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This dissertation comprises three essays on the leveraged loan market. The first essay investigates leveraged loan market liquidity. The second essay evaluates several models in terms of their ability to predict leveraged loan volatility. The third essay analyzes the informational efficiency of the leveraged loan market.
This thesis develops methodological approaches to extend the service spectrum of price comparison websites for electronic consumer goods with respect to the determination of the optimal purchase time point. The central decision criterion of price comparison sites’ customers is the (expected) minimum price.
This paper therefore focuses on the prediction of minimum prices and therefrom derived events and answers three questions that set the stage for extending services of price comparison sites:
1. How long do is the expected waiting time to buy our desired product for a set budget or desired price?
2. When should a customer buy so that s/he pays the lowest price within a short, predefined decision horizon?
3. How can a price comparison site make price predictions for a large, heterogeneous set of products over different horizons, and what are the best methods for doing so?
The database used for the analysis results from the specific requirements of the study context. While the first two papers focus on a subset of electronic consumer goods - smartphones - to demonstrate the application of the developed methodology, the third paper addresses the challenges of price prediction for the heterogeneous product landscape on price comparison sites and therefore includes multiple product categories in the analysis.
Topic models such as latent Dirichlet allocation (LDA) aim to identify latent topics within text corpora. However, although LDA-type models fall into the category of Natural Language Processing, the actual model input is heavily modified from the original natural language. Among other things, this is typically done by removing specific terms, which arguably might also remove information. In this paper, an extension to LDA is proposed called uLDA, which seeks to incorporate some of these formerly eliminated terms -- namely stop words -- to match natural topics more closely. After developing and evaluating the new extension on established fit measures, uLDA is then tasked with approximating human-perceived topics. For this, a ground truth for topic labels is generated using a human-based experiment. These values are then used as a reference to be matched by the model output. Results show that the new extension outperforms traditional topic models regarding out-of-sample fit across all data sets and regarding human topic approximation for most data sets. These findings demonstrate that the novel extension can extract valuable information from the additional data conveyed by stop words and shows potential for better modeling natural language in the future.
The cumulative dissertation consists of three articles.
The first article analyses the use of vertical manager interlocks for tax avoidance purposes.
The second article studies the effect of tax department organization on tax avoidance and tax risk.
The third article contains an analysis of the effects of tax evasion penalties levied on corporations or managers on aggressive tax avoidance.
Adolescents who have fled to Western host countries show high levels of psychological distress and high risk for mental disorders. During the 2015-17 refugee crisis, Germany emerged as the largest host country for refugees in Europe. Therefore, rapid and valid screenings are needed to ensure assignment to appropriate treatments. However, it is unclear to what extent the situation of these adolescents is comparable to rates of mental health problems from other studies, as long-term studies with validated measures have not yet been conducted in Germany. In addition, procedural challenges exist in the context of valid diagnostics in the field of young refugees, including the question of transcultural validity of screening measures developed in the West and the reliability of interpreter-assisted diagnostics.
This dissertation therefore explored three main questions: Publication 1 traced the natural course of various mental health symptoms in a group of young refugees. It was shown that although symptom severity decreased significantly within one year, a considerable part of the cohort still showed clinically significant symptoms. Publications 2 and 3 addressed the question of valid screening and diagnostics in the group of young refugees. Publication 2 applied smartphone-based Ecological Momentary Assessment in this group for the first time and was able to demonstrate an association between symptom measures assessed in the questionnaires and low-threshold daily-assessed parameters such as low mood and lower sleep duration. This may indicate the transcultural validity of the questionnaires used. Publication 3, on the other hand, examined psychometric parameters of the Child and Adolescent Trauma Screen as a function of interpreter use and showed in a post-hoc analysis that the groups with and without interpreters did not differ statistically. In terms of the reliability of the measurement, the inclusion of lay interpreters, which is common practice, at least did not appear to be disadvantageous.
The implications and limitations of the studies conducted are discussed in the concluding chapter, showing that while promising treatment approaches exist, some research gaps also continue to exist with regard to various issues in the field of clinical research with young refugees.
Abstract paper 1:
This paper examines how service firms (i.e., car dealers) should manage the remedy for a recalled vehicle, specifically the timing of the repair and the message on its outcome. Drawing on the Protective Action Decision Model (PADM), we consider the repair for a recalled product as a protective action and propose a central role of customers' risk concerns for managing this process. Across multiple studies (including interviews with car dealers, archival data, and experiments with car owners), we show that firms' service processes are not well-aligned with these concerns. Regarding the timing, firms often delay the repair service until the next regular inspection for convenience, while customers prefer an immediate repair if they perceive a high risk and if risk exposure time (time until next inspection) is long. Regarding the outcome message, firms often communicate a benefit such as a value increase (a camouflage signal), which is ineffective. Instead, customers' satisfaction and loyalty with the service firm are increased by communicating a risk reduction (a need signal), mediated by perceived credibility. We recommend that service firms should let customers choose the timing for the repair and frame its outcome as a risk reduction, rather than concealing it as a benefit.
Abstract paper 2:
This paper examines the remedial effect of complaint process recovery (CPR) on customer outcomes (trust and repatronage intentions) after double deviations. CPR refers to improvements in complaint-handling processes aimed at avoiding another recovery failure. Drawing on the stereotype content model, we propose that CPR communication (i.e., informing customers about the improved complaint-handling processes after a double deviation) and CPR verification (i.e., providing evidence of these improvements when customers experience another service failure) foster repatronage intentions, serially mediated by perceived competence and trust. Further, it is proposed that CPR communication reinforces the latter mediation effect. Findings from one scenario-based experiment and two longitudinal field experiments support these hypotheses. Further, the effects of CPR communication and verification are robust across different levels of perceived failure severity and across strong- vs. weak-relationship customers. As a major managerial takeaway, firms learn how to signal their competence and remedy a double deviation, even when accepting and admitting that service failures can reoccur.
Abstract paper 3:
Purpose:
This paper examines how customer expectations of service quality change if a service provider is forced to adapt its service provision due to the social distancing rules applied during pandemic times.
Design/methodology/approach: This research draws on the concept of zone of tolerance for service quality, using field data to determine the zones of tolerance for different service quality dimensions in traditional and adapted service settings for mass events. Customers’ zones of tolerance are compared through repeated measures analyses of variance. Further, the effect of perceived service quality on customer outcomes (i.e., satisfaction with the adapted service and repatronage intention after the pandemic) is examined through a mediation analysis, with usage frequency as the mediating variable.
Findings: This paper shows that customers’ zones of tolerance narrow following service adaptations, which can be explained by rising expectations of minimum tolerable service levels. If the perceived service exceeds this lower threshold of the zone of tolerance, customers show higher satisfaction with the adapted service. Additionally, satisfaction with the adapted service has a positive effect on repatronage intention for the traditional service (i.e., after the pandemic), mediated by usage frequency of the adapted service.
Originality: The topic of service adaption is examined from a customer point of view.
Practical implications: The findings of this study provide important implications for service providers about how to handle service adaption during times of social distancing.
Biogeomorphology from space
(2021)
In the arid and semi-arid climate of Central Asia, the endorheic rivers and their ecosystems play a crucial role as regional hotspots of biodiversity and for the provision of ecosystem services for local people. The Naryn River in Kyrgyzstan as the object of interest of this thesis is one of these rivers. On a flow length of more than 600 km, it is still in a widely natural condition making it an interesting study object in a world where most large rivers are distorted by anthropogenic activities. Despite this relevance, no comprehensive scientific studies are available about the Naryn River except water resource related research. In particular, large scale information about the structure and functioning of the Naryn River system from an interdisciplinary perspective is missing. Against this background, this thesis aims to fill the research gap and deliver up-to-date information about the Naryn River corridor with a special focus on biogeomorphology, i.e. the dynamic interaction between hydromorphology and vegetation. First, this thesis delivers the necessary background information about the Naryn River corridor including a general overview, an assessment of ecosystem services, a field based overview of the structure of the riparian ecosystems and an in-depth analysis of hydrology. Basing upon this background, remote sensing methods adapted to the data-scarce environment of Central Asia are used to derive various parameters of the structure of the Naryn River on the scale from reaches to the entire river corridor. Then, the large scale biogeomorphological structures and dynamics are assessed based on dense time series of multispectral satellite imagery. From the results, it becomes obvious that the structure of the corridor of the Naryn River is heterogeneous and mainly controlled by geological contraints. Only in a laterally unconfined segment, dynamic braided river reaches can form. In these reaches, the majority of biogeomorphological interactions take place. The outcome of this thesis is on the one hand the provision of large scale and up-to-date information about the structure and functioning of the Naryn River corridor as a basis for further research or decision making. On the other hand, this thesis presents innovative remote sensing methods for large scale characterization of river corridors. In particular, an approach for the characterization of dynamic processes of biogeomorphological interactions on a large scale is developed based on time series analysis of satellite imagery. This approach can complement biogeomorphological research on smaller spatial scales by delivering spatially and temporally continuous information for entire river corridors. This has the potential to obtain new insights of the processes and emergence of structure in river systems across multiple scales.
Die kumulative Dissertation „The Effectiveness of Segment Disclosures under the Management Approach: Empirical Evidence from Europe” untersucht die Determinanten und ökonomischen Auswirkungen von Segmentberichtsangaben, welche nach International Financial Reporting Standard (IFRS) 8 aufgestellt wurden. Die Dissertation erweitert die bestehende Literatur zur Wirksamkeit des IFRS 8 in Europa und besteht dabei aus drei Beiträgen.
Der erste Beitrag untersucht den Einfluss von Kultur als Determinante für die Quantität und Qualität der Segmentberichtsangaben europäischer Unternehmen. Im Rahmen der empirischen Analyse werden darüber hinaus die ökonomischen Auswirkungen der kulturinduzierten Veröffentlichungsmuster nachgewiesen.
Der zweite Beitrag beantwortet die Forschungsfrage welche Auswirkungen Non-IFRS Segmentdaten auf die Prognosegenauigkeit von Finanzanalysten haben. In der empirischen Analyse wird dieser Wirkungszusammenhang zudem für spezielle Abweichungen von IFRS Rechnungslegungsgrundsätzen untersucht.
Der dritte Beitrag stellt Änderungsvorschläge an IFRS 8 seitens des internationalen Standardsetters vor und untersucht deren potenzielle Auswirkungen aus Perspektive der Jahresabschlussersteller.
This cumulative dissertation aims to provide novel and holistic ideas on how companies can solve different challenges in the implementation of responsible business conduct (RBC).
The dissertation entails three individual scientific papers:
1. Baier, C., Göttsche, M., Hellmann, A., and Schiemann, F. (2021), “Too good to be true: Influencing credibility perceptions with signaling reference explicitness and assurance depth”, published online in the Journal of Business Ethics (VHB-JQ3: B), doi: 10.1007/s10551-020-04719-7.
2. Baier, C., Beckmann, M., and Heidingsfelder, J. (2020), “Hidden allies for value chain responsibility? A system theory perspective on aligning sustainable supply chain management and trade compliance”, published in the International Journal of Physical Distribution & Logistics Management (VHB-JQ3: B), Vol. 50 No. 4, pp. 439-456, doi: 10.1108/IJPDLM-02-2019-0037.
3. Baier, C. (2020), “Strengere Sorgfaltspflichten für verantwortungsvolle Lieferketten?”, published in DER BETRIEB (VHB-JQ3: D), Vol. 35, pp. 1801-1805.
The three papers of this dissertation concentrate on specific facets of RBC and aim to find new insights and solutions for different challenges in the implementation of RBC. The first paper investigates ethical sustainability reporting and assurance practices. The second paper emphasizes that corporations are responsible to manage both the upstream and downstream sustainability impacts on the value chain and thus concentrates on the RBC aspect of value chain responsibility. The third paper focuses on the concept of supply chain due diligence to identify, prevent, mitigate, and account for adverse human rights and environmental impacts as an elementary part of RBC.
This cumulative dissertation examines possible applications of digital assistants and their optimal design. The first article analyzes whether the emotional support from a digital assistant has a positive effect on the customer’s satisfaction with the service or his persistence. The second article examines digital assistants in their possible role as companions. The effects of the presence of a digital companion on customer satisfaction are examined. The third article deals with digital assistants in their possible role as instrumental supporters. While digital assistants appear through written/recorded language or a visualized embodiment in the context of emotional support or as a companion, they act more inconspicuously while providing instrumental support (e.g. as an autopilot of an autonomous vehicle). Therefore, the article focuses on a possible anthropomorphization of the autonomous digital assistant and examines whether the perceived risk of the user is reduced and his satisfaction with the service can be increased.