Exploring the Determinants of Crime-Terror Cooperation using Machine Learning
This study seeks to further strengthen extant knowledge regarding terrorist group involvement in organized criminal activity through two means. First, it measures a set of environmental and organizational characteristics for a sample of well-known terrorist organizations based on the crime-terror li...
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| Published in: | Journal of quantitative criminology |
|---|---|
| Main Author: | |
| Contributors: | |
| Format: | Electronic Article |
| Language: | English |
| Published: |
2020
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| In: | Journal of quantitative criminology
Year: 2020, Volume: 36, Issue: 3, Pages: 527-558 |
| Online Access: |
Volltext (Resolving-System) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
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| 520 | |a This study seeks to further strengthen extant knowledge regarding terrorist group involvement in organized criminal activity through two means. First, it measures a set of environmental and organizational characteristics for a sample of well-known terrorist organizations based on the crime-terror literature. Second, it illustrates the utility of inductive research designs for examining patterns in the criminal behavior of terrorist groups for theory building and the potential risk classification of new terrorist organizations in the future. | ||
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