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Naslov:Identifying key risks for nonfinancial companies
Avtorji:ID Jagrič, Timotej (Avtor)
ID Grbenic, Stefan Otto (Avtor)
ID Herman, Aljaž (Avtor)
ID Galun, Maša (Avtor)
Datoteke:.pdf RAZ_Jagric_Timotej_2025.pdf (1,06 MB)
MD5: 9FF5A5FA5E81EC14D769A153D698B043
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:EPF - Ekonomsko-poslovna fakulteta
Opis:This month’s edition of the IFAI Global Risk Radar offers a comprehensive assessment of global risk signals, derived from news sources worldwide and IFAI’s expanded taxonomy of financial, operational, environmental, market, geopolitical, and systemic risks. The analysis indicates a marked divergence among risk groups, with customer-facing risks, organisational culture, and operational disruptions exhibiting elevated Risk Frequency Indicators, while environment-related and ESG-linked risks remain in a cooling phase. At the individual-risk level, corruption and fraud, change-management failures, and water-supply crises show the strongest upward deviations relative to historical patterns, reffecting a broader global environment characterised by governance concerns, infrastructure fragilities, and climate-related stress. Several high-frequency indicators display co-movements that align with recent geopolitical escalation, heightened market volatility, and tightening financial conditions in multiple regions. These findings align with recent international policy reports that document persistent inffationary pressures (IMF, 2025), governance-related vulnerabilities (OECD, 2025a), and rising political instability in several emerging markets (World Bank, 2025). For companies, the implications are substantial: a combination of structural shocks, rapid shifts in investor sentiment, and intensifying supply-chain fragility requires a more adaptive and data-driven risk management approach.
Ključne besede:risk register, AI detection risk model, high frequencies analysis
Verzija publikacije:Objavljena publikacija
Datum objave:25.11.2025
Leto izida:2025
Št. strani:str. 3-12
Številčenje:Letn. 1, št. 1
PID:20.500.12556/DKUM-96253 Novo okno
UDK:004.8
COBISS.SI-ID:261202947 Novo okno
ISSN pri članku:3024-0883
Datum objave v DKUM:12.12.2025
Število ogledov:149
Število prenosov:11
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:IFAI global risk radar
Založnik:Institute of Finance and Artificial Intelligence, University of Maribor
ISSN:3024-0883
COBISS.SI-ID:259314179 Novo okno

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

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