Answer:
rivalry among existing competitors
Explanation:
The Porters' 5 forces is used to analyse the competitiveness among firms in an industry.
Porter's 5 forces include :
- Competition in the industry : the higher the number of companies in the industry, the lower the power an individual firm possesses. For example, if an industry increases it price, a consumer can easily shift to the consumption of substitutes
- Potential of new entrants into the industry : If there are low barriers to entry in an industry, firms in the industry experience greater competition
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Power of suppliers : the higher the number of suppliers in the industry, the higher the bargaining power of firms in the industry and the greater the power they possess
- Power of customers : the larger the number of customers, the greater the power firms possess
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Threat of substitute product : if there are little or no substitutes for the goods produced by companies, the greater the power the firms possess
Answer:
b
Explanation:
when firms enter into an industry, there are more firms competing for customers. This would shift the demand curve to the right as supply increases. An increase in supply would lead to a reduction in price.
If firms leave the industry, there would be a reduction in supply and price would increase
Given that Conrad's time of service delivery is slow, my advice to him would be that he has to address his quality and his service.
<h3>What is competitive advantage?</h3>
This term as it applies to the question has to do with the advantage that a business has over its competitors.
For Conrad to have this advantage they must try to serve their customers better and stop making them wait for too long.
Read more competitive advantage on here:
brainly.com/question/14030554
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Answer:
FIFO LIFO Weighted average
Cost of goods sold 1,060 1,380 (1,060 + 1,380)/2 = $1,220
Ending inventory 1,380 1,060 (1,060 + 1,380)/2 = $1,220
Explanation:
Attached is the tabulated solutions
Answer:
The standard deviation of the returns on the stock is 15.56%(Approx).
Explanation:
Expected Return=Respective return*Respective probability
=(20.4*0.67)+(-12.7*0.33)=9.477%
probability Return probability*(Return-Expected Return)^2
0.67 20.4 0.67*(20.4-9.477)^2=79.93899243
0.33 -12.7 0.33*(-12.7-9.477)^2=162.3003786
Total=242.239371%
Standard deviation=[Total probability*(Return-Expected Return)^2/Total probability]^(1/2)
=15.56%(Approx).
