Lukas Lanz

Forschungsinteressen

• Artificial Intelligence
• AI Leadership
• Human-AI-Interaction
• Economic Games & Socially Desirable Responding

Veröffentlichungen

• Lanz, L., Thielmann, I. & Gerpott, F. (2022). Are social desirability scales desirable? A meta-analytic test of the validity of social desirability scales in the context of prosocial behavior. Journal of Personality, 90(2), doi.org/10.1111/jopy.12662.
• Lanz, L., Briker, R., & Gerpott, F. H. (2022). Adherence to Unethical Instructions from AI Supervisors: Combining Experiments with Machine Learning. In Academy of Management Proceedings 2022 (1). doi.org/10.5465/AMBPP.2022.12392abstract

Bildung

• Doctoral Student – WHU Otto Beisheim School of Management
• M.Sc. Human Decision Science (with distinction) – Maastricht University
• Visiting semester M.Sc. Economics – Católica Lisbon School of Business & Economics
• B.Sc. Economics (minor Business Administration) – University of Mannheim

Berufserfahrung und Kooperationen

• Consulting in Innovation and Digitalization
• Coaching in Agile Methods
• Risk Management & Reporting in the Insurance Industry
• Business Development in Early-Stage Startup