Consequence Measure
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A Consequence Measure is a score that is used to determine the magnitude or level of risks.
- AKA: Consequence Score.
- …
- Example(s):
- likelihood score and consequence scores table example:
Likelihood | Consequences | ||||
---|---|---|---|---|---|
Negligible | Low | Medium | High | Very High | |
A (almost certain) | M | M | H | H | E |
B (likely) | L | M | H | H | H |
C (possible) | L | M | M | H | H |
D (unlikely) | L | L | M | H | H |
E (rare) | L | L | L | M | M |
- Counter-Example(s):
- See: Consequence Analysis, Risk Management System, Logical Consequence, Probability Analysis.
References
2020
- (Sielearning, 2020) ⇒ https://sielearning.tafensw.edu.au/MBA/9791K/BusinessServices/lo/1207_020138_608K_03_wi/1207_020138_608K_0307_wi.htm Retrived: 2020-10-10.
- QUOTE: Risk analyses are generally directed at the negative consequence of risks. The consequence measure therefore reflects the losses or undesired outcome that might arise. However, risk management is increasingly being applied to identify and prioritise opportunities as the risk associated with not exploiting an opportunity or embarking on a particular business strategy could be considerable. In many cases, the 'upside risks' are potentially more serious than the risk that bad events will occur (ie, the 'downside risk'). When considering opportunities, the likelihood measure need not change, as it will describe the chance that a benefit will arise. The consequence measure must, however, be adjusted.