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Institute
Governments around the world currently focus on shaping the digital economy. Particular attention is paid to Internet platforms, Internet infrastructure and data as essential components of the digital economy. The three studies in this thesis contribute to the understanding of the behavior of firms in each of these domains and derive insights for future regulations and business projects.
The first study deals with the ranking of content on Internet platforms and how it affects the incentives of content providers to invest in content quality. The focus of the study is on sponsored ranking and organic ranking, but the case that a vertically integrated content provider is favored by an Internet platform is also taken into account. Using a game theoretic model, it is shown that there is no ranking design that strictly leads to more investment compared to the other designs. It is also shown that the Internet platform usually chooses the type of ranking that, from the perspective of the Internet platform and consumers, yields the best expected overall content quality. The second study deals with the incentive of Internet service providers to throttle specific Internet content. The key finding is that Internet service providers use this instrument to utilize the capacity of their telecommunications network more efficiently. This leads not only to more benefits for Internet users, but also to a higher incentive to invest in network capacity due to better monetization. The third study examines the circumstances under which firms are willing to share data with other firms. By means of an economic laboratory experiment, it is shown that more data is shared if the firms have control over who exactly they share data with. Thus, for example, data pools that grant unrestricted data access to all participating firms can be expected to perform worse than data pools that give their participating firms control over with whom their uploaded data is shared. In addition, the third study finds that established relationships are characterized by more data sharing and less volatility in the amount of shared data than new relationships. The study concludes that data sharing projects should not be expected to work optimally right away.
In summary, the studies in this thesis identify a number of costs that may arise when digital firms' choice is restricted by regulation or design. The ability of Internet service providers to throttle certain content and the ability of Internet platforms to choose the ranking design are usually used in the best interests of consumers. Data sharing also works best when firms are free to decide who gets their data.
Kai von Lewinski nimmt eine juristische Perspektive ein und rekonstruiert kritisch die Grenzen der gegenwertigen Gesetzgebung im Bereich des Informationsrechts und des Datenschutzes, die äußerst individualistisch vorgehen. Das Datenschutzrecht fokussiert auf den einzelnen Datenverarbeitungsschritt in Bezug auf eine bestimmte ›betroffene Person‹ und kann daher die gegenwärtigen informationellen Vermachtungen kaum fassen. Der Artikel plädiert dafür, die interdisziplinäre Perspektive auf Privatsphäreschutz weiterzuverfolgen, die im Graduiertenkolleg entwickelt wurde.
Kai Erik Trost nimmt eine soziale Perspektive auf Privatheit ein. In seinem Dissertationsprojekt am Graduiertenkolleg untersucht er die Semantiken des Freundschaftsbegriffs innerhalb digital kommunizierender jugendlicher Freundeskreise im Rahmen einer empirischen Interviewstudie. Im Magazinbeitrag stellt er anhand eines Interviewbeispiels Teilergebnisse seiner Arbeit vor. Dabei zeigt sich, dass Privatheit stets dynamisch und kontextspezifisch zu denken ist. Aus sozialräumlicher Sicht schafft Privatheit einen Rahmen, um als Person in Form unterschiedlicher Erscheinungen aufzutreten und dabei verschiedene Identitätsaspekte herausstellen zu können.
Due to the advances of digitalization, firms are able to collect more and more personal consumer data and strive to do so. Moreover, many firms nowadays have a data sharing cooperation with other firms, so consumer data is shared with third parties. Accordingly, consumers are confronted regularly with the decision whether to disclose personal data to such a data sharing cooperation (DSC). Despite privacy research has become highly important, peculiarities of such disclosure settings with a DSC between firms have been neglected until now. To address this gap is the first research objective in this thesis. Another underexplored aspect in privacy research is the impact of low-cognitive-effort decision-making. This is because the privacy calculus, the most dominant theory in privacy research, assumes for consumers a purely cognitive effortful and deliberative disclosure decision-making process. Therefore, to expand this perspective and examine the impact of low-cognitive-effort decision-making is the second research objective in this thesis. Additionally, with the third research objective, this thesis strives to unify and increase the understanding of perceived privacy risks and privacy concerns which are the two major antecedents that reduce consumers’ disclosure willingness.
To this end, five studies are conducted: i) essay 1 examines and compares consumers’ privacy risk perception in a DSC disclosure setting with disclosure settings that include no DSC, ii) essay 2 examines whether in a DSC disclosure setting consumers rely more strongly on low-cognitive-effort processing for their disclosure decision, iii) essay 3 explores different consumer groups that vary in their perception of how a DSC affects their privacy risks, iv) essay 4 refines the understanding of privacy concerns and privacy risks and examines via meta-analysis the varying effect sizes of privacy concerns and privacy risks on privacy behavior depending on the applied measurement approach, v) essay 5 examines via autobiographical recall the effects of consumers’ feelings and arousal on disclosure willingness.
Overall, this thesis shines light on consumers’ personal data disclosure decision-making: essay 1 shows that the perceived risk associated with a disclosure in a DSC setting is not necessarily higher than to an identical firm without DSC. Also, essay 3 indicates that only for the smallest share of consumers a DSC has a negative impact on their disclosure willingness and that one third of consumers do not intensively think about consequences for their privacy risks arising through a DSC. Additionally, essay 2 shows that a stronger reliance on low-cognitive-effort processing is prevalent in DSC disclosure settings. Moreover, essay 5 displays that even unrelated feelings of consumers can impact their disclosure willingness, but the effect direction also depends on consumers’ arousal level.
This thesis contributes in three ways to theory: i) it shines light on peculiarities of DSC disclosure settings, ii) it suggests mechanisms and results of low-effort processing, and iii) it enhances the understanding of perceived privacy risks and privacy concerns as well as their resulting effect sizes.
Besides theoretical contributions, this thesis offers practical implications as well: it allows firms to adjust the disclosure setting and the communication with their consumers in a way that makes them more successful in data collection. It also shows that firms do not need to be too anxious about a reduced disclosure willingness due to being part of a DSC. However, it also helps consumers themselves by showing in which circumstances they are most vulnerable to disclose personal data. That consumers become conscious of situations in which they are especially vulnerable to disclose data could serve as a countermeasure: this could prevent that consumers disclose too much data and regret it afterwards. Similarly, this thesis serves as a thought-provoking input for regulators as it emphasizes the importance of low-cognitive-effort processing for consumers’ decision-making, thus regulators may be able to consider this in the future.
In sum, this thesis expands knowledge on how consumers decide whether to disclose personal data, especially in DSC settings and regarding low-cognitive-effort processing. It offers a more unified understanding for antecedents of disclosure willingness as well as for consumers’ disclosure decision-making processes. This thesis opens up new research avenues and serves as groundwork, in particular for more research on data disclosures in DSC settings.
Most Sub-Saharan African (SSA) countries experienced sound economic growth and a declining rate of poverty over the last two decades. Though, by far, the SSA region remains the poorest in the world and faces tremendous political, social, and economic challenges. Moreover, due to the COVID-19 pandemic, SSA entered into a recession with a GDP growth rate of minus 5% in 2020 as ever recorded over 25 years. This has also induced an increase in poverty in the region, which adds up to the structural challenges and further highlight the need of sound policies to address economic growth, governance, jobs, and poverty for the region to meet the Sustainable Development Goals (SDGs) in 2030 and beyond.
This thesis examines the effects of institutional quality, political instability, and a government targeted entrepreneurship program on the accumulation of human, physical, and financial capital by households and firms. In the literature, these factors are identified as the key determinants of economic growth and job creation, yet this thesis contributes to a knowledge gap, especially at the microeconomic level, on how households and firms accumulate these factors in the presence of weak institutional quality, political instability, and government targeted entrepreneurship programs. In particular, this thesis investigates heterogeneity as well as a single country study of the effects of institutional quality and political instability; it also employs a randomized controlled trial (RCT) to assess the impacts of two different targeted entrepreneurship support programs; and finally, it taps on data from this field experiment to assess the performance of two different targeting mechanisms for selecting growth-oriented entrepreneurs. Each paper is self-contained and three among the four papers were written with co-authors.
The first paper assesses the effects of institutional quality and political instability on household assets and human capital accumulation in 19 Sub-Saharan African countries for the period 2003-16. In this paper, the concept of instability is enlarged to include factual instability as measured by the number of political violence and civil unrest events, perceived instability as measured by the perceptions of the quality of institutions by households, and the interplay between factual and perceived instability. Contrary to most previous analyses, this paper takes into account household wealth distribution to show how the effects of political instability differ for poor vs. rich households. For identification, I exploit the variation of factual and perceived instability across 185 administrative regions in the 19 countries. My regressions control for a large range of confounding factors measured at the levels of households, regions, and countries. Overall, factual and perceived instability are associated with higher investments in assets, and factual instability is also associated with more investment in house improvements, yet it is negatively associated with the ownership of financial accounts. With regard to the heterogeneous effects, increased factual or perceived instability is associated with more investments in physical capital but less investments in financial and human capital among rich households, and with less investments in physical, financial and human capital among poor households. These findings suggest that political instability might enhance the accumulation of wealth by rich households and reduce that of poor households, implying that the detrimental effects of political instability have lasting consequences for poor households, especially when poor households are exposed to an actual or even just perceived deteriorating quality of the country’s institutions.
The second paper, written with Nicolas Büttner and Michael Grimm, analyzes households’ investments in assets and their consumption, and education and health expenditures when exposed to actual instability as measured by the number of political violence and protest events in Burkina Faso. There is a large, rather macroeconomic, literature that shows that political instability and social conflict are associated with poor economic outcomes including lower investment and reduced economic growth. However, there is only very little research on the impact of instability on households’ behavior, in particular their saving and investment decisions. This paper merges six rounds of household survey data and a geo-referenced time series of politically motivated events and fatalities from the Armed Conflict Location and Event Data project (ACLED) to analyze households’ decisions when exposed to instability in Burkina Faso. For identification, the paper exploits variation in the intensity of political instability across time and space while controlling for time-effects and municipality fixed effects as well as rainfall and nighttime light intensity, and many other potential confounders. The results show a negative effect of political instability on financial savings, the accumulation of durables, investment in house improvements, as well as on investment in education and health. Instability seems, in particular, to lead to a reshuffling from investment expenditures to increased food consumption, implying lower growth prospects in the future. With respect to economic growth, the sizable education and health effects seem to be particularly worrisome.
The third paper, written with Michael Grimm and Michael Weber, employs a randomized controlled trial (RCT) to assess the short-term effects of a government support program targeted at already existing and new firms located in a semi-urban area in Burkina Faso. Most support programs targeted at small firms in low- and middle-income countries fail to generate transformative effects and employment at a larger scale. Bad targeting, too little flexibility and the limited size of the support are some of the factors that are often seen as important constraints. This paper assesses the short-term effects of a randomized targeted government support program to a pool of small and medium-sized firms that have been selected based on a rigorous business plan competition (BPC). One group received large cash grants of up to US$8,000, flexible in use. A second group received cash grants of an equally important size, but earmarked to business development services (BDSs) and thus less flexible and with a required own contribution of 20%. A third group serves as a control group. All firms operate in agri-business or related activities in a semi-urban area in the Centre-Est and Centre-Sud regions of Burkina Faso. An assessment of the short-term impacts shows that beneficiaries of cash grants engage in better business practices, such as formalization and bookkeeping. They also invest more, though, this does not translate into higher profits and employment yet. Beneficiaries of cash grants and BDSs show a higher ability to innovate. The results also show that cash grants cushioned the adverse effects of the COVID-19 pandemic for the beneficiaries. More generally, this study adds to the thin literature on support programs implemented in a fragile-state context.
The fourth paper, written with Michael Weber, examines the selection of entrepreneurs based on expert judgments for a BPC in Burkina Faso. To support job creation in developing countries, governments allocate significant funds to a typically small number of new or already existing micro, small, and medium-sized enterprises (MSMEs) that are growth oriented. Increasingly, these enterprises are picked through BPCs where thematic experts are asked to make the selection. So far, there exists contrasting and limited evidence on the effectiveness and efficiency of these expert judgments for screening growth-oriented entrepreneurs among contestants in BPCs. Alternative or complementary approaches such as evaluation and selection algorithms are discussed in the literature but evidence on their performance is thin. This paper uses a principal component analysis (PCA) to build a metric for comparing the performance of these alternative mechanisms for targeting entrepreneurs with high potential to grow. The results show expert subjectivity bias in judging contestant entrepreneurs. The paper finds that the scores from the expert judgment and those from the algorithm perform similarly well for picking the top-ranked or talented entrepreneurs. It also finds that both types of scores have predictive power, i.e. have statistically significantly associated with 17 firm performance outcomes measured 10 or 34 months after the BPC started. Yet, the predictive power, as measured by the magnitude of the regression coefficients, is higher for the algorithm metric, even when it is considered jointly with expert judgment scores. Despite the statistical superiority of the algorithm, expert assessments at least through pitches of entrepreneurs have proved useful in many settings where free-riding or misuse of public funds may occur. Hence, efficiency and precision could be achieved by relying on a reasoned combination of expert judgments and an algorithm for targeting growth-oriented entrepreneurs.
These four papers bring new insights on the relationship between weak institutions, political instability, and targeted government support to entrepreneurship for increasing the accumulation of financial, physical, and human capital, and productivity. And these are the key factors for spurring economic growth and creating jobs in SSA. These findings suggest that efficient institutions building in SSA countries would enhance citizen perceptions of good governance which would reduce political instability and enable households including the poor to accumulate productive assets, increase their productivity and reduce poverty. The findings also suggest that targeted government entrepreneurship support programs, e.g. in the forms of cash grants with monitored disbursements yet flexible in use, can enhance firms’ human capital, productive assets, and innovations, even in the short term. Moreover, the targeting mechanism of such programs could be made more effective and efficient by relying on a combinaison of expert judgments and an algorithm for picking growth-oriented entrepreneurs.
Nicht nur aus pädagogischen Gründen, sondern vor allem unter dem Motto „kurze Beine, kurze Wege“ sowie aus schulorganisatorischen Anlässen erlebt die Jahrgangsmischung in der deutschen Bildungslandschaft gegenwärtig eine Renaissance.
Ziel dieser qualitativ-explorativen Studie war es, mehr über das professionelle Handeln, die Handlungsbegründungen und den professionellen Handlungsrahmen der Schulleitungen und Lehrkräfte bei der Einführung von jahrgangskombinierten Klassen aus pragmatischen Gründen zu erfahren. Vor dem theoretischen Hintergrund der innovationsspezifischen Implikationen der Jahrgangsmischung, der Phasen und Bedingungen von Schulentwicklung sowie der Struktur professionellen Handelns geht die Arbeit der übergeordneten Frage nach der Gestaltung der Initiierung und Implementierung von jahrgangsübergreifendem Lernen aus pragmatischen Gründen aus Sicht der betroffenen professionellen Akteure/innen nach. In den Teilfragen eruiert sie die Herausforderungen im Schulentwicklungsprozess, entsprechende Handlungsstrategien und -begründungen aufseiten der Schulleitungen und Lehrkräfte, deren innovationsspezifische Vorstellungen von jahrgangsübergreifendem Lernen sowie unterstützende und hemmende Entwicklungsbedingungen beim Transfer der Veränderung auf die Einzelschulebene.
In leitfadengestützten Experten/inneninterviews wurden dazu acht Schul- sowie 16 Klassenleitungen an acht bayerischen Grundschulen befragt, die erstmals eine sogenannte Kombi-Klasse 1/2 etablierten. Die Auswertung der Transkripte erfolgte mithilfe der inhaltlich strukturierenden qualitativen Inhaltsanalyse, die ergänzt wurde durch eine explizierende Dokumentenanalyse.
Die Ergebnisse zeigen, dass die Handlungsanforderungen für die Schulleitungen und Lehrkräfte rollenspezifisch im Aushandeln und Planen der Initiierung und Implementierung der jahrgangskombinierten Klassen, im Führen und Steuern des Entwicklungsprozesses an der Einzelschule sowie im Organisieren und Umsetzen der Veränderung, insbesondere auf der Unterrichtsebene, liegen. Die Studie gibt einen Einblick in die einzelschulischen Entwicklungsprozesse sowie die Umstände demografisch und schulorganisatorisch bedingter, von den Schulbehörden verordneter Jahrgangsmischung. Es wird deutlich, wie herausfordernd es für die professionell Handelnden ist, den jahrgangsbezogenen (homogenisierenden) Blick zu weiten. Die Daten zeigen aber auch einen Professionalisierungsschub durch diesen Schulentwicklungsprozess, sodass Jahrgangsmischung, trotz der Verordnung „von oben“, dennoch als Motor für einen veränderten Umgang mit Heterogenität fungieren kann.
The increasing relevance of massive graph data reinforces the need for adequate graph data management. While several graph database engines have been developed, the storage of graph data in a relational database management system, and therefore the seamless integration into existing information systems remains an open challenge.
Motivated by the use case to integrate Building Information Modeling (BIM) data into the MonArch system, we propose a solution that transforms the BIM data into a property graph and stores this graph in the database system.
We present a novel approach to efficiently store property graph data in a relational database management system using JSON functionality and redundant storage of edges in adjacency lists and show how to import huge data sets into this schema. Applying this approach, we import data sets of up to nearly 1 TB of disk space within the relational database, while only having 96 GB of main memory available.
We also present a new approach of how to retrieve data from this database schema, translating queries written in the popular property graph query language Cypher into SQL. Hence, we provide an intuitive way to write semantically complex queries.
We also demonstrate the efficiency of our approach using the standardized Linked Data Benchmark Council – Social Network Benchmark (LDBC - SNB) framework. Our approach increases the throughput for this benchmark by up to 85 times, compared to existing approaches for RDBMS.
In addition, we propose a new method to transform BIM data into the property graph model and how to apply the aforementioned property graph storage to this data. We can import IFC models of up to 300 MB within five minutes.
We show the suitability of our approach using our own use case specific benchmark, which we integrated into the previously mentioned Social Network Benchmark. For our interactive use case-specific queries, we achieve response times faster than 5 ms in 99% of all executions.
Finally, we present how the aforementioned approach to store BIM data in a relational database management system is integrated into the existing MonArch system by splitting the different functionalities of our approach into a microservice architecture.
Wer politische Influencer:innen mit jenen Konzepten zu erklären versucht, die Medien- und Kommunikationswissenschaft bisher bereitstellen, muss scheitern, weil diese Disziplinen ihre Theorien in Abhängigkeit zu den Massenmedien formulierten. Denn wo vormals private Akteur:innen über Soziale Medien an öffentliche Sprecherrollen gelangen, offenbaren jene Theoriestränge Lücken, die sich bis dato unabhängig voneinander mit Einflusspersonen beider Sphären auseinandersetzen. Diesem Defizit nähert sich Marcel Schlegel an. Sein Vorschlag: Erst wenn man Meinungsführer- und Öffentlichkeitstheorien miteinander verbindet, lässt sich die kommunikative Rolle der neuartigen Online-Einflusspersonen beschreiben.
With respect to religious motivations for political participation and civic engagement, scholars have set their focus on social capital and the recruiting potential for volunteers inside religious communities. Less attention has been paid to individual religious impulses, but also to reasons for which people step out from deliberative processes, especially in regard to the Eastern European Orthodox cultural context. We are approaching this under-explored research field in this dissertation, with focus on the Romanian city of Timișoara, and look at three particular aspects: the influence of religious perceptions on political protests (analysis of the 1989 revolution), the manner in which religion motivates young people to volunteer (view on a local community project) and factors determining people to retreat from public engagement (analysis of citizens` local committees). The research methods are qualitative - interviews, group discussions and analytical interpretation. Results show that non- or less religious young people are encouraged to protest by an indefinable supernatural force and motivated by moral interests (need for dignity and a fair treatment / procedural justice), more than material ones (distributive justice). When engaging in the community, the impulse partially comes from an intrinsic spirituality and a privatized experience with the divine. Giving up civic engagement has nothing to do with remuneration, but with the need for freedom of expression and moral appreciation.
Stephanie Schiedermair befasst sich aus internationaler Perspektive mit dem ›Recht auf Vergessenwerden‹ und nimmt dabei die weltweite Rezeption, die Unterschiede nationaler Rechtsordnungen und die vielfältigen Herausforderungen mit in den Blick. Sie diskutiert die weltweiten Auswirkungen des Google Spain Urteils und geht der Frage nach, wie darauffolgende Gerichtsentscheidungen und Gesetzgebungsprozesse das Spannungsfeld von Erinnern und Vergessen im Internet balancieren zu versuchen.