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
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.
Currently, the following, specific topics are available:
Stefan Edlinger-Bach, MSc (WU) (English) 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 (English) Fairness, accountability, transparency, and explainability of data-driven decisions: Novel AI/ML applications and forecasting methods in Accounting and Corporate Governance 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 Philipp Hampl, M.A., M.A., M.Sc. (German/English) Impression Management in financial reports: Narratology/Storytelling 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? 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 (English) The ownership structure of German companies and corporate governance Institutional investors, agency theory and executive compensation Proxy advisors and voting recommendations Jelena Radovanovic, MSc (German/English) 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.