Thesis Announcements

Overview of Thesis Announcements

At our department you can always choose from a variety of exciting and highly relevant topics from the areas of marketing and human resources management for your bachelor, master or student theses. Currently, we offer theses in the following areas:

1. Digital Marketing, Services Marketing, and Service Robotics

2. Digitalization and Innovation

3. Human Resource Management and Leadership

4. Future of Work

If you are interested in one of the announced topics, please send your CV and performance review to the supervisor of the thesis.

You can find the guidelines for writing the thesis at our chair in the download section on the right side or on the bottom of this page.

Would you like to apply with your own thesis topic? Please note that we require an exposé in addition to your CV and performance review. You can find information about this in the download section on the right side or on the bottom of this page.

1. Digital Marketing, Services Marketing and Service Robotics

Currently no items available.

  • Technique Innovations – Novel behaviors while using products

    2024/08/21

    Bachelor thesis, Master thesis, Studienarbeit

    Over the past two decades, the field of innovation research has primarily focused on product innovation, often overlooking the importance of behavioral and technique innovations. This gap in the literature may stem from the inherent challenges user innovators face when attempting to recall and articulate novel behaviors and techniques, compared to the relatively more tangible development of new products.

    A particularly crucial aspect of technique innovation is functional adaptation, where users modify their interactions with objects or tools to achieve beneficial outcomes. Understanding these adaptations can provide companies with access to “sticky” information, hence insights that are deeply embedded in user experiences and often difficult to uncover. By leveraging this information, companies could potentially identify new uses for existing products and drive more effective product innovations, ultimately securing a competitive advantage in the market.

    Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M.Sc. Diana Cervera

    Announcement as PDF

  • Behavioral and Technique Innovations in Patients with Movement Difficulties

    2024/08/20

    Bachelor thesis, Master thesis, Studienarbeit

    Over the past two decades, research in innovation has primarily centered on product innovation, neglecting behavioral and technique innovations. This oversight may be due to the challenges that user innovators face in recalling novel behaviors and techniques compared to the development of new products. In the healthcare sector, for example, while innovations such as new medical devices or treatments have gained significant attention, the everyday behaviors and techniques that patients rely on have been largely ignored.

    In Germany alone, there are 7,795,330 individuals with disabilities, with 21% experiencing movement impairments such as partial or complete loss of extremity function or limitations in spinal and trunk mobility. These patients' outcomes are influenced not only by the treatments they receive but also by how they interact with those treatments. Behaviors such as exercise regimens, mobility strategies, and adaptive techniques play a critical role in the lives of these patients, directly impacting their ability to overcome daily challenges and enhance their quality of life.

    Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M.Sc. Diana Cervera

    Announcement as PDF

Currently no items available.

  • Large Language Models are User Interfaces – Developing User-Centred Voice Assistants

    2024/01/22

    Bachelor thesis, Master thesis, Studienarbeit

    Large Language Models have shown a remarkable ability to understand user intents and act on them. By fine-tuning foundation models on voice assistant use-cases, we can gain better control of interaction flows, and enable a larger range of interaction styles. A thesis in this area can focus on a variety of research directions: User Experience Research, Dataset Engineering, and User Interface Design.

    Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M. Sc. Sven Schultze

    Announcement as PDF