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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.
This cumulative dissertation explores the role of cultural values in sustainable innovation, and it consists of four papers:
1. Zhu, B., Habisch, A. & Thøgersen, J. (2018). The Importance of Cultural Values and Trust for Innovation- A European Study. International Journal of Innovation Management, 22(1), 1850017; First Online: 5 June 2017, doi: 10.1142/S1363919618500172
2. Habisch, A. & Zhu, B. (2017). Cultures as Determinants of Innovation- An Evidence from European Context. ABAC Journal, 37 (1), 1-11.
3. Zhu, B. (2016). Consumer’s Motivation, Opportunities and Abilities for Sustainable Consumption: A Case in China. uwf UmweltWirtschaftsForum, 1/ 16, DOI 10.1007/s00550-016-0423-6
4. Zhu, B. & Habisch, A. (under review). Farmers’ Engagement in Organic Farming Practice: An Application of the Motivation-Opportunity-Ability (MOA) model in Southern China. Eingereicht bei: Journal of Cleaner Production
This dissertation provides updating findings to innovation studies, which explicitly underpins the role of cultural values in sustainable innovation from Macro and Micro perspectives. The first two papers discussed cultural values at a Macro level while the third and fourth papers revealed the impact of cultural values on adoption of sustainable innovation at a Micro level specifically from consumer and producer perspectives.
"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.
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.
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.
This cumulative dissertation consists of five contributions considering different research questions in the field of multi- and omni-channel retailing and retail logistics.
The first contribution provides an overview of the areas of multi- and omni-channel retail logistics which have already been explored up to and including the year 2015. The focus is on empirical research published in academic journals. The findings are used to derive future areas of research which are addressed in the remainder of this dissertation.
The focus of the contributions 2 and 3 is on retailing with non-perishable goods (non-food retailing). On the one hand, the transition from a channel-specific and thus separated multi-channel logistics system towards a channel-integrated omni-channel logistics system is described and analyzed (contribution 2). On the other hand, retailers who have put time and effort into the integration of their sales channels are striving to use their integrated channels as best as possible, too. Because of the higher sales generated by customers on multiple channels, retailers steer their customers through the channels and use specific methods for order processing and logistics to their advantage (contribution 3).
Contributions 4 and 5 are especially concerned with food retailing on multiple distribution channels. On the one hand, a framework for the delivery of grocery on the last mile to the customer is presented (contribution 4) and on the other hand a supply-chain-wide perspective is taken in order to pinpoint logistics networks and network structures for different geographic regions and order volumes in omni-channel grocery retailing (contribution 5).
With this cumulative dissertation unexplored research in the field of multi- and omni-channel retail logistics is addressed. The overall contribution of this work is to analyze and solve challenges faced by retailers in terms of logistical integration and handling of multiple channels. Both the retail context (food and non-food) as well as a specific topic within this context are focused. In addition, value is added for practitioners in retail enterprises by depicting concrete recommendations in each of the individual contributions. By publishing in international academic journals the research results are made accessible to a broad readership and thus help to understand and solve logistical challenges in dealing with multiple channels in a retail company.
Sustainable food supply
(2024)
The present cumulative dissertation was written from 2020-2023 at the Professorship of Christian Social Ethics and Social Policy at the Business Faculty of the Catholic University of Eichstätt-Ingolstadt. All papers in this dissertation represent independent contributions to scientific journals in the fields of Sustainable Consumption, Sustainable Food, and Sustainable Consumer Behavior. They examine consumer behavior regarding sustainable food by analyzing various factors that influence consumers’ decision-making.
Paper I: Winterstein, J., & Habisch, A. (2021). Organic and local food consumption: A matter of age? Empirical evidence from the German market. ABAC Journal1, 41(1), 26-42.
Paper II: Winterstein, J. (2022). Nudging and Boosting towards Sustainable Food Choices–A Systematic Literature Review of Cognitively Oriented Measures. Products for Conscious Consumers: Developing, Marketing and Selling Ethical Products1, 113-132. https://doi.org/10.1108/978-1-80262-837-120221014
Paper III: Winterstein, J., Frank, F., & Habisch, A. (2024) Desire for exploration beats price: Empirical study on customer motives for using digital monetary food sharing platforms. International Journal of Innovation and Sustainable Development1,2. DOI: 10.1504/IJISD.2023.10055067
Paper IV: Winterstein, J., Zhu, B., & Habisch, A. (2024). How personal and social-focused values shape the purchase intention for organic food: Cross-country comparison between Thailand and Germany. Journal of Cleaner Production1,3, 434, 140313. https://doi.org/10.1016/j.jclepro.2023.140313
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.
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.
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.
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.
The Tarim River, located along the northern and eastern borders of the Taklamakan Desert in Xinjiang, Northwest China, is about 1320 km long and thus one of the longest continental inland waterways in the world. In an undisturbed state, it is accompanied on both sides by floodplain forests of Euphrates Poplar (Populus euphratica Oliv.), also known as “Tugai Vegetation” or “Tugai Forests”. These forests form typical desert riparian forests as the so-called “Green Corridor” and prevent the two deserts, the Taklamakan and the Kuruk-Tagh, from merging together. At present, large areas that were originally P. euphratica riparian forests have disappeared, with the remaining areas in critical condition. Specifically, the greatest threats over the past few decades have been the rising water consumption in the upper and middle reaches and massive hydro-technical interventions (construction of embankments and dams) in the development of uncultivated land (including the direct clearance of forests) for cotton production. These have led to widespread destruction of the natural ecosystems, particularly in the lower reaches of the river where about 320 km of the floodplain forests are either highly degraded or dead as the result of nearly 30 years of river desiccation. As a consequence of these deteriorations, land desertification has been aggravated and has expanded in the region. Because of the challenges facing this ecosystem, restoration measures with the diversion of “Emergency Ecological Water” have been implemented in the affected areas since 2000. This new process of recovery measures needs efficient and extensive long-term monitoring. In this thesis, current restoration measures as implemented to date are presented and hydrological dynamics as a function of water diversion are analysed. The structure, distribution and health statues (referred to as “vitality”) of the dominant species Populus euphratica have been monitored by measuring Eco-morphological parameters of more than 5000 trees in two sampling sites (a 100-ha permanent plot and five random sampling plots of 50-m radii) at Arghan village in the lower reaches of the Tarim River in the Xinjiang Uyghur Autonomous Region of China. The effects of restoration measures on the revitalization of degraded trees have been analysed and assessed by using individual-based repeated measurements of the tree data. From a long-term point of view, and taking labour intensity and the high cost of tree height measurements into account, a suitable height-diameter model for obtaining the tree height (TH) of P. euphratica based on the diameter at breast-height data (DBH) has been developed and evaluated. The average annual groundwater depth within 300 m of the river channel at different transects (Yingsu, Karday, Arghan) recovered significantly after a second water diversion in 2001. The same rising trend in groundwater level was retained until 2004, started to decline until 2009, and then rose again until the end of the water diversion in 2011. The Mann-Kendall statistical trend test was applied to the mean monthly and annual groundwater depth of six groundwater wells at different distances from the river on the Arghan transect. The trend test for the whole time series period from 2003 to 2011 indicated that there was a statistically significant decreasing trend for all wells, but that from January 2010 to December 2011 the groundwater level in all wells had a statistically significant increase. With the exception of a relatively favourable groundwater depth for floodplain forests within a 150 m distance of the riverbed, the groundwater depth at larger distances remained far below 5 m, causing most forest plants (with the exception of the Tamarix sp.) to suffer from water scarcity. Analyses of forest structure, distribution and health status suggested that a maximum TH of 19 m was found within 0-20 m and 100-200 m of the river. By contrast, a maximum DBH of 126 cm was found within 500-600 m of the river. Trees with a TH of over 15 m and a DBH of over 60 cm appeared sporadically. The maximum CD (crown diameter) of 16.58 cm (one tree) was found next to the river bed. There was a relatively great variation in DBH when compared to TH and other eco-morphological parameters. On average, stand structure tended to be simpler as distance from the river increased. Trees classified as healthy and good accounted for approximately 40 % of all sample trees, with slightly and highly degraded trees representing nearly 60 %. Some of the eco-morphological parameters of the trees vary differently with respect to the ecological water diversion measures. In particular, in the vertical (north-south) direction, the farther the trees are from the river, the weaker the response of ecological indicators. These parameters include: tree vitality classes (VS), crown diameter (CD), height to crown (HC), frequency of root suckers, number of young seedlings, and shoot growth, as well as newly developed crown types of P. euphratica trees. Generally, the floodplain forests within 200 m of the riverbed recovered remarkably, and those between 200 and 800 m from the river showed a medium response to the water transfer, while forests further than 800 m away from the riverbed showed lesser signs of recovery. Following the evaluation and comparison of the results from ten commonly used models by means of multiple-model performance criteria (such as asymptotic t-statistics of model parameters, standardized residuals against predicted height, the root-mean-square error (RMSE), Akaike’s information criterion (AIC), mean prediction error (ME) and mean absolute error (MAE)), Model (1): TH=1.3+a/(1+b×e^(-c×DBH)) and Model (6): TH=1.3+DBH^2/(a+b×DBH+c×DBH^2) are recommended as suitable choices for approximating the height-diameter relationship of P. euphratica. The limitations of the other models, resulting in poor performance for predicting TH accurately, are also 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.
Cognitive control processes enable humans to break out of reflexive stimulus-response chains and to align their behavior towards self-imposed goals. Despite decades of research on the nature of these processes, they remain a complex and only partly comprehensible fabric of interactions and interdependencies. Three electroencephalographic studies aimed to increase knowledge about cognitive control by utilizing error precursors – neural activity preceding the occurrence of performance errors. Study 1 used error precursors to separate two preparatory control processes of a task-switching paradigm and to investigate their relative contribution to the emergence of task confusions. The results highlight the importance of general preparation in the form of cue encoding but also demonstrate how switch-specific preparatory activity can affect the selection of the currently relevant task set. In Study 2, preparatory processes were examined in the more complex environment of a dual-tasking paradigm. Distinct error precursors for the respective subtasks and a neural correlate of task order switches that is independent of these provide evidence for a multi-level system of control processes with advance prioritization of subtasks in dual-tasking. Study 3 finally focused on reactive control – adjustments to neural activity and behavior following unfavorable outcomes such as performance errors. Here, error precursors serve as a prerequisite to answer the question of adaptivity of post-error adjustments in visual search. The results confirm that a post-error reduction of target localization activity serves to attenuate a potential error source in this paradigm. In summary, the three studies of this doctoral thesis contribute to understanding the complex system of control processes by providing evidence for accounts that suggest well-established knowledge about control processes to be reconsidered in light of more fine-grained differentiation of the underlying subcomponents.
This dissertation comprises three empirical studies on corporate social responsibility (CSR). The first study examines how an exogenous increase in agency problems affects CSR investment decisions. The second study examines whether the value relevance of CSR reporting is affected by customer profile differences. The third study examines how national culture shapes several fundamental corporate decisions determining the credibility of CSR reports. Collectively, the three studies provide novel and holistic evidence on why managers pursue CSR.
1. Steindl, T., Hellmann, A. and Goettsche M. 2017. Building a social empire? Managerial preferences, shareholder litigation, and corporate social responsibility. Working Paper.
2. Goettsche, M., Steindl T. and Gietl S. 2016. Do customers affect the value relevance of corporate social responsibility reporting? Empirical evidence on stakeholder interdependence. Business Strategy and the Environment 25(3): 149-164.
3. Steindl, T. 2017. Cultural rule orientation, legal institutions, and the credibility of corporate social responsibility reports. Working Paper.
This case study aims to identify, inventory and classify existing and potential tourism resources in Iraq al-Amir and its surrounding areas, which could be used as baseline data by decision-makers for future tourism development to develop, promote, and market the area. Additionally, it uses evaluation criteria to identify potential tourism resources, in order to determine suitability and likelihood of success if development does take place. Three distinct tourism segments are considered: cultural heritage, nature-based, and agritourism.
Study findings are primarily based on qualitative methodology, in the form of interviews and field observations. Quantitative methodology was used to extract some of the data from maps of the case study area, as data for some of the criteria was not provided by the respondents. Analysis of the data confirms that Iraq al-Amir and its surrounding areas have abundant potential tourism resources for all three of the tourism segments analysed, particularly in terms of diversification.
Findings reveal that the case study area has inadequate basic infrastructure. A major drawback to the feasibility of future tourism activities is the lack of easy access. The main access road is narrow and very winding, but it would be possible for visitors to use three existing alternative roads to access the area if they were upgraded and signposted. The lack of infrastructure is a direct result of ineffective coordination and cooperation among stakeholders, from both the public and private sectors, together with complicated regulations and laws, which has limited the extent to which the local community tourism is able to benefit from development and investment opportunities which a strong tourism industry could potentially provide.
Conclusions from the case study affirm that Iraq al-Amir and its surrounding areas are suitable for tourism development, due to its diverse range of attractions, one of the major factors relating to successful tourism. Diversity of attractions is a key motivation for tourists to visit a destination. Without attractions, there is no need to supply facilities and services. Potential facilities and services provided for tourist related activities could also be used by the local population, thus significantly improving quality of life in the case study area, which currently lacks such infrastructure.
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.
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.
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.
The essays of the cumulative dissertation are concerned with the topic of retail shelf-space optimization.
Increasing product proliferation as well as decreasing space productivity force retailers to efficiently use the limited retail shelf space and assign the right shelf quantities to products they offer to customers. Optimization models support retailers with these decisions.
The first essay analyzes how demand volatility can be integrated into shelf-space optimization models. The developed optimization model furthermore accounts for space- and cross-space elasticities as well as vertical shelf positions. A specialized heuristic solves the model efficiently and returns near-optimal results. The second essay builds on the optimization model developed in the first essay and conducts extensive numerical analyses to examine the impact of cross-space elasticities on optimal shelf quantities. The essay shows that cross-space elasticities have a negligible impact on space decisions. Therefore, the complex measurement as well as the development of corresponding optimization models are of minor relevance for future research.
The third and fifth essay extend the optimization model from the first essay by integrating adjacent decision problems. The third essay accounts for the assortment decision, i.e., supports retailers in selecting the products to offer. Apart from space elasticities, the model accounts for substitution behavior in case items are unavailable and shows that both demand effects reinforce each other, which is why they should be accounted for simultaneously. The fifth essay shows how retails can furthermore guarantee the efficient replenishment of shelves and examines the impact of the availability of a backroom on optimal shelf quantities.
The fourth essay improves the algorithm developed for the optimization model from the third essay. The improved heuristic yields higher retail profits in shorter runtime.
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.
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.
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.
Tourism studies have understood tourism as a “Western” phenomenon, which tended to neglect the presence of “non-Western” tourists and to over-generalise the application and universality of their theories. By now, tourism has become a global phenomenon with growing numbers of “emergent tourists”, especially from China. However, its quantitative importance, the touristic performances of this source market, and especially those of Chinese outbound organized mass tourists in western tourism stages continue to be under-researched. Moreover, the analysis of the Chinese outbound tourism phenomena encompasses mostly economic and business driven-studies and reports, which look for homogeneity instead of plurality of voices.
Drawing from all of the above, the aim of this interdisciplinary research is, therefore, to explore and provide further understanding of the tourism performances of Chinese outbound organized mass tourists on German tourism stages. To achieve this, the research draws on the performance approach in tourism research.
The research is based on a phenomenological approach. Part of the study’s field research was conducted largely from 2011 to 2012, both in China and Germany. In China, information was gathered by using open and semi-structured in-depth expert interviews with representatives from the Chinese tourism industry, tourism boards, as well as with tourism academics. In Germany, the ethnographic fieldwork consisted of participant observations, semi-structured interviews and short questionnaires to Chinese outbound tourist members of group package tours organized by Chinese-German travel companies. Furthermore, expert interviews were conducted with German industry representatives, experts and academics in 2013. As far as the analysis of the field research is concerned, the study relies on the GABEK qualitative method of research analysis supported by the WinRelan 32 software.
As part of the discussion, this research argues that the examination of tourism practices and behaviours of Chinese outbound organized mass tourists under the performance metaphor is able to provide further understanding on the previously neglected tourism consumption of “non-Western” tourists. Within the findings, it was possible to identify both modern und post-modern characteristics of the Chinese outbound organized mass market. This concurs with the recent de-differentiation between the typical tourism binaries (everyday-holiday and home-away) found in tourism theory by acknowledging that everyday conventions and habits inform touristic performances of Chinese tourists in Germany. Moreover, the research presents insights that allow to corroborate the future presence of organized mass tourists in the Chinese outbound market, as well as to de-inferiorise and de–homogenise the segment. With regard to German stages, the research highlights the opportunities and challenges Germany´s tourism industry still has ahead of it. Finally, the study presents a number of implications for future practice, which can be useful to plan a long-term strategy for Chinese outbound tourism.
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.
The essays of the cumulative dissertation are concerned with the distribution in retailing with multi-compartment vehicles.
An effective distribution planning is a central aspect for the success of retailers. Due to a highly competitive market, retailers are forced to constantly optimize processes along the supply chain to satisfy the given requirements. On the one hand, customers expect the constant availability of various products while asking for high quality. On the other, an ever increasing pressure on prices exists. The involved logistic processes therefore need to be highly efficient to fulfil the given requirements. An important part plays thereby the distribution of goods to stores, where consumers are supplied. Here, multi-compartment vehicles offer a variety of new possibilities for distribution. The core attribute of multi-compartment vehicles is the simultaneous delivery of different temperature zones with the same vehicle. Besides the new options that therefore open up for distribution, further processes and costs incurred by the use of multi-compartment vehicles need to be taken into account.
The first essay presents the basic attributes of multi-compartment vehicles as well as the differences to processes with single-compartment vehicles. The distribution with both single- and multi-compartment vehicles is illustrated and the differences are discussed. Further, the essay discusses current literature for the distribution with multi-compartment vehicles in retailing. Based on these findings, a formal model for the distribution with multi-compartment vehicles is presented in the second essay. The model considers cost and process differences, especially for loading and unloading actions. The use of multi-compartment vehicles is analysed and saving potentials revealed, using the model and a tailor-made solution approach. The remaining essays (essays 3, 4 and 5) further extend the introduced model to consider additional aspects relevant in practice. More precisely, the third essay considers the optimal fleet mix if both single- and multi-compartment vehicles are available for distribution. The fourth essay identifies loading restrictions if multi-compartment vehicles are used and presents an innovative solution approach to address the arising problem and which enables a distribution planning without loading and unloading problems. Finally, the concluding essay (essay 5) extends the discussed planning problem for multiple periods. In particular, it examines the impact of consistent deliveries for all considered product segments across the complete planning horizon.
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.
This dissertation consists of three articles that point out new perspectives on customer experience in service recovery, and that enrich the current state of research through considerable efforts to better understand customer responses to service failure and recovery:
1. Hogreve, J., Bilstein, N., & Mandl, L. (2017). Unveiling the recovery time zone of tolerance: when time matters in service recovery. Journal of the Academy of Marketing Science, doi: 10.1007/s11747-017-0544-7, 1-18.
2. Mandl, L. (2017). Customer conflict styles in service recovery: an empirical analysis. In Buettgen, M. (Ed.), Beiträge zur Dienstleistungsforschung 2016 (pp. 97-113). Wiesbaden: Springer.
3. Mandl, L., & Hogreve, J. (2017). The buffering effect of brand community identification in service failure episodes: the role of customer citizenship behaviors. Paper currently under review at the Journal of Business Research.
The first article takes a new perspective on recovery time and compensation, which service research commonly describes and investigates as two independent service recovery strategies. In contrast, this article discovers and specifies a direct link between recovery time and customers’ compensation expectations about service failures.
The second article presents a new perspective on measuring customer responses to inadequate service recovery. Based on conflict theory, this study conceptually develops and empirically tests a model that examines a broad range of different customer responses to service recovery instead of solely measuring customers’ satisfaction with service recovery.
The third article provides a new perspective on the role of close relationships in service recovery. Whereas most research focuses on the impact of strong customer-firm relationships on customer responses to service recovery, this is the first empirical study to investigate the role of strong relationships in a service recovery and brand community context.
Modeling ETL for Web Usage Analysis and Further Improvements of the Web Usage Analysis Process
(2006)
Currently, many organizations are trying to capitalize on the Web channel by integrating the Internet in their corporate strategies to respond to their customers’ wishes and demands more precisely. New technological options boost customer relationships and improve their chances in winning over the customer. The Web channel provides for truly duplex communications between organizations and their customers and at the same time, provides the technical means to capture these communications entirely and in great detail. Web usage analysis (WUA) holds the key to evaluating the volumes of behavioral customer data collected in the Web channel and offers immense opportunities to create direct added value for customers. By employing it to tailor products and services, organizations gain an essential potential competitive edge in light of the tough competitive situation in the Web. However, WUA cannot be deployed offhand, that is, a collection of commercial and noncommercial tools, programming libraries, and proprietary extensions is required to analyze the collected data and to deploy analytical findings. This dissertation proposes the WUSAN framework for WUA, which not only addresses the drawbacks and weaknesses of state-of-theart WUA tools, but also adopts the standards and best practices proven useful for this domain, including a data warehousing approach. One process is often underestimated in this context: Getting the volumes of data into the data warehouse. Not only must the collected data be cleansed, they must also be transformed to turn them into an applicable, purposeful data basis for Web usage analysis. This process is referred to as the extract, transform, load (ETL) process for WUA. Hence, this dissertation centers on modeling the ETL process with a powerful, yet realizable model – the logical object-oriented relational data storage model, referred to as the LOORDSM. This is introduced as a clearly structured mathematical data and transformation model conforming to the Common Warehouse Meta-Model. It provides consistent, uniform ETL modeling, which eventually supports the automation of the analytical activities. The LOORDSM significantly simplifies the overall WUA process by easing modeling ETL, a sub-process of the WUA process and an indispensable instrument for deploying electronic customer relationship management (ECRM) activities in the Web channel. Moreover, the LOORDSM fosters the creation of an automated closed loop in concrete applications such as a recommendation engine. Within the scope of this dissertation, the LOORDSM has been implemented and made operational for practical and research projects. Therefore, WUSAN, the container for the LOORDSM, and the LOORDSM itself can be regarded as enablers for future research activities in WUA, electronic commerce, and ECRM, as they significantly lower the preprocessing hurdle – a necessary step prior to any analysis activities – as yet an impediment to further research interactions.
“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.
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.
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.
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.
Many companies use reusable containers to store and transport products. Under good conditions this can help to reduce costs and improve the ecological footprint of logistic operations. On the other hand, the acquisition, maintenance and distribution of the containers need to be organised.
The aim of this thesis is to provide mathematical models for planning transports and capacity adaptations in a container system. First, the main characteristics of this type of system and the planning tasks are analysed. A key characteristic of container transports is identified: containers can often be moved in larger quantities on the same vehicle, so that transport costs should not be regarded as linear but increasing stepwise with the number of vehicles employed. Hence, the costs represent a fixed-step function of the quantity.
It is shown that extensive literature is available concerning related topics. Mathematical models already exist, which allow for some of the facets of transport and capacity planning that are important for reusable containers. However, these approaches never cover all relevant aspects. Some are missing completely; among them the challenge to model fixed-step transportation costs.
To get a flexible, yet mathematically tractable modelling, a toolbox with two basic models and multiple add-ons was developed. These can be combined to reflect a certain application. The first basic model considers linear transport costs. It can be reduced to the well investigated minimum cost flow problem which is known to be solvable in a very efficient manner. To consider fixed-step transport costs, another basic model was proposed. This is a more complex mixed integer program. It can be solved by a tailored branch-and-cut approach, which combines the positive characteristics of a heuristic and an exact solution algorithm: it provides a reasonable and feasible solution quickly and reaches the optimum solution in the end. The model add-ons include the aspects of lost orders, delayed deliveries and take-along transports as well as two capacity measures, namely purchase and disposal of containers as well as leasing. All of these extensions can be integrated into both basic models, still preserving their mathematical characteristics.
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.
The main objective of the conducted research was to learn and broaden the boundaries of our knowledge in regard to regional cluster policy making. Particularly the interest was in the influence of clusters and cluster policy on the pattern of economic development in the region. From the reviewed theories (Classical, Keynesian, Export-based, Neo-classical, Endogenous, New Economic Geography, Growth-pole, Location, Central place, Institutional) the factors influencing economic growth were extracted and discussed. Within these different approaches it was claimed that clusters, defined as agglomerations of firms and other related institutions in a particular sector which not only show close physical proximity but also collaborate and herewith, building an economy based on clusters, can strengthen its overall competitiveness, innovativeness and lead to economic growth. Under certain favorable conditions clusters develop and grow naturally. At the same time the growth of these economic structures can also be stimulated from the side by cluster policy. As these policies were implemented, they were showing different results, which increased the interest in the analysis of cluster based policies, its types and effects on the territorial development. Within such a vast research on cluster policy the research opportunities in 1) The character and influence of cluster policy making/ management on the economic performance and clusters and 2) Extending such research areas as: long term evolution of cluster policy, policies embeddedness in territorial context, systematization of policy recommendations setting the overall research question on how to build cluster policy leading to economic development, specifically focusing on long-term evolution of cluster policy development, the components of effective cluster policy making and its implications on the regional economic development. The above research questions were addressed while referring to following the qualitative approach by the application of the multiple (two) case study method. We follow the replication approach to multiple case study by exploring our research question in similar contexts and herewith strengthen the justification of our findings. The following two regions were selected: The Basque Country, an autonomous community in Spain, and Upper Austria, a federal state in Austria. As a result of the performed research study we have gathered valuable and in-depth information on clusters and cluster policies in the regions. Through this we enriched the knowledge on cluster policy from both a theoretical and a practical perspective.
The theories of design patterns and their practical implications exemplified for e-learning patterns
(2013)
Patterns are an efficient and successful way to capture best practices and access the tacit knowledge of experts. While the basic concept of patterns is simple and applicable in various domains there are many gaps in understanding the deeper meanings of the approach. This work will explore the nature of patterns and pattern languages by discussing the state-of-the-art, linking the pattern concept to its original ideas and develop a theoretical framework to understand the relations and differences between patterns in the world, patterns in our heads and pattern descriptions.
The common ground for patterns is to capture the context, problem, conflicting forces, a generative solution and the consequences in written form. To discuss the meanings of these analytical perspectives a path metaphor will be introduced in this thesis. The concepts will be linked to Alexander’s original ideas and common views from the pattern community. We will also identify gaps such as the weak understanding of the different problem levels that should be addressed in a pattern. Moreover, the thesis will reason about the quality of patterns by reflecting on wholeness and its properties.
The major contribution is the foundation of a framework that links the pattern concept to established theories from other disciplines. Patterns in the world are related to the philosophical idea of universals. A thought experiment will show the problems of abstracting and dividing a structure into parts and patterns. The construction of patterns in our heads is explained according to schema theory. Different experiences can lead to different pattern ideas. In our view the descriptions of patterns is similar to the formulation of theories. A pattern is a network of statements about the interaction of forces in a given context. Its proposed solution is supposed to resolve the existing conflict of forces. Such claims are subject to falsification and can be treated as hypotheses about good design. While good patterns are grounded on empirical cases, the generalized forms cannot be relieved from the problem of induction - what has worked in the past does not necessarily work in future cases. Patterns need to be tested continuously and evolve based on new data. From these considerations we will derive practical guidance for pattern mining.
The proposed theoretical framework will be supported by empirical findings. The lessons learnt from an authoring system that generates patterns of interactive graphics show that we can create many variations of instances based on the same universal code. This universal, however, is something artificially constructed by designers. It does not proof that this universal represents the world appropriately. To see whether individuals construct similar patterns we will report on the results from a laboratory study. The experiment tests the construction of schemas of interactive graphics. We will also reflect on pattern descriptions as the result of mining processes. Depending on the format, granularity and level of abstraction these descriptions contain different amounts of testable instructive information. A retrospective document analysis will compare different descriptions of patterns to illustrate this point.
The main contribution of this work is to show the variety of ideas about patterns, the underlying theories and relations between patterns in the world, patterns in our heads and pattern descriptions. These relations show that patterns are socially and mentally constructed. At the one hand patterns try to capture one view of the reality that can be tested empirically. On the other hand pattern descriptions also influence which artefacts are created in the future. There is a feedback loop as patterns capture a perceived reality and potentially shape parts of the future reality, i.e. new objects in the world.
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.
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.
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.
This dissertation consists of three articles that point out new perspectives on private equity and leverage buyouts, and enrich the current state of research through considerable efforts to better understand how private equity is creating value and how macroeconomic conditions affect the debt side:
1. Ilg, Daniel. Long-Run Relationship between Default Rates and Macroeconomic Variables in the US Leveraged Loan Market. The Journal of Fixed Income 24, no. 3 (2015): 64-76; http://www.iijournals.com/doi/abs/10.3905/jfi.2014.24.3.064 oder http://dx.doi.org/10.3905/jfi.2014.24.3.064
2. Ilg, Daniel. Value Creation Drivers in Large Leveraged Buyouts (June 18, 2015); http://ssrn.com/abstract=2621525
3. Ilg, Daniel. Firm-Specific Triggers of LBO Defaults (April 22, 2015); http://ssrn.com/abstract=2619821 or http://dx.doi.org/10.2139/ssrn.2619821
The first article deals with the influence of macroeconomic changes on the default rates of private equity loans. It identifies significant variables which have strong and significant predictive power on the LBO default rates in the U.S. market.
The second article, deals with the value creation levers which investors use to create value in their portfolio companies. This research casts light on the impact of the holding period, the effects of divesting activities and expectations about the future shape of the economy on the performance of deals.
The third article deals with firm-specific triggers of LBO defaults. Asset liquidation potential as an additional source of cash flow available for servicing debt, the valuation of the investment, the strength of the negotiated covenants, the pressure of the target's refinancing need, and the stage of the fund's life cycle.
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.
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 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.
As a result of the almost continuous climatic warming since the end of the Little Ice Age, a large store of unconsolidated material is available for mobilization by different sediment transport processes in the proglacial areas of the Alps. This can also be stated for the area around the Gepatsch glacier in the Upper Kauner Valley (Ötztal Alps, Tyrol). Consequences are changes in the sediment budget of the catchment of the Gepatsch reservoir.
The main goal of this thesis was the construction of a recent time sale sediment budget of this area. An important methodological property of the conducted research was the usage of study area-wide LiDAR data (TLS and ALS) of comparatively high temporal and spatial density. After several billion measurement points and data from field work, mapping and modelling efforts had been processed and evaluated, it was possible to identify and quantify the sediment transport by all relevant processes on the scale of the study area.
As this study was conducted in the framework of the PROSA project, it was possible to enrich own results with data from other working groups. This formed the basis for a regionalization of measured rates to the scale of the 62 km² large study area.
Results are presented and discussed for the processes of rock fall of various magnitudes, debris flows, avalanches, creep on talus, fluvial processes (hillslopes and main fluvial system) and rates obtained for rock glaciers and glaciers. In order to make different processes comparable, the potential energy transformed was also calculated.
The resulting sediment budget (reference time period 2012-2014) does not only show the relative importance of the mentioned processes and spatial subunits (proglacial vs. non-proglacial) in the Upper Kauner Valley. It also gives insight into the importance of high-magnitude events and the configuration of the sediment transport system with regard to its connectivity.
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.
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.
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.
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.
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.