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Institut
- Fakultät Wirtschaftswissenschaften (112) (entfernen)
With this dissertation, I present a human resources approach to entrepreneurship through selection and training of small-business owners in developing countries. Entrepreneurship is an important source of employment, innovation, and general economic prosperity (Autio, 2005; Walter et al., 2005; Reynolds et al., 2005; Kuratko, 2003). In developing countries, job creation through business ownership is especially important because job opportunities are limited (Walter et al., 2005; Mead & Liedholm, 1998). Strengthening the small business sector is one of the best ways to reduce poverty and increase economic growth (Birch, 1987). Thus, this dissertation adds to the scientific literature in taking a human resources approach to entrepreneurship: selecting and training entrepreneurs. Selection has widely been researched on in various scientific fields like human resource management, industrial-, work-, and organizational psychology, but only partly focusing on selection of entrepreneurs. Regarding training, there exists a fair amount of studies that focus on entrepreneurship education, but a lot of them suffer from substantial heterogeneity and methodological flaws (Glaub & Frese (2011); McKenzie & Woodruff (2013)). The dissertation combines the ideas of using selection procedures for entrepreneurs with the idea of teaching entrepreneurial skills.
In this dissertation, advanced nonlinear control strategies and nonlinear minimum-variance observation are combined, in order to improve the estimation and/or tracking quality within control and fault detection tasks, for several types of systems from the fields of electromobility and conventional drivetrain technology that have some potential for sustainability or performance improvements. The application-specific innovations in terms of nonlinear Kalman filter methods are: (1) Improved state of charge estimation for Lithium-ion battery cells, powered by a novel self-adaptive EKF that uses a high-order polynomial curve fit as a decomposition of the uncertain nonlinear output equation with intentionally redundant bases, and with a reduced number of polynomial parameters that are adapted online by the EKF itself. (2) Online estimation of the time delay between two periodic signals of roughly the same shape that have pronounced uncorrelated noise, based on a fractional-order approximation of the transcendent transfer function of the time delay which is used as a model in a novel kind of EKF. (3) Using two (E)KFs (one for the linear subsystem and one for the nonlinear subsystem of a new kind of multi-stage piezo-hydraulic actuator) in a cascaded loop structure in order to reduce the computation load of the estimation, by appropriate 'interfacing' between the two observers (using one shared system model equation, among other aspects). - The innovations in terms of nonlinear control methods are powered by observation, as well: (1) Sliding mode velocity control of a DC drive that is subject to nonlinear friction and unknown load torques, enhanced by an equivalent control law, and with a new intelligent switching gain adaptation scheme (for reduced control chattering and, thus, less energy consumption and actuator wear), which is powered by Taylor-linearized model predictive control, which in turn requires observer-based disturbance compensation (by a KF with a double-integrator disturbance model) for model-matching purposes in order to function correctly. (2) Direct speed control of permanent-magnet three-phase synchronous motors that have a high power-to-volume ratio, based on sliding mode control in a rotating d,q coordinate system, with a new equivalent control method that exploits both system inputs and with a secondary sliding surface to ensure compliance with the current-trajectory of maximum efficiency for the required torque, and which works without measurement of the rotor angle (thanks to a new kind of EKF that estimates all states in the stationary α,β coordinate system, as well as the disturbance/load torque and its derivative). In all instances, improvements (compared to methods existing in the literature) in terms of control and estimation performance have been achieved and confirmed using simulation studies or real experiments.
This dissertation includes an introduction and five empirical papers focusing on the educational and career decision-making process of individuals in Germany. The five papers embrace different determinants of educational and career decisions including school performance, social background, leisure activities as well as professional expectations, and contribute to the existing literature in this research area. Chapter 2 of this dissertation begins by analysing the nexus between students’ time allocation and school performance in terms of grades and satisfaction with their own performance in mathematics, the German language and a first foreign language, as well as overall achievement. This chapter looks at the heterogeneity of three important extracurricular activities: student jobs, sports and participation in music. Moreover, the heterogeneity of each activity is addressed by accounting for different types of the particular activity and differences in the number of years the activity has been pursued. For this purpose, data from the German SOEP, as a representative panel survey of private households and people in Germany, in particular cross-sectional survey data of 3388 students who are about 17 years old and enrolled in a German secondary school, were used. The main findings are that having a job as a student is negatively correlated with school performance, whereas participation in sports and music is positively correlated. However, the results reveal heterogeneity in each activity, especially with respect to intensity. Chapter 3 addresses the concrete post-school decision of school students, in particular whether to study or to enter the German VET system (Vocational Education and Training). It focuses on individual risk preferences and the social background of individuals and how these determinants affect the ultimate decision to enrol in university or to start an apprenticeship given the same level of qualification. For the empirical approach data from the German SOEP were used, in particular information on individuals' educational decisions between 2007 and 2013. The results indicate that (i) individual risk preferences do not have an overall effect on the real transition; (ii) privileged individuals are more likely to take up higher education; and (iii) compared to highly educated parents, parents without an academic background are less likely to guide their children into tertiary education, regardless of how much they support their children with their school work. Chapter 4 deals with the reconsideration of educational decisions in terms of early contract cancellations in VET. In particular, the effects of a second job on the intention to cancel a VET contract early are analysed for apprentices in Germany. For the empirical approach the representative German firm-level study "BIBB Survey Vocational Training from the Trainee's Point of View 2008", conducted by the Federal Institute for Vocational Education and Training (BIBB), is used. The survey contains 5901 apprentices that were interviewed during their second year of apprenticeship (205 schools, 340 classes, and 15 common occupations). Furthermore, it includes the design, procedures, basic conditions, and quality criteria of apprenticeships. The applied probit regressions show a higher intention to quit if apprentices require a secondary job to cover their living costs. In Chapter 5, new data on 191 apprentices from a vocational school, located in a northern German federal state, are used to validate the empirical results of Chapter 4. This chapter presents new insights into secondary-job-related burdens during apprenticeship. Due to limitations in the data, the applied empirical approach in Chapter 4 lacks to analyse how holding multiple jobs increases the intention to leave an apprenticeship early. Therefore, Chapter 5 includes the investigations of burdens related to the second job. The results indicate a lower intention to quit the apprenticeship if an apprentice holds a second job to cover living costs. However, secondary jobs are linked to lower quality of training, which, on the other hand, increases the intention to leave the apprenticeship early. Furthermore, the probability of secondary-job-related burdens increases with the number of working hours. Chapter 6 concludes the thesis by investigating subjective determinants of early contract cancellations in VET. It examines ten questions on what apprentices want to achieve and how unfulfilled expectations affect the intention to leave the apprenticeship early. The findings of this investigation contributes to the existing research on early contract cancellation. The questions considered include information on the performance, personal development, career development and prospects or position in society and their meaning to apprentices. For the research approach, the "BIBB Survey Vocational Training from the Trainee's Point of View 2008" is considered again. The probit and ordered probit regressions applied show significant effects of job characteristics that represent job security. The expectation of being retained after an apprenticeship and the encouragement to consistently train further decrease the intention to leave the apprenticeship early. Furthermore, women appear to be more affected by job security signals than men, but they also sort more often into occupations with lower retention probabilities. Consequently, this result may be an indication of occupational segregation rather than a sign of differences between sexes.
Analysis of User Behavior
(2020)
Online behaviors analysis consists of extracting patterns from server-logs. The works presented here were carried out within the "mBook" project which aimed to develop indicators of the quantity and quality of the learning process of pupils from their usage of an eponymous electronic textbook for History. In this thesis, the research group investigates several models that adopt different points of view on the data. The studied methods are either well established in the field of pattern mining or transferred from other fields of machine learning and data mining. The authors improve the performance of archetypal analysis in large dimensions and apply it to unveil correlations between visibility time of particular objects in the e-textbook and pupils' motivation. They present next two models based on mixtures of Markov chains. The first extracts users' weekly browsing patterns. The second is designed to process essions at a fine resolution, which is sine qua non to reveal the significance of scrolling behaviors. The authors also propose a new paradigm for online behaviors analysis that interprets sessions as trajectories within the page-graph. In this respect, they establish a general framework for the study of similarity measures between spatio-temporal trajectories, for which the study of sessions is a particular case. Finally, they construct two centroid-based clustering methods using neural networks and thus lay the foundations for unsupervised behaviors analysis using neural networks.
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.
Organizational culture is widely acknowledged to be a driver of organizational effectiveness. However, existing empirical research tends to focus on investigating the links between individual, isolated culture dimensions and effectiveness outcomes. This approach is at odds with the theoretical roots of organizational culture and does not do justice to the complex reality that most organizations face. This issue is addressed by this dissertation, which is comprised of four studies. Study 1 investigated the psychometric quality and cultural equivalence of three culture measures in a German context, based on a sample of 172 employees in a bank. The results suggested that the German versions of the Denison Organizational Culture Survey and the Organizational Culture Profile performed satisfactorily, while results regarding the GLOBE survey fell short of expectations. Study 2 reviewed the literature on the link between culture and effectiveness with a focus on studies that treat organizational culture as a holistic phenomenon. The review yielded four kinds of holistic approaches (aggregation-based, agreement-based, moderation- or mediation-based, and configuration-based). Study 3 investigated how a change in organizational culture induced by an M&A project impacts employee commitment. Based on a sample of 180 employees in a German organization, the findings suggest that individuals perceive cultural change differently, that cultural stability is positively related to employee commitment, and that group-level leader-member exchange and individual self-efficacy moderate this relationship. Study 4 introduced a new theoretical perspective (set theory) and a novel methodology (fuzzy set qualitative comparative analysis) to the field of organizational culture. Across two samples (1170 employees in a financial service provider and 998 employees in fashion retailer), results indicated that culture dimensions do not operate in isolation, but jointly work together in achieving different effectiveness outcomes.
Einhergehend mit politischen, naturbezogenen und konjunkturellen Herausforderungen der Tourismusbranche sehen sich Reisebüros auch im Wettbewerb mit neuen Medien. Beratungsqualität im Face-to-Face Vertrieb muss sich in diesem Zusammenhang der Diskussion stellen, womit traditionelle, konzern-eigene Reisebüros ihre Existenzberechtigung behalten. Die Erfassung persönlicher Faktoren im Gespräch, die weichen Erfolgsfaktoren in Bezug zu Beratungsqualität von Reisebüromitarbeitern, stehen im zentralen Forschungsinteresse. Die daraus resultierenden Fragenstellungen lauten unter anderem: Welche Softskills der Reisebüromitarbeiter sind notwendig, um ein gutes Beratungsgespräch zu führen? Lassen sich Softskills von Reisebüromitarbeitern methodisch erfassen? Was unterscheidet umsatzstarke von umsatzschwachen Beratern in der Reisevermittlung? Die Zielsetzung ist ein innovatives und adaptives Konzept zur Steigerung der Beratungsqualität von Reisebüromitarbeitern und damit zur Erfolgsicherung konzerngesteuerter Reisebüros. Zur Konkretisierung wurde die SERVQUAL-Methode ausgewählt, da sie sich durch eine Doppelskala auszeichnet, um die Lücke zwischen erwarteter und wahrgenommener Beratungsqualität zu messen. Dies bedeutete jedoch auch, dass die Probanden zu jeder gestellten Frage zwei unterschiedliche Antworten geben mussten. Eine zur tatsächlich erlebten, wahrgenommenen Qualität, in dieser Arbeit zur Beratungsqualität und eine zu den subjektiven Erwartungen an die eigene Leistung. Die Mitarbeiterbeurteilung der Beratungsqualität erfolgte durch die SERVQUAL Dimensionen Annehmlichkeit des tangiblen Umfeldes, Zuverlässigkeit, Reaktionsfähigkeit, Leistungskompetenz, Einfühlungsvermögen und wurde um die Dimension Kommunikationsfähigkeit ergänzt. Grund hierfür ist, von Reisebüromitarbeiter werden gleichzeitiges kunden- und auch umsatzorientiertes Arbeiten erwartet. Sie haben dabei einen hohen Anspruch zu erfüllen. Neben dem fachlichen Wissen sind Fähigkeiten in der verbalen und nonverbalen Kommunikation ebenso notwendig wie eine nach innen (zum Konzern, dem Büro und den Kollegen) und nach außen (kundenorientierte) gerichtete Kommunikation. Dies ließ eine Erweiterung des SERVQUALS um Kommunikation für nötig erscheinen. Im weiteren Verlauf wurden auch Schulungen der Reisebüromitarbeiter, in Ergänzung zu früheren Voruntersuchungen, mit einbezogen. Das gewählten SERVQAUL-Verfahren wie auch die Faktorenanalyse boten sich für die vorliegenden Fragestellungen zu den Schlüsselfaktoren der Mitarbeiter geradezu an und haben zu umfangreichen Erkenntnissen geführt. Voraussetzung der gewonnenen Erkenntnisse waren einerseits theoretische Analysen zur Beratungsqualität im Vorfeld, Würdigung bisheriger Untersuchungen des Reisebürovertriebes und die dargestellte empirische Forschung. In der Voruntersuchung wurden die unabgesicherten und subjektiv orientierungsweisende Meinungen der Praktiker hinzugezogen. Konkretisierend zeigt das Ergebnis des mehrjährigen Forschungsprojektes eine eher langfristige Entwicklung der Beratungsqualität von Reisebüromitarbeitern auf. Die Bemühung lag darin, Verbindungen zwischen praktischem Knowhow und Idealvorstellungen von Beratungsqualität mit den Theorien der Wirtschaftswissenschaften zwecks Erkenntnisfortschrittes zu finden.
This paper-based dissertation deals with capital structures and tax policies of German family businesses. Family firms as the predominant company form in Germany are mainly characterized by the overlapping of the two spheres family and business, both having different goal systems and preferences. This also has an impact on decision making with regard to corporate finance including the application of tax avoidance policies. In Germany, bank finance is the dominant financing source for family firms but there is a preference for internal finance since it comes along with more external independency. Extant research usually bases its results on samples of publicly listed companies. These studies come up with different results regarding family firms' actual financing preferences and capture their heterogeneity only to a very little extent. In this light, the present dissertation and its three papers examine different research questions in the context of capital structure decisions and tax avoidance in family firms. All the three papers apply a quantitative empirical research design. The first paper is a comparison between capital structures of family firms and non-family firms. The paper examines differences in bank debt and trade credit ratios. Overall, the findings show that family firms have significantly higher overall and long-term debt levels compared to their non-family counterparts. The identity as a family firm, which leads to a leap of faith by banks, can be a possible explanation for these results. The second paper is an in-depth examination of drivers of bank debt levels within the group of family firms. Further, it addresses heterogeneity amongst family firms and combines survey results and corresponding financial information. This represents a first attempt to capture family firm heterogeneity and its link to financial issues. The study shows that the more power in the company is exerted via management or supervisory board by the family, the less bank debt is used. Paper three is an extension of the previous two studies as it sheds light on tax avoidance, a significant instrument to strengthen the internal financing capability of a firm. This also takes up a research gap as there is very little research on taxation in family firms. Contrary to the expectation, the study reveals that private family firms might pay less tax than their non-family peers.
In this dissertation the relation between time headway in car following and the subjective experience of a driver was researched. Three experiments were conducted in a driving simulator. Time headways in a range of 0.5 to 4.0 seconds were investigated at 50km/h, 100km/h, and 150km/h under varied visibility conditions and at differing levels of driver control over the car. The main research questions addressed the possible existence of a threshold effect for the subjective experience of time headways and the influence of vehicle speed, forward visibility, and vehicle control on the position of time headway thresholds. Furthermore, the validity of zero-risk driver behavior models was investigated. Results suggest that a threshold exists for the subjective experience of time headways in car following. This implies that the subjective experience of time headways stays constant for a range of time headways above a critical threshold. The subjective experience of a driver is only influenced by time headway once this critical time headway threshold is passed. Speed does not influence preferred time headway distances in self- and assisted-driving, i.e. time headway thresholds are constant for different speeds. However, in completely automated driving preferred time headways are influenced by vehicle speed. For higher speeds preferred time headways decrease. A reduction of forward visibility leads to a shift in preferred time headways towards larger time headways. Results of this dissertation give credence to zero-risk models of driver behavior.
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.
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.
Extracting meaningful representations of data is a fundamental problem in machine learning. Those representations can be viewed from two different perspectives. First, there is the representation of data in terms of the number of data points. Representative subsets that compactly summarize the data without superfluous redundancies help to reduce the data size. Those subsets allow for scaling existing learning algorithms up without approximating their solution. Second, there is the representation of every individual data point in terms of its dimensions. Often, not all dimensions carry meaningful information for the learning task, or the information is implicitly embedded in a low-dimensional subspace. A change of representation can also simplify important learning tasks such as density estimation and data generation. This thesis deals with the aforementioned views on data representation and contributes to them. The authors first focus on computing representative subsets for a matrix factorization technique called archetypal analysis and the setting of optimal experimental design. For these problems, they motivate and investigate the usability of the data boundary as a representative subset. The authors also present novel methods to efficiently compute the data boundary, even in kernel-induced feature spaces. Based on the coreset principle, they derive another representative subset for archetypal analysis, which provides additional theoretical guarantees on the approximation error. Empirical results confirm that all compact representations of data derived in this thesis perform significantly better than uniform subsets of data. In the second part of the thesis, the research group is concerned with efficient data representations for density estimation. The researchers analyze spatio-temporal problems, which arise, for example, in sports analytics, and demonstrate how to learn (contextual) probabilistic movement models of objects using trajectory data. Furthermore, they highlight issues of interpolating data in normalizing flows, a technique that changes the representation of data to follow a specific distribution. The authors show how to solve this issue and obtain more natural transitions on the example of image data.
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.
Das Recht der Freileitung im Spannungsfeld planerischer, technischer und ökologischer Anforderungen
(2019)
Die Energiepolitik in Deutschland hat in den letzten Jahren umfassende Veränderungen erfahren. In den Fokus rücken dabei immer mehr die erneuerbaren Energien. Deren Anteil an der gesamten Energieerzeugung wird in Zukunft weiter ansteigen. Hintergrund ist die Umsetzung der klimapolitischen Ziele der Bundesregierung: Im Energiekonzept für eine umweltschonende, zuverlässige und bezahlbare Energieversorgung von 2010 wird eine Reduktion der Treibhausgasemissionen um 40% bis zum Jahr 2020 und bis zum Jahr 2050 sogar um 80% gegenüber dem Stand von 1990 angestrebt. Neben dem Energiekonzept der Bundesregierung stellen das Reaktorunglück von Fukushima und die damit verbundene Energiewende 2011 eine wesentliche Zäsur für die Energiepolitik in Deutschland dar. Die Folge war ein beschleunigter Ausstieg aus der Kernenergie sowie die sofortige Abschaltung von acht Kernkraftwerken. Neben der Laufzeitverkürzung und Stilllegung von Atomkraftwerken wurde auch das aus mehreren neuen Gesetzen und Gesetzesänderungen bestehende Energiepaket verabschiedet. Dort wurde mit der Einführung der §§ 12a ff. Energiewirtschaftsgesetz erstmalig eine bundesweite Bedarfsplanung für den Bau von Höchstspannungsleitungen festgelegt. Zudem erfolgte mit der Einführung des Netzausbaubeschleunigungsgesetzes Übertragungsnetz (NABEG) erstmalig ein bundesweit gültiges Gesetz für die Planung von Vorhaben auf der Ebene der Höchstspannungsnetze. Die vorliegende Arbeit untersucht vor diesem Hintergrund die Frage, ob durch die neu geschaffenen Regelungen des NABEG für Höchstspannungsleitungen eine Beschleunigung innerhalb des Planungsverfahrens erreicht werden kann und ob die mit dem NABEG verfolgten Ziele umgesetzt worden sind. Dabei wird aufgezeigt, wie sich die Zielsetzungen des NABEG zu den denjenigen Zielen der im Rahmen der Abwägung der öffentlichen und privaten Belange zu beachtenden, sonstigen fachspezifischen Gesetzen verhalten. Der Beschleunigungsgedanke darf nicht dazu führen, dass umwelt-, immissionsrechtliche und sonstige fachgesetzliche Aspekte an Gewicht verlieren. Dabei werden auch mögliche Probleme der jetzigen Gesetzeslage beim Freileitungsausbau sowie weitere gesetzliche Möglichkeiten, die Beschleunigung des Netzausbaus zu erreichen, aufgezeigt.
Detecting and Assessing Road Damages for Autonomous Driving Utilizing Conventional Vehicle Sensors
(2021)
Environmental perception is one of the biggest challenges in autonomous driving to move inside complex traffic situations properly. Perceiving the road's condition is necessary to calculate the drivable space; in manual driving, this is realized by the human visual cortex. Enabling the vehicle to detect road conditions is a critical and complex task from many perspectives. The complexity lies on the one hand in the development of tools for detecting damage, ideally using sensors already installed in the vehicle, and on the other hand, in integrating detected damages into the autonomous driving task and thus into the subsystems of autonomous driving. High-Definition Feature Maps, for instance, should be prepared for mapping road damages, which includes online and in-vehicle implementation. Furthermore, the motion planning system should react based on the detected damages to increase driving comfort and safety actively. Road damage detection is essential, especially in areas with poor infrastructure, and should be integrated as early as possible to enable even less developed countries to reap the benefits of autonomous driving systems. Besides the application in autonomous driving, an up-to-date solution on assessing road conditions is likewise desirable for the infrastructure planning of municipalities and federal states to make optimal use of the limited resources available for maintaining infrastructure quality. Addressing the challenges mentioned above, the research approach of this work is pragmatic and problem-solving. In designing technical solutions for road damage detection, the researchers conduct applied research methods in engineering, including modeling, prototyping, and field studies. They utilize design science research to integrate road damages in an end-to-end concept for autonomous driving while drawing on previous knowledge, the application domain requirements, and expert workshops. This thesis provides various contributions to theory and practice. The investigators design two individual solutions to assess road conditions with existing vehicle sensor technology. The first solution is based on calculating the quarter-vehicle model utilizing the vehicle level sensor and an acceleration sensor. The novel model-based calculation measures the road elevation under the tires, enabling common vehicles to assess road conditions with standard hardware. The second solution utilizes images from front-facing vehicle cameras to detect road damages with deep neural networks. Despite other research in this area, the algorithms are designed to be applicable on edge devices in autonomous vehicles with limited computational resources while still delivering cutting-edge performance. In addition, the analyses of deep learning tools and the introduction of new data into training provide valuable opportunities for researchers in other application areas to develop deep learning algorithms to optimize detection performance and runtime. Besides detecting road damages, the authors provide novel algorithms for classifying the severity of road damages to deliver additional information for improved motion planning. Alongside the technical solutions, they address the lack of an end-to-end solution for road damages in autonomous driving by providing a concept that starts from data generation and ends with servicing the vehicle motion planning. This includes solutions for detecting road damages, assessing their severity, aggregating the data in the vehicle and a cloud platform, and making the data available via that platform to other vehicles. Fundamental limitations in this dissertation are due to boundaries in modeling. The pragmatic approach simplifies reality, which always distorts the degree of truth in the result.
The dissertation contains four journal articles which are embedded within a framework manuscript that interconnects the individual articles and provides relevant background information. The dissertation's overall objective is to provide a multilayered and critical in-depth engagement with the timely phenomenon of integrated reporting (IR), a new reporting concept that is envisaged to revolutionize firms' present reporting infrastructure. While extant corporate reports (e.g., annual financial- and CSR report) often are criticized for being disconnected and to suffer from a lack of coherence, IR intends to provide all information that is material to a firm's short-, medium- und long-term value creation within one single, succinct document. To contribute to a set of previously defined relevant research gaps in literature, the dissertation makes use of a combined empirical-quantitative and explorative-qualitative research design. The first article entitled investigates a set of different IR-, corporate governance and financial accounting-specific factors that are expected to determine European and South African firms' materiality disclosure quality. To this purpose, an original, hand-collected materiality disclosure score was developed. The second article explores IR perceptions of SME managers that have not embarked on IR, but are potential candidates to do so in future. Based on a review of extant literature, the article develops a theoretical framework to subsequently discuss motives for and barriers to IR adoption. The critical discussion contributes to the academic debate on incentives for and barriers to voluntary IR adoption. The third article investigates whether voluntary IR adoption among European firms is associated with lower cost of public debt. While earlier studies suggest that IR leads to lower information asymmetries, increases analyst forecasts, and decreases cost of equity, corresponding evidence for the debt market is largely missing. Subsequent analyses test as to whether such an association is even more pronounced by a firm's environmental, social and governance (ESG) performance or its belonging to an environmentally sensitive industry. The fourth article uses an experimental design to investigate nonprofessional investors' reactions to an IR assurance. To this purpose, two separate experiments with two different groups of nonprofessional investors were carried out: one with Masters students and one with managers of large corporations. Results help to answer the question as to whether an IR assurance as well as its determinants, namely the assurance provider and the assurance level, affect nonprofessional investors' financial decision-making. In the second step, subsequent in-depth interviews reveal an IR assurance-critical attitude among managers, who draw upon their practical experience with assurance engagements.
Viele Betriebsgastronomien in Deutschland sehen sich vor die Herausforderung steigender Gästeansprüche, zunehmenden Kostendrucks und oftmals auch konkurrierender Speisenanbieter gestellt. Hinzu kommt in vielen Betrieben die Forderung der Gäste oder des Managements nach einem Angebot gesundheitsfördernder Speisen und Getränke. Dieses kann z. B. durch die Deutsche Gesellschaft für Ernährung e. V. (DGE) zertifiziert werden. Die innerbetriebliche Umsetzung und Kommunikation des erweiterten, gesundheitsfördernden Speisenangebotes muss indes gesteuert werden. Hierfür bietet sich die Erstellung einer Balanced Scorecard nach Kaplan und Norton an. Diese berücksichtigt neben finanzorientierten Kennzahlen auch ausdrücklich qualitative Ziele und stellt deren wechselseitige Einflüsse in Ursache-Wirkungs-Ketten dar. Die vorliegende Bachelorarbeit spezifiziert eine Balanced Scorecard auf die Anforderungen einer Betriebsgastronomie, die ein DGE-zertifiziertes Speisenangebot etablieren möchte. Zu diesem Zweck werden für die vier Perspektiven einer Balanced Scorecard strategische Ziele vorgeschlagen und deren Ursache-Wirkungs-Beziehungen grafisch in einer Strategy Map dargestellt. Die ebenfalls durchgeführte empirische Untersuchung DGE-zertifizierter Betriebe zeigt, dass durch die Einführung eines gesundheitsfördernden Speisenangebotes die Mitarbeiterzufriedenheit und Mitarbeitergesundheit positiv beeinflusst werden kann. Zudem ist eine Steigerung des Umsatzes durch die Gewinnung neuer Gäste und den Zusatzverkauf komplementärer Produkte möglich.
Der Begriff Blockchain tritt zum ersten Mal in Verbindung mit der Kryptowährung Bitcoin im 21. Jahrhundert auf. Das anfänglich beschriebene Protokoll von Bitcoin hat sich mittlerweile zu einem Phänomen entwickelt, dass unter dem Begriff Kryptoökonomie zusammengefasst wird. Mittlerweile ist Bitcoin nicht mehr die einzige Kryptowährung: Innerhalb der letzten sieben Jahre hat sich ein großes, vielseitiges Universum von Kryptowährungs- und Kryptotransaktionssystemen entwickelt. Diese Arbeit vergleicht zwei dieser Kryptowährungssysteme: das erwähnte dezentrale Zahlungssystem Bitcoin sowie Ethereum, eine Entwicklungsplattform für dezentrale Applikationen. Zuerst wird ein allgemeiner und historischer Überblick gegeben. Die beiden Systeme Bitcoin und Ethereum, die Blockchain und Geld und Währungsdefinition werden betrachtet. Anschließend werden für ein besseres Verständnis der Blockchain relevante Aspekte der Kryptografie vorgestellt. Besonderer Fokus liegt dabei auf asymmetrischen Algorithmen und Hash-Funktionen. Daraufhin werden die Bitcoin Blockchain und die Ethereum Blockchain gesondert und detaillierter beleuchtet. In der Folge werden Bitcoin und Ethereum im Allgemeinen und die Blockchains jener im Speziellen miteinander verglichen. Die Vergleichspunkte orientieren sich sowohl an ökonomischen als auch an technischen Gesichtspunkten. Abschließend wird das Ergebnis des Vergleichs präsentiert und ein Fazit gezogen.
Diese Studie untersucht die Wirkung einer verpflichtenden externen Begutachtung von Gründungsvorhaben im Rahmen der Ich-AG-Förderung der Bundesagentur für Arbeit. Unter Verwendung von prozessproduzierten Daten zu den Gründern und ihren Vorhaben wird geprüft, inwieweit sich Unterschiede zwischen Gründern im Arbeitsagenturbezirk Lüneburg, die unter diese Regelung fallen und solchen, die dies nicht tun, ergeben. Die Ergebnisse der Studie deuten darauf hin, dass keine Unterschiede in beobachtbaren Merkmalen zwischen diesen Gründern bestehen, was ein Hinweis auf die Wirkungslosigkeit der externen Begutachtung sein kann.
Die Digitalisierung ermöglicht es, die Anwendung von Scoring Systemen auf verschiedene Lebensbereiche auszuweiten und Verhalten von Kunden und Konsumenten vorherzusagen und zu steuern. Gezielt eingesetzte Incentives, die an einen bestimmten Score geknüpft sind, werden häufig genutzt, um das gewünschte Verhalten zu erreichen. Um die Erkenntnisse zur Wahrnehmung von Scoring Systemen zu erweitern, wurde in dieser Studie die Einstellung zu Scoring Systemen erfasst und untersucht, inwieweit potenzielle individuelle und funktionelle Einflussfaktoren auf die Einstellung wirken. Dafür wurde eine Online Umfrage mit 125 Teilnehmenden aus Deutschland umgesetzt. Zu Erfassung der Einstellung wurde je ein Scoring Szenario inklusive Incentives für die Bereiche Gesundheit, Mobilität und Finanzen konstruiert, das die Teilnehmenden bewerten sollten. Die Incentives wurden als funktionelle Faktoren zusammengefasst, und es wurde vermutet, dass sie die Einstellung zu Scoring beeinflussen. Als individuelle Faktoren wurden einmal die Selbsteinschätzung Scoring-relevanten Verhaltens festgelegt und einmal die Persönlichkeitsvariable Narzissmus. Es wurde davon ausgegangen, dass beide Variablen einen Einfluss auf die Einstellung haben und einen positiven Zusammenhang aufweisen. Bei der Überprüfung der Hypothesen zeigte sich, dass sowohl die Incentives als auch die Selbsteinschätzung einen signifikanten Einfluss auf die Einstellung zu Scoring haben. Für den Einfluss von Narzissmus konnten keine signifikanten Ergebnisse gefunden werden. Für die Faktoren Alter, Geschlecht und Erfahrung mit Scoring wurde ebenfalls ein Einfluss vermutet, weshalb eine zusätzliche explorative Analyse für diese Faktoren durchgeführt wurde, bei der allerdings keine signifikanten Ergebnisse zustande kamen. Des Weiteren zeigte sich, dass Scoring auch über verschiedene Szenarien hinweg insgesamt als eher negativ bewertet wird. Die eingesetzten Incentives wurden ebenfalls als negativ bewertet.
Die Qualität der Risikoberichterstattung der DAX 30 - Empirische Analyse der Einhaltung des DRS 20
(2016)
In addition to a short introduction, this thesis contains five chapters that discuss various topics in the context of labor economics in general and the manufacturing sector in Egypt in particular. Chapter one presents the institutional framework of the Egyptian labor market and the different datasets that could be used by researchers and summarizes some previous empirical studies. Then, different microeconometric methods are applied in the subsequent four chapters, using the World Bank firm-level data for the manufacturing sector in Egypt to get an empirical evidence for the following issues: determinants of using fixed-term contracts in the Egyptian labor market in the manufacturing sector in chapter two, determinants of female employment in Egyptian manufacturing firms in chapter three, ownership structure and productivity in the Egyptian manufacturing firms in chapter four and, finally, exporting behavior of the Egyptian manufacturing firms is analyzed with a special focus on the impact of workforce skills-intensity in chapter five.
In my dissertation I explore conceptual and economic aspects of resilience, i.e. a system’s ability to maintain its basic functions and controls under disturbances. I provide methodological considerations on the conceptual level and general insights derived from stylized ecological-economic models. In doing so, I demonstrate how to frame resilience so as to economically evaluate and investigate it as an important property of ecological-economic systems. Is conceptual vagueness an asset or a liability? In chapter 1 I address this question by weighing arguments from philosophy of science and applying them to the concept of resilience. I first sketch the wide spectrum of resilience concepts that ranges from concise concepts to the vague perspective of “resilience thinking”. Subsequently, I set out the methodological arguments in favor and against conceptual vagueness. While traditional philosophy of science emphasizes precision and conceptual clarity as precondition for empirical science, alternative views highlight vagueness as fuel for creative and pragmatic problem-solving. Reviewing this discussion, I argue that a trade-off between vagueness and precision exists, which is to be solved differently depending on the research context. In some contexts research benefits from conceptual vagueness while in others it depends on precision. Assessing the specific example of “resilience thinking” in detail, I propose a restructuring of the conceptual framework which explicitly distinguishes descriptive and normative knowledge. Chapter 2 investigates the common assumption that the optimization problem within a simple selfprotection problem (spp) is convex. It is shown that the condition given in the literature to legitimate this assumption may have implausible consequences. Via a simple functional specification we analyze the (non-)convexity of the spp more thoroughly and find that for reasonable parameter values strict convexity may not be justified. In particular, we demonstrate numerically that full self-protection is often optimal. Neglecting these boundary solutions and analyzing only the comparative statics of interior maxima may entail misleading policy implications such as underinvestment in self-protection. Thus, we highlight the relevance of full self-protection as a policy option even for non-extreme losses. Chapter 3 starts from the observation that ecosystem resilience is often interpreted as insurance: by decreasing the probability of future drops in the provision of ecosystem services, resilience insures risk-averse ecosystem users against potential welfare losses. Using a general and stringent definition of “insurance” and a simple ecological-economic model, we derive the economic insurance value of ecosystem resilience and study how it depends on ecosystem properties, economic context, and the ecosystem user’s risk preferences. We show that (i) the insurance value of resilience is negative (positive) for low (high) levels of resilience, (ii) it increases with the level of resilience, and (iii) it is one additive component of the total economic value of resilience. Chapter 4 performs a model analysis to study the origins of limited resilience in coupled ecologicaleconomic systems. We demonstrate that under open access to ecosystems for profit-maximizing harvesting forms, the resilience properties of the system are essentially determined by consumer preferences for ecosystem services. In particular, we show that complementarity and relative importance of ecosystem services in consumption may significantly decrease the resilience of (almost) any given state of the system. We conclude that the role of consumer preferences and management institutions is not just to facilitate adaptation to, or transformation of, some natural dynamics of ecosystems. Rather, consumer preferences and management institutions are themselves important determinants of the fundamental dynamic characteristics of coupled ecological-economic systems, such as limited resilience. Chapter 5 describes how real option techniques and resilience thinking can be integrated to better understand and inform decision making around environmental risks within complex systems. Resilience thinking offers a promising framework for framing environmental risks posed through the non-linear responses of complex systems to natural and human-induced disturbance pressures. Real options techniques offer the potential to directly model such systems including consideration of the prospect that the passage of time opens new options while closing others. Examples are provided which illustrate the potential for integrated resilience and real options approaches to contribute to understanding and managing environmental risk.
Vor dem Hintergrund der 2004 durchgeführten Reform auf dem Handwerksmarkt sollte anhand einer theoretisch-empirischen Analyse überprüft werden, ob Informationsasymmetrien bezüglich der Qualität auf dem Handwerksmarkt in unterschiedlicher Stärke auftreten und dementsprechend auch eine differenzierte Regulierung erfordern sowie inwieweit marktendogene und wirtschaftspolitische Lösungsmöglichkeiten zum Abbau von Informationsasymmetrien auf dem deutschen Handwerksmarkt wirken. Als empirische Datengrundlage wurde dazu eine Haushaltsumfrage durchgeführt, die neben der Ermittlung des Informationsnachfrageverhaltens auch die Beurteilung handwerklicher Qualität durch private Bauherren zum Ziel hatte. Die Befragung zeigt, dass trotz des Meisterbriefes Informationsasymmetrien auf den einzelnen Märkten bestehen, so dass eine über alle Gewerke geltende und den Wettbewerb stark einschränkende Regulierung in Frage gestellt werden muss. Die aus den Ergebnissen der Befragung deutlich gewordene Anwendung marktendogener Reputationsmechanismen zur Lösung von Informationsasymmetrien macht gleichzeitig den Schutz der Konsumenten als Regulierungsbegründung fraglich. Dies wird verstärkt durch die in der Befragung deutlich gewordene hohe Nutzung spezialisierter Dritter, die aufgrund ihrer Fachkenntnis keinen expliziten Verbraucherschutz benötigen sollten. Die Handwerksnovelle 2004 stellt somit insbesondere durch die Auflockerung der Marktzutrittsbeschränkungen aus informationsökonomischer Sicht einen Schritt in die richtige Richtung dar.
Diese theoriegeleitete empirische Masterarbeit beleuchtet die Forschungslücke der emotionalen Führungskompetenzen als Erfolgsfaktor weiblicher Führungskräfte. Dabei wird von einer Veränderung des Führungsverständnisses in Richtung eines verstärkten Fokus der Mitarbeiterorientierung ausgegangen. Ziel der Arbeit ist die Formulierung von Implikationen für den praktischen Einsatz emotionaler Intelligenz und der darunter subsumierten Kompetenzen bei weiblichen Führungskräften. Datengrundlage bilden 14 leitfadengestützte Experteninterviews mit weiblichen und männlichen Führungskräften, Beratern und Coaches. Die Auswertung des Datenmaterials erfolgt anhand der qualitativen Inhaltsanalyse nach Mayring (2010), indem die Ergebnisse durch eine Einteilung in Geschlecht, Alter und Position analysiert werden. Die Untersuchung ergibt, dass sich weibliche Führungskräfte in einem Spannungsfeld aktueller Herausforderungen befinden. Sie werden mit der Erwartungshaltung an ein vielfältiges Anforderungsprofil der modernen Führungskraft, dem Aufbruch der traditionellen Führungsphilosophie mit wachsendem Fokus der Mitarbeiterperspektive sowie der Verkörperung des weiblichen Führungsstils konfrontiert. Immer häufiger sehen sie sich dabei einem widersprüchlichen Selbstbild ausgesetzt. Damit emotionale Intelligenz als erfolgreiche Kompetenz weiblicher Führungskräfte genutzt werden kann, gilt es, bestehende Stereotype aufzubrechen und die Anwendung individueller Führungsstile zu ermöglichen.
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.
Entrepreneurship is an important means for economic development and poverty alleviation . Due to the relevance of entrepreneurship, scholars call for research that contributes to the understanding of successful business creation. In order to best understand new venture creation, research needs to investigate barriers of entrepreneurship. A barrier that has received wide attention in the literature on new venture creation is capital requirements. Scholars argue that capital requirements are an entry barrier for new venture creation, as most people who start businesses have difficulties in acquiring the necessary amount of capital needed for starting the businesses. Particularly in developing countries, scholars and practitioners regard improvements in access to capital as a major solution to support new venture creation. However, besides improving access to capital, there are alternative solutions that help to deal with the problems of capital requirements and capital constraints in the process of new venture creation. In this dissertation, I argue that a possible means to master capital requirements and capital constraints in business creation is action-oriented entrepreneurship training. I draw on actionregulation theory (Frese & Zapf, 1994), theories supporting an interactionist approach (Endler & Edwards, 1986; Terborg, 1981) and on theories about career development (Arthur, 1994; Briscoe & Hall, 2006) to reason that action-oriented entrepreneurship training allows for handling capital requirements and capital constraints with regard to business creation. Specifically, I argue that action-oriented entrepreneurship training helps to deal with financial requirements and capital constraints in two ways: First, the training reduces the negative effect of capital constraints on business creation through the development of financial mental models. Second, the training supports finding employment and receiving employment income, which enable businesses creation.
Entwicklungen und Potenziale der Kultur- und Kreativwirtschaft im ländlichen Raum - Der Kreis Höxter
(2014)
In der vorliegenden Thesis wird ein interdisziplinäres, exploratives und handlungsorientiertes Problemgerüst durchleuchtet. Als übergeordneter Forschungsgegenstand wird zum einen der Stadt-Land-Unterschied im Rahmen kultur- und kreativwirtschaftlicher Strukturentwicklung betrachtet. Zum anderen werden konkrete Handlungsoptionen zur Förderung der Wirtschaftsbranche für regionalpolitisch Verantwortliche in ländlichen Räumen entworfen und aufgezeigt. Folgende Leitfragen werden herangezogen: Welche standortfaktoriellen Vorteile bezüglich der wirtschaftlichen, sozialen und kulturellen Rahmenbedingungen bieten ländliche Räume für die Kultur- und Kreativwirtschaft (im Gegensatz zu städtischen Räumen)? Welche Handlungsspielräume haben regional- und wirtschaftspolitisch Verantwortliche im Hinblick auf die kulturelle Entwicklung von ländlichen Räumen? Wie lässt sich konkret eine im Sinne der Standortattraktivität agierende Wirtschaftsförderung mit einer Stärkung der Kulturlandschaft vereinbaren?
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).
In Zeiten, in denen die Gastronomie mit starken Umsatzeinbußen zu kämpfen hat, wie es in den vergangenen Jahren der Fall war, ist es für die Unternehmen von großer Bedeutung, ihre Konzepte so zu gestalten, daß sie den Erwartungen der Verbraucher soweit wie möglich entsprechen. Hierfür ist umfangreiche Kenntnis über die Gäste bzw. potentiellen Gäste erforderlich, um sich gegenüber den Mitbewerbern erfolgreich auf dem gastronomischen Markt zu positionieren bzw. zu profilieren.
Die Arbeit beschäftigt sich mit dem Thema der Erlebnisqualitätsmessung. Hierfür werden sowohl der Erlebnisbegriff als auch der Customer Experience Management Ansatz herangezogen als auch Modelle zur Qualitätsmessung analysiert. Das Customer Experience Management kann als Weiterentwicklung des klassischen Qualitätsmanagements verstanden werden und integriert insbesondere die Ansätze des Markenmanagements. Schließlich liefert der empirische Teil der Arbeit wesentliche Erkenntnisse darüber, wie Erlebnisqualität gemessen werden kann und wodurch sie beeinflusst wird. Dies erfolgt am Beispiel einer durch einen Reiseveranstalter organisierten Badepauschalreise, sodass die Ergebnisse unmittelbar in Implikationen für die künftige Gestaltung einer Urlaubsreise münden.
Many dynamics are reshaping the global macroeconomics and finance. This cumulative dissertation empirically examines the impacts of two major global dynamics, the disaster risks and the China's rise, on the global economy. Chapter 1 introduces the motivation and summarizes the dissertation. Chapter 2 investigates how geopolitical risks affect financial stress in the whole financial system and its sub-sectors (banking, stock, foreign exchange, bond) of major emerging economies. Chapter 3 shows how different disaster risks (financial, geopolitical, natural-technological) can explain the returns and risk premiums of stock and housing in advanced economies between 1870 and 2015. Chapter 4 examines how the rise of China is contributing to higher economic growth in emerging economies, especially after the Global financial crisis of 2007-2008. Chapter 5 illustrates how a close trade and investment relation with China has helped African countries to reduce poverty and to improve their income distribution.
This cumulative dissertation embraces four empirical papers addressing socio-economic issues relevant to policy-makers and society as a whole. These papers cover important aspects of human life including health at birth, life satisfaction, unemployment periods and retirement decisions. The analyses are carried out applying advanced econometric methods and are based on data sets consisting of survey data as well as administrative records. The first joint paper investigates the causal impact of prenatal exposure to air pollution on neonatal health in Italy in the 2000s combining detailed information on mother's residential location from birth certificates with PM10 concentrations from air pollution monitors. Variation in local weekly rainfall is exploited as an instrumental variable for non-random air pollution exposure. Using quasi-experimental variation in rainfall shocks allows to identify the effect of PM10, ruling out potential bias due to confounder pollutants. The paper estimates the effect of exposure for both the entire pregnancy period and separately for each trimester to test whether the neonatal health effects are driven by pollution exposure during a particular gestation period. This information enhances our understanding of the mechanisms at work and help prevent pregnant mothers from most dangerous exposure periods. Additionally, the effects of prenatal exposure to PM10 are estimated by maternal labor market status and maternal education level to understand how the pollution burden is shared across different population groups. This decomposition allows to identify possible mechanisms through which environmental inequality reinforces the negative impact of early-life exposure to air pollution. This study finds that average PM10 and days with PM10 level above the hazard limit reduce birth weight, gestational age, and measures of overall newborn health. Effects are largest for third trimester exposure and for low-income and less educated mothers. The second joint paper updates previous findings on the total East-West gap in overall life satisfaction and its trend by using data from the German Socio-Economic Panel for the years 1992 to 2013. Additionally, the effects are separately analyzed for men and women as well as for four birth cohorts. The results indicate that reported life satisfaction is, on average, significantly lower in East than in West German federal states and that part of the raw East-West gap is due to differences in household income and unemployment status. The conditional East-West gap decreased in the first years after the German reunification and remained quite stable and sizable since the mid-nineties. The results further indicate that gender differences are small. Finally, the East-West gap is significantly smaller and shows a trend towards convergence for younger birth cohorts. The third joint paper explores the effects of a major reform of unemployment benefits in Germany on the labor market outcomes of individuals with some health impairment. The reform induced a substantial reduction in the potential duration of regular unemployment benefits for older workers. This work analyzes the reform in a wider framework of institutional interactions, which allows to distinguish between its intended and unintended effects. The results based on routine data collected by the German Statutory Pension Insurance and a Difference-in-Differences design provide causal evidence for a significant decrease in the number of days in unemployment benefits and increase in the number of days in employment. However, they also suggest a significant increase in the number of days in unemployment assistance, granted upon exhaustion of unemployment benefits. Transitions to unemployment assistance represent an unintended effect, limiting the success of a policy change that aims to increase labor supply via reductions in the generosity of the unemployment insurance system. The fourth, single-authored paper explores how an increase in the early retirement age affects labor force participation of older workers. The analysis is based on a social security reform in Germany, which raised the early retirement age over several birth cohorts to boost employment of older people and ultimately alleviate the burden on the public pension system. Detailed administrative data from the Federal Employment Agency allow to distinguish between employment and unemployment as well as disability pensions and retirement benefits claims. Using a Regression Kink design in a quasi-experimental framework, the author shows that the raised early retirement age had positive employment effects and negative effects on retirement benefits claims. The results also show that some population groups are more sensitive to a reduction in retirement options and more likely to seek benefits from other government programs. In this respect, the author finds that workers in manufacturing sector respond to the raised early retirement age by claiming benefits from the disability insurance program designed to compensate for reduced earnings capacity due to severe health problems. The treatment heterogeneity analysis further suggests that high-wage workers are more likely to delay exits from employment, which is in line with incentives but might also indicate an increased inequality within the affected birth cohorts induced by the reform. Finally, women seem to rely on alternative sources of income such as retirement benefits for women, or spouse's or partner's income not observed in the data. All things considered, workers did not adjust to the increased early retirement age by substituting early retirement with other government programs but rather responded to the reform in line with the policy intent. At the same time, the findings point to heterogeneous behavioral responses across different population groups. This implies that raising the early retirement age is an effective policy tool to increase employment only among older people who have the real choice to delay employment exits. Therefore, reforms that raise statutory ages should ensure social support for workers only marginally attached to the labor market or not able to work longer due to potential health problems or other circumstances.
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.
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.
In 2013, the European Commission adopted the so called "Entrepreneurship 2020 Action Plan" to ease the creation of new ventures and to support the takeover of existing firms. The goal is to create a supportive environment for entrepreneurs to thrive and grow (European Commission 2013). This shows that the European Union puts its efforts to support small firms as they are seen as means for Europe's sustainable economic growth. However, the successful processes of growth and investment are complex and depend on different determinants. The present thesis focuses on the firm level and analyzes in three independent articles: how small firms invest over time, how new ventures grow and which variables influence growth, how small firms grow after business takeover and which variables influence growth. The framework that connects these articles forms the content-related focus on the early stage of development of small firms and the methodological and analytical approaches that comply with up-to-date and adequate statistical analysis techniques. Supported by an extensive dataset, which is the foundation of all three articles, it is possible to investigate empirically different open research questions using bivariate and multivariate analysis techniques. Thus, this thesis also serves the research needs for more multivariate analyses for small firms, for which so far mainly cross-sectional studies have been conducted.
On 25 October 2016, the European Commission presented a proposal for a directive on a Common Corporate Tax Base (CCTB Proposal), which contains a comprehensive concept for the harmonisation of profit calculation regulations within the EU. Against this current background, the objective of the present work is to contribute to the implementation of the CCTB by identifying ambiguities and conceptual weaknesses in the design of the profit determination system of the CCTB Proposal and developing concrete recommendations for action for adjustments in the course of the further legislative procedure. In the first article, selected profit calculation rules of the CCTB Proposal will be analysed in detail and compared with the provisions on profit calculation under German commercial and tax law and the International Financial Reporting Standards (IFRS) recognised across member states. Based on the legal comparison, questions of interpretation and inadequacies of the profit calculation system will be considered and proposals for adjustments to various regulatory areas will be submitted. Furthermore, in the second article, within the framework of a holistic study, expert interviews will be used as an empirical-qualitative research design to generate reliable assessments on the part of the various stakeholder groups affected by the implementation of the future directive or involved in its elaboration. The results show the extent to which the profit determination rules of the CCTB Proposal in their current form are suitable for national and EU-wide implementation and in which areas the various expert groups still see concrete need for adaptation. Based on these expert assessments, the third article finally develops a proposal to reduce the threat of legal uncertainty in interpretation issues criticised by the experts. Based on economic maxims developed by the European Commission and existing accounting principles of the current CCTB Proposal, the EU Accounting Directive and IFRS, a system of specific European tax principles will be developed which could be implemented within the framework of the CCTB Proposal.
In the early 1990s the European Commission and the national governments of the EU member states initiated an extensive deregulation and liberalization process in the European railway industry. Prior to this process, the European railway industry was characterized by loosely connected national monopoly railway companies which faced severe losses of transportation market share and required increasing subsidies. Overall, this system was not what a single European market needed: an integrated transport system that provides reliable and fast cross-border transportation of goods, services, and people. The main elements of the reforms have been the separation of infrastructure management from transport operations, the implementation of interoperability among the national railway systems, the assurance of third-party access to the infrastructure, and the introduction of independent railway regulatory systems. In general, the intention of the reforms has been to enhance competition by opening the market and to improve the economic performance of the European railway industry. The objective of this thesis is to analyze the effectiveness of the European railway deregulation process in enhancing efficiency and productivity in the European railway industry. For that purpose three empirical papers are introduced that use non-parametric and parametric benchmarking methods to evaluate the impact of different production technologies and country- and firm-specific environmental and regulatory conditions on efficiency and productivity. The first paper, ‘Testing for Economies of Scope in European Railways: An Efficiency Analysis’, conducts a pan-European efficiency analysis to investigate the performance of European railways with a particular focus on economies of vertical integration. We test the hypothesis that integrated railways realize economies of scope and, thus, produce railway services with a higher level of efficiency. To determine whether joint or separate production is more efficient, we apply an innovative two-stage data envelopment analysis super-efficiency model which relates the efficiency for integrated production to a reference set consisting of separated firms which use a different production technology. We find that for a majority of European railways economies of scope exist. The second paper, ‘Productivity Growth in European Railways: Technological Progress, Efficiency Change and Scale Effects’, analyzes the efficiency and productivity of the European railway sector in the period of deregulation (1990-2005). Using a stochastic frontier panel data model that controls for unobserved heterogeneity a distance function model is estimated in order to evaluate the sources of productivity growth: technological progress, technical efficiency change and scale effects. The results indicate that technology improvements were by far the most important driver of productivity growth, followed by gains in technical efficiency, and to a lesser extent by exploitation of scale economies. Overall, we find an average productivity growth of 39 percent within the sample period. The third paper, ‘European Railway Deregulation: The Influence of Regulatory and Environmental Conditions on Efficiency’, investigates the impact of regulatory and environmental conditions on technical efficiency of European railways. Using a panel data set of 31 railway firms from 22 European countries from 1994 to 2005, a distance function model, including regulatory and environmental factors, is estimated using stochastic frontier analysis. The results obtained indicate positive and negative efficiency effects of different regulatory reforms. Furthermore, estimating models with and without regulatory and environmental factors indicates that the omission of environmental factors, such as network density, substantially changes parameter estimates and, hence, leads to biased estimation results. The last chapter of the thesis summarizes the results of the three empirical analyses. It contains overall conclusions, highlights implications for economic policy, and provides directions for further research.
Zahlreiche Untersuchungen belegen, dass die exportierenden Firmen den nur für den Inlandsmarkt produzierenden Firmen in vieler Hinsicht überlegen sind – sie sind im Durchschnitt größer, produktiver und innovativer, und sie waren dies schon, bevor sie mit dem Export begonnen haben. Eine offene Frage ist, wie und in welchem Maße die Firmen dann vom Export profitieren. Ökonometrische Auswertungen auch der Basis von Längsschnittdaten von Firmen zeigen nur selten positive Auswirkungen der Exportaktivitäten. Dies kann auch an den hierbei verwendeten Methoden liegen, denn ein Vergleich der exportierenden Firmen mit sich selbst in einer Situation ohne Export ist ja nicht möglich. Eine direkte Befragung von Exporteuren kann hier neue Erkenntnisse bringen. Eine Befragung von exportierenden Firmen aus den IHK-Bezirken Lüneburg- Wolfsburg und Stade zeigt, dass die Firmen sehr heterogen sind – nicht alle profitieren in gleicher Weise und in gleichem Maße vom Export. Große positive Effekte finden sich bei mehr als der Hälfte der Firmen bezogen auf Wachstum, Kapazitätsauslastung und Erträge sowie bei rund 40 Prozent mit Bezug auf den Ausgleich inländischer Konjunkturschwankungen. Umgekehrt sieht es bei den „Lerneffekten“ (Anregungen von Auslandskunden zur Verbesserung der Produkte; Steigerung der Produktivität als Reaktion auf höheren Wettbewerbsdruck auf Auslandsmärkten; bessere Einschätzung der eigenen Konkurrenzfähigkeit aufgrund von Kontakten mit Konkurrenten auf Auslandsmärkten und daraus folgende entsprechende Reaktionen) aus – hier überwiegen deutlich die Angaben wonach keine oder allenfalls geringe Effekte vorliegen. Was erklärt die in der Befragung festgestellten Unterschiede zwischen den Firmen in Bezug auf die Auswirkungen der Exporttätigkeit? Als zentrales Ergebnis können wir festhalten, dass bis auf den Exportanteil am Umsatz keine der anderen betrachteten Firmeneigenschaften wie Größe, Dauer der Exporterfahrung, Forschungs- und Entwicklungstätigkeit oder Auslandsniederlassungen ausschlaggebend dafür sind, ob eine Firma vom Export in verschiedener Hinsicht positiv beeinflusst wird oder nicht. Vom Export können also sehr unterschiedliche Firmen gleichermaßen profitieren, wobei tendenziell die Wahrscheinlichkeit dafür, dass ein starker positiver Effekt zu beobachten ist, mit zunehmendem Anteil des Auslandsumsatzes am Umsatz ansteigt. Simulationsrechnungen mit den geschätzten Modellen zeigen hierbei: Wenn es Effekte des Exports gibt, dann werden diese in der Regel erst ab einem Exportanteil am Umsatz von mindestens 25 Prozent deutlich.
This dissertation analyses external appointees and successions on boards and consists of three papers which are all empirical in nature. It provides insights into the present literature from a meta-perspective, enlarges the understanding of external successions to German executive bank boards and extends the rare number of studies on the internal supervisory bodies of bank institutions. The first paper highlights the existing literature: conducting a literature search process, the paper aggregates 102 empirical results from 28 journal articles and working papers published between 1990 and 2017. The meta-analysis focuses on how researchers address the build-in issue that outsiders are not randomly assigned to firms. The results reveal that the relationship of outside successions and performance varies significantly with the methodological characteristics of the original studies. The following two papers concentrate on successions in banking institutions. More specifically, the second study examines the appointments of executive directors external to the bank and the consequences of that appointment on bank performance. The study addresses in particular alternative explanations, i.e. outside selection and/or joint endogeneity, while examining external executive appointments and their consequences on bank performance. The second empirical paper lend significant support to the view that some outsiders are better predisposed to helping the bank turn around poor performance and that the selected proxies of managerial ability, which are based on the historical return on assets and risk-return efficiency measured at outsiders' former banks, are able to identify such good outsiders. Finally, the third paper considers the link between the executive and the supervisory board. The study points to the conclusion that newly appointed executives to the supervisory board differ from their non-appointed counterparts with a particular set of experiences. The study provides evidence for the view that the pre-appointment financial situation, measured by several proxies of bank risk and performance, has significant influence on the decision to appoint such an experienced member to the supervisory board. This dissertation is framed by an introduction and concluding chapter where the author reflects on the research questions of her empirical studies, summarizes the results and identifies some possibilities for future research.
Das Ziel der vorliegenden Arbeit ist es, die Zusammenhänge zwischen der erlebten Aktiviertheit und Indikatoren der Hirnstromaktivität unter der Berücksichtigung der Persönlichkeitsfaktoren Extraversion und Neurotizismus zu untersuchen. Besondere Aufmerksamkeit wird dabei auf die Erfassung der erlebten Aktiviertheit gerichtet. Als theoretische Basis bietet sich H. Eysencks Arousal-Theorie an, die eine Brücke von den Persönlichkeitsfaktoren Extraversion und Neurotizismus zur Hirnaktivität schlägt. Es wird ein Modell der übergeordneten Aktiviertheit vorgeschlagen, das die allgemeine Aktiviertheit als ein übergeordnetes Konstrukt beschreibt, welches durch die drei Faktoren erlebte Aktiviertheit, Hirnstromaktivität und Persönlichkeitseigenschaften repräsentiert wird. Die Hirnstromaktivität beschreibt die physiologische Seite, während die erlebte Aktiviertheit die psychometrische Seite der allgemeinen Aktiviertheit darstellt. Die Wirkung der Extraversion und des Neurotizismus auf die Aktiviertheit beeinflusst das Verhalten. Alle drei Faktoren hängen miteinander zusammen. In den hier berichteten Experimenten wurden die Persönlichkeitsfaktoren mit dem NEO-FFI nach Costa und McCrae (1989) und die erlebte Aktiviertheit mit der Kategorien- Unterteilungsskala (Heller, 1981) erfasst. Zur Beschreibung der Hirnstromaktivität wurden sowohl die insgesamt gemessene Hirnstromaktivität als auch die Aktivität in unterschiedlichen Frequenzbändern ausgewertet. In der ersten Studie wurden Probanden drei unterschiedlich beanspruchenden Situationen ausgesetzt. Es wurde festgestellt, dass die Hirnstromaktivität und die erlebte Aktiviertheit, wie angenommen, in einem negativen Zusammenhang miteinander stehen. Die Extraversion und der Neurotizismus zeigten keine Zusammenhänge mit den anderen Faktoren. In der zweiten Studie wurden die Probanden in vier unterschiedlich beanspruchenden Situationen untersucht. Zwischen den drei Faktoren konnten die angenommenen Zusammenhänge nicht bestätigt werden. Die Ergebnisse der beiden Studien können das vorgeschlagene Modell der übergeordneten Aktiviertheit nicht stützen. Zwar wurde in der ersten Studie ein postulierter Zusammenhang zwischen der erlebten Aktiviertheit und Hirnstromaktivität beobachtet, in der zweiten Studie konnte dieser jedoch nicht bestätigt werden. Die Persönlichkeitsdimensionen Extraversion und Neurotizismus zeigten in beiden Studien nicht die angenommenen Zusammenhänge mit den anderen Faktoren. Die über unterschiedlichen Hirnregionen abgeleitete Hirnstromaktivität aus der ersten und zweiten Studie wurde anschließend getrennt explorativ betrachtet. Das Ziel der explorativen Untersuchung war es, in den einzelnen Hirnregionen spezifische Muster zwischen den drei Faktoren zu finden, die in den über die gesamte Kopfoberfläche zusammengefassten Daten nicht ersichtlich waren. Diese Analyse sollte Hinweise für weitere, tiefergehende Experimente zur Aktiviertheit geben. Die explorative Betrachtung der Datensätze aus der ersten Studie zeigte, dass die Mehrheit der über unterschiedlichen Hirnarealen gewonnenen Daten konform mit den über die gesamte Kopfoberfläche erhobenen Ergebnissen sind. Zwei Hirnregionen (midtemporal und okzipital) fielen jedoch wiederholt auf. Die explorative Betrachtung der zweiten Studie ergab, dass sich die EEG-Aktivität über vier Hirnregionen (lateral frontal, midtemporal, posterior temporal, okzipital) von den über die gesamte Kopfoberfläche berechneten Daten unterscheiden. Da die midtemporalen und okzipitalen Hirnregionen sich bereits in der ersten explorativen Untersuchung von den Ergebnissen zu anderen Hirnregionen unterschieden, sollten sie in weiteren Untersuchungen zur allgemeinen Aktiviertheit besonders berücksichtigt werden.
To be prepared for one´s own career is a major task during career development. However, existing research has primarily focused on adolescence in the transition from school to work while research on career preparation among university students, that are challenged by successfully transiting from university to work, are lacking so far. Thus, this cumulative dissertation studies career preparation in terms of career decidedness, planning, confidence, and career engagement using large samples of German university students and alumni as well as a variety of quantitative methods like latent state-trait analysis, cross-lagged analysis, and mediation analysis with multiple mediators. In the first paper, the stable component of career indecision is investigated with longitudinal data stemming from two samples with different time lags (Sample 1: N = 363, 7 weeks; Sample 2: N = 591, 6 months). Furthermore, the combined and unique effects of career indecisiveness and generalized indecisiveness on life satisfaction are examined using a sample consisting of 469 university students. Results indicate that career indecision is determined by a stable component (i.e., trait career indecisiveness) that is associated with lower core self-evaluations, lower occupational self-efficacy, and higher perception of career barriers. Additionally, results indicate that the stable career indecision component explains 5% of the variance in student life satisfaction beyond self-evaluated generalized indecisiveness. The second paper deals with the relationships of vocational interest characteristics - interest congruence, interest differentiation, and general interest level (elevation) - with several indicators of career preparedness (i.e., career planning, occupational self-efficacy beliefs, career decidedness, and career engagement) among a sample of 239 university students. Controlling for sociodemographic variables, multiple regression analyses revealed that differentiation is positively associated with career decidedness and career engagement and elevation is positively related to occupational self-efficacy beliefs and career engagement. The third paper investigates how protean career orientation (PCO) is related to vocational identity clarity and occupational self-efficacy. Study 1 reports a 1-year, three-wave cross-lagged study among 563 university students and established that PCO preceded changes in identity and self-efficacy - but not the other way around. Based on a 6-month longitudinal study of 202 employees, Study 2 shows that identity clarity and self-efficacy mediated the effects of PCO on career satisfaction and proactive career behaviors. PCO only possessed incremental predictive validity regarding proactive career behaviors. However, specific direct or mediated effects of PCO on job satisfaction could not be confirmed. The fourth paper explores the relationships between narcissism and two indicators of career success (i.e., salary and career satisfaction) among a group of young professionals (N = 314). A model proposing that the effect of narcissism on career success is mediated by increased occupational self-efficacy beliefs and career engagement was assessed. While correlations between narcissism and the two indicators of career success were minimal, the results show a significant indirect effect on salary via occupational self-efficacy and indirect effects on career satisfaction via self-efficacy and career engagement. Overall, the different studies corroborate the crucial role of career preparation for a successful start into working life. In sum, this dissertation contributes to literature on vocational psychology by providing novel insights in terms of facilitators and outcomes of career preparation among university students and graduates. Theoretical and practical implications are discussed, and promising directions for future research are identified.
Financial Decisions in Family Firms. Private Equity Investors, Capital Structures and Firm Identity
(2017)
This paper-based dissertation deals with financial issues of family businesses. These businesses are mainly characterized by the overlapping of the two social systems: family and business. Thus, the involvement of an owner family can have a significant impact on corporate decision-making, for instance in terms of corporate finance decisions. In Germany, the latter is dominated by a strong orientation towards banks. Nevertheless, the relevance of external equity, as source of funding, has increased during the last years due to regulatory interventions (Basel III) and a growing number of alternative private equity providers. Against this backdrop, the present dissertation and its four papers examine different research questions in the context of capital structure decisions of family firms. These decisions are related to external equity as well as debt financing. The first paper is a structured literature review concerning the interaction of family firms and external equity investors. The paper analyzes the current state of knowledge and points out directions for future research, which is particularly relevant for a young and recently growing field of research. The second paper is a conceptual paper that deals with the differences of various types of private equity investors from the perspective of family firms looking for funding. The literature review paper revealed that existing studies so far neglected the topic of heterogeneity among investor types. Thus, the second paper represents a first attempt to close this research gap. Paper three also takes up a research gap identified by the first paper and examines the exit of private equity minority investments in family-owned businesses. The paper applies a qualitative empirical research design, which includes fourteen cases and related six interviews. The results reveal that the disinvestment phase of private equity investors only rarely leads to conflicts with owner families. The fourth paper uses a quantitative research design with a comprehensive dataset of 691 companies. The paper aims to compare the capital structures of large family and non-family firms. Overall, the findings show that family firms have significantly higher overall and long-term debt levels compared to their non-family counterparts. The identity as a family firm, which leads to a leap of faith by banks, can be a possible explanation for these results.
When Libet and colleagues published their results on the temporal order of movement preparation and the reported time of conscious will to move in 1983, they shed some doubt on the existence of free will. This marked the beginning of a controversial and still ongoing debate, not only about the existence of free will, but also about the appropriateness of methods and validity of results from research on free will. Belief in free will was also discovered as psychological research topic. Literature on belief in free will shows some evidence that most laypersons across different cultural backgrounds believe that they have free will and that a person's belief in free will might have an impact on cognition and behavior, tending to positive outcomes with a greater belief in free will. Empirical findings from the German-speaking area are sparse, probably due to a lack of validated measurements assessing belief in free will available in the German language. The aim of this dissertation is to critically examine some aspects in psychological research on free will and the belief in free will. Two studies are reported that aim to generalize the Libet paradigm for a free and voluntary decision with consequences for the acting person, as this was never reported to have been researched in literature before, and to test the critical objection that the measurement of reporting the conscious intention to move has a direct effect on the result in the Libet paradigm. Furthermore, the construction of the first inventory measuring belief in free will in the German language is described. This inventory was also created with the aim of overcoming some methodological problems in the existing instruments in English language. Furthermore, studies on the experimental manipulability of the belief in free will are reported. These findings provide implications in view of the current state of research on free will and belief in free will and its reliability.
This paper presents the first nonparametric test whether German works councils go hand in hand with higher labor productivity or not. It distinguishes between establishments that are covered by collective bargaining or not. Results from a Kolmogorov-Smirnov test for first order stochastic dominance tend to indicate that pro-productive effects are found in firms with collective bargaining only. However, the significance level of the test statistic is higher than a usually applied critical level. This somewhat weak evidence casts doubts on the validity of results from recent parametric approaches using a regression framework that point to high positive effects of works councils on productivity.