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Scenáre v predikcii a prevencii konfliktov : adaptácia trendovej dopadovej analýzy

Autoři

ILAVSKÁ Adriana

Rok publikování 2020
Druh Článek ve sborníku
Konference Národná a medzinárodná bezpečnosť 2020 : zbornik prispevkov z 11 medzinárodnej vedeckej konferencie
Fakulta / Pracoviště MU

Fakulta sociálních studií

Citace
www sborník
Klíčová slova conflict prediction; scenario building; trend impact analysis; QCA
Přiložené soubory
Popis Scenario-building methods are widely employed to assist prediction and planning across a broad field of applications. However, conflict prediction and prevention planning has predominantly relied on extrapolation techniques and long-term trend assessments by experts because of key disadvantages of scenarios - high number of possible results and assignment of probabilities. To address those, numerous techniques for scenarios reduction have been designed. The paper proposes an adaptation of one of them - Trend Impact Analysis (TIA). Proposed adaptation combines qualitative comparative analysis (QCA) and TIA to achieve systematic reduction of relevant scenarios by assigning probabilities and impact to individual scenarios. The application is illustrated on a set of 316 cases in 68 countries. The results show that combination of methods reduces the number of probable scenarios and increases the precision of predictions necessary for effective analysis and conflict prevention.
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