Dr. rer. pol. Christian Nitzl

Dr. rer. pol. Christian Nitzl
Center for Intelligence and Security Studies (CISS)
Gebäude 36, Zimmer 1153
089/6004 4249
christian.nitzl@unibw.de

Dr. rer. pol. Christian Nitzl

Dr. Christian Nitzl studied business administration at the Ludwigs-Maximilians-University München with a focus on capital market research, empirical research methods and game theory. In 2012, Christian Nitzl received his doctorate with the top grade "summa cum laude" from the Universität der Bundeswehr München. In addition to his scientific work, Dr. Nitzl was involved in the founding of a company and developed predictive cost estimation models for Airbus or the BAAINBw. Since January 2020, Dr Nitzl has been Senior Researcher at the CISS at the Universität der Bundeswehr München.


His research interests include the development and application of path models for crisis prediction, the development of relevant indicators for crisis prediction, the use of artificial intelligence/big data in intelligence and security related areas, and human decision behaviour in crisis prediction. Dr. Nitzl has published in Acta Astronautica, Business Research, Financial Accountability & Management, Hospital Pharmacy, Industrial Management & Data Systems, Journal of Accounting Literature, Journal of Accounting & Organizational Change, Journal of Banking and Finance, Journal of Business Research, Journal of Health Organization and Management, Journal of Management Control, Journal of Public and Nonprofit Management, Public Management Review and Die Betriebswirtschaft, among others. So far, he has worked several times as a reviewer for top-class professional journals. Christian Nitzl has received several awards. In addition, he regularly coaches researchers, practitioners and is a frequently invited speaker.


Dr. Nitzl is currently active in teaching at the WOW Department at the Universität der Bundeswehr München.

 


 

Research Interests and Expertise

Crisis forecasting in intelligence and security related areas:
- human decision-making in crisis prediction;
- development and application of path models;
- development of relevant indicators;
- use of artificial intelligence/big data.

 


 

Main Publications

(A complete list of publications can be downloaded here)

 

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Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis, in: Journal of Business Research, 109, 101-110, 2020 (with Joseph F. Hair and Matt Howard)

 

 

 

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The Use of Partial Least Squares Structural Equation Modelling (PLS-SEM) in Management Accounting Research: Directions for Future Theory Development, in: Journal of Accounting Literature, 37, 19-35, 2016.

 

 

 

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Mediation Analyses in Partial Least Squares Structural Equation Modeling: Helping Researchers to Discuss More Sophisticated Models, in: Industrial Management & Data Systems, 116: 9, 1849-1864, 2016 (with José L. Roldán and Gabriel Cepeda).