Publications
Steindl, T. (2026). Artificial intelligence and corporate social irresponsibility, Corporate Social Responsibility and Environmental Management, forthcoming.
Brodeur, A., et al. (2026), AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science, PNAS, 123(22), e2524747123.
Küster, S., Steindl, T., & Göttsche, M. (2025).The informational content of key audit matters: Evidence from using artificial intelligence in textual analysis, Contemporary Accounting Research, 42(4), 2392-2423.
Steindl, T., Küster, S., & Hartlieb, S. (2025). Pricing firms’ biodiversity risk exposure: Empirical evidence from audit fees, Journal of Industrial Ecology, 29(3), 828-845.
Habermann, F. & Steindl, T. (2025). Stock Market Reactions to a Sovereign Wealth Fund's Broad-based Public Sustainability Engagement: European Evidence, Journal of Economic Behavior & Organization, 231, 106915.
Steindl, T., Habermann, F., & Küster, S. (2024). Carbon disclosures and information asymmetry: Empirical evidence on the importance of text in understanding numerical emission allowance disclosures, Journal of Industrial Ecology, 28(6), 1883-1899.
Steindl, T. Cultural Rule Orientation, Legal Institutions, and the Credibility of Corporate Social Responsibility Reports, Corporate Social Responsibility and Environmental Management, 2021, Vol. 28, No. 1, 310-331.
Göttsche, M., Küster, S., & Steindl, T. (2021). The Usefulness of Non-IFRS Segment Data, Journal of International Accounting, Auditing and Taxation, 43(2), 100382. (VHB Rating 2024 RECH: B)
Göttsche, M., Küster, S., & Steindl, T. (2020). To Reveal or Not to Reveal? The Influence of Cultural Secrecy on Discretionary Disclosure Decisions, The International Journal of Accounting, 55(3), 2050012.
Goettsche, M., Steindl, T., & Gietl, S. (2016). Do Customers Affect the Value Relevance of Sustainability Reporting? Empirical Evidence on Stakeholder Interdependence, Business Strategy and the Environment, 25(3), 149-164.