Answer:
The credit manager, and the Controller
Explanation:
The credit manager is responsible for maintaining the credit policy, in order to fulfil this target they are responsible to look at the sales and ensure the credit sales are in the sales limit.
Further that the company do not have the bad debts, it shall verify each customer properly that they have enough funds, and ensure their credibility.
Controller is responsible for maintaining the financial records of accounts, and reporting the transactions to managers.
Accordingly, Credit manager along with controller are directly responsible to the vice president of finance.
Answer:
$39.40
Explanation:
According to the situation, the solution is as follows
The Net asset value of the fund is
= (Current worth of portfolio - liabilities) ÷ (outstanding shares)
= ($200 million - $3 million) ÷ (5 million shares)
= $39.40
Basically we applied the above formula in order to determine the net asset value of the fund.
In the context of innovation streams,design competition is the concept that the given scenario best illustrates.
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Explanation:</u></h3>
When similar products are sold by many different companies there lies a rivalry between the companies which is called as competition. The main aim of all the business is to gain profit and market share. The development of the marketing strategy is mainly based on the competition that exists in the market for a product. The competition that exists with the design of the products refers to the design competition.
Innovations play a major role in the Design Competition. In the given scenario, the company Mozbert advertises for its wireless headsets with the ease of its usage and the difference from the wired headsets. Beloway, another wired headset manufacturer defends himself by giving some offers and discount for retaining his customers. Thus this is explains the concept called design competition, as the competition lies between the wired and wireless headsets.
Answer:
The correct answer is genetic algorithms
Explanation:
Genetic Algorithms are adaptive methods that can be used to solve search and optimization problems. They are based on the genetic process of living organisms. Throughout the generations, populations evolve in nature according to the principles of natural selection and the survival of the strongest, postulated by Darwin (1859).
By imitating this process, Genetic Algorithms are able to create solutions for real-world problems. The evolution of these solutions towards optimal values of the problem depends to a large extent on their adequate codification.