Student Theses and Projects: IT Workforce in the age of Agility, Digitalization and Design Thinking


Thesis (BA/MA/Guided Research); Reference-number: 2017-171

Advisor(s): Barbara Prommegger


The progress of digitalization and the fast-moving IT industry present companies and their employees with new challenges and at the same time have a major impact on the workplace design of the future. Principles such as Agility or Design Thinking create new, more flexible but also more demanding jobs and thus force the need for highly qualified employees. This change within the IT industry raises the following questions: How has the IT profession changed over time and how does the future IT workforce look like? How do concepts like Agility or Design Thinking affect companies and their employees? What kind of leadership do agile, self-organized teams require and how do team structures change in a highly dynamic environment?

These and similar questions serve as a basis for further work in the context of student theses and projects (BA/MA/Guided Research). The activities during the preparation of the work include literature analysis, the compilation of research questions, conduction of the research and deriving the findings. The research gap can be investigated using Design Science Research, qualitative analysis (interviews, case study research etc.) or quantitative analysis (data from questionnaires, archive data, public data, etc.).


  • IT profession: development over time and future trends (market tendencies, skill development etc.)
  • Finding, recruiting and involving highly skilled IT employees
  • New methods, like Agile Development/DevOps/Design Thinking and their influence on IT professionals
  • Leadership in IT projects (closeness, hierarchy, self-organization & decision making processes, etc.)
  • Team dynamics in IT projects (group building, collaboration, decision making processes, knowledge management, etc.)
  • Similar topics 


  • Interest in current topics of IT (Agile, DevOps etc.) and Human Resource
  • Experience in & willingness to learn about scientific writing
  • Experience in & willingness to learn about literature reviews
  • Experience in & willingness to learn about quantitative/qualitative data analysis
  • Structured, reliable & self-motivated work style 

Further Information

Joseph, D., Ng, K.-Y., Koh, C., & Ang, S. (2007). Turnover of information technology professionals: A narrative review, meta-analytic structural equation modeling, and model development. MIS Q., 31(3), 547–577.

Moe, N. B., Dingsøyr, T., & Dybå, T. (2010). A teamwork model for understanding an agile team: A case study of a Scrum project. Information and Software Technology, 52(5), 480–491.

Armstrong, D. J., Brooks, N. G., & Riemenschneider, C. K. (2015). Exhaustion from Information System Career Experience: Implications for Turn-Away Intention. MIS quarterly, 39(3).