Knowledge Risk
Risk has been computed from data provided for the parameters used during interviews with domain experts. There are 4 core parameters P1 to P4 and up to 4 additional but optional parameters available from a list of 6, P5 to P8. Additional optional parameters must be enabled to take part in the risk computation and must have a non zero weight. The parameters shown and the weights used to define risk in this specific study appear in the formulae below. Other parameters not shown are not involved in the risk computation for this study.
(1.0*P1 + 1.0*P2 + 1.0*P3 + (10.0 - 1.0*P4) + 1.0*P6 + (7.0 - 0.7*P7)) / 5.7
| Identifier | Name | Weight |
P1 |
Importance |
1.0 |
P2 |
Recovery |
1.0 |
P3 |
Study-Exp |
1.0 |
P4 |
Known By |
-1.0 |
P6 |
Specialised |
1.0 |
P7 |
Stability |
-0.7 |
The top 10% of knowledge from the study that is at highest risk is listed below.
| Risk Value | Knowledge Name |
7.82 |
manpower capabilities |
7.7 |
System configuration |
7.7 |
Service Evaluation |
7.58 |
System diagnostics |
7.53 |
Customer Services |
7.47 |
Diagnose faults |
7.4 |
Site survey |
7.23 |
Diagnostics fault finding methods |
7.12 |
PC architecture and Operating System details |
7.0 |
Design service improvements |
7.0 |
Design service evaluation schemes |
The average risk for the entire knowledge structure is 4.855. Whilst the average risk of the highest ten percent of the knowledge is 7.414.
The highest risk knowledge elements shown in the table above are those elements of Knowledge from the Knowledge Study that require more urgent attention. The formulae used to compute risk shows why these knowledge elements are considered to be the highest risk elements from the study.
Spread of Knowledge Node RISK Values
37
00
10
5
Average Value = 4.86
This bar chart shows how many low, medium and high risk knowledge elements there are in the Knowledge Structure Map. Where low risk knowledge has a risk value approaching zero and high risk knowledge has a risk value approaching ten. The bars identify whole numbers only but these can be compared with the figures for the top 10% of high risk knowledge elements calculated to two decimal places, in the table above.
The highest risk prerequisite knowledge families are listed below.
| Family Risk Value | Knowledge Name |
5.992 |
Service Evaluation |
5.712 |
Scheduling activities |
5.182 |
Diagnose faults |
5.162 |
PC architecture and Operating System details |
5.122 |
Commissioning a System |
5.032 |
System diagnostics |
4.932 |
Customer Services |
4.912 |
Detailed PC architecture |
4.762 |
Planning and Logistics |
4.722 |
System testing |
The values printed in bold in the table above indicate knowledge that has a high average family risk and is also a high risk knowledge item itself.
The average risk of the highest ten percent of the knowledge prerequisite families is 5.152, whilst the average risk for knowledge families for the whole map is 2.122
A prerequisite knowledge family is all of the knowledge that needs to be known before a full understanding of a particular knowledge item can be gained. Therefore, knowledge items with a high average prerequisite family risk are items that should be given urgent consideration, particularly if they concern important operational activities.