The answer to the question stated above is the fourth option: <span>set of research solutions</span>
Problem definition requires the researcher to specify what information is needed to assist in either solving problems or identifying opportunities bydeveloping a set of research solutions.
Answer:
Explanation:
Organizational structure is what is best for
1. lowering cost:
what would be most suitable here is the product based division structure. this is because the main goal is the launching of new product lines and also getting ranges that are in existence to be bigger. the divisions are smaller here, which is given to each single product line which may have their own R&D and response divisions. Efficiency is increased, product development cycle is reduced and so also is cost lowered.
2. increasing responsiveness:
what is best here is region/geographic based structure. this is as divisions that are smaller are given to distinct areas. this increases region specificness as well as the fact that it takes care of any grievances. the team here have good knowledge of the needs of the specific region and their socio cultural background.
3. both
the matrix structure is best when their is a goal to lower cost and at the same time increase responsiveness. the divisions are of two dimensions, primary and secondary. this therefore increases sharing of resources and also cost reduction. it uses both if these goals to enhance efficiency.
I hope this helps bur i believe the answer is C correct me if im wrng!
~ Dipper Pines
the price of this bill is $64669.58 in 60 days.
In this question the given things is:
a treasury bill has a face value of $65,000.
yield percentace = 3.05%
time = 60days
the price of this bill = a face value of a treasury- (a face value of a treasury *yield percentage * given time per year)
the price of this bill = $65,000 - $65,000*(3.05/100)*(60/360)
the price of this bill =$64669.58.
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Answer:
11,000 people
Explanation:
fixed costs per store $80,000
variable cost ratio 0.80
average sale per customer $15
average customer sales per week 1.75
customers as portion of population 4%
each customer shops 1.75 x 52 = 91 times per year
contribution margin per visit = $15 - ($15 x 0.8) = $3
contribution margin per client per year = $3 x 91 = $273
in order to make $40,000 in profits, you need at least:
($80,000 + $40,000) / $273 = 439.56 ≈ 440 customers
to determine the city's total population = 440 / 0.04 = 11,000
