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The existence of the common ash (Fraxinus excelsior L.) is acutely threatened by ash dieback, caused by the fungus Hymenoscyphus fraxineus. The disease may lead to reduced pollen flow due to crown damage and tree mortality, which affects the reproductive ecology of Fraxinus excelsior L. However, sexual reproduction in forest trees plays an essential role not only in species conservation and adaptive potential, but also in natural selection and the promotion of genetic diversity. The impending risk of reduced gene flow is therefore of serious concern and threatens the conservation of this valuable tree species. Therefore, it is critical to advance research on the effects of ash dieback on (effective) pollen transport and reproductive ecology of Fraxinus excelsior L. These results can be used to support forest management, such as maintaining ash genetic diversity and promoting the development of natural resistance. Therefore, this study will conduct extensive research in two seed orchards and one floodplain forest in Southern Germany from 2018 to 2021. The main objective of this dissertation was to improve our understanding of gene flow patterns by investigating (effective) pollen dispersal, pollen production and pollen and seed quality of ash trees in relation to their health status.
The main research questions were:
(1) How does ash (effective) pollen transport vary with stand density, ash abundance and meteorology?
(2) Is there a link between mating success and damage to the paternal tree?
(3) Does the health of the ash trees affect pollen and seed quality, as well as pollen quantity?
To answer these questions, different methods were used in the study areas, which differed in topography and degree of stocking. Therefore, not all parameters were examined at every site and in every year, depending on the issue concerned. The health status of the ash trees was assessed every year in July using a six-level vitality score. In addition, phenological observations were made annually in spring according to the BBCH code to determine different phenological stages such as beginning of flowering, full flowering, flower wilting and end of flowering.
Aerobiological pollen measurements were carried out in the two orchards in 2019 and 2020 using self-constructed gravimetric pollen traps of the Durham type. One of the traps was placed in the center of each orchard and up to five additional traps were placed at a maximum distance of 500 m from the orchard. Five vaseline-coated slides were attached to each trap (one in each cardinal di-rection and one horizontally) to measure pollen transport (N=4) and weekly cumulative pollen position (N=1). To study the influence of meteorological parameters, a climate station was placed in each orchard. In addition, other anemometers or data loggers for air temperature and relative humidity were installed.
For paternity analyses, cambium samples were collected for genotyping from branches and stumps of 251 ash trees in a seed orchard and floodplain forest. In addition, seeds were collected from 12 parent trees per site with different health status. Genetic analyses were performed to determine paternal trees using nuclear microsatellites. Paternities were assigned using the likelihood model implemented in Cervus 3.0.7 software.
Pollen viability of ash trees with different health status were studied at all three sites. Pollen production in the two seed orchards and seed quality in one orchard and the floodplain forest. For this purpose, inflorescences of 105 ash trees (pollen production), pollen of 125 ash trees (pollen viability) and seeds of 53 ash trees (seed quality) were collected. Pollen production was estimated from flower to tree level and pollen viability was determined using the TTC (2,3,5-triphenyltetrazolium chloride) test. In addition, pollen storage experiments were carried out to investigate the influence of meteorological factors on pollen viability. Pollen were stored for various periods at different temperatures and humidity conditions and their viability was determined. Seeds were analyzed for quantity and quality (solid, hollow grains, insect damage and germination) and seed quality was determined by both stratification and the TTC test.
The results on aerobiological pollen transport showed that pollen transport is related to meteorology, phenological development and the topography of the study site. The Schorndorf orchard, located on a slope, showed higher pollen levels at the downslope traps, likely due to the transport of pollen by cold air flow. The prevailing wind direction often corresponded with the compass direction in which the highest pollen deposition was measured. When analyzing the pollen data for individual traps, the highest pollen levels were measured outside the orchards in 2019, a year with low flower development. In contrast, most pollen were collected inside the orchard in the pollen-rich year 2020. This suggests that trees outside the orchard can potentially contribute more to pollination in a poor pollen year. In Emmendingen, minor difference in pollen quantity was found between traps at 1.5 m and 5 m height, but there were temporal differences indicating vertical variation in pollen availability. Ash pollen were found to be transported over a distance of more than 400 m, with the amount of pollen decreasing with increasing distance. About 50 % less pollen were measured at a distance of 200 m, but even at a distance of 500 m more than 10 % pollen were still detected.
The studies on effective pollen transport showed similar results: the average distance between father and mother tree was 76 m in the orchard and 166 m in the floodplain forest, with pollination success decreasing considerably with increasing distance. Despite the dense tree cover, the longest distances (> 550 m) were recorded in the floodplain forest. Based on this and the fact that 66.5 % cross-pollen input was recorded in the seed orchard, it can be assumed that pollination does not only involve local sources. However, self-pollination generally did not have a substantial effect on ash reproduction. In terms of health status, both healthy and slightly damaged parent trees showed similar mating success. However, in severely damaged trees almost no flowering could be documented. In general, it was demonstrated that both healthy and slightly diseased fathers sired more offspring than severely diseased ash trees.
The effect of ash dieback on pollen production showed no significant difference between healthy and diseased ash trees, although 53 % of severely diseased male ash trees did not produce flowers. In terms of pollen viability, there was a tendency for diseased ash trees to have less viable pollen than healthy ash trees. In addition, the viability experiments revealed a strong influence of prevailing temperatures on pollen viability, which decreased more rapidly under warmer conditions. There was also no statistical difference in seed quality between ash trees of different health status. However, non-viable seeds were often heavily infested with insects.
In summary, the studies show that a variety of factors influence the reproductive ecology and (effective) pollen transport of ash trees. However, the fact that severely affected ash trees are linked to a reduced flower production and lower pollen quality suggests that as health deteriorates, reproductive capacity also declines. It is therefore likely that severely diseased ash trees have a limited ability to pass on their genes to the next generation. Paternity analyses also suggest that high vigor has a positive effect on reproductive success and that pollen transport can occur over long distances. As susceptibility to ash dieback can be passed on from parents to offspring, these reactions to ash dieback may make ash populations less susceptible in the future.
Finance without foundations
(2022)
This thesis examines the role of financial inclusion by way of access to formal financial services such as savings, credit, transfers and payments, in supporting the lives of refugees in protracted displacement in Jordan. It asks if such access enables smoother financial and livelihood transitions as refugees arrive and integrate into their new environments in host countries. It critically evaluates the narrative presented by humanitarian actors supporting financial inclusion as a marketled intervention to support refugee self-reliance. It argues that the limited provision of financial services through mobile wallets and micro-credit is not sufficient to financially integrate refugees. Above all, it demonstrates through the in-depth qualitative research in Jordan that in a context where refugees’ livelihoods are constrained due to a lack of foundational economic rights, financial services can only marginally improve their lives by making it more convenient to receive remittances and humanitarian transfers.
The research is embedded in a larger project called “Finance in Displacement: Exploring and strengthening financial lives of forcibly displaced persons” (FIND), which was initiated in 2019 as a collaboration between the Katholische Universität Eichstätt-Ingolstadt, the Tufts University, and the International Rescue Committee. The project was supported by the German Federal Ministry for Economic Cooperation and Development (BMZ).
In children exposed to any traumatic experience, a conditional prevalence rate of 15.9% was estimated for posttraumatic stress disorder (PTSD; Alisic et al., 2014). In order to achieve best treatment outcomes, selecting evidence-based treatments is necessary (Durlak & DuPre, 2008). For pediatric PTSD, international guidelines recommend the use of manualized trauma-focused cognitive behavioral therapy (TF-CBT; Forbes, Bisson, Monson, & Berliner, 2020; National Institute for Health and Care Excellence, 2018; Phoenix Australia Centre for Posttraumatic Mental Health, 2013) and many effectiveness studies and initiatives (e.g. Goldbeck, Muche, Sachser, Tutus, & Rosner, 2016; Jensen et al., 2014; National Child Traumatic Stress Network, 2012) disseminated the TF-CBT manual of Cohen, Mannarino and Deblinger (2006, 2017; specific TF-CBT). However, the uptake of evidence-based treatments such as specific TF-CBT into practice is strongly affected by service providers’ attitudes toward evidence-based practice (EBP; Aarons, 2004; Aarons, Cafri, Lugo, & Sawitzky, 2012; Aarons, Sommerfeld, & Walrath-Greene, 2009; Moullin, Dickson, Stadnick, Rabin, & Aarons, 2019). These attitudes can be measured with the Evidence-Based Practice Attitudes Scale-36 (EBPAS-36; Rye, Torres, Friborg, Skre, & Aarons, 2017). In Germany, several effectiveness trials are underway further disseminating specific TF-CBT (Rosner, Barke, et al., 2020; Rosner, Sachser, et al., 2020) but a reliable and validated German version of the EBPAS-36 is missing. In addition, in terms of pooled effect sizes (ES), only one review evaluated specific TF-CBT 10 years ago (Cary & McMillen, 2012). Furthermore, little is known about the stability of its treatment effects, the concordance between children and adolescents’ and their caregivers’ ratings regarding the youths’ symptoms in this context as well as the influence of the heterogeneity of instruments used by individual studies.
Therefore, the aims of this dissertation were fourfold: Publication 1 pooled ES for specific TF-CBT regarding posttraumatic stress symptoms (PTSS) and secondary outcomes to provide an update of the literature. Large improvements were found across all outcomes and results were favorable for specific TF-CBT compared to all control conditions at post-treatment. Publication 2 pooled ES for specific TF-CBT at 12-month follow-up for the same outcomes to evaluate the stability of treatment effects and investigated concordance between participants and caregiver ratings. Again, large improvements were evident across all outcomes and TF-CBT was superior to active treatments and treatment as usual at 12-month follow-up. No significant differences were detected between participant and caregiver ratings with high reliability across almost all outcomes and assessment points. Publication 3 produced a validated German translation of the EBPAS-36 (EBPAS-36D) to facilitate EBP implementation research in Germany. Good psychometric properties and validity of the EBPAS-36D were confirmed. As additional content, this dissertation provides an unpublished report on the pooled ES of publication 1 differentiated by instruments used to assess the outcomes. ES did not differ by the instrument used to assess the respective outcome.
The conclusions that can be drawn from the studies as well as their limitations are discussed in the final section. While the EBPAS-36D was successfully validated and specific TF-CBT was strongly supported, several issues were identified that need further research attention.
Background:
Pollen allergies are widespread around the world, making the study of pollen levels in and around cities a task of high importance. This is also related to the fact that an increasing number of people is living in cities and urban areas are expanding. In addition, environmental changes in the context of climate change are expected to alter plant characteristics that affect the amount of pollen in the air. In order to assess the allergy risk, information on pollen that people are exposed to is needed. Monitoring of aeroallergens in cities is often conducted using a single trap. This trap can provide information on background pollen concentration, however, it does not reflect temporal and spatial variations of pollen at street level of the heterogeneous urban environment. The amount of pollen in the air is the result of a number of processes, one of which is pollen production. Pollen production is expected to be altered by climate change and is influenced by environmental factors such as temperature or air pollutants. To further investigate variations of allergenic pollen in cities, this thesis focuses on these central research questions:
- Are there differences in the amount of airborne pollen between urban and rural locations and do pollen loads vary at different spatial and temporal scales?
- What is the influence of land use and management on pollen loads?
- Is there a difference in pollen production of allergenic species between urban and rural locations and can the influence of environmental factors be detected?
Data and Methods:
Data on airborne pollen were gathered in two study areas with various pollen traps. In Ingolstadt, Germany, background pollen concentrations of Poaceae were measured in 2019 and 2020. Additionally, a network consisting of twelve gravimetric pollen traps was set up during the grass pollen seasons of those years. For an additional sampling campaign, portable volumetric traps were used to measure pollen concentration at street level. Investigations were also conducted in Sydney, Australia, where concentrations of Poaceae, Myrtaceae and Cupressaceae pollen and Alternaria spores were measured during three pollen seasons from 2017 to 2020. In the summer of 2019/2020, additional ten gravimetric traps were set up. For both study areas, pollen season characteristics and temporal and spatial variations of pollen concentrations and pollen deposition were analysed in context with land use, land management and meteorological parameters.
Furthermore, pollen production of the allergenic species Betula pendula, Plantago lanceolata and Dactylis glomerata was investigated in the Ingolstadt study area along an urbanisation gradient, which covered different types of land use. In total, 24 individuals of B. pendula, 82 individuals of P. lanceolata and 54 individuals of D. glomerata were analysed. Pollen production was compared between urban and rural locations and the influence of air temperature and the air pollutants nitrogen dioxide (NO2) and ozone (O3) was assessed. Air temperature was measured in the field and pollutant concentrations were computed using a land use regression model.
Results and Discussion:
In Ingolstadt, grass pollen concentrations and deposition were generally higher at rural than at urban locations as documented in peak values and seasonal totals. Diurnal variations however, did not vary between urban and rural locations. Grass pollen levels were linked to local vegetation and land use but also land management, as grass cutting was reducing pollen levels in the surroundings.
In Sydney, pollen season characteristics varied between the seasons and we found significant correlations between daily pollen and spore concentrations and meteorological parameters. There were significant positive correlations with air temperature for all analysed pollen and spore types. Correlations with humidity (Myrtaceae, Cupressaceae, Alternaria) and precipitation (Myrtaceae, Cupressaceae) were negative. Spatial variations of pollen deposition were observed, but there were no correlations with land use. This could be attributable to the drought before and during this sampling campaign as well as the temporal setting of the sampling campaign.
The results from both study areas suggest that local vegetation is the main influence on the pollen amount at street level. However, when the season’s intensity decreased, other influences such as resuspension or pollen transport become more important. Analyses of pollen production revealed statistically significant differences between urban and rural locations for B. pendula and P. lanceolata. Pollen production decreased with temperature and urbanisation for all species, however, pollen production varied at small spatial distances within species. For increasing air pollutant levels, decreases were observed for B. pendula and P. lanceolata, but increases for D. glomerata. These results suggest that environmental influences seem to be species-specific.
The results from the studies contribute to the knowledge on temporal and spatial variations of airborne pollen in cities, as well as on pollen production of allergenic species. They highlight the importance of pollen monitoring at street level and at different locations in cities to assess the amount of pollen that people are exposed to. Further research in this area should investigate the influence of land management, which was identified to influence the amount of pollen in the air, and which could be a mitigation strategy for allergy-affected people. In addition, pollen production should be further examined with different kinds of experiments, as it is the major influence of ambient pollen concentration in the air.
This cumulative dissertation investigates the newly emerged phenomenon of customer success management (CSM). CSM has received a significant amount of attention from academics and practitioners alike. However, the body of academic literature is still in its infancy, especially when comparing CSM’s relevance to the field of relationship marketing.
Manuscript 1: Zakrzewski, K., Krause, V., Pfaff, C. & Seidenstricker, S. (2023). Is customer success management a new relationship marketing practice? A review, definition, and future research agenda based on practice theory.
Manuscript 2: Zakrzewski, K., Krause, V., Eberl, D. & Rangarajan, D. (2023). Dynamic & proactive segmentation of post-sale customer relationships in B2B subscription settings: The customer health score.
Manuscript 3: Zakrzewski, K. (2023). Customer success management - closing a capability gap in the customer-focused structure toward customer centricity in B2B service contexts.
The first manuscript adopts a new approach to the investigation of CSM, providing a practice-based definition that distinguishes CSM from other relationship marketing constructs. By utilizing the 3 Ps framework of practice theory (praxis, practices, and practitioners), the definition of CSM as a strategic function was refined. In addition, the second manuscript utilized praxis to develop the customer health score, which can be used as an indicator for the dynamic and proactive segmentation of customers. The third manuscript builds on this functional definition to show how CSM’s organizational embeddedness can help overcome barriers to customer centricity by enabling adaptive organizational capability.
In forecast combination, multiple predictions are linearly combined through the assignment of weights to individual forecast models or forecasters. Various approaches exist for defining the weights, which typically involve determining the number of models to be used for combination (selection), choosing an appropriate weighting function for the forecast scenario (weighting), and using regularization techniques to adjust the calculated weights (shrinkage). The papers listed address the integration of the three approaches into holistic data analytical models.
The first paper develops a two-stage model in which weights are first calculated based on the in-sample error covariances to minimize the error on the available data by combining the individual models. Based on the selection status of a model, the weight of an individual model is then linearly shrunk either toward the mean or toward zero. The selection status is thereby derived apriori from information criteria, where Contribution 1 introduces the selection based on the model’s in-sample accuracy and performance robustness under uncertainty.
Contribution 2 modifies the two-stage model to shrink the forecasters’ weights non-proportionally to the mean or zero. Further, a new information criterion based on forward feature selection is proposed that iteratively selects the forecaster that is expected to achieve the largest increase in accuracy when combined.
Contribution 3 extends the iteration-based information criterion presented in the second contribution to consider diversity gains in addition to accuracy gains when selecting and combining forecasters.
A one-stage model for simultaneous weighting, shrinking, and selection is finally built and evaluated on simulated data in Contribution 4. Instead of requiring a prior selection criterion, the model itself learns which forecasters to shrink to the mean or to zero, while relying on a new sampling procedure to tune the model.
"Present Bias in Choices over Food and Money: Evidence from a Framed Field Experiment" - this paper presents results from a field experiment investigating dynamically inconsistent time preferences over real food choices and commitment take-up in a natural environment. We implement a longitudinal consumption experiment with a continuous convex budget: College students repeatedly choose and consume lunch menus at their college canteen. We not only allow for a full continuum of healthy or unhealthy foods; we also explicitly design the consumption stage to comply with the consume-on-receipt assumption: utility is created right after handing out the food. The paper also focuses on the implications for effective policy design: It sheds light on consumers' tendency to utilize different types of self-control devices to commit to personal consumption plans. We further compare inconsistent behavior between convex food and money choices to investigate the applicability of monetary reward studies to natural behavior. We find no correlation between time parameters in food vs. money tasks. Utility estimates from food choices suggest that dynamically consistent individuals substitute internal self-control with commitment take-up. Non-committing individuals tend to be present-biased and naive about their inconsistency.
"Dynamic Inconsistencies and Food Waste: Assessing Food Waste from a Behavioral Economics Perspective" - this paper investigates the link between dynamically inconsistent time preferences and individual food consumption and waste behavior. Food waste is conceptualized as unintended consequence of consumption choices along the food consumption chain: Because inconsistent individuals postpone the consumption of healthier food at home, storage time is prolonged and food more likely to be wasted. Capitalizing on a rich data set from a nationally representative survey, the paper constructs targeted measures of time-related food consumption and waste behaviors. In line with the theory, the paper finds that more present-biased individuals waste more food. The mechanism can be empirically supported: Although dynamically inconsistent individuals plan their food consumption, they deviate from their consumption plans more compared to consistent individuals. Deviation behavior is significantly associated with food waste. The paper points to the importance of considering dynamic inconsistencies at different stages of the food consumption process to foster the intended effects of food policies (increase in healthy nutrition) and diminish unintended consequences (increase in food waste).
"Economic Behavior under Containment: How do People Respond to Covid-19 Restrictions?" - this paper investigates the effects of policy interventions on individual decision-making and preferences by looking at a period of unprecedentedly strict regulation: the Covid-19 pandemic. Focusing on Germany, we measure regulatory strictness by calculating a policy stringency index at the federal state level. Capitalizing on exogenous variation in predetermined election cycles across states, we instrument policy stringency with the distance to the next election. Results support a positive relation between weeks to next election and state policy stringency. Leveraging a nationally representative short panel, the paper exploits this exogenous variation in policy stringency across states and over time to assess behavioral changes in different economic domains. The paper finds that government restrictions increase working from home and the provision of childcare at home, while it reduces the number of grocery shopping trips. Containment policies also affect risk preferences and fear of Covid-19: individuals become more risk-averse and afraid of Covid-19 as a consequence of stricter policies. The results are robust against various different model specifications.
Exposure to more than one language influences children's language development (Kehoe & Kannathasan, 2021). It has been shown that particularly the relative amount of language input bilingual children receive influences their language development. Bilingual children can never dedicate the same amount of time to either one of their languages as their monolingual peers because their everyday linguistic environment is divided between two languages. This may ultimately lead to typically developing bilingual children with linguistic profiles similar to monolingual children with a language developmental disorder (DLD) if they have reduced contact to one of their languages (Paradis, 2010). For this reason, it is particularly difficult for clinicians (i.e., Speech-Language Pathologists, SLPs) to distinguish between actual language impairment and typical deviations from the (monolingual) norm due to limited language exposure. In Germany, almost half of all children in speech therapy have a bilingual or multilingual language background (Lüke & Ritterfeld, 2011). Despite the high proportion of bilingual children in speech therapy, the assessment and treatment of DLD in this population is still predominantly monoculturally and monolingually oriented (Scharff Rethfeldt, 2016). Previous studies have identified nonword repetition tasks (NWRTs) as promising tools for the clinical differentiation between bilingual typically developing children and children with DLD because they are arguably relatively free from the influence of children's prior language experience (Schwob et al., 2021). However, some researchers have raised the question of whether bilingual children might still be disadvantaged by language-specific characteristics of nonwords (e.g., Chiat, 2015).
In three separate studies, this dissertation will (1) demonstrate the influence of bilingual language exposure on speech sound processing, an essential building block of language development, (2) evaluate how DLD is diagnosed in bilingual children in Germany and which factors contribute to positive attitudes towards bilingualism in SLPs, and (3) investigate whether bilingual children's nonword repetition performance of language-specific versus unspecific (i.e., more language-neutral) nonwords is subject to the influence of their individual language exposure.
In the first study (see chapter 2), the perception and production of Voice Onset Time (VOT) in bilingual Italian-German, monolingual German, and monolingual Italian children was investigated using a combination of neurophysiological and behavioral methods. Forty five-year-old children (16 monolingual German, 24 bilingual Italian-German) participated in the electroencephalographic (EEG) study, in which automatic speech sound processing of Italian- and German-specific VOT contrasts was investigated. To compare the participants language-specific VOT production, in addition to the 16 monolingual German and 24 bilingual Italian-German children, a control group of five monolingual Italian-speaking children were tested with a picture naming task in which the production of language-specific word-initial VOT was recorded based on ten words per target sound. Acoustic measurements were taken in Praat (Boersma & Weenink, 2013). Children's language background was assessed using a parental language background questionnaire. In the second study (see Chapter 3), 66 SLPs from Germany participated in an online survey investigating their attitudes towards bilingualism and their approaches in their daily clinical practice. Finally, in the third study (see Chapter 4), a new NWRT was developed that included Italian- and German-specific as well as language-unspecific nonwords. The NWRT was implemented in an online platform and administered to a group of 26 bilingual Italian-German TD children. Children's repetition performance in the different nonword subcategories was analyzed in the context of their linguistic background (recorded using the same questionnaire as in Study 1).
Study 1 showed that Italian-German bilingual five-year-old children and the monolingual German control group behaved similarly in processing language-specific VOT stimuli. However, differences between the two groups likely related to language exposure were evident in the processing of a German "long lag" stimulus. Surprisingly, the bilingual group had no advantage in processing the Italian "voicing lead" stimuli. This suggests that the bilingual five-year-olds do not (yet) process the Italian contrasts automatically (Yu et al. 2019). Acoustic measures of productive VOT for Italian and German words were consistent with this interpretation. Specifically, bilingual children showed mastery of the German but variability with respect to the Italian VOT contrast. Evidence for crosslinguistic influence (cf. Paradis & Genesee, 1996) was observed. Study 2 showed that there seems to be an imbalance between SLPs' knowledge of the specific requirements for providing their services to bilingual children and their actual application in clinical practice, indicating sufficient awareness but still a relatively high presence of monolingual approaches in the context of speech therapy. Presumably, this is due to a lack of available materials and/or resources. Finally, Study 3 showed that Italian-German bilingual children performed equally well on Italian-specific, German-specific, and language-unspecific nonwords, regardless of their individual language exposure and language dominance patterns, supporting the view that even language-specific NWRTs can be used to clinically assess the language performance of bilingual children with relatively little exposure to either of their languages. However, this result has yet to be replicated and thus confirmed with a group of children with DLD.
In summary, these three studies highlight the gap between scientific research and clinical practice and demonstrate the relevance of clinicians' participation in research projects to (1) improve knowledge transfer between the two fields and (2) promote evidence-based practices in the context of Speech-Language Pathology.
In this thesis, I evaluate different tax policy reforms or tax policies in general with respect to the three pillars of sustainability: the environmental, the economic, and the social pillar. The cumulative dissertation consists of the following four chapters:
Chapter 1: Towards Green Driving - Income Tax Incentives for Plug-in Hybrids (based on joint work with Henning Giese)
Chapter 2: Corporate Taxation and Firm Performance (based on joint work with Dominika Langenmayr, Valeria Merlo, and Georg Wamser)
Chapter 3: Tax Avoidance Using Hybrid Financial Instruments Among European Countries
Chapter 4: Avoiding Taxes: Banks’ Use of Internal Debt (based on joint work with Franz Reiter and Dominika Langenmayr)
The first chapter relates to the environmental dimension of sustainability. More specifically, I evaluate a specific German tax reform that aimed at reducing greenhouse gas emissions in the transportation sector – a key driver of emissions – by fostering green driving. This essay empirically investigates whether a preferential tax treatment for hybrid plug-in company cars was effective in fostering green driving and whether it was cost-efficient.
The second chapter relates to the economic dimension of sustainability. A subgoal towards more sustainability in this dimension is decent economic growth. Chapter 2 of this thesis contributes to the question of how tax policy can foster firm performance which is an important driver for economic growth. This essay empirically investigates the relationship between corporate taxation and firm performance taking into account firm heterogeneity. As tax policy is an essential instrument for reaching political goals like boosting the economy in crises, this essay may provide valuable insights for policymakers.
The third and fourth chapters relate to the social dimension of sustainability. A subgoal towards more sustainability in this dimension is increased international cooperation. With respect to taxation, the global challenge of multinational firms engaging in tax avoidance made international cooperation in tax policy essential in the last decade. Chapter 3 investigates a specific channel of tax avoidance, i.e., tax avoidance with hybrid financial instruments. This legal analysis reveals tax avoidance opportunities among selected European countries and evaluates countermeasures.
Chapter 4 investigates a different channel of tax avoidance, i.e., intragroup debt finance, specifically for the banking sector. I use administrative data to empirically analyse whether and to what extent multinational banks engage in tax avoidance.
Employing a two-pronged approach to analyzing language, this study uses evidence obtained from a large-scale corpus study and psycholinguistic experiments to investigate the Comparative Correlative (CC) construction (e.g. The more we get together, the happier we’ll be) across twenty varieties of English. More than 10,000 tokens from three of the largest corpora of English (COCA, BNC, GloWbE) and experimental data from almost 600 participants from four locations (Texas, South Africa, Singapore, and Kenya) are analyzed using advanced statistical methods, providing striking evidence for a high degree of parataxis between the subclauses of the construction and massive redundancy regarding cross-clausal associations which, it is argued, are best explained with a Usage-based Construction Grammar (CxG) approach that posits the existence of an elaborate network of interconnected mesoconstructions.
Addressing more general questions about the nature of human language, it is argued that this ‘bottom-up’ approach to language can account for one of the most fundamental riddles that the discipline of linguistics is striving to solve: Accounting for the potential of infinite creativity of language based on a finite set of rules. Furthermore, it is claimed that as an inclusive approach to language, CxG is better at accounting for construction-specific features that Mainstream Generative Grammar (MGG)-based approaches have struggled with. As it turns out, the evidence suggests that the English CC construction is anything but ‘peripheral’.
Additionally, this study examines the CC construction from a World Englishes perspective, addressing a significant gap in research: Schneider, for example, has noted that “[o]nly rarely have New Englishes been employed as test cases for general questions of language theory” (2003: 237), and Hundt writes of the challenge of “bring[ing] intricate, quantitative modelling of usage data to bear on theoretical modelling” (2021: 298). Accordingly, this study provides evidence for the predictive power of Schneider’s Dynamic Model (DM) (2003, 2007), which posits that there is a correlation between evolutionary stages of World Englishes and linguistic features. In this context, it is also shown how principles of cognitive approaches to language can explain both generalizations across varieties as well as variety- and DM stage-specific effects. Furthermore, this study provides strong evidence to support Kortmann’s claim of a continuum ranging from Pidgins and Creoles as “deleters” to L1 varieties as “preservers” (2014: 9) of grammatical formatives, contra Mesthrie and Bhatt’s claim of a geographical dichotomy between African and Asian varieties.
In this dissertation, I investigate how innate decision-making tools, such as culture and curiosity, affect individual economic education and innovation decisions. The cumulative dissertation consists of the following four chapters:
Chapter 1: Culture in Individual Economic Decision-Making—A Conceptual Contribution
Chapter 2: Individualism and the Formation of Human Capital (based on joint work with Sven Resnjanskij, Jens Ruhose, and Simon Wiederhold)
Chapter 3: Individualism, Creativity, and Innovation
Chapter 4: Play Stupid Games, Win Stupid Prizes? Casino-Based Evidence on Exploration Strategies and Curiosity in a High-Complexity Game (based on joint work with Alexander Patt)
Through a combination of methods (theoretical as well as structural and reduced-form empirical work) and data sources (ranging from large-scale international data to experimentally generated data), each chapter answers a distinct but related research question:
While the first chapter contributes to our conceptual understanding of culture in an economic context, chapters two and three are dedicated to investigating economic effects of individualism. Individualism is a polarizing dimension of culture with its emphasis on personal achievement and personal responsibility. Although individualism is an established driver of long-run economic growth, the underlying individual-level mechanisms have not been well understood. To close this research gap, I study the role of individualism in individual education and innovation decisions. Using data from an international skill assessment, the second chapter shows that individualism strongly and positively affects human capital investments. Individualism matters more for human capital formation than any other dimension of culture found in the economic literature and should, thus, be included more rigorously in the education production function. Complementarily, the third chapter reveals that individualism is positively related to individual innovativeness – which is captured by a wide range of measures from selection into creative-innovative occupations and knowledge diffusion on the job to creativity traits and patenting.
Focusing on the exploration-exploitation trade-off that is prevalent in innovation decisions, the fourth chapter uses slot machine games to investigate exploration behavior in a natural yet controlled setting. The experimental results document that a significant group of players engage in curiosity-based exploration related to the game’s entropy. The different player types identified in the data showcase the variety of strategies economic agents use to navigate a high-uncertainty high-complexity decision environment.
To embrace diversity in thoughts and approaches economically, an understanding of the specific role of cultural tools in economic decision making is imperative.
Abstract Paper 1:
Cybervetting has become common practice in personnel decision-making processes of organizations. While it represents a quick and inexpensive way of obtaining additional information on employees and applicants, it gives rise to a variety of legal and ethical concerns. To limit companies’ access to personal information, a right to be forgotten has been introduced by the European jurisprudence. By discussing the notion of forgetting from the perspective of French hermeneutic philosopher Paul Ricoeur, the present article demonstrates that both, companies and employees, would be harmed if access to online information on applicants and current employees would be denied. Consistent with a Humanistic Management approach that promotes human dignity and flourishing in the workplace, this article proposes guidance for the responsible handling of unpleasant online memories in personnel decision-making processes, thereby following Ricoeur’s notion of forgetting as “kept in reserve”. Enabling applicants and employees to take a qualified stand on their past is more beneficial to both sides than a right to be forgotten that is questionable in several respects.
Abstract Paper 2:
When hiring new employees, managers often conduct online background checks on applicants. This practice has led many applicants to reach out to legal and technological solutions that render unpleasant online memories forgotten. With this article, we question the effectiveness and social value of approaches aimed at permanently erasing information from the web. Furthermore, we provide practitioners with guidance toward responsible handling of applicant information from the web. In this conceptual article, we review the literature on organizational memory and interpret it through a philosophical lens by turning to the works of the French philosopher Paul Ricoeur and the French sociologist Maurice Halbwachs. We conclude that legally or technologically enforced forgetting on the web fails to provide true protection from a memory in a hiring situation, as remembering in an organization is a complex social process that hardly lets a memory disappear completely. As a result, legal and technological approaches that aim at erasing unpleasant memories from the web represent only an illusion of protection for job applicants. Alternatively, we propose a selection process that makes the erasure of unpleasant memories from the web unnecessary. Previous literature on organizational memory has already criticized a purely mechanistic view of memory in organizations, by which memories are treated as objects that can be retrieved and deleted on demand. To the best of our knowledge, this is the first article that establishes a connection between organizational memory and the use of online information in selection.
Abstract Paper 3:
Companies have started using social media for screening applicants in the selection process. Thereby, they enter a low-cost source of information on applicants, which potentially allows them to hire the right person on the job and avoid irresponsible employee behavior and negligent hiring lawsuits. However, a number of ethical issues are associated with this practice, which give rise to the question of the fairness of social media screening. This article aims to provide an assessment of the procedural justice of social media screening and to articulate recommendations for a fairer use of social media in the selection process. To achieve this, a systematic literature review of research articles pertaining to social media screening has been conducted. Thereby, the benefits and ethical issues relating to social media screening, as well as recommendations for its use have been extracted and discussed against Leventhal’s (1980) rules of procedural justice. It turns out that without clear guidelines for recruiters, social media screening cannot be considered procedurally fair, as it opens up way too many opportunities for infringements on privacy, unfair discrimination, and adverse selection based on inaccurate information. However, it is possible to enhance the fairness of this practice by establishing clear policies and procedures to standardize the process.
Abstract Paper 4:
Social media platforms have presented individuals with sheer endless possibilities for networking, creating and exchanging information. Yet, overwhelming social demands, privacy concerns, and even a lack of access to new technologies have led many users to discontinue social media usage. Simultaneously, companies screen and select applicants on social media. As previous research suggests that employers may view missing social media information with suspicion, we ask if non-users of social media face disadvantages in hiring: Are they discriminated against? In this study, we employ a 2 x 2 experimental survey design to verify whether absence from social media may result in discriminatory behavior towards job applicants. We conduct the study with two samples: The first comprises business students, and the second consists of more senior members of the workforce. Although this study does not confirm discrimination against non-users of social media in the selection process, it adds to the literature in two respects: Firstly, it shows differences in call-back between highly and less qualified candidates as a result of social media information. Secondly, it suggests unintentional, systemic rater biases. Against these findings, we formulate recommendations for applicants and employers and give recommendations for future research in this field.
Specifying or deriving customers' needs into detailed requirements becomes essential for holistic customer-centricity in automotive systems engineering, relying heavily on simulation models. However, with the increase of system complexity, customer diversity, and difficulty of customer data acquisition, it becomes challenging to specify model inputs that represent individual customer usage behavior across the whole product lifecycle. To let these challenges be tackled, this dissertation addresses the problem of customer usage profiling to support decision-making in the context of automotive systems engineering. First, two fundamental data engineering procedures are investigated, including data aggregation for feature reduction and sampling for representing the customer fleets with a few selected reference customers. After data preprocessing, a method for preparing the model inputs from aggregate customer data, i.e., usage profiling, is developed. Usage profiling applies meta-heuristics, synthesizing sufficiently representative from aggregate fleet data. Furthermore, a decision support system is developed to deploy the aggregation, sampling, and usage profiling into model-based automotive system engineering processes. As both data and various models are connected, digital twinning is applied. Using real-world fleet data, an evaluation case study for determining lifetime requirements indicates that the methodology is plausible and capable of consolidating customer-centricity into automotive systems engineering processes.
In this cumulative dissertation, I investigate unintended economic consequences of government interventions in three essays, each looking at a very specific question. The first essay examines how the introduction and enhancement of public pension systems affect demography, the second essay focuses on tax evasion via citizenship-by-investment programs, and the third essay evaluates the diversion of foreign financial assistance by powerful elites from recipient countries.
Despite the different research questions, all three essays evolve around the issue that actions of governments almost always create incentives causing unforeseen or unexpected behavioral responses. The first essay shows that increasing pension wealth creates incentives to save less for old-age in the form of own children, the second essay documents that policy instruments that increase the detection probability of tax evasion create incentives for evaders to find new ways to circumvent the law, and the third essay shows that foreign assistance creates rent-seeking incentives.
The results collected in the dissertation have implications for economic policy: Government interventions must be informed by an understanding of how well policies and programs produce (or contribute to) their desired outcomes. The results of all three essays presented in this thesis demonstrate that unforeseen or unexpected behavioral responses to government interventions can lead to economic outcomes or side effects that are divergent or contrary to the intentions of policymakers. These unintended economic consequences can significantly lessen the effectiveness of the policy or render it unsustainable. The first essay illustrates that the fertility effects of public pensions can erode the contribution base and, thus, the sustainability and political acceptance of a PAYG pension system in the long-run. The second essay shows that loopholes that have been found by evaders can lessen the deterrence effect of tax information exchange mechanisms, undermining their effectiveness to curb tax evasion. The third essay demonstrates that aid capture can prevent resources from being spent on their intended use, rendering foreign assistance less effective.
The overall aim of this cumulative dissertation is to contribute to a better understanding of both antecedents of the usage of automated mobility offerings and outcomes that individual consumers experience from such usage. The dissertation contains three distinct papers:
Paper 1: Janotta, F. (2022), “Making emergent technologies more tangible - Effects of presentation form on user perceptions in the context of automated mobility”
Paper 2: Janotta, F. & Hogreve, J. (2022), “Ready for take-off? The dual role of affective and cognitive evaluations in the adoption of Urban Air Mobility services”
Paper 3: Janotta, F.; Hogreve, J.; Gustafsson, A. & Lervik-Olsen, L. (2022), “Will automated mobility contribute to consumer well-being? The role of mindfulness interventions in the context of automated driving”
Each paper addresses a specific prevailing research gap in the literature related to automated mobility offerings, focusing on different use cases of automated mobility. Paper 1 investigates the effects of different presentation forms of automated driving on consumers’ perceptions, thereby addressing the challenge of effectively visualizing emergent automated technologies and making them more tangible to respondents in the context of empirical research, thus providing a methodological basis for the further investigation. Paper 2 investigates antecedents of consumers’ adoption intentions of autonomous passenger drones, specifically focusing on the dual role of affective and cognitive considerations in the formation of usage intentions. Paper 3 investigates outcomes of consumers’ usage of automated mobility offerings, focusing on the use case of automated driving and its effects on individual well-being of consumers.
Trading in the shadows
(2022)
1. Credit supply externalities of a secondary loan market
We analyze the primary and secondary market for leveraged loans over the period from January 2010 to January 2020. Our findings indicate a trading channel of credit supply contraction. Nonbank lenders that are active loan traders decrease their credit supply relative to banks when the secondary market becomes cheap and expected profitability of loan trading increases. Direct evidence from collateralized loan obligations, the largest nonbank lenders, is consistent with the interpretation that credit is crowded out by nonbanks responding to profitable opportunities in the secondary loan market, rather than with a demand-based interpretation. The results suggest that the existence of a secondary loan market might have negative spillovers to the real economy, a possibility overlooked thus far.
2. Do investors care about climate change risk – even if nobody looks? Evidence from the private market
This paper contributes to the discussion about the regulation of private markets by taking climate change into the equation. It aims at filtering out factors of public awareness and regulation to see how investors behave on private markets, where “nobody looks”. We analyze changes in leveraged loan index prices and trades that can be associated with changes in climate risk awareness during the Paris Agreement and the French Energy Transition Law in 2015. CLOs, the largest players on the leveraged loan market and barely regulated or publicly observed institutional investors, do care about climate risks – just not the way climate activists would hope for: They further invest in brown firms and even increase their inventory when the overall prices of these decline as a response to the Paris Agreement. The effect reverses in face of more concrete regulatory threats of the French Energy Transition Law.
3. Value and momentum in private debt: Trading strategies for leveraged loans
This paper applies empirical asset pricing literature on the leveraged loan market by analyzing short-term (one-month) value and momentum strategies. We apply portfolio sorts on aggregate industry and country excess returns for four different panels in the US and Europe with almost seventy years of combined data. This novel approach of aggregating leveraged loans ensures tradability as investors can choose from available facilities within an industry or country portfolio. Sorting countries into terciles of HIGH, MEDIUM, and LOW according to value and momentum results in annualized credit excess returns of long HIGH-value portfolios from 548 bps to 1,040 bps; and long HIGH-momentum returns from 429 bps to 1,358 bps. Annualized Sharpe ratios span 0.93 to 1.45 and 1.11 to 1.64, respectively. These profits are neither compensation for default risk nor liquidity provision.
A functional central limit theorem for recursive residuals and applications in asymptotic statistics
(2022)
We study partial sums of recursive residuals, define a recursive residual partial sum process and prove that this process converges weakly against Brownian motion. For not normally distributed errors, the limit process has been known only for time series samples under assumptions that are difficult to verify, or in the case of triangular schemes of design points only under strong assumptions on the regression functions. For the first time, we determine the limit process for triangular schemes without the restrictive assumption of normally distributed errors and under very mild assumptions on the regression functions (they have to be left continuous, of bounded variation and linearly independent with respect to the L2 norm) that are of great benefit for practical applications. Crucial for the proof are Donsker's invariance principle for triangular schemes, a technique to factorize simultaneously a family of functions and Rubin's famous continuous mapping theorem. Our approach, based on Rubin's theorem, further allows us to compute the distribution of the limit process under local alternatives. With the help of these asymptotic results we are then able to define and study asymptotic tests and we give an example of an asymptotically uniformly most powerful test.
We also give an introduction to the theory of weak convergence of finite measures, and present these classical results in a more general form than usual. We consider measures on perfectly normal spaces instead of metric spaces, and we consider filters of measures instead of sequences of measures.
Linear regression models are very popular among users as they allow an intuitive interpretation of the dependencies between an outcome variable and explanatory variables. However, to avoid false conclusions from such models, any statistical inference should be backed up by a goodness-of-fit test. These tests check whether the hypothesised class of possible regression functions has been adequately chosen.
In this work, goodness-of-fit tests for univariate linear regression models based on the asymptotic distribution of residual CUSUM processes are studied. In the literature, a distinction is made between random designs and fixed designs when studying such goodness-of-fit tests. We prove that for each of these two scenarios (random and fixed design) there is a corresponding uniform design, we examine similarities and differences between these two scenarios, and prove that, when it comes to goodness-of-fit tests in in linear regression models based on the asymptotic distribution of residual CUSUM processes, one can assume without loss of generality a generic linear regression model.
Furthermore, a geometric interpretation of residual CUSUM limit processes as projections on certain reproducing kernel Hilbert spaces is given, the effect of heteroscedastic regression errors on residual CUSUM limit processes is investigated, and an interpretation of the Khmaladze maratingale transformation as a continuous-time recursive least squares method is made explicit.
Demystifying pairs trading
(2022)
This thesis contributes to the literature on algorithm-based hedge fund strategies with new insights into pairs trading to further demystify the rule-based trading strategy. Thereby, I closely follow the popular trading approach of Gatev, Goetzmann, and Rouwenhorst (2006). After introducing the methodology, the return calculation, and previous academic work, three research questions are investigated to extend the current knowledge of researchers and practitioners about the trading strategy.
Advancing digitalization, the emergence of disruptive technologies, the radically changing customer requirements, or the growing competitive work environment force every organization to re-invent themselves rapidly and constantly and to re-think the relevance of their current business model. In this dynamic organizational environment, companies rely increasingly on their employees’ creativity and need to motivate them to cultivate and drive new ideas and proposals for products and services. At the same time, it is also imperative for organizations to encourage their employees to communicate issues, problems or concerns that might decrease the organizational performance. However, employees might decide to rather withhold their beneficial ideas or relevant concerns, which impedes the enhancement of organizational efficiency or hinders the necessary development of new and improved processes, services or products. This behavior was defined as employee silence, withholding any form of genuine expression from a person that might be able to make a change. Despite the high relevance of employee silence and the growing research body over the last two decades, the relationship of employee silence and innovative behavior has received just little empirical attention in the field of organizational behavior and management sciences. Therefore, the overall purpose of this thesis is to empirically examine the role and relevance of employee silence in the context of disruptive business model transformation. The comprehensive literature review conducted within this thesis demonstrated that silence behavior is a distinct and valid multidimensional construct that is rather complex to measure and therefore also scientifically defiant. The literature review also provides a comprehensive overview of scientific outcomes in the area of organizational and employee silence over the last 20 years. Based on two preliminary qualitative studies (16 expert interviews) in different work settings a structural equation model (SEM) for the empirical investigation was designed by combining the Job Demands-Resources (JD-R) theory and Theory of Planned Behavior (TPB). For the empirical (quantitative) examination, a global survey (n = 4,527) was rolled out in an industrial company undergoing major change initiatives. The main results of the SEM (n = 4,527) demonstrated that job dissatisfaction significantly increased employee silence, whereas work engagement significantly decreased silence behavior. With respect to the direct influential factors causing employee silence, it was also shown that certain job demands (collaboration) and job resources (authentic leadership) significantly influenced the antecedents of silence, even with certain buffering effects. These results also confirmed the dual pathways of the JD-R model and the interaction effects between job demands and resources suggested by the literature. Moreover, the study also revealed that employee silence showed a weak positive, but significant relation to innovative performance. Therefore, the assumption that silence is more than just the absence or opposite of voice could be supported empirically. Within the thesis also potentially fruitful implications for research and practice as well as limitations are discussed.
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.
This study comprises three individual contributions to the research focus on pricing of auditing services. Using German and European data sets, the empirical investigation examines, among other things, how different dimensions of size, possible interactions from a so-called Big 4 premium or fee cutting behavior, as well as different financial risk factors affect the level of auditing services.
The study 'Size effects and audit pricing: Evidence from Germany' shows, among other things, that of those auditors who also provide consulting services for their clients, only Big 4 auditors achieve higher fees for auditing services. Furthermore, the results of the study suggest that the Big 4 premium shown in previous studies for the German market is strongly influenced by a market leader premium. Taking into account the high relevance of company size as a factor in the pricing of audit services, the study also concludes that company size should rather be represented by non-financial variables such as the natural logarithm of the number of employees in order to exclude any interdependencies with other financial variables.
The study entitled 'The Big 4 premium: Does it survive an auditor change? Evidence from Europe' presents new findings on the impact of auditor changes on audit fees, with a special focus on a possible Big 4 premium. This combines the previous research on the Big 4 premium and fee cutting. Matching analyses are used to compare the audit fees of companies that switch to a Big 4 auditor with those companies that switch to a non-Big 4 auditor. As a result, a Big 4 premium can only be shown for those companies that do not change auditors. In the case of a change of auditor, the results show that Big 4 auditors are willing to give up this bonus or even accept a discount on non-Big 4 auditors. This discount usually persists in the first few years. Accordingly, the assumption is that Big 4 auditors are pursuing a "foot-in-the-door" strategy to win new clients. Based on these results, the existence of a Big 4 premium is strongly dependent on the decision of the respective company to change auditors.
The study 'Variation of financial risk over time and the impact on audit pricing' focuses on the consideration of financial risk factors and their development over time. The key assumption of the study is that continuity of relevant financial ratios reduces the risk position of the auditor and should be positively reflected in the audit fees. For companies that do not change auditors, the results show an influence of increased volatility of financial ratios on the level of audit fees. This leads to the assumption that in case of increased volatility in the financial ratios, companies could deliberately not change the auditor in order to send a sign of stability to third parties and, if necessary, accept a premium on the existing auditor's fees. In the case of a change of auditor, however, new auditors could waive a corresponding premium in order to win new clients.
“While each of our individual companies serves its own corporate purpose, we share a fundamental commitment to all of our stakeholders” (Business Roundtable, 2019). With this statement, 181 managers of the Business Roundtable renewed their fundamental view about the purpose of business. This symbolic statement generated a vivid discussion and proved the importance and actuality of addressing organisational purpose as a research topic.
From an academic perspective the discussion about organizational purpose is not new but diverse (Bartlett & Ghoshal, 1994; Basu, 1999; Canals, 2010; George, 1999; Henderson & Steen, 2015; Hollensbe, Wookey, Hickey, George, & Nichols, 2014; Koslowski, 2001; Loza Adaui & Mion, 2016; Porter & Kramer, 2011; Quinn & Thakor, 2018; Sisodia, Wolfe, & Sheth, 2006). There are many overlapping points between the discussion on the organisational purpose and the study of corporate sustainability. Because from a sustainability management perspective, companies are administrated and valued, taking into consideration not only their economic performance but also the ecological and social impact that they generate (Elkington, 1994).
This cumulative dissertation addresses in a broad perspective the overlapping points of the discussion on organizational purpose and sustainability and entails four modules:
Module I: Matthias S. Fifka, Anna-Lena Kühn, Cristian R. Loza Adaui & Markus Stiglbauer (2016) Promoting Development in Weak Institutional Environments: The Understanding and Transmission of Sustainability by NGOs in Latin America. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 27(3), 1091-1122.
Module II: Giorgio Mion & Cristian R. Loza Adaui (2020) Understanding the Purpose of Benefit Corporations: An Empirical Study on the Italian Case. International Journal of Corporate Social Responsibility, 5(4), 1-15.
Module III: Giorgio Mion & Cristian R. Loza Adaui (2019) Mandatory Nonfinancial Disclosure and Its Consequences on the Sustainability Reporting Quality of Italian and German Companies. Sustainability, 11(17), 4612.
Module IV: Cristian R. Loza Adaui (2020) Sustainability Reporting Quality of Peruvian Listed Companies and the Impact of Regulatory Requirements of Sustainability Disclosures. Sustainability, 2020, 12(3), 1135.
Reinforcement learning constitutes a valuable framework for reward-based decision making in humans, as it breaks down learning into a few computational steps. These computations are embedded in a task representation that links together stimuli, actions, and outcomes, and an internal model that derives contingencies from explicit knowledge. Although research on reinforcement learning has already greatly advanced our insights into the brain, there remain many open questions regarding the interaction between reinforcement learning, task representations, and internal models. Through the combination of computational modelling, experimental manipulation, and electrophysiological recording, the three studies of this thesis aim to elucidate how task representations and internal models are shaped and how they affect reinforcement learning. In Study 1, the manipulation of action-outcome contingencies in a simple one-stage decision task allowed to investigate the impact of explicit knowledge about task learnability on reinforcement learning. The results highlight the flexible adjustment of internal models and the suppression of central computations of reinforcement learning when a task is represented as not learnable. Using a similar manipulation, Study 2 investigates how this influence of explicit knowledge on reinforcement learning holds under the increasing complexity of a two-stage environment. Again, pronounced neural differences between task conditions indicate separable computations of reinforcement learning and, more importantly, the selective influence of explicit knowledge and internal models on reinforcement learning. Study 3 uses a novel task design which necessitates inference about plausible action-outcome mappings, and thus, credit assignment. The findings suggest that multiple task representations are neurally conceptualized and compete for action selection, thereby solving the structural credit assignment problem. In sum, the studies of this thesis highlight the importance of reinforcement learning as a central biological principle and draw attention to the necessity of flexible interactions between reinforcement learning, task representations, and internal models to cope with the varying demands from the environment.
Order picking and delivery are integral parts of many supply chains, especially those of retail and online trade. They are mostly non-value-adding, downstream processes, but they are responsible for the majority of logistics costs. Accordingly, the academic literature deals with both order picking and vehicle routing in a diverse and detailed manner. However, a holistic view of both processes is mostly not sufficiently taken into account. The interdependent effects on the operational planning level are only considered to a limited extent since the processes are usually considered isolated or sequential planning is assumed. This thesis examines different order picking and vehicle routing problems. Furthermore, it shows the advantages of integrative planning and develops exact and heuristic solution methods for the investigated problems.
The first paper develops a structural understanding of the subproblems of picking and delivery. In addition, the article illustrates the development of the research branch of integrative order picking and vehicle routing.
Further contributions examine practice-oriented problems in the field of micro-store deliveries (contribution 2), same-day deliveries (contribution 3), and the supply of supermarkets (contribution 4). In each case, different real-world constraints are included and different objectives are addressed. Furthermore, problem-specific integrative solution methods are developed and compared to classical approaches.
Automation technologies and human capital are fundamental drivers of economic growth. The motivation of this thesis is to advance the literature by providing novel insights into the determinants of automation innovation and human capital. For this purpose, this thesis exploits immigration episodes, uses empirical methods for causal inference and introduces new sources of data on immigrants and automation innovation. Chapter 2 and Chapter 3 each examine the relationship between labor endowments and automation innovation. Chapter 4 examines the effects of ethnic concentration on immigrant childrens' acquisition of human capital.
In many countries today, a rising life expectancy and the associated demographic shift, coupled with the advancements of modern medicine, has fueled an ever-increasing cost pressure on healthcare systems. A driving factor for these rising costs can be seen in inpatient stays in hospitals that in many cases are connected to cost-intensive treatments. A central concern of any hospital management in such an environment is therefore to understand how to make the best possible use of available resources. A decisive factor in this regard is the management of bed capacities.
The present cumulative dissertation comprises four contributions, which address
open research questions in the field of strategic, tactical and operative bed planning:
1 Walther, M., 2020. Strategical, tactical, and operational aspects of bed
planning problems in hospital environments. Submission planned to
Social Science Research Network (SSRN)
2 Hübner, A., Kuhn, H., Walther, M., 2018. Combining clinical departments
and wards in maximum-care hospitals. OR Spectrum 40, 679-709
3 Schäfer, F., Walther, M., Hübner, A., Kuhn, H., 2019. Operational
patient-bed assignment problem in large hospital settings including overflow
and uncertainty management. Flexible Services and Manufacturing
Journal 31, 1012–1041
4 Schäfer, F., Walther, M., Hübner, A., Grimm, D., 2020. Machine learning
and pilot method: tackling uncertainty in the operational patient-bed
assignment problem. Submitted to OR Spectrum on 13 February 2020
The first contribution sets out to provide an overview over the different hierarchical planning levels on which bed planning problems may be addressed. It should be noted in this context that several different aspects may be combined under the collective term “bed planning”. These may be delimited in terms of their scope and their planning horizon. A frequently used taxonomy in this context is the hierarchical subdivision of typical problems in health care into strategical, tactical and operational levels as provided by Hulshof et al. (2012). In the context of bed planning, a typical strategical problem is how to combine departments and wards to obtain benefits from pooled ward capacity. On a tactical level, an exemplary problem setting related to bed planning can be seen in devising master surgery schedules that optimize downstream bed occupancy levels as patients returning from surgery will require a bed for post-surgical recovery and monitoring. Finally,
on an operational level, patient-bed allocations need to be optimized while taking the objectives and constraints of patients and medical staff alike into account.
To start, the second contribution deals with the strategical problem of combining departments into groups and assigning pooled ward capacity to these groups with the goal of balancing bed occupancy levels within a hospital. Specifically, one of the underlying goals is to minimize the amount of beds required to meet a predetermined service level. However, merging ward capacities with the aim of simultaneously accommodating patients from different medical departments increases the complexity of organizing and ensuring proper care for these patients. This leads to so-called pooling costs. To tackle this problem, a modeling and solution approach is developed which is based on a generalized partitioning problem and is solved by integer
linear programming (ILP). This enables hospital management to determine the cost-optimal combination of all departments and wards in a hospital, while ensuring that predetermined thresholds with regard to maximum
walking distances for doctors and patients are adhered to.
Once pooled ward capacities are established, the solution space for allocating incoming patients to beds is greatly increased and the underlying allocation problem quickly becomes too complex to be handled without computational support. In this regard the third contribution ties in with the second contribution in that it deals with optimizing the operational patient-bed allocation problem. In order to enable optimal allocation of patients to beds, it is important to identify and take into account the individual needs and
limitations of the three main stakeholders involved, namely patients, doctors, and nursing staff. All of these stakeholders exhibit different and sometimes contradicting objectives and constraints, such that a trade-off has to be made that maximizes the overall utility for the hospital. In addition, the complexity of the problem is increased by the high volatility and uncertainty regarding patient arrivals, types of illnesses, and the resulting remaining lengths of stay of newly arriving patients. In order to address this situation,
a mathematical model and solution approach for the patient-bed allocation problem is developed that is designed to generate solutions for large, real-life operative planning situations. In addition to being able to deal with overflow situations, this solution approach further takes different patient types into account, for example by anticipating emergency patient arrivals.
Finally, the fourth contribution builds on the third contribution in that the modeling and solution approach to allocate patients to beds is extended by several aspects. As mentioned above, hospitals have to deal with uncertainty regarding the actual demand for beds. Here, the fourth contribution improves the anticipation of emergency patients by using machine learning. Specifically, weather data, seasons, important local and regional events, and current and historical occupancy rates are combined to better anticipate emergency inpatient arrivals. In addition, a hyper-heuristic approach is developed based on the pilot method defined by Voß et al. (2005). By combining the improved anticipation of emergency patients with this hyperheuristic approach significant improvements can be achieved compared to the solution approach presented in the third contribution.
Recommending products that are helpful to customers and tailored to their needs is of pivotal importance for successful online retailing. Online purchase data is typically used to generate such recommendations. This dissertation studies two topic models that use purchase data to make product recommendations. The Author Topic Model (ATM) and Sticky Author Topic Model (Sticky ATM) are applied to the purchase data of an online retailer of animal health products, and their predictive performances are contrasted with those of the benchmark methods Unigram, Bigram, and Collaborative Filtering (CF). This work focuses on the generation of new product recommendations. To increase novelty in recommendations, a new pre-processing approach is presented. The data is prepared prior to model application such that more novel products are included in the recommendations. A total of six data preparation variants are tested. The key finding is that topic models are very competitive with the benchmark methods and outperform them with the data preparation variant, where repetitively purchased items (repeat items) and customers with one item transaction (single-item customers) are eliminated from the data. Marketing practitioners should consider this pre-processing when implementing topic models as recommender models in their online shops.
The cumulative dissertation "Optimization models for shelf space allocation in retail stores" consists of the four individual scientific contributions listed below:
1. Düsterhöft, Tobias, Hübner, Alexander and Schaal, Kai (2020): A practical approach to the shelf-space allocation and replenishment problem with heterogeneously sized shelves.
2. Hübner, Alexander, Düsterhöft, Tobias and Ostermeier, Manuel (2020): An optimization approach for product allocation with integrated shelf space dimensioning in retail stores.
3. Ostermeier, Manuel, Düsterhöft, Tobias and Hübner, Alexander (2020): A model for the store wide shelf space allocation.
4 Düsterhöft, Tobias (2020): Retail shelf space planning - Differences, problems and opportunities of applied optimization models.
The planning and best possible utilization of the available shelf space is of central importance for retailers. Shelf space is a scarce resource in stores today. Shelf planners need to determine optimal shelf spaces for each item within product allocation. Researchers have already developed several decision support models. Usually, these models have in common that they can make a decision on the number of facings per product. A facing is a visible sales unit of a product on the shelf. Behind a facing, depending on the depth of the shelf further sales units are located. With an increase in the number of facings the visibility of the product for customers is also increasing, which is associated with a certain demand effect, the so-called space elasticity.
The content of this dissertation are optimization models that extend existing approaches to product allocation significantly and thus also enable a practical application of these approaches. Within the framework of a practical project substantial new contents for the product allocation can be determined. The resulting optimization models build on each other. Initially, in the 1st article the product allocation is extended by an exact consideration of the shelf space dimensions. The resulting question of the optimal shelf layout is the central part of the 2nd article. If the layouts of shelves are determined on the shelf, the total shelf space per category must be known beforehand. This question is dealt with in the 3rd article. Finally, new research fields are identified in the 4th article based on current real processes and requirements.
In this cumulative dissertation, I investigate the relation between the cognitive complexity of work tasks and economic outcomes such as earnings, migration, and aggregate income growth. Existing theoretical and empirical research firmly established that human capital plays a major role in determining these outcomes. However, the literature to date has focused on a limited set of human capital measures, such as education, years of work experience, and basic demographic characteristics, and has largely ignored considerable individual variation attributable to occupational skills. By introducing novel skill measures derived from work tasks and using theoretical models combined with empirical evidence, I demonstrate the determining role played by occupational skills.
The first paper examines the connection between problem solving and lifecycle wage dynamics. I introduce a model of learning-by-doing which relates the intensity of complex tasks to the growth of problem solving skills and labour productivity. Using German administrative data, I find that workers in complex jobs receive static and dynamic wage premia and acquire relatively more human capital throughout life.
The second paper examines the selection pattern of Mexican migrants to the United States and shows that Mexican migrants have lower cognitive skills and higher manual skills compared to non-migrants. Using an extended version of the Roy-Borjas model, I show that differences in the returns to occupational skills explain the selection pattern better than differences in the returns to education and basic characteristics.
The third paper explores the role that complexity plays in economic development. I develop a regional model of endogenous growth which relates aggregate problem solving skills to the rate of technology adoption. In the model, migration costs and spillovers in technology adoption create persistent differences in regional income. By estimating growth regressions, I find that problem solving skills strongly predict per capita income growth in a sample of European regions.
The results collected in the dissertation have implications for economic development policies focused on human capital, projection and analysis of international migration, and evaluating long-term effects of recessions.
This study explores the distinctive patterns of language use in political discourse across selected outer circle (Cameroon and Ghana) and inner circle (US and South Africa) varieties, using a corpus-based approach. More specifically, the research sets out to investigate the use of two types of linguistic features, namely, personal pronouns and kinship metaphors. In a first analysis, I adopt an alternative approach to investigating the use of personal pronouns in political discourse. The approach essentially draws from the cognitive linguistic concept of ‘frames’ as articulated by the theory of frame semantics (Fillmore, 1976, 1977a, 1982, 1985, 2008; Fillmore & Baker, 2010). I use an automatic frame semantic parsing tool, the SEMAFOR parser (Das et al, 2014), to identify the different types of (semantic) frames and frame roles with which specific personal pronouns are instantiated across the four varieties. I then compare the findings to illustrate instances of universality and variation.
In a second analysis, I examine the types of metaphorical conceptualizations which are made using kinship terms across the varieties. Working top-down from conceptual schemas to linguistic instantiation, I identify and compare the frequencies of metaphors from the kinship field and also describe the types of cross-domain mappings typically involved in each of the varieties. My analysis is mostly informed by mainstream cognitive approaches to the study of metaphors, more especially cultural variations in the use of conceptual metaphors (Kövecses, 2002, 2005). I demonstrate that although there is empirical evidence for the use of a kinship conceptual schema across all four varieties, there are however significant variances in the specific metaphorical mappings used to instantiate this high-level conceptual structure.
Both analyses make a case for the fact that in the field of political discourse especially, language use may be structured and constrained by conceptual schemas which themselves are culturally determined.
Within the last 25 years, researchers identified different destructive behaviors of leaders, various outcomes and some major reasons for their emergence. However, the attention given to personality traits in this context does not yet reflect their relevance as excellent predictors of (bad) behavior. Further, the field of Human Resource Management (HRM) could derive valuable measures against destructive leadership, if more was known about the role of managers’ and followers’ ‘bright’ and ‘dark’ personality traits in such situations. Consequently, this dissertation combines research on leadership and three HRM functions (i.e., acquisition, placement, motivation) and, in three separate empirical studies, examines the role of personality traits in explaining destructive management and leadership.
The first contribution is an experimental vignette study on hiring recommendations of Dark Triad supervisors for Dark Triad applicants. Based on the Similarity-Attraction Paradigm, results show that supervisors who are high in Dark Triad traits (i.e., Narcissism, Psychopathy, and Machiavellianism) tend to recommend applicants that also show high levels in those traits. This bias leads to decisions in personnel selection processes that prefer individuals with ‘dark’ traits, which are then likely to result in detrimental actions, e.g. counterproductive work behavior.
The second study introduces the Sensory Processing Sensitivity trait (SPS) into the context of expatriate management. Although SPS is known to relate to positive outcomes, individuals high in SPS tend to be easily overwhelmed and stressed by new environmental stimuli. This study draws on the Conservation of Resources Theory and uses a cross-sectional design to find that the ‘dark’ side of SPS prevails in the expatriate context and that it indirectly and positively relates to expatriates’ turnover intentions via social capital and stress.
In the third study, I examine resistance behaviors of followers when their supervisor exploits them. Based on complementary Person-Supervisor Fit, I expect that there are followers with certain interaction styles (giver, taker, or matcher) that tend to resist in a more constructive way than others do. Using an experimental vignette approach, results show that givers express higher levels of overall resistance caused by an increase in constructive resistance. Takers and matchers show less constructive, but more dysfunctional resistance.
The results of this dissertation shed light on the relevance of ‘bright’ and ‘dark’ personality traits in the context of destructive leadership and management. They suggest various possibilities for HRM to protect the organization and its employees from negative consequences.
This cumulative dissertation consists of five research contributions considering different questions for forecasting price decline events for consumer goods. The main goal of the dissertation is the development of a methodological framework to derive economically beneficial buying recommendations on the basis of historic minimum price time series that support price-sensitive customers in scheduling their buying decisions when purchasing homogeneous goods. The central steps for the development, configuration and application of a suitable forecasting methodology are described in the five research papers. The first article develops a probabilistic forecasting methodology and shows opportunities and challenges when evaluating decision recommendations. Article 2 exemplifies the developed statistical procedure and shows that generated decision recommendations are economically viable using a real sample from the German e-commerce market. The third article discusses the economic and statistical implications when setting a price decline threshold in more detail and shows that the economically optimal threshold can be determined based on the historic minimum price time series. Additionally, an approach is presented that produces precise estimates based on the incomplete time series 90 days after the product’s market entry. Article 4 develops an additional approach to improve target price alarms on price comparison sites. The fifth article extends the methodological spectrum for forecasting price change events and shows that identified dynamics are generalizable over time and product groups. The exploitation of these dynamics leads to more precise and economically relevant buying recommendations.
Today, vehicles already include a wide range of advanced driver assistance systems (ADAS), which will be further developed to specifically address driver needs. Adaptive ADAS present a new form of driver assistance that is based on driver monitoring algorithms and adjusts system parameters according to the driver’s predicted need for support. While it has been suggested that such adaptive systems will improve driving safety and system acceptance, the actual impact of adaptive ADAS on driver behavior and performance remains unclear.
Three studies were carried out to gain knowledge about the potential of adaptive ADAS to minimize the effects of distracted driving while also considering potential adverse behavioral adaptation effects associated with system use. Therefore, this thesis suggests an approach for adaptive forward collision warning (FCW) systems that change warning timing or warning modalities according to driver distraction. Study 1 investigated driver reactions to failures of generic adaptive warning strategies while further examining the influence of awareness on the development of adverse behavioral adaptation. Study 2 extended the approach to a more realistic context and investigated driver reactions to failures of a realistic distraction adaptive FCW system that adjusted warning modalities according to driver distraction in imminent collision situations using a driving simulator. Finally, Study 3 focused on the potential of a distraction adaptive FCW system to induce other forms of adverse behavioral adaptation in terms of riskier driving behavior and increased secondary task engagement. Moreover, in contrast to the previous studies, the presented adaptation strategy in Study 3 was based on a real-time distraction detection algorithm.
In sum, the studies of this doctoral thesis suggest that adaptive FCW systems are generally accepted and have the potential to minimize deficits associated with driver distraction. However, adaptive technologies were found to induce adverse behavioral adaptation in drivers when explicit awareness of system functioning is given. Results demonstrate clear performance and safety impairments for situations in which the adaptive warning strategy fails to present the expected high support. Furthermore, findings show that the mere anticipation of using a distraction adaptive FCW system can adversely affect driving performance. The thesis contributes to traffic research as it provides systematic empirical evidence for the effects of adaptive warnings on driving performance and safety. Both practical implications for the design of adaptive FCWs and methodological implications for future investigations of adaptive technologies based on driver monitoring are discussed.
Glacier retreat due to climate change is significant and well investigated on a
regional scale. Much less is known about local effects, especially in the proglacial
area. This thesis focuses on glacial changes and new methods to tackle the processes
therein. The glacial changes within the catchment of the river Fagge, in the upper
Kaunertal valley, are investigated by combining different direct glaciological, geodetic
and geophysical methods. Alongside long-term monitoring of glacier flow velocities
at adjacent glaciers, the investigation focuses on the glacier tongue of Gepatschferner.
In addition to the direct measurements of the ice motion and the determination of the
surface mass balance, the ice thickness and the thickness of subglacial sediments is
measured with vibroseismic soundings. Changes in total area, elevation and volume
are calculated from multiple high-resolution digital elevation models from airborne
laser scans. These detailed glaciological investigations are part of the joint project
PROSA, which focuses on the geomorphodynamics of the entire proglacial system
and aims at balancing the sediment budget therein.
The presented cumulative doctoral thesis consists of three publications and additional
results from the glaciological part of PROSA. This includes long-term
monitoring of glacier flow velocities (Paper 1), detailed investigations of the process
development of a surface depression at the tongue of Gepatschferner (Paper 2), and
an approach at closing the balances of ice, water and sediments on the glacier tongue
(Paper 3).
It turned out that the formation of circular and funnel-shaped surface depressions
occurs as a consequence of increased glacier retreat rates. Additionally, the process
of the depression development in turn increases the retreat rates. This exemplary
development was caused by the evacuation of subglacial sediments after a heavy
precipitation event and by decreasing glacier dynamics as a result of negative glacier
mass balances. Beside the mass balances, the horizontal motion and especially the
vertical motion of the glacier provide valuable information on the glacier state, such
as measured in the long-term program on Kesselwandferner. The magnitudes of the
mass exchanges showed the influence of extreme events, which exceed mean daily
and even annual turnovers, as well as the role of the melt water production at the
glacier tongue of Gepatschferner and its severe effect on the glacial runoff regime of
the river Fagge.
This dissertation comprises three individual essays which can be grouped under the banner of “Financial Intermediation”. In the first essay it is analyzed whether there are persistent differences in the performance of different CLO managers in the presumably information inefficient market for syndicated loans. The results suggest that greater management skills are reflected in higher risk-adjusted returns. Moreover, CLO managers seem to profit from private information captured through their affiliation to private equity firms invested in the equity of the firms which debt the CLO holds. This is one of the results of the second paper in which also a clear preference for “own debt” is found for the very first time. This finding has broader implications also for the borrowing costs which shrink through the demand pressure affiliated CLOs create thereby creating incentives for higher levels of debt. In the third article the reaction of socially responsible investment (SRI) stock funds to changes in corporate social responsibility as measured by changes in the constitution of the Dow Jones Sustainability Index relative to conventional funds is analyzed. The results raise doubt on the SRI label: The reaction to index changes is no different for SRI funds than for conventional ones. Furthermore, neither the label nor the average ESG rating are valid predictors for the reaction to changes in the index.
Performance monitoring is a key function of human cognition and critical for
achieving goal-directed behavior. In recent years, research has particularly focused
on how the brain detects and evaluates behavioral errors. Most studies investigated
two neural correlates of performance monitoring in the human scalp EEG. In
particular, the error-related negativity (Ne/ERN) is a negative fronto-central deflection
observed immediately after an erroneous response, representing an early and
unconscious stage of error processing. The Ne/ERN is followed by the later error
positivity (Pe), a broader positivity viewed as a correlate of conscious error
processing. Whereas a large amount of research has been conducted on these
neural correlates, fundamental questions on their relationship remain. Crucially, it is
still unclear whether both components represent functionally independent processes
of error monitoring or whether the two components are part of a single mechanism.
The first possibility implies that the earlier Ne/ERN provides the basis for the later
emergence of the Pe and error awareness in a cascade-like architecture of error
monitoring. The other possibility is that the Pe and error awareness can emerge
independently of the Ne/ERN, which implies that different error monitoring
mechanisms exist and may proceed independently. The thesis addresses the
important question whether Ne/ERN provides necessary information for error
awareness and Pe. To this aim, behavioral and psychophysiological studies were
conducted:
(1) In a first part, we investigated whether Ne/ERN and Pe are causally related
(study 1). We developed a novel experimental paradigm based on the classical letters flanker task. In this paradigm, participants have to classify targets but ignore
irrelevant distractors (flankers) that are always associated with an incorrect
response. Targets but not flankers are masked with varying target-masking intervals.
On some trials, no target at all is presented, thus preventing the representation of a
correct response. Importantly, the lack of a representation of the correct response
also prevents the emergence of Ne/ERN. However, because flankers are easily
visible and responses to these flankers are always incorrect, conscious detection of
these flanker errors is still possible. The presence of a Pe in the absence of Ne/ERN
for flanker errors provides evidence for independent error monitoring processes.
(2) In a second part, we investigated whether the Ne/ERN and Pe are
differentially sensitive to temporal aspects of conscious error detection. Whereas the
Pe is assumed to be the earliest correlate of the emergence of conscious error
perception, participants often report the feeling of having detected an error even
before the erroneous response was actually executed (“early error sensations”). The
first goal of this part was to investigate whether such anecdotal evidence can be
measured empirically. In study 2, a series of behavioral experiments using different
methodological procedures were conducted. Participants during choice tasks have to
report whether errors were accompanied or not by early error sensations (i.e. early
and late detected errors) or give confidence judgments about early error sensations.
Participants frequently reported early errors with high level of confidence.
Subsequently, we studied how error-related brain activity reflects the emergence of
early error sensations. In study 3, we measured EEG activity and compared early
and late detected errors. Results showed that while the Pe reliably reflects the early
error sensations (larger amplitude for early errors), the Ne/ERN does not (no
differences between early and late errors). Crucially, the Ne/ERN and the Pe
responded differently to temporal aspects of error awareness, meaning that Ne/ERN
and Pe could rely on different types of information for error detection. This again
speaks for the idea of independent systems of error monitoring.
This dissertation endeavours to bring together already formulated and future starting points in the research of wisdom-oriented management. While modules I and II focus on practical wisdom with regard to corporate sustainability, module III focuses on the concept of practical wisdom with regard to decision-making processes in companies. Module IV provides the fundamentals of business ethics and wisdom-oriented thinking in relation to management education.
This dissertation comprises three empirical essays on corporate social responsibility (CSR). The first essay critically assesses an empirical quasi-experiment based on the Russell 1000/2000 index assignments. The second essay investigates the effects of institutional investors on CSR. The third essay finds that ESG risks are associated with negative long-run stock returns. Collectively, the three essays provide evidence that CSR increases shareholder value if CSR prevents incidents.
This cumulative dissertation deals with a systematic review of experimental service research over four decades and the cause-and-effect relationships within social media recovery. In total, the dissertation comprises three articles:
1) Albrecht, K. (2016): Understanding the Effects of the Presence of Others in the Service Environment – A Literature Review, in: Journal of Business Market Management, Vol. 9, No. 1, p. 541-563 (VHB-JQ3:D).
2) Hogreve, J. / Bilstein, N. / Hoerner, K. (2018): Service Recovery on Stage: Effects of Social Media Recovery on Virtually Present Others, revise and resubmit (2nd round) to Journal of Service Research (VHB-JQ3:A) in July 2018.
3) Hogreve, J. / Matta, S. / Hoerner, K. (2018): Cause and Effect: A Systematic Review of Four Decades of Experiments in Service Research, to be submitted to the Journal of Service Research (VHB-JQ3:A).
The first article is a literature review of existing research on the effects of the presence of others in the service environment. Through a systematic literature analysis three context factors could be identified, which significantly influence the interaction between customers in the service environment (online/offline). The second article examines the effects of a specific form of indirect customer interaction by means of several quantitative studies: The effects of customer complaints and subsequent service recovery in social media on virtually present others. The third article presents the current state of experimental service research over a period of four decades by means of a systematic literature analysis and identifies research gaps that should be addressed by future research.
This study deals with the life story of Jacob of Sarug (A.D. 451-521) and the various typologies of the Church scattered in his copious mimre. Jacob of Sarug is one of the most prolific, distinguished, and influential Syriac authors, yet a systematic examination of his symbolic language referring to the Church remains a desideratum. The following research satisfies this want which stems from the fact that the Church is next to Jesus Christ in importance, as her subject is prominent in Jacob's poetic works. The work presented herein complements and contributes to the scholarly works already published in the theological field of Syriac Ecclesiology. Moreover, it is a foundational study for further researchers and theologians wishing to investigate Jacob’s comprehension of the Church.
This study shows that the question about the person of Jacob of Sarug shall remain unsatisfactorily answered, for his life stories discovered in extant manuscripts are hagiographical. Next, it reveals the Church as a building on Golgotha based on the actions of Melchizedek, Abraham, Jacob, and Moses. Then, it explains Jacob's depiction of the Church as a fisherman and life-giving fishnet. Next, it deals with the topic of the Church as the Garden of Eden on Earth in whose midst is the Tree of Life. Lastly, this study explicates the notion of the Church as the Virgin Bride of Christ.
The Church as such emerges as a permanent reality solidly founded on the cross, a sacramental and missionary Church, and sacrifice is central to her understanding. The Mysteries and the proclamation of the Good News are essential to the continuation of her Lord's mission. Moreover, she is a return to the Garden of Eden which anticipates God's promise of salvation in the afterlife.
Finally, Christ will always be united to her no matter what, for she is in effect his created body. Therefore, she remains with him wherever he is, and her actions mimic his deeds. She follows him to Sheol, breaks down its gates, frees Adam, resurrects with her Lord, is victorious over sin and death, and nothing overcomes her.