Master thesis

Produktion und Supply Chain Management

Supervisors: Dr. Ting Zheng, Prof. Dr. Christoph Glock

Announcement as PDF

Bachelor thesis

Produktion und Supply Chain Management

Supervisors: Dr. Ting Zheng, Prof. Dr. Christoph Glock

Announcement as PDF

Master thesis

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis, Master thesis

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Master thesis

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis

The thesis must be written in German.

Motivation

Der Schienengüterverkehr spielt eine zentrale Rolle für eine nachhaltige und effiziente Logistik in Europa und darüber hinaus. Angesichts wachsender Herausforderungen wie Kapazitätsengpässe, steigendem Wettbewerbsdruck und ambitionierten Klimazielen gewinnt die horizontale Kollaboration – also die Zusammenarbeit zwischen gleichrangigen Unternehmen – zunehmend an Bedeutung. Durch gemeinsame Nutzung von Ressourcen, Koordination von Fahrplänen oder geteilte Logistikhubs können erhebliche Synergien realisiert werden. Gleichzeitig bestehen zahlreiche Hürden: Vertrauen muss aufgebaut, rechtliche Rahmenbedingungen eingehalten und technische sowie organisatorische Systeme aufeinander abgestimmt werden. Mögliche Effizienzgewinne stehen einer höheren Komplexität gegenüber.

Zielsetzung

Ziel der Abschlussarbeit ist es, einen Überblick über alle bestehenden und möglichen horizontalen Kooperationen im Schienengüterverkehr zu erhalten sowie die Treiber und Herausforderungen fundiert zu ermitteln. Dazu soll im ersten Schritt durch eine systematische Literaturrecherche und Webrecherche ein Überblick über unterschiedliche Kooperationsformen erarbeitet sowie bisherige Studien und konkrete Beispiele bestehender Kooperationen in Europa und international identifiziert werden.

Anschließend sollen im zweiten Schritt die genauen Treiber, Chancen und Hürden einer Kollaboration untersucht werden. Anhand ausgewählter Praxisbeispiele soll – z.B. in Form von Case Studies – analysiert werden, welche Faktoren in realen Kooperationen zum Erfolg geführt haben und welche nicht. Auf Basis dieser Beispiele sollen Erfolgsfaktoren abgeleitet sowie konkrete Kennzahlen und Kriterien (Key Performance Indicators, KPIs) identifizieren werden, anhand derer sich die Qualität und der Erfolg einer Kollaboration bewerten lassen. Die Ergebnisse der Arbeit sollen nicht nur ein besseres Verständnis für bestehende Kollaborationsmodelle liefern, sondern auch als praxisnahe Orientierungshilfe für Unternehmen dienen, die selbst über strategische Partnerschaften nachdenken.

Literatur

• Cruijssen, Frans; Dullaert, Wout; Fleuren, Hein (2007): Horizontal Cooperation in Transport and Logistics: A Literature Review. In: Transportation Journal 46 (3), S. 22–39. DOI: 10.5325/transportationj.46.3.0022.
• Karam, Ahmed; Reinau, Kristian Hegner; Østergaard, Christian Richter (2021): Horizontal collaboration in the freight transport sector: barrier and decision-making frameworks. In: Eur. Transp. Res. Rev. 13 (1). DOI: 10.1186/s12544-021-00512-3.
• Meyer, Michael D.; Campbell, Sarah; Leach, Dennis; Coogan, Matt (2005): Collaboration – The Key to Success in Transportation. In: Journal of the Transportation Research Board (1924), S. 153–162. DOI: 10.1177/0361198105192400120.

Rahmenbedingungen

Bei Interesse an der Abschlussarbeit schicken Sie bitte einen aktuellen Leistungsspiegel an Max Preisinger. In einem persönlichen Gespräch können die Modalitäten und der Fokus der Arbeit entsprechend der persönlichen Präferenzen besprochen werden. Mit der Bearbeitung kann nach Absprache zu nächstmöglichem Zeitpunkt begonnen werden.

Unternehmensführung und Logistik

Supervisor: Max Preisinger, M.Sc.

Bachelor thesis

• Supervisor: Christopher Diebel (diebel@ise.tu-…)
• Start: At any time
• Language: You can write your thesis in English or German
• Methods: Two different methodological approaches are available for this thesis: a technical approach, which involves systematic crawling and analysis of data from Internet sources, or a quantitative approach, which consists of the design and implementation of a survey, as well as the statistical analysis of the survey results.

According to the dead internet theory, a significant portion of content on the internet is generated by artificial intelligence (AI) rather than real human users. Furthermore, dead internet theory states that algorithms and automated processes increasingly manipulate content visibility, user engagement, and trends, leading to a homogenized, inauthentic digital ecosystem. Thus, the internet is becoming a sterile, controlled environment dominated by some institutions. The origin of the dead internet theory is grounded in a post on the Agoraroad forum in 2021, in which a user describes this development and that the internet died already in 2016. While the dead internet theory received little attention, the rise of generative AI and its adoption in several industries and services led to the assumption that the dead internet theory might become true.

Enabled by recent enhancements in AI, in particular in large language models, AI is able to generate new content such as text, videos, images, or voice, which is often indistinguishable from that of human experts. Those advanced capabilities in AI have changed the internet in multiple ways. While Stack Overflow was known as the contact point for developers if they had some programming questions, developers increasingly use AI to solve their problems instead. Furthermore, illustrations are increasingly generated by AI instead of designers, and AI is integrated into search engines to answer human questions.

This topic aims to investigate the state of the dead internet and its consequences on human interactions. If you are interested in writing your thesis on this topic, please contact me via email for further information. Please include your CV and transcript of records with your request.

Information Systems & E-Services

Supervisor: Christopher Diebel, M.Sc.

Master thesis

Gründungsmanagement

Supervisor: Prof. Dr. Carolin Bock

Announcement as PDF

Bachelor thesis, Master thesis

Deepfakes refer to synthetic media content—especially videos, images, and audio recordings—manipulated using artificial intelligence to create highly realistic but fabricated representations. The technology is rapidly evolving and increasingly capable of producing convincing and easily accessible content. While deepfakes were initially used in entertainment, they are now emerging in politically and economically relevant contexts. This development presents new challenges for societies, governments, and private sector organizations.

The proliferation of deepfakes introduces several critical issues. For businesses, manipulated media can result in significant reputational damage, loss of trust, or financial harm. Deepfakes have already been used to impersonate executives, falsify internal communications, or manipulate markets. High-profile incidents, such as the deepfake attack on Bayer or similar occurrences in Hong Kong, highlight how such technologies are used with the intent to deceive and cause disruption. Despite growing attention, there is limited systematic research on real-world deepfake cases and their implications for organizations, particularly within the European context.

If you are interested in writing your thesis on this topic, please contact me (saha@ise.tu-…) via email for further information. Please include your CV and transcript of records with your request.

Information Systems & E-Services

Supervisor: Ria Saha, M. Sc.

Master thesis

Overview

Agile methods, such as Scrum, have revolutionized software development, enabling faster delivery and higher quality products. Their success in small, co-located teams has driven organizations to adopt agile practices in large-scale settings, using frameworks such as SAFe and Scrum of Scrums. While a key objective of agile methods is reducing time to delivery—and agile teams are often evaluated on velocity—time-related aspects in agile ISD literature remain underexplored.

In scaled agile contexts, one critical temporal success factor is synchronization among agile development teams. However, we do not yet know how temporal synchronization occurs. What challenges hinder effective synchronization? Could factors like shared temporal cognition, temporal reflexivity, time consciousness, temporal coordination, or team polychronicity act as enablers for effective synchronization?

This thesis seeks to qualitatively and exploratively investigate the mechanisms and enablers of synchronization among agile software development teams operating in scaled-agile environments. The research methodology may involve qualitative interviews or one or more case studies.

Information Systems & E-Services

Supervisor: Dr. Lea Müller

Master thesis, Master thesis (30 CP)

Problem: Hypothetical Bias refers to the phenomenon where individuals behave differently in hypothetical decision-making situations compared to real ones, where actual consequences are involved. This presents a challenge, as individual preferences collected in surveys or experiments may not reflect real-world decisions, leading to inaccurate predictions and potential misjudgments. Various methods have been developed to reduce this bias.

Objective: This master's thesis aims to combine an in-depth review of the relevant literature on Hypothetical Bias with the development of a method to minimize it in experimental and survey settings. In collaboration with the behavioral market research start-up Aybee, you will have the opportunity to implement and test the developed approaches. These methods will be validated through A/B testing to more accurately capture real-world decision-making processes.

This thesis is supervised in cooperation with Aybee GmbH.

Interested in this thesis? Please send your application including your CV, transcript of records and short letter to Léonie Lange.

Technologie- und Innovationsmanagement

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Anna Maria Schätzle, M.Sc.

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Anna Maria Schätzle, M.Sc.

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Anna Maria Schätzle, M.Sc.

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Master thesis, Master thesis (30 CP)

Your task is to replicate the coding of an existing agent-based model using the platform Repast Simphony, or to code your model of choice using the platform Repast Simphony and analyse it. For the latter option, you may choose a textbook model you learned about during your studies, or a topic from another area of interest.

If you are interested please contact Michael Neugart via michael.neugart@tu-….

Finanzwissenschaft und Wirtschaftspolitik

Supervisor: Prof. Dr. Michael Neugart

Master thesis, Master thesis (30 CP)

Your task is to replicate an empirical research paper with the data used in the original publication and add further robustness analyses, or to replicate the research paper using similar data, e.g. from another country.

Guide for replication studies (opens in new tab)

If you are interested please contact Darius Griebenow via darius.griebenow@tu-… or Michael Neugart via michael.neugart@tu-…

Supervisor: Darius Griebenow (M. Sc.) or Prof. Dr. Michael Neugart

Finanzwissenschaft und Wirtschaftspolitik

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Dr. Mariska Fecho

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisors: Dr. Amina Wagner, Dr. Anne Zöll

Announcement as PDF

Bachelor thesis, Master thesis (15 CP)

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Dr. Nihal Wahl

Master thesis

Bachelor thesis, Master thesis

Supervisor: Prof. Dr. Simon Emde

Bachelor thesis, Studienarbeit

Zivilrecht, Gewerblicher Rechtsschutz und Urheberrecht sowie Recht der Informationsgesellschaft

Supervisors: Dr. jur. Anna-Lena Fehr, geb. Wirz, RA Matthias Prinz

Bachelor thesis, Studienarbeit

Supervisors: Dr. jur. Anna-Lena Fehr, geb. Wirz, RA Matthias Prinz

Bachelor thesis, Master thesis, Studienarbeit

Supervisor: Dipl.-Phys. Tobias Bier

Bachelor thesis, Master thesis, Studienarbeit, Diploma thesis

Supervisor: Prof. Dr. Peter Buxmann

Announcement as PDF