2026
Open Source Intelligence (OSINT) and the fog of war at the strategic level : Defence industrial production in Russia
KRPEC, Oldřich; Martin CHOVANČÍK a Adriana ILAVSKÁZákladní údaje
Originální název
Open Source Intelligence (OSINT) and the fog of war at the strategic level : Defence industrial production in Russia
Autoři
Vydání
European Journal of International Security, UK, CAMBRIDGE UNIV PRESS, 2026, 2057-5637
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50601 Political science
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.500 v roce 2024
Označené pro přenos do RIV
Ne
Organizační jednotka
Fakulta sociálních studií
UT WoS
EID Scopus
Klíčová slova anglicky
defence industry; defence production; open source intelligence
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 14. 4. 2026 17:04, Mgr. Petra Trembecká, Ph.D.
Anotace
V originále
The war in Ukraine has increased attention to Open Source Intelligence (OSINT), though most research focuses on tactical use or effects on public opinion. This article asks whether OSINF can be methodically transformed into reliable strategic intelligence under wartime uncertainty. Using Russia’s defence industry as a case study, we compare three production scenarios: official claims, expert estimates, and an Open Source Information–based (OSINF) model derived from shares in battlefield losses. The OSINT scenario shows large discrepancies, suggesting actual output is much lower than reported. We argue that with proper methodological treatment, presented in the paper, OSINF now offers sufficient detail to assess national defence capacity. Our approach demonstrates OSINT’s potential to complement traditional intelligence by introducing a novel methodological framework for cross-validating OSINT-derived data against official claims and expert estimates. The findings engage scholarly debates on the integration of OSINT with conventional frameworks by providing a replicable and transparent model for producing more accurate strategic assessments, even at the strategic level.
Návaznosti
| GA22-25205S, projekt VaV |
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