📌 Key facts
The goal of this research is to synthesize a detailed checklist that companies can utilize to understand a) how they can assess the current robustness of their business models in the face of AI (required for BA and MA), b ) where they can integrate AI into their operations to enhance established business models (MA Thesis – Option 1), c) how they can gain a detailed understanding on where exactly AI should be applied in their company’s value creation chain to generate maximum impact (Master Thesis – Option 2).
When: Start anytime. Applications are open!
How to apply: Send us an e-mail (at the end of this page) with your CV, a grade report, a short motivation and your suggested approach (proposed plan and questions, potential data, and methods, possible outcomes with a tentative outline).
- 💡 Background
- 🦾Who We Are
- 🎯 Goals
- 📝 Topics of Interest
- 🎓 Profile
- 📚 Further Reading
- 📄 Requirements to any Work
- 📬 How to Apply
💡 Background
Artificial intelligence is considered one of the most important driving forces for future economic development. With the rapid advancements in AI technology, there is a growing interest in how AI can be leveraged to augment established business models and to enhance productivity and the value creation chain. However, established frameworks on how AI can be used in order to enhance business models and the value creation chain still need to be comprehensively summarized through rigorous research.
Join us in our mission to help corporations embrace AI as part of their operations. In better understanding the challenges and opportunities for AI-enhances business models, we can contribute to shaping the corporate landscape, drive innovation, and ensure the effective integration of AI technologies in current and future business applications.
🦾Who We Are
The Chair for Strategy and Organization is focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organizations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership, and Teams.. We are always early in noticing trends, technologies, strategies, and organizations that shape the future, which has its ups and downs.
🎯 Goals
- Identify specific areas where AI can provide solutions. This will involve conducting comprehensive research and analysis, including interviews and surveys, to gain deep insights into the challenges and pain points of utilizing AI to enhance established business models.
- Gain a deep understanding of AI technologies and their potential to streamline and automate work processes.
- Investigate the effectiveness of AI interventions in corporate environments, with a focus on enhancing efficiency, accuracy, and reducing human error.
- Analyze how AI can optimize production cycles, workflow management and automate repetitive tasks, leading to improved productivity and allowing employees to allocate their time more effectively.
- Evaluate the use of different assessments of AI-competence to quantify the ability of AI-use across different industry use-cases.
- Generate an AI- Checklist to help companies understand how they can utilize AI to enhance their established business models and 10x their value proposition.
📝 Topics of Interest
- Intervention Analysis and Review: Investigate the use of AI focused interventions, to determine which approach is most effective in enhancing AI usage. Discover in which settings which type of intervention is the most useful and how it can be implemented.
- Predictive Analysis of AI interventions: Examine what determines whether an Intervention can be effective and what variables within an individual influence the outcome.
- Workflow Optimization and Task Automation: Explore how AI can optimize production cycles, workflow management and automate repetitive tasks, freeing up time for employees to focus on more complex and strategic work, ultimately increasing productivity. Use this knowledge to determine in which areas an intervention can be most effective.
- Virtual Legal Assistants and Chatbots: Investigate the use of AI-powered virtual legal assistants and chatbots to provide on-demand guidance, answer commonly asked questions, and assist with basic tasks. Also investigate which types of fact-checking and verification are
🎓 Profile
- Proficiency in conducting interviews
- Enrolled in a Bachelor’s or Master's program related to Business Administration/Management/Consulting
- Fluent in English (additional proficiency in German is a plus)
- Reliable, self-driven, and motivated
- Demonstrated interest in law and legal industry
- Passion for learning and conducting impactful research
📚 Further Reading
Brauner, S., Murawski, M., & Bick, M. (2023). The development of a competence framework for artificial intelligence professionals using probabilistic topic modelling. Journal of Enterprise Information Management
Anton, E., Behne, A., & Teuteberg, F. (2020). The humans behind Artificial Intelligence–An operationalisation of AI competencies.
Sanusi, I. T., Olaleye, S. A., Agbo, F. J., & Chiu, T. K. (2022). The role of learners’ competencies in artificial intelligence education. Computers and Education: Artificial Intelligence, 3, 100098.
Matonya, M. M. (2020). Innovation, Artificial Intelligence in Contingent Work-Force Management. International Journal of Engineering and Management Sciences, 5(1), 571-590.
Metzler, D.R., Neuss, N. Mintermann, J. (2021). Artificial Intelligence and Business Model Innovation in Incumbent Firms: A Cross-Industry Case Study.
Sena, V. and Nocker, M. (2021) AI and business models: the good, the bad and the ugly. Foundations and Trends in Technology, Information and Operations Management, 14 (4). pp. 324-397. ISSN 1571-9545
Mishra, S., Tripathi, A.R. AI business model: an integrative business approach. J Innov Entrep 10, 18 (2021). https://doi.org/10.1186/s13731-021-00157-5
Pfau, W., & Rimpp, P. (2020). AI-enhanced business models for digital entrepreneurship. In M. Soltanifar, M. Hughes, L. Göcke (Eds.), Digital Entrepreneurship. Cham: Springer (pp. 121–140). DOI: 10.1007/978-3-030-53914-6_7.
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574-587.
📄 Requirements to any Work
We do not want your research to gather dust in some corner of the bookshelf but make it accessible to the world. Thus, we warmly encourage you to create some or all of the following:
- Infograph - visually represent some of your work
- Slide Deck - prepare a slide deck on your overall topic with relevant, interesting, and impactful findings
- MVP- Develop an intervention together with us to improve AI aptitude within knowledge workers
📬 How to Apply
If you are interested, please contact Isabell Welpe (👉 welpe@tum.de) by submitting your CV, a grade report, a short motivation and your suggested research approach.
We are looking forward to hearing more about you!
