Holger Steinmetz

Holger Steinmetz is a Senior Lecturer at the Chair for Corporate Management, Faculty IV (Business Administration), University of Trier. His academic work is grounded in work and organizational psychology with a strong methodological emphasis on structural equation modelling, causal inference, meta-analyses, and machine learning. He teaches methodological courses in the Master of Business Administration and Sustainability Management & Economics programs, including 'Statistics Refresher,' 'Business Analytics,' and 'Sustainability and AI,' with a focus on practical data analysis using R.

Research Interests:

• Structural Equation Modelling (SEM) and Meta-Analytic SEM (MASEM)
• Causal Inference and Advanced Quantitative Methods
• Machine Learning Applications in Business and Psychology
• Entrepreneurship and Family Firm Research
• Cross-Cultural and Organizational Psychology
• Sustainability and AI in Business Contexts

His recent publications reflect a strong trend toward methodological innovation in meta-analysis and SEM, applied to topics in entrepreneurship, sustainability, and organizational behavior. He frequently publishes in high-impact journals such as Entrepreneurship Theory and Practice, Management Review Quarterly, and Journal of Business Ethics. His research often involves collaboration with leading scholars in management and psychology.

Scientific Contributions:

• Author of methodological guides on SEM and meta-analysis using R
• Developer of community-augmented meta-analysis approaches
• Pioneer in applying machine learning to entrepreneurship and social data
• Contributor to public datasets (e.g., ZPID lockdown measures dataset)

Holger Steinmetz advises students at the bachelor's and master's levels and has been a research assistant, lecturer, and project lead across multiple institutions. Since 2007, he has worked as a part-time consultant with a scientific focus. He has held leadership roles at the Leibniz Institute for Psychology and Paderborn University. His work integrates rigorous methodology with real-world applications in business and policy.

Labs and Research Initiatives:

• Former Head of 'Big Data in Psychology' at Leibniz Institute for Psychology
• Scientific Director of the Paderborn Unit for Research on Entrepreneurship (PURE)
• Active contributor to open science through shared datasets and R code