Thesis Topics

Thank you for your interest in writing a Bachelor's or Master's thesis at the Chair of Information Systems Management. Below you find the current list of our research topics. If you think one of these topics sounds promising, we are happy to hear from you. Unless otherwise noted, thesis topics are open to Bachelor and Master students, can start immediately and should be preferably written in English language. Get in touch with us ideally 8 weeks before your intended start.

Topics

Innovation through Outsourcing

Research aim of this master thesis is to analyze whether outsourcing vendors that invest more into innovation for their clients are more successful. Based on some previous works of the Chair of Information Systems Management and on secondary firm performance data, the student will analyze a.  large data set of international outsourcing vendors, their innovation activities, and their performance metrics (revenue, market shares etc.). Outcome should be to show whether particular types of innovation activities lead to more market success than others.

Method: secondary statistical analysis

Language of Thesis: English

Literature for getting started:

  • Meiser/Beimborn: Innovation in Outsourcing – An Empirical Analysis of Outsourcing Vendors’ Innovation Approaches, International Conference on Outsourcing Information Services (ICOIS), Mannheim, 2019. (available on request)

Supervisor: Prof. Dr. Daniel Beimborn

Success Factors of IT Nearshore Outsourcing Relationships

Aim of this master thesis is to analyze a rich set of qualitative data (about 120 recorded interviews from about 20 case studies) on the management of outsourcing relationships between German/Swiss client firms and Eastern/Central European IT service providers in various countries. Aim is to identify different strategies for managing vendor personnel and activities and evaluating their effectiveness. This study can be extended by collecting new cases, in particular, on failed nearshore outsourcing relationships.

Method: qualitative analysis

Language of Thesis: English

Literature for getting started:

  • Carmel/Abbott: Why ‘nearshore’ means that distance matters. Communications of the ACM, Oct 2007.
  • von Stetten: Control Modes in IT Outsourcing. Zeitschrift für erfolgsorientierte Unternehmenssteuerung (27:12), 2015, pp. 703ff
  • von Stetten/Beimborn/Weitzel: Analyzing and Managing the Impact of Cultural Behavior Patterns in Social Capital in Multinational IT Project Teams. Business & Information Systems Engineering (BISE), 2012, pp. 137ff.

Supervisor: Prof. Dr. Daniel Beimborn

State of the Art in Outsourcing Research

Goal of this research is to create an overview about the current status of outsourcing research and identify open white spots relevant to be. This work is based on previous research from 2009/2010 and aims to identify and synthesize the past ten years of outsourcing research.

Literature for getting started:

  • Lacity, M.C., Khan, S.A., and Willcocks, L.P. 2009. "A Review of the IT Outsourcing Literature: Insights for Practice," Journal of Strategic IS (18:3), pp. 130-146.
  • Lacity, M.C., Khan, S.A., Yan, A. 2016: Review of the Empirical Business Services Sourcing Literature: An Update and Future Directions. Journal of Information Technology (31), pp. 269-328.

Supervisor: Prof. Dr. Daniel Beimborn

Digital Innovation Labs and Organizational Agility

In the context of an ongoing research project, the research goal of this thesis is to identify how digital innovation labs can possibly contribute to organizational agility. Part of this research is to analyze already collected interview data from several large organizations in the context of digital innovation labs and identify potential connections to organizational agility. 

Method: qualitative analysis

Language of Thesis: Preferably English, German possible

Supervisor: Julian Frey

Data Science: Analyzing AppStore Data

In the context of this small research project, we have several potentially relevant research questions to be answered during the course of a thesis. Concrete topics range from KPI development for digital innovation by collecting both qualitative and/or quantitative data to text mining approaches to analyze an existing data pool. The aim is to develop and test an analysis tool that allows for the assessment of organizations' digital innovativeness.

Language of Thesis: Preferably English, German possible