Center for Intelligence and Security Studies (CISS)
| Gebäude 36, Zimmer 1153 | |
| +49 89 6004-4249 | |
| christian.nitzl@unibw.de | |
PD Dr. rer. pol. habil. Christian Nitzl
Dr. Christian Nitzl studied business administration at Ludwig-Maximilians-Universität in Munich. He received his doctorate (2012) and habilitation (2020) from the Universität der Bundeswehr München. Since January 2020, Dr. Nitzl has been a Senior Researcher at the CISS.
His research interests are in the governance of organizations using information systems, the use of information by managers in decision-making, methods of forecasting rare events, and statistical analysis methods. According to Scopus, he is among the top 2%, and according to ResearchGate, he is among the top 1% most cited scholars in his field worldwide. He has published 50+ articles in scientific journals in management accounting, public management, information systems, computer science, and others. To date, he has served as a reviewer for top-tier journals at several times. He has received various awards and participated in multiple externally funded projects. He also regularly coaches researchers and practitioners and is a frequently invited speaker.
Currently, Dr. Nitzl is active in teaching at the WOW Faculty of the University of the Armed Forces Munich, teaching in the MISS- module "Theoretical Approaches and Methods in Intelligence and Security Studies", supervising MISS master theses and doctoral dissertations, and is involved in the examination and selection organization of the MISS program.
See also: https://www.linkedin.com/in/dr-christian-nitzl-4a8863120/
Research Interests and Expertise
Governance of organizations by means of information systems
Methods for the forecasting of rare events
Influence of psychological factors in decision making
Composite-based structural equation modeling
Main Publications
(A complete list of publications can be downloaded here)
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)
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.
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).