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Trust in Digital Services


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Racial Discrimination through AI


In the digital age, machine-learning algorithms and Artificial Intelligence are used constantly by people all around the world, influencing interactions, categorizations and opportunities at workplaces or even the criminal justice system. Our society continues to rely on these algorithms to determine if someone is guilty of a crime, who to hire for a job or what ads to promote to specific users. However, individuals, organizations and institutions are increasingly uncovering the bias of algorithms, including racial, gendered, class-based and regional discrimination. My goal in this thesis is to investigate moral aspects of the public perception of algorithmic fairness with special regard to the risks for structurally discriminated minorities.

Measuring Sustainable Tourism with Online Platform Data


The global tourism sector and the associated environmental risks have steadily grown over the past decades. The United Nations Sustainable Development Goals call for accurate measurements of the sector’s economic, environmental and societal impact. This thesis estimates the proportion of jobs in sustainable tourism out of total tourism jobs (SDG 8.9.2) in the European market using online travel platform data.

Online Reviews and Consumer Buying Decisions


This thesis uses the historical data from an online retail store to investigate the effect of product reviews on consumer buying decisions by looking at the conversion rates of the products before and after a review is available. The thesis examines the review's sentiment and its effect on the revenue lift for the company.

Assessing Gentrification based on Platform Data


Gentrification is a widespread socio-economic problem but also an opportunity if handled properly. For governments, identifying gentrification early on can be crucial to making good policy decisions and healthy city development. Current methods to identify gentrification are based on demographic data and tend to lag behind actual developments. This thesis explores methods of now- and forecasting gentrification based on platform data.

Trust Cues in Crowdfunding


Equity crowdfunding is a form of financing shaped by the Internet, in which a large number of investors ("crowd"), usually with small amounts of money, participate financially in projects in expectation of a return. The matching of supply and demand sides is managed via an intermediary online platform. The following thesis will be carried out to determine the effect of investors on the investment decisions of other investors and the financing success of campaigns.

A tool for technical literature reviews


This thesis develops a tool for technical literature reviews based on Google Scholar and various publisher websites. Detecting patterns of authors, keywords, and their relations among each other for a certain topic has never been easier.

Paygaps in the Platform Economy


This thesis considers gender pay gaps in the platform economy, specifically considering the example of Helpling.de, a platform for hiring cleaning staff. While gender inequality manifests in significant pay gaps in the German overall economy, this thesis sets out to study whether or not such gaps also exist in a particular example of online-mediated work in an area (household, cleaning), in which mostly women are working — at least in the traditional offline grey and black markets.

A field experiment on Wunderflat's apartment descriptions


Many platforms invest developer resources in constantly improving user experience. One way to impact customer impressions is through the level of detail in product descriptions. This thesis considers the effects of the degree of detail in online apartment descriptions on consumer interest and bookings. The thesis is a joint effort with the Berlin-based apartment rental agency Wunderflats.

Green Energy Platform Economics


Digital transformation is a major driver of the current energy transition towards a green and sustainable future. Digital business models based on a platform approach already changed the way of interaction and transaction in multiple industries such as transportation (e.g. Uber), retail (e.g. Amazon) or hospitality (e.g. Airbnb). In such digital platform ecosystems, trust plays an essential role. This thesis identifies trust-building signals in green energy platforms and their applicability to platforms for electricity grid services.

Exploring the design of reputation portability


This thesis will consider the economics of reputation portability from a holistic perspective by conducting interviews with participants of relevant stakeholder groups, including users, platform operators, complementors, and regulatory bodies.

Fake Reviews in Electronic Commerce


Die Arbeit untersucht die Entwicklung, dass Kunden-Bewertungen systematisch zu gewinnsteigernden Zwecken im Bereich des E-Commerce gekauft und gefälscht werden. Ziel ist es mittels computergestützten Algorithmen solche Fake Reviews auf Amazon.com zu identifizieren. Auf qualitativer Ebene soll ein Einblick in die verschiedenen Stakeholdergruppen und deren Interessen gewährt werden.

The B2B Platform Economy


Plattform-basierte Geschäftsmodelle haben in den vergangenen 10 Jahren immense Aufmerksamkeit erfahren und spielen heute eine zentrale Rolle in vielen Endverbraucher-Märkten (C2C und B2C). Plattformen für die Vermittlung von Diensten und Gütern zwischen Firmen (B2B) stehen im Vergleich dazu deutlich weniger im Rampenlicht. In dieser Abschlussarbeit wird systematisch erarbeitet, welche Merkmale und Wirkungsweisen für den Erfolg von B2B Plattformen verantwortlich sind und welche Steuerungsmöglichkeiten deren Betreiber und Nutzer dazu in der Hand haben.

Takeaway Trust: A market data perspective on reputation portability in electronic commerce


In dieser Abschlussarbeit wird anhand von Daten der Plattform Bonanza.com untersucht, welche Rolle das Online-Feedback von Kunden (Star Ratings) für den ökononomischen Erfolg der Verkäufer auf der Plattform spielt. Die Besonderheit an Bonanza.com ist dabei, dass sowohl plattform-eigene als auch von eBay importierte Ratings angezeigt werden.

Trust in Artificial Intelligence


In dieser Abschlussarbeit wird anhand von Experiment-Daten untersucht, welche Rolle die Transparenz von Decision Support Systems auf Basis künstlicher Intelligenz (KI) auf das Vertrauen von Anwendern in diese KI spielt. Insbesondere wird untersucht, wie sich das Hervorheben entscheidungs-relevanter Features und das Vorhandensein einer KI-Selbsteinschätzung auswirken.

The Long Tail Fallacy


In dieser Abschlussarbeit wird anhand von Experimentdaten untersucht, wie häufig sich Online-Kunden im Angesicht verschieden-großer Angebotspaletten für Bestseller bzw. Nischenprodukte entscheiden. Die Long-Tail-Hypothese besagt, dass sich durch das Aufkommen von Computern, dem Internet, Suchmaschinen und Online-Marktplätzen ein wesentlicher Teil der Nachfrage in Nischenmärkte und -produkte verlagert. Die vorliegenden Experimentaldaten weisen eher auf das Gegenteil hin.

Text Reviews and Sentiment in the Platform Economy


In dieser Abschlussarbeit wird anhand von großen Text-Review Datensätzen untersucht, welchen Einfluss das Sentiment der Reviews auf den Erfolgt von Anbietern auf peer-to-peer Plattformen hat. Eine spezifische Fragestellung dabei ist, ob ein "schlechte" Review genügt, um viele "sehr gute" Reviews unwirksam zu machen.

Requirements identification in online job ads


In dieser Abschlussarbeit wird anhand von Daten einer Online-Agentur für Stellenanzeigen und Natural Language Processing untersucht, welche Bewerber-Fähigkeiten gefragt sind, in welchen Clustern diese auftreten und wie sie mit anderen Faktoren wie Branche, Hierarchie-Ebene, etc. zusammenhängen.

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If you have a study subject for your thesis in mind which you think fits well into our research group's focus, please feel free to use this form to contact us.



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