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Mental health is an important factor in an individuals' life. Online-based interventions have been developed for the treatment of various mental disorders. During these interventions, a large amount of patient-specific data is gathered that can be utilized to increase treatment outcomes by informing decision-making processes of psychotherapists, experts in the field, and patients. The articles included in this dissertation focus on the analysis of such data collected in digital psychological treatments by using machine learning approaches. This dissertation utilizes various machine learning methods such as Bayesian models, regularization techniques, or decision trees to predict different psychological factors, such as mood or self-esteem, dropout of patients, or treatment outcomes and costs. These models are evaluated using a variety of performance metrics, for example, receiver operating characteristics curve, root mean square error, or specialized performance metrics for Bayesian inference. These types of analyses can support decision- making for psychologists and patients, which can, in turn, lead to better recommendations and subsequently to increased outcomes for patients and simultaneously more insight about the interplay between psychological factors. The analysis of user journey data has not yet been fully examined in the field of psychological research. A process for this endeavor is developed and a technical implementation is provided for the research community. The application of machine learning in this context is still in its infancy. Thus, another contribution is the exploration and application of machine learning techniques for the revelation of correlations between psychological factors or characteristics and treatment outcomes as well as their prediction. Additionally, economic factors are predicted to develop a process for treatment type recommendations. This approach can be utilized for finding the optimal treatment type for patients on an individual level considering predicted treatment outcomes and costs. By evaluating the predictive accuracy of multiple machine learning techniques based on various performance metrics, the importance of considering heterogeneity among patients' behavior and affect is highlighted in some articles. Furthermore, the potential of machine learning-based decision support systems in clinical practice has been examined from a psychotherapists' point of view.
The wide accessibility of the Internet and web-based programs enable an increased volume of online interventions for mental health treatment. In contrast to traditional face-to-face therapy, online treatment has the potential to overcome some of the barriers such as improved geographical accessibility, individual time planning, and reduced costs. The availability of clients' treatment data fuels research to analyze the collected data to obtain a better understanding of the relationship among symptoms in mental disorders and derive outcome and symptom predictions. This research leads to predictive models that can be integrated into the online treatment process to assist clinicians and clients. This dissertation discusses different aspects of the development of predictive modeling in online treatment: Categorization of predictive models, data analyses for predictive purposes, and model evaluation. Specifically, the categorization of predictive models and barriers against the uptake of mental health treatment are discussed in the first part of this dissertation. Data analysis and predictive modeling are emphasized in the second part by presenting methods for inference and prediction of mood as well as the prediction of treatment outcome and costs. Prediction of future and current mood can be beneficial in many aspects. Inference of users' mood levels based on unobtrusive measures or diary data can provide crucial information for intervention scheduling. Prediction of future mood can be used to assess clients' response to the treatment and expected treatment outcome. Prediction of the expected treatment costs and outcomes for different treatment types allows simultaneous optimization of these objectives and to increase the cost-effectiveness of the treatment. In the third part, a systematic predictive model evaluation incorporating simulation analyses is demonstrated and a method for model parameter estimation for computationally limited devices is presented. This dissertation aims to overcome the current challenges of predictive model development and its use in online treatment. The development of predictive models for varies data collected in online treatment is demonstrated and how these models can be applied in practice. The derived results contribute to computer science and mental health research with client individual data analysis, the development ofpredictive models, and their statistical evaluation.
Micro- and small enterprises are of great importance for the economic growth in developing countries, as they contribute to employment creation and innovation. In light of their economic relevance, several approaches to support micro- and small enterprises have emerged, including building human capital through business trainings. However, the effects of existing business trainings on entrepreneurial success have so far been limited. One promising alternative training approach that has emerged in the last years is personal initiative training, which teaches self-starting, future-oriented, and persistent entrepreneurial behavior. This dissertation helps to improve the understanding of personal initiative training by shedding light on the mechanisms through which it affects business success, on supporting factors, and on its long-term impacts. Chapter 1 provides an overview on the topic of personal initiative training for entrepreneurs in developing countries. Chapter 2 introduces personal initiative training and other proactive behavior trainings in various contexts of work, including entrepreneurship. The chapter presents action regulation theory and the theory on personal initiative as the theoretical foundation of the training. In addition, the chapter provides insights into training and evaluation methods and makes recommendations for the successful implementation of personal initiative training. Chapter 3 offers a first answer to the question how personal initiative after training can be maintained over time. The chapter introduces training participants' need for cognition as beneficial factor for post-training personal initiative maintenance. Chapter 4 explains how action regulation trainings like personal initiative training contribute to poverty reduction in developing countries by supporting entrepreneurial success. Chapter 5 enlarges upon the topic of personal initiative training for entrepreneurial success in developing countries. The chapter focuses on how personal initiative training supports female entrepreneurs in developing countries by helping them to overcome the uncertainty involved in entrepreneurial actions. Chapter 6 summarizes the overall findings and illustrates the theoretical and practical implications that result from this dissertation. In sum, this dissertation makes a contribution to the better understanding of personal initiative training and its effects on entrepreneurship in developing countries and thereby helps to create effective interventions to combat poverty in developing countries.
Members of Western organizations differ in various diversity attributes. In response, research aims to provide evidence-based recommendations on how to effectively manage diversity in teams. Within diversity research, the diversity faultlines approach has been particularly fruitful. It considers the impact of the alignment of multiple diversity attributes in teams. Strong diversity faultlines are associated with the emergence of relatively homogeneous subgroups in teams and have an overall negative impact on team processes and outcomes. This dissertation investigates factors that mitigate the detrimental consequences of strong diversity faultlines in teams, namely pro-diversity beliefs. It extends faultline literature beyond the conventional focus on processes and outcomes related to team members by emphasizing the leaders' perspective. The three empirical papers included in this dissertation systematically examine how strong pro-diversity beliefs can help unleashing the positive effects of team diversity despite strong faultlines. The first paper highlights the role of leaders' pro-diversity beliefs in mitigating the negative impact of diversity faultlines on two team processes: perceived cohesion and social loafing. Moreover, it compares the impact of socio-demographic faultlines (based on gender and age) and experience-based faultlines (based on team tenure and education level). Data was collected in a multisource field sample with 217 team members nested in 44 teams and the corresponding leaders. The second paper takes the impact of members' pro-diversity beliefs into account. It examines whether the impact of sociodemographic faultlines on performance is contingent on leaders' and members' pro-diversity beliefs. Moreover, the research group assumed that aggregate LMX would mediate this relationship. In a multisource data set obtained from 41 teams with 219 members and the corresponding leaders working for the German Ministry of Foreign Affairs, the investigators found partial support for their hypotheses. As expected, the impact of strong socio-demographic faultlines on diplomats' performance was least negative when both leaders and members held strong pro-diversity beliefs. The third paper zooms into processes and outcomes related to team leaders. It investigates how leaders' pro-diversity beliefs and their perceptions of members' prodiversity beliefs in teams with strong socio-demographic faultlines impact leaders´ task role assignment, performance expectation, and motivation. The research group conducted two experimental studies with students, one in Germany (N=55) and one in the US (N=134). Findings showed that strong pro-diversity beliefs held and perceived by leaders made them assign task roles that cross-cut rather than aligned with the subgroup structure created by faultlines. Moreover, leaders' perceptions of members' pro-diversity beliefs, but not their own beliefs, had a positive impact on their motivation, mediated by their performance expectation.
This thesis deals with the influence of sustainability communication on the purchase decision of sustainable tourism products involving German specialist tour operators. Sustainability communication is a challenge, because sustainable tourism is an abstract and vague concept which consumers find it difficult to grasp and about which they are sceptical. The service characteristics of tourism products complicate the decision making stage, which is a high-involvement situation of uncertainty to which sustainable product attributes add complexity. As an introduction, an interdisciplinary theory discussion reveals knowledge gaps in terms of the value-belief-norm theory and the elaboration likelihood model (ELM). The first article, which is the first systematic literature review on the topic, reveals that there is a limited theoretical understanding of sustainability communication, a lack of practical understanding of how to design sustainability messages, and an inadequate set of methodologies for its research. It identifies knowledge gaps concerning: the holistic approach to sustainability communication; its role in the attitude-behaviour gap; an interdisciplinary theoretical understanding focusing on belief-based social psychological theories and theories of persuasion; qualitative methods; and experimental design. The second article investigates the role of sustainability communication in the attitude-behaviour gap, employing the value-belief-norm theory to explain how information is processed by special interest customers. Interview findings show that ineffective sustainability communication is the reason for the gap and that customers unintentionally booked sustainably. The study identifies eight groups of beliefs which explain the processing of sustainability attributes. Sustainability information is effective when it is value-congruent, that is, when customers perceive they can make a difference, they begin to ascribe a responsibility to themselves. The third article investigates how to design an effective sustainability message in tour operator advertising. Drawing on the ELM, the study shows that appeal type does not significantly influence persuasion but the topic presented is important. Cultural sustainability is the sustainability topic that is most persuasive for cultural tourists, while consumer prior knowledge and issue-involvement with the topic promote successful information processing.
Der Wandel des Energiesystems ist eine der zentralen Nachhaltigkeitstransformationen, denen sich die Forschung widmet. Wie für die Transition-Forschung verschiedentlich festgestellt, besteht allerdings eine gewisse Lücke bei der Frage, wie Nachhaltigkeitstransformationen organisiert und finanziert werden. Insbesondere fehlt es an einer Ausdifferenzierung und vertieften Analyse einzelner institutionell-organisatorischer Lösungen und an einer Darstellung im Zusammenhang der komplexen sozio-ökologisch-technischen Systeme, in die konkrete Organisationslösungen für eine nachhaltige Energieversorgung eingebunden sind. In der vorliegenden Arbeit werden mit genossenschaftlichen Ansätzen, also Organisationslösungen mit (Teil-)Eigentum der Bürger an den Anlagen, spezifische hybride finanzielle Arrangements im Energiesektor in den Fokus gerückt. Dem institutionenanalytischen Ansatz der Bloomington School folgend wird im Rahmenpapier und insgesamt sechs Fachartikeln der Frage nachgegangen, welche Formen genossenschaftlicher Ansätze im Globalen Norden und Globalen Süden anzutreffen sind und welche Rolle diesen in den Transformationsprozessen des jeweiligen Energiesystems zukommt. Für die Analyse wird auf das Social-Ecological Systems Framework zurückgegriffen, das für die einzelnen Untersuchungen modifiziert bzw. konkretisiert wird. Im Einzelnen wird in den Fachartikeln ein Überblick über die Erkenntnisse zu genossenschaftlichen Ansätzen im Globalen Süden gegeben, auf der Makroebene den wechselnden politischen Prozessen von Koordination und Contestation nachgegangen, auf der Mesoebene die Entwicklungen von Windenergiegenossenschaften in Belgien, Dänemark, Deutschland und dem Vereinigten Königreich vergleichend analysiert, der Zusammenhang von Finanz- und Energiesystem untersucht und für diesen Kontext Gerechtigkeitsnormen konkretisiert und schließlich auf der Mikroebene die Inklusivität von Bürgerenergieinitiativen näher betrachtet und Unterschiede in den Investitionsmotiven verschiedener Bürgerenergieakteure herausgearbeitet.
In this dissertation, the author focuses on the link between (internal) corporate governance structures and processes and firms financial reporting quality. Specifically, the dissertation aims to provide insights into the following general research question: What is the effect of different corporate governance stakeholders on the financial reporting quality of a firm? The author provides insights into this question through three different articles. Paper #1 explores the relationship between family firm status and earnings management and synthesizes and explains previous research findings with the help of meta-analytic methods that are still uncommon in financial accounting research. The authors find a negative relationship between family firms and earnings management on average across 37 primary studies (and 305 effect sizes in total). Furthermore, they show that the considerable variation in size and direction of primary effect sizes can be explained by researchers choice of study design, earnings management proxy and different institutional settings. The second paper explores institutional owners as a different set of shareholders and their impact on financial reporting quality. The study enables the authors to compare the results against the backdrop of the previous chapter and to see different rationales that managers in institutionally-owned companies might have to engage in earnings management. Here, the authors study 511 effect sizes from a total of 87 primary studies and find that the average effect is slightly negative, meaning institutional owners on average can get more transparent earnings figures from the companies they invest in. Similar to the work they did on family firms, they find considerable heterogeneity between results from primary studies. Specifically, their multivariate meta-regression models can explain 26% of the variability in effect sizes, mainly attributable to study design choices. The third paper is concerned with managers and how managerial personality drives the propensity to engage in fraudulent accounting activities. The author uses a primary sample of 956 professionals, who work in accounting and finance departments, and ask them to rate their immediate superior on dark triad personality traits, as well as common actions taken by management to obscure and manipulate earnings figures. He finds that managers with high ratings for dark triad personality traits engage to a greater extent in fraudulent accounting practices, than managers scoring low on the dark triad scale. Moreover, the author can show that traditional risk management mechanisms, like internal audit departments, are only partially effective. Specifically, he finds that only internal audit departments that are fully staffed by external personnel can curb the adverse effect of dark triad managers on financial reporting quality. This suggests that managers with dark personalities can take advantage of mixed or entirely in-house internal audit departments. Overall, this dissertation contributes significantly to both literature streams of corporate governance and financial reporting quality. This work can explain a significant degree of heterogeneity in previous findings on the link between different kinds of ownership and earnings management. Further, it stresses that the considerable variation in current findings is not mainly attributable to cross-country differences, as previously suggested, but in no small part attributable to study design features. Finally, the author can provide additional evidence on current research linking executive personality traits and financial reporting practices.
The process perspective provides a unifying framework that has substantially contributed to our understanding of entrepreneurship. However, much of the research up to now has neglected this process oriented conception of entrepreneurship. There is therefore a need for studies that take the inherent dynamic processes into account and analyze the underlying mechanisms when researching entrepreneurship. This dissertation aims to improve our understanding of the entrepreneurial process. Specifically, this dissertation focuses on new venture creation and the processes of sustainable opportunity identification and opportunity deviation. Chapter 1 provides a general introduction that highlights the theoretical contributions of this dissertation and gives an overview over the conducted studies. Chapter 2 argues for a process model of entrepreneurship that places entrepreneurs and their actions center stage. The model combines different perspectives and levels of analysis and provides an integrative framework for researching new venture creation. In chapter 3 we establish and test a theoretical model of sustainable opportunity identification. The chapter explains how younger generations identify sustainable opportunities. The findings indicate that sustainable opportunity identification is a process with two transitions from problem to solution identification and from solution identification to sustainable opportunity identification. These transitions are contingent on awareness of consequences and entrepreneurial attitude. Chapter 4 offers insights into how deviation from the original opportunity increases the performance of entrepreneurial teams. The findings indicate that entrepreneurial teams with a high level of error orientation set themselves higher goals when deviating from their original opportunity. Higher goals then lead to higher team performance. Chapter 5 summarizes the overall findings and outlines the general theoretical and practical implications. Each chapter thus contributes to the process perspective by focusing on how different phases of the entrepreneurial process unfold and develop over time. Thereby, this dissertation advances our understanding of entrepreneurship as a process.
Mit der vorliegenden Arbeit werden die bis Ende 2020 entstandenen gesetzlichen Strukturen und Instrumente zum Ausbau erneuerbarer Energien aus rechtswissenschaftlicher Perspektive eingeordnet, um der Frage nachzugehen, mit welchen Ansätzen und in welchem Umfang der Rechtsrahmen die verschiedenen Entwicklungen zur Erreichung der Ausbauziele für die erneuerbaren Energien einerseits und damit deren Beitrag zur Erreichung der Klimaschutzziele steuern kann. Darüber hinaus wird beleuchtet, welche Reformperspektiven aus den bisherigen Entwicklungen abgeleitet werden können oder sollten. Dazu werden die Strukturen und Elemente des Erneuerbare-Energien-Rechts sowie dessen Entwicklungslinien herausgearbeitet und bewertet. Dieser Schritt erfolgt durch die Analyse einzelner, für das Recht der erneuerbaren Energien prägender Strukturen und Entwicklungsschritte, etwa der Schaffung neuer Instrumente wie der Nutzungspflicht erneuerbarer Energien, der Beschreibung der prägenden Strukturelemente und Wirkungszusammenhänge in dem sich im Laufe von 30 Jahren herausgebildeten Recht der Erneuerbaren Energien im Stromsektor oder anhand der Einordnung von tiefgreifenden gesetzgeberischen Veränderungen wie der Umstellung auf Ausschreibungen im Erneuerbare-Energien-Gesetz. Diese Einzelbeobachtungen werden dann in Beziehung zueinander gesetzt, Gemeinsamkeiten und Unterschiede der hinter den Entwicklungen erkennbaren Gründe herausgearbeitet und in einen übergeordneten Gesamtkontext. Die Arbeit gliedert sich in vier Schritte, die sich einer kurzen einleitenden Problemskizze in Teil 1 anschließen: die grundlegende Analyse zu Recht und Klimaschutz sowie zur Rolle des Rechts bei der Transformation (Teil 2), eine umfassende Bestandsaufnahme zu den Bausteinen des Erneuerbare-Energien-Rechts, den Entwicklungslinien und deren Einordnung (Teil 3), ein Zwischenfazit, das die Gründe für die beobachteten Entwicklungslinien und Strukturen zusammenfasst und eine Einordnung des Rechts der erneuerbaren Energien in den größeren Kontext des Umweltenergierechts (Teil 4) sowie abschließend ein auf einer Einordnung des Rechts der erneuerbaren Energien in den Kontext der neu entstehenden Klimaschutzgovernance beruhenden Ausblick auf mögliche Themenfelder der weiteren Rechtsfortbildung (Teil 5).
The increasing perils of connectivity technologies in the context of large satellite constellations come alongside with legal aspects concerning the protection of the space environment. The interplay of connectivity and sustainability must be regulated. To analyse the legal measures and tools regulating the risks, both sides of the problem are taken into consideration. The technological side of large satellite constellations is summarized under the term cybersecurity. Cyber is a code-based system, i.e. at first sight it requires a specialized field of law. This holds true on space sustainability as well. Large satellite constellations raise the discussion on space debris and junk. The consensus on the LTS guidelines by COPUOS at UNISPACE+50 in 2018 constitutes a milestone in Space Law. Space sustainability requires a particular adoption of legal norms: the idea is very similar to the subject of cybersecurity. Since both areas of issue are internationally driven and have multilateral impact, self-regulation proves ineffective. The genesis of reliable and uniform legal rules requires a different approach considering the multilevel systems of obligations with different binding authority. This thesis evaluates the balance between the future of connectivity and space sustainability in the context of large satellite constellations by considering the impact of legal rules with different binding authority.
Essays on Say-on-Pay: theoretical analysis, literature review and empirical evidence from Germany
(2019)
The dissertation contains four journal articles together with a framework manuscript. The overall subject is the so-called Say-on-Pay (SOP) vote. SOP is a law that enables shareholders to vote on the appropriateness of executive compensation during the firms’ annual general meeting. The dissertation investigates SOP votes from different angles. While the framework provides a background for the relevance of the work, outlines existing research gaps, covers an in-depth discussion and concludes relevant research questions, the four articles present the essence of the dissertation. The first article is a theoretical paper on the recent advances of behavioural agency theory. It serves as a theoretical foundation for the empirical work of the dissertation. Although principal-agent theory has gained a prominent place in research, its negative image of self-serving managers is frequently criticized. Consequently, scholars advocate the utilization of positive management theories, such as stewardship theory. This paper reviews the literature of both theoretical concepts and describes how behavioural characteristics allow for a mutually beneficial symbiosis of the two theories. The second article establishes the foundation of the scholarly knowledge in the field by systematically reviewing the empirical literature. The review covers 71 empirical articles published between January 1995 and September 2017. The studies are reviewed within an empirical research framework that separates the reasons for shareholder activism and SOP voting dissent as input factor on the one hand and the consequences of shareholder pressure as output factor on the other. The implications are analysed, and new directions for further research are discussed by proposing 19 different research questions. Building on the research gaps defined in the literature review, the third article is an empirical manuscript. In this paper, a hand-selected sample of 1,676 annual general meetings with 268 management-sponsored SOP votes in 164 different companies between 2010 and 2015 in Germany is analysed. The analysis focused on the structure, rather than the level, of executive compensation by applying a sample-selection model and panel data regression. Finally, the fourth paper investigates the rare setting of voluntary SOP votes. Using 1,841 annual general meetings of listed firms in Germany between 2010 and 2016, the effects of financial and non-financial (sustainable) performance on SOP voting likelihood and voting results are tested.
Mobilität und Tourismus gehören untrennbar zusammen, denn ohne einen Ortswechsel gibt es keine Urlaubsreise. Der Tourismus aber verursacht ca. 5 % der anthropogenen Kohlendioxidemissionen, von denen etwa 75% auf den touristischen Verkehr entfallen. Neben dem Flugverkehr trägt insbesondere der motorisierte Individualverkehr einen hohen Anteil an den Emissionen. Angesichts des deutlichen Beitrags des touristischen Verkehrs zum Klimawandel erscheint es notwendig, sich mit Wegen zu einer ökologischen touristischen Mobilität zu beschäftigen. Zur Untersuchung der Einflussfaktoren auf die touristische Verkehrsmittelwahl wurde ein Erklärungsmodell basierend auf der Theorie des geplanten Verhaltens entwickelt. Neben den Basiskonstrukten der Einstellung, der subjektiven Norm und der wahrgenommenen Verhaltenskontrolle wurden als ergänzende Modellkonstrukte die persönliche Norm, das allgemeine Umweltbewusstsein sowie gewohnheitsmäßiges Handeln hinzugefügt. Eine empirische Untersuchung (N=738) ermittelte durch multiple lineare Regression wichtige Ansatzpunkte für die Gestaltung von Handlungsempfehlungen. Signifikante Ergebnisse konnten für die Konstrukte der Einstellung, der subjektiven Norm, der wahrgenommenen Verhaltenskontrolle, der persönlichen Norm, der Gewohnheit sowie der Kontrollvariablen Alter und Einkommen erreicht werden. An diesen Einflussfaktoren auf die Intention, zukünftig ein umweltfreundlicheres Verkehrsmittel zur Reise in den nächsten Städte-Kurzurlaub zu wählen, setzen die Implikationen für die Praxis an und zeigen Möglichkeiten auf, die touristische Mobilität ökologischer zu gestalten.
Since 2000, data generation has been growing rapidly from various sources, such as Internet usage, mobile devices and industrial sensors in manufacturing. As of 2011, these sources were responsible for a 1.4-fold annual data growth. This development influences practice and science equally and led to different notations, one of the most popular one is Big Data. Besides organization with a business model based solely on Big Data, companies have started to implement new technologies, methodologies and processes in order to deal with the influx of data from different sources and structures and benefit the most of it. As the progress of the implementation and the degree of professionalism regarding data analysis differs amongst industries and companies, latter ones are faced with a lack of orientation regarding their own stage of development and existing relevant capabilities in order to deal with the influx of data as only a few best practices exist. Therefore, this research project develops a maturity model for the assessment of companies capabilities in the field of data analysis with a focus on Big Data. Basis for the model development is a construction model, developed along the criteria of Design Science Research. The developed model contains the different levels of maturity and related measurements for the evaluation of a companies Big Data capabilities with a focus on topics along the dimensions data and organization. The developed model has been evaluated based an application to different companies in order to ensure the practical relevance. The structure of the thesis is the following: In a first step, a structured literature review is carried out, focussing on existing maturity models in the field of Big Data and nearby fields as Business Intelligence and Performance Management Systems. Based on the identified white spots, a design science research oriented construction model for the maturity model development is designed. This model is applied subsequently.
Online marketing, especially Paid Search Advertising, has become one of the most important paid media channels for companies to sell their products and services online. Despite being under intensive examination by a number of researchers for several years, this topic still offers interesting opportunities to contribute to the community, particularly because of its large economic impact and practical relevance as well as the detailed and widely unfiltered view of consumer behavior that such marketing offers. To provide answers to some of the important questions from advertisers in this context, the author present four papers in his thesis, in which he extends previous works on optimization topics such as click and conversion prediction. He applies and extends methods from other fields of research to specific problems in Paid Search. After a short introduction, the dissertation starts with a paper in which the authors illustrates a new method that helps advertisers to predict conversion probabilities in Paid Search using sparse keyword-level data. They address one of the central problems in Paid search advertising, which is optimizing own investments in this channel by placing bids in keyword auctions. In many cases, evaluations and decisions are made with extremely sparse data, although anecdotal evidence suggests that online marketing is a typical "Big Data" topic. In the developed algorithm presented in this paper, the authors use information such as the average time that users spend on the advertiser's website and bounce rates for every given keyword. This previously unused data set is shared between all keywords and used as prior knowledge in the proposed model. A modified version of this algorithm is now the core prediction engine in a productive Paid Search Bid Optimization System that calculates and places millions of bids every day for some of the most recognized retailers and service providers in the German market. Next, the author illustrates the development of a non-reactive experimental method for A/B testing of Paid Search Advertising activities. In that paper, the authors provide an answer to the question of whether and under what circumstances it makes economic sense for brand owners to pay for Paid Search ads for their own brand keywords in Google AdWords auctions. Finally, the author presents two consecutive papers with the same theoretical foundation in which he applies Bayesian methods to evaluate the impact of specific text features in Paid Search Advertisements.
Corporate irresponsibility is often the result of intentionally irresponsible strategies, decisions, or actions, which negatively affect an identifiable stakeholder or environment. For instance, these range from the violation of the human rights and labor standards to environmental damages. Organizations enacting irresponsible practices rely on different factors upon multiple levels (field, organizational, individual) and its interrelations as well as processes evolving within the organization leading to such behavior. However, reasons for the occurrence of and explanations for corporate irresponsibility so far have been limited, leaving a fragmented understanding of this phenomenon. This dissertation helps to improve the understanding and explanation of corporate irresponsibility by identifying driving patterns of corporate irresponsibility and showing how the interactions across multiple levels add to this phenomenon. Chapter 1 provides an overview of the topic of corporate irresponsibility, the theoretical approaches of this dissertation and an introduction to the chapters. The second chapter offers a review and analysis of the corporate irresponsibility literature. The chapter presents a variance model outlining the concept, antecedents, moderators and outcomes of recent corporate irresponsibility literature as well as the different factors across levels (field, organizational, individual). Chapter 2 offers a critical analysis of what we know by referring to current literature and offers insights on what we don't know by deriving main implications for future research on corporate irresponsibility. Chapter 3 enlarges the understanding of corporate irresponsibility introducing a process approach to explain how corporate irresponsibility evolves over time and under which conditions. Based on a qualitative meta-analysis findings converge around two distinct process paths of corporate irresponsibility, the opportunistic-proactive, and, the emerging-reactive, subdivided into three phases. Chapter 3 sheds different lights upon the phases of corporate irresponsibility and its underlying mechanisms. The final chapter 4 focuses on different underlying mechanisms driving the final downfall or demise of organizations, organizational failure. Chapter 4 offers an alternative explanation to the competing extremism and inertia mechanisms driving organizational failure in recent studies by suggesting that these explanations are rather complementary. In addition, chapter 4 enlarges the explanation of organizational failure identifying the role of conflict mechanisms and its interplay with rigidity mechanisms. In sum, this dissertation contributes to a better understanding of what causes and increases corporate irresponsibility, and a better explanation of how and why corporate irresponsibility and organizational failure emerges, develops, grows or terminates over time.
Space-related science and technologies affect our daily life. Many countries have already formulated national space regulations to regulate their space activities. China, as one space-faring country, has obtained several achievements in space science and technologies. In recent years, Chinese private space companies have sprung up quickly, which requires a stable and foreseeable legal framework to ensure development. However, compared to the other space powers, China is the only one that has not enacted any formal national space laws. Against the background of strengthening the rule of law in China, research on China's domestic space legislation is valuable and significant. The purpose of this thesis is two-fold. First, to find the legal basis and necessity of national space legislation and to extract the basic content of the existing national space legislation, simultaneously, to identify the new developments in the content of other States´ legislative practices. Second, based on the study of national space legislation, to propose the essential content of China's space legislation.
Die Fragestellung dieses Forschungsvorhabens resultiert aus der Praxis: Was ist ein christliches Hotel? Wie konkretisieren sich die christlichen Wertehaltungen im betrieblichen Alltag eines Hotels in Deutschland? Gibt es in der betrieblichen Praxis Unterschiede zwischen christlichen und nicht christlichen Hotels aus Sicht der Mitarbeiter christlicher Hotels, und wenn ja, welche sind das? Können christliche Hotels ihre Werte im Personalmarketing als Anreize verwenden? Welche Anreize erwarten die Mitarbeiter christlicher Hotels grundsätzlich von ihren Arbeitgebern? Gibt es Unterschiede in den Bewertungen der Wichtigkeit der christlichen Ausrichtung christlicher Hotels je nach Glaubenszugehörigkeit (christlich, andere, ohne) der Mitarbeiter? Da die Anwendung bzw. Konkretion christlicher Werte im betrieblichen Kontext nicht vom kulturellen außerbetrieblichen Umfeld getrennt betrachtet werden kann, beziehen sich die vorliegenden Ausführungen allein auf christliche Hotels in Deutschland. Das Objekt „Christliches Hotel“ wurde bislang in der Forschungsliteratur noch nicht näher beschrieben. Um den Forschungsgegenstand "Christliches Hotel" zunächst näher zu beschreiben, wird das in der Qualitätsdiskussion bekannte EFQM Excellence Modell herangezogen und anhand des Werteinventars unternehmensrelevanter christlicher Werte auf die Hotellerie übertragen. Dieses entwickelte EFQM Excellence Modell - auch EFQM Excellence Modell Hotel "C" genannt - dient einer ersten Konkretion des Forschungsgegenstandes und bildet zum anderen die Basis für die empirische Studie. Hierfür wurden 276 Mitarbeiter christlicher Hotels befragt, wie sie die im Rahmen des EFQM Excellence Modell Hotel "C" konkretisierten Werte im Management ihres Arbeitgeberhotels wahrnehmen und im Vergleich zu nicht christlichen Hotels und zudem bezüglich der Wichtigkeit bewerten. Die Studienergebnisse zeigen, dass die befragten Mitarbeiter christliche Hotels in den EFQM Konstrukten Führung, Strategie, Mitarbeiter und Prozesse, Produkte und Dienstleistungen sowie in den kulturbezogenen Konstrukten Christliche Werte und Ergänzende christliche Werte im Vergleich zu nicht christlichen Hotels als signifikant besser bewerten. Christliche Werte, sofern sie nicht explizit als solche bezeichnet werden, sind den Mitarbeitern christlicher Hotels in Deutschland unabhängig von ihrer Glaubenszugehörigkeit gleich wichtig. Christlich gläubigen Mitarbeitern christlicher Hotels in Deutschland ist - explizit gefragt - die christliche Ausrichtung ihres Arbeitgebers signifikant wichtiger als Mitarbeitern ohne Glaubenszugehörigkeit. Christliche Werte spielen für die Mitarbeiter christlicher Hotels in Deutschland zusammenfassend eine wichtige Rolle. Diese immateriellen Werte sind starke Beitrags- und Bleibeanreize, die christliche Hotels im Personalmarketing verwenden können. Dies gilt umso mehr, wenn die christlichen Werte von den christlichen Hotels in Deutschland nicht nur explizit als solche zusammenfassend genannt, sondern konkret und vor allem realitätsgetreu dargestellt werden.