Die Decke des TC Gebäudes.


The Institute for Corporate Governance supervises Bachelor- and Master Theses according to the current research focus of the named contact persons (please find a list of already supervised theses here).

If you are interested, please contact the respective supervisor. After the initial contact every student has to submit a proposal for the pursued research work. 

Current Topics

Currently, the following, specific topics are available:

Stefan Edlinger-Bach, MSc (WU)
  • The role of organizational transparency for strategy implementation
  • Predictive financial forecasting systems (ML/AI) and accounting innovation
  • The design of accountability systems and relative performance measurement
  • Information overload and deceptive ESG disclosure
Dr. Christian Haas
Fairness, accountability, transparency, and explainability of data-driven decisions:
  • Definitions and achievable trade-offs
  • Evaluation of novel AI/ML based predictions and comparison with existing / human-based decisions
  • Acceptance of AI/ML-based decisions in specific contexts
  • Exploration of existing biases in business analytics scenarios
Novel AI/ML applications and forecasting methods in Accounting and Corporate Governance
Philipp Hampl, M.A., M.A., M.Sc.
Impression Management in financial reports:
  • How does the strength of labor unions influence the CEO impression management techniques in financial disclosure data?
  • How do CEO impression management techniques differ across tenure or Gender?
  • How can impression management in financial disclosure affect stock market/accounting performance of a firm (create a link to behavioral economics)?
  • How does authenticity of CEOs in financial disclosure data affect financial performance of a firm?
Narratology/Storytelling in financial reports:
  • How does readability in financial reports affect financial performance/fraud risk?
  • Why is the sentiment of financial disclosure data a leading and/or lagging indicator of financial/accounting performance?
  • How does the sentiment of financial disclosure data affect financial/accounting performance?
Olga Parshukova, MA
  • The ownership structure of German companies and corporate governance
  • Institutional investors, agency theory and executive compensation
  • Proxy advisors and voting recommendations
Jelena Radovanovic, MSc
  • Machine learning models for bankruptcy prediction

Research Focus

If you are interested in a Bachelor's or Master's thesis topic from one of our disciplines, please contact your chosen supervisor directly:

Prof. Dr. Anne d'Arcy
  • Corporate Governance
  • Accounting
  • Risk Management
  • Capital Markets and
  • Internal Control
Stefan Edlinger-Bach, MSc (WU)
  • Informational Governance
  • Accountability System Design
  • Organizational Controls
  • Quantitative and Qualitative Research
Dr. Christian Haas
  • Novel applications of predictive/prescriptive analytics, (big) data analytics, and Machine Learning
  • Fairness/bias/explainability/accountability in data-driven/algorithmic decision making
  • Strategic manipulation in decision scenarios
Madeline Kalista, M.S.
  • Financial Accounting
  • Earnings Management
  • International Accounting
Olga Parshukova, MA
  • Corporate Governance
  • Executive Compensation

Of course, students are welcome to present own approaches for their Thesis.

As the supervision depends on available resources, we suggest to get in contact as early as possible with the probable supervisor.