Answer:
Behavior
Explanation:
The era has been changed most of the customer is shopping online and if they are found defective in the product, the customer always dials a customer care number by resolving their problem.
For example a customer buys a laptop online and after a few days, customers found hanging issues. Customers will dial a customer care number of that particular brand and get helped from them.
Why the customer is found helped? The simple reason that the executive who represents the brand learns lessons and get trained for behavior and the knowledge of that product from the company. The customer looks behavior of the executive and from this, the customer builds a relationship with a brand.
On the other hand, the calls are being monitored for quality and training purposes.
Answer: The average collection period of the receivables in terms of days was 73 days.
Explanation:
Given that,
Accounts Receivable at the beginning of the year = $390,000
Accounts Receivable at the end of the year = $410,000
Net credit sales during the year = $2,000,000
Average collection period of the receivables in terms of days:
Average accounts receivables = 
= 4,00,000
Net credit sales =
= 5
∴ Accounts receivable days =
= 73 days
The average collection period of the receivables in terms of days was 73 days.
The answer is globalization.
This is when you are now bringing your economy from domestic to
international level where you are now engaging in business transactions with other
countries overseas. There will be many hurdles but these are necessary when
competing in the global market.
Answer:
Stock R more beta than Stock S = 4.2%
Explanation:
given data
Stock R beta = 1.8
Stock S beta = 0.75
expected rate of return = 9% = 0.09
risk-free rate = 5% = 0.05
solution
we get here Required Return
Required Return (Re) = risk-free rate + ( expected rate of return - risk-free rate ) beta ...........1
Required Return (Re) = 0.05 + ( 0.09 - 0.05 ) B
Required Return (Re) =
so here
Stock R = 0.05 + ( 0.09 - 0.05 ) 1.8
Stock R = 0.122 = 12.2 %
and
Stock S = 0.05 + ( 0.09 - 0.05 ) 0.75
Stock S = 0.08 = 8%
so here more risky stock is R and here less risky stock is S
Stock R is more beta than the Stock S.
Stock R more beta Stock S = 12.2 % - 8%
Stock R more beta Stock S = 4.2%
Answer:
Imagine you have just flicked a lighter. If you don’t see the flame, you will naturally try a second time. If after the second attempt it does not strike a flame, you will repeat your action again and again until it does. Eventually, you’ll see the flame and you’ll know that your lighter works. But what if it doesn’t? How long are you going to flick the lighter until you decide to give up?
Our everyday life is full of such decision dilemmas and uncertainty. We constantly have to choose between options, whether we make the most ordinary decisions – should I continue flicking this lighter? – or life-changing choices – should I leave this relationship? We can either keep on doing what we are already used to do, or risk unexplored options that could turn out much more valuable.
Some people are naturally inclined to take more chances, while others prefer to hold on to what they know best. Yet being curious and explorative is fundamental for humans and animals to find out how best to harvest resources such as water, food or money. While looking at the Belém Tower – a symbol of Portugal’s great maritime discoveries – from my office window, I often wonder what drives people to explore the unknown and what goes on in their brains when weighing pros and cons for trying something new. To answer these questions, together with Dr. Zachary Mainen and his team of neuroscientists, we investigate how the brain deals with uncertainty when making decisions.
Explanation:
It is well known that the decision-making process results from communication between the prefrontal cortex (working memory) and hippocampus (long-term memory). However, there are other regions of the brain that play essential roles in making decisions, but their exact mechanisms of action still are unknown.