Answer:
True
Explanation:
Firm A is operating at full capacity, if its sales keep increasing, then t will need to invest to expand its production capacity. Since firm B is operating below full capacity level, if its sales keep increasing it will have some spare production capacity it can use before operating at full capacity.
Therefore firm A will need to invest in an expansion of its production capacity while firm B can keep operating without new investments.
Similar to a stock split, a stock <u>dividend</u> also distributes additional shares of stock to existing stockholders on a pro rata basis at no cost to the stockholders.
A stock split is a decision made by the board of directors of a firm to issue more shares to present owners in order to increase the number of shares outstanding.
A stock split is a division of issued shares in a ratio determined by the company, whereas a stock dividend is a dividend paid in the form of extra shares. While in a stock split, already issued shares are divided in accordance with a predetermined ratio, a stock dividend gives stockholders extra shares.
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Answer:
product bundle
Explanation:
Product bundling is a sales promotion strategy that involves marketers offer a discount on two or more items sold together as a single item. Complementary goods, or similar items are packaged and offered to consumers. Product bundling is also called package deals.
Product bundling may be targeted to a particular item on the bundle or both. Due to the discount offered, product bundling increases the revenues from the products on offer. It also can increase the market share for each of the products on offer. In this case, a haircut and a conditioning treatment are complementary services. Bundling them together encourages consumption for both.
Answer:
11.63 million dollar
Explanation:
In 2005 the construction cost index was 1746 , in 2015 , it was 3260.
change in index in 10 years = 3260-1746 = 1514
change in 5 years ( estimated ) = 757
Estimated index in 2010 = 1746 + 757
= 2503
Estimated index in 2020 = 3260 + 757
= 4017
Value of building in 2010 = 1746 million dollar
Value of similar building - X
X / 1746 = index in 2020 (probable ) / index in 2010
X / 7.25 = 4017 / 2503
X = 11.63 million dollar
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
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