There are two actions or options available:
There are three states of return:
Based on above, the payoff table is as follows:
Alternatives |
Good Returns |
Average Returns |
Negative Returns |
Introduce New sector |
60 |
30 |
-40 |
Do not introduce new sector |
0 |
0 |
0 |
Probability |
0.4 |
0.3 |
0.3 |
The decision tree based on the above information:
The Expected Value for 1st Alternative (Introduce New Sector) = 0.4(60) + 0.3(30) + 0.3(-40) = 24+9-12 = 21
The Expected Value for 2st Alternative (Do not Introduce New Sector) = 0.4(0) + 0.3(0) + 0.3(0) = 0
Since, the best you can expect here is 21, hence, the 1st Alternative to introduce new sector is better option.
The airline should launch the new route based on Expected Value Criterion.
Drawing the decision tree based on the predicting ability of agency:
EVHire= 0.4(EVG) + 0.3 (EVA) +0.3 (EVN)
= 0.4(44) +0.3(34) +0.3(-16)
= 23
EVNo Hire = 21
Since the Expected value is higher when the agency is hired, hence, Chief of Marketing should take the help of agency.
Expected Value of Sample Information = Expected Value with Sample Information – Expected Value without Sample Information
So, in this case, the EVSI = EVHire – EVNo Hire = 23 – 21 = 2
Expected value of Perfect Information is calculated assuming we have the perfect information before taking the decision.
So the decision tree based on perfect knowledge will be:
Only for Good returns and Average returns, airlines will choose to introduce new sector and for negative returns it will choose not to introduce new sector.
Hence, EVPerfect Information = 0.4(60) + 0.3(30) + 0.3(0) = 33
EVPI = EVPerfect Information - EVImPerfect Information
= 33 – 21 = 12
Hence, EVPI =12 and EVSI = 2
Operation. The airline planning division based on its analysis envisages that there would fill -4...