Christian Nitzl
Biographic Data
| ID | 6560419 |
|---|---|
| NAME | Christian Nitzl |
| GIVEN NAMES | Christian |
| FAMILY NAME | Nitzl |
| SIGNATURE | NITZL C |
| AFFILIATIONS | Universität der Bundeswehr München |
| ORCID | 0000-0001-8480-3916 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
The use of artificial intelligence in military intelligence: An experimental investigation of added value in the analysis process
This study explores the potential of AI to support the work of military intelligence analysts. In the study, 30 participants were randomly assigned to an experimental condition (in which they could use a proprietary AI tool) and a control group (no access to the AI tool). In both conditions, participants had access to the same dataset of 50 media articles and were asked to provide a comprehensive picture in response to a series of realistic milit…
Predicting Novel Terrorism: Media Coverage as Early-Warning System of Novelty in Terror Attacks
In this article, we argue that the process of predicting terrorist attacks needs to integrate the evolving dynamic of terrorism and we make a case for novelty as crucial feature to encompass terrorism’s changing nature. To predict when and how terrorist organizations will conduct their next attack, and whether it will have a novel approach, we base our analysis on media coverage. As media continuously covers political, economic, and societal anal…
The effects of public service motivation, risk propensity and risk perception on defensive decision-making in public administrations
Purpose Drawing on the literature on public service motivation, the authors investigate the relationship between public service motivation and defensive decision-making. Further, the authors explore risk propensity and risk perception as potential antecedents of defensive decision-making. Design/methodology/approach Based on survey data from 144 German public financial managers of municipalities and federal agencies, the authors find no significa…
Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!
Mediation and conditional process analyses have become popular approaches for examining the mechanisms by which effects operate and the factors that influence them. To estimate mediation models, researchers often augment their structural equation modeling (SEM) analyses with additional regression analyses using the PROCESS macro. This duality is surprising considering that research has long acknowledged the limitations of regression analyses when…
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Public service motivation and prosocial motivation: Two sides of the same coin
This study raises the important question of how public service motivation and prosocial motivation are related to one another and how, together, these two concepts affect behavioural outcomes of public employees. Based on a sample of 747 public employees and using partial least squares structural equation model, we analyse the relationships between public service motivation, prosocial motivation, and different behavioural outcome variables in a s…
Partial least squares structural equation modeling-based discrete choice modeling: An illustration in modeling retailer choice
Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute levels, is challenging. This article substantiates the usefulness of partial least squares structural equation modeling (PLS-SEM) for the analysis of stated …
Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples
Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models
Purpose Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use al…
The use of artificial intelligence in military intelligence: An experimental investigation of added value in the analysis process
This study explores the potential of AI to support the work of military intelligence analysts. In the study, 30 participants were randomly assigned to an experimental condition (in which they could use a proprietary AI tool) and a control group (no access to the AI tool). In both conditions, participants had access to the same dataset of 50 media articles and were asked to provide a comprehensive picture in response to a series of realistic milit…
Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models
Purpose Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use al…
Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples
Partial least squares structural equation modeling-based discrete choice modeling: An illustration in modeling retailer choice
Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute levels, is challenging. This article substantiates the usefulness of partial least squares structural equation modeling (PLS-SEM) for the analysis of stated …
Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!
Mediation and conditional process analyses have become popular approaches for examining the mechanisms by which effects operate and the factors that influence them. To estimate mediation models, researchers often augment their structural equation modeling (SEM) analyses with additional regression analyses using the PROCESS macro. This duality is surprising considering that research has long acknowledged the limitations of regression analyses when…
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Public service motivation and prosocial motivation: Two sides of the same coin
This study raises the important question of how public service motivation and prosocial motivation are related to one another and how, together, these two concepts affect behavioural outcomes of public employees. Based on a sample of 747 public employees and using partial least squares structural equation model, we analyse the relationships between public service motivation, prosocial motivation, and different behavioural outcome variables in a s…
The effects of public service motivation, risk propensity and risk perception on defensive decision-making in public administrations
Purpose Drawing on the literature on public service motivation, the authors investigate the relationship between public service motivation and defensive decision-making. Further, the authors explore risk propensity and risk perception as potential antecedents of defensive decision-making. Design/methodology/approach Based on survey data from 144 German public financial managers of municipalities and federal agencies, the authors find no significa…
Predicting Novel Terrorism: Media Coverage as Early-Warning System of Novelty in Terror Attacks
In this article, we argue that the process of predicting terrorist attacks needs to integrate the evolving dynamic of terrorism and we make a case for novelty as crucial feature to encompass terrorism’s changing nature. To predict when and how terrorist organizations will conduct their next attack, and whether it will have a novel approach, we base our analysis on media coverage. As media continuously covers political, economic, and societal anal…
The use of artificial intelligence in military intelligence: An experimental investigation of added value in the analysis process
This study explores the potential of AI to support the work of military intelligence analysts. In the study, 30 participants were randomly assigned to an experimental condition (in which they could use a proprietary AI tool) and a control group (no access to the AI tool). In both conditions, participants had access to the same dataset of 50 media articles and were asked to provide a comprehensive picture in response to a series of realistic milit…
Computer Science (8 works) · Psychology (6 works) · Structural equation modeling (6 works) · Machine learning (5 works) · Partial least squares regression (5 works) · Political science (4 works) · Artificial Intelligence (3 works) · Customer Service Quality and Loyalty (3 works) · Mathematics (3 works) · Mediation (3 works)