmale auf Seiten 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 Konsumierenden auf das Verhalten aus. 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 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 - ein Ansatz, der über die bisher existierenden Forschungserkenntnisse hinausgeht. Aus den gewonnenen Resultaten 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.