Answer:
Project Alpha 81
Project Beta 81
Project Gamma 83
Project Delta 81
Among the four projects the most likely candidates to be implemented will
be Project Gamma .
Explanation:
Screening Model
1.Calculation for Project Alpha
Important Weight×Weight Score = Weighted Score
Quality 5 × 1 =5
Cost 3 ×7 =21
Speed 7 ×5 =35
Visibility 5 ×3= 15
Reliability 1× 5 =5
Total Score =81
2.Important Weight ×Weight Score = Weighted Score
Calculation for Project Beta
Quality 5 × 3 =15
Cost 3 ×7 =21
Speed 7× 5 =35
Visibility 5×1 =5
Reliability 1 ×5 =5
Total Score =81
3.Important Weight ×Weight Score = Weighted Score
Calculation for Project Gamma
Quality 5 ×3 =15
Cost 3 ×5 =15
Speed 7× 3= 21
Visibility 5×5 =25
Reliability 1×7 =7
Total Score=83
4.Important Weight ×Weight Score = Weighted Score
Calculation for project Delta
Quality 5 ×5 =25
Cost 3 ×3 =9
Speed 7× 5 =35
Visibility 5×1 =5
Reliability 1 ×7 =7
Total Score =81
Therefore among the four projects the most likely candidates to be implemented will
be Project Gamma because it has the highest
score with a score of 83.
Answer:
b. When there is a lack of importance of the buyer to the supplier group
Explanation:
According to Porter there are five forces that can cause rivalry in a production industry. These are supplier power, threat of new entrants, buyer power, threat of substitutes, and degree of rivalry.
Supplier power is when suppliers are able to benefit from the producers by increasing prices of inputs and gaining some industry profit. Since suppliers supply input and labour to the producer they have a greater control of there is lack of importance of the buyer to the supplier group.
This means that the supplier group has more control on price and quality it supplies to the buyer with buyer having little choice but to buy.
If however buyer is more important to the supplier it means they can control price and quality of inputs
Answer:
This question is incomplete, the options are missing. The options are the following:
a) Ceiling effect.
b) Floor Effect.
And the correct answer is B: Floor effect.
Explanation:
To begin with, in the field of statistics the term known as "Floor Effect" refers to the situation in where the gathering of data regarding an statistic instrument about a subject turns out to have a lower limit to the data values it can reliably specify. And the floor is understood to be as that lower limit in the chart or graphic created in the study of the subject. Moreover, this term is also used in the field of psychology when test are done to subjects in study as well.
