John Little is known for his queueing theory which is basically a theory on the probability of a customer waiting in the same line. This is applicable in every establishment that does first come, first serve basis. The probability of a person staying in line, and not changing to other lines, is expressed by the so-called Little law. It states that the average number of customers in the waiting line is equal to the average effective arrival ate multiplied with the average time that the customer spends in the waiting line. This law is very useful and valid because it does not count into factors the miscellaneous things like process distribution, service distribution, service order, etc.
Strategies in the human resources sector are responsible for managing the company's human capital, identifying problems and allies, setting goals, pointing out targets and tactics that will make the company's culture stronger.
Some HR functions are:
- Manage internal relationships.
- Carry out recruitment and selection processes.
- Develop training and development programs.
Human capital is the most precious resource of organizations, since the business environment is increasingly competitive, and therefore the set of knowledge and learning in a company will be the factor to develop creativity and innovation.
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Answer:
<em>A. Cluster
</em>
Explanation:
Cluster sampling makes reference to a technique of sampling. <em>The researcher splits the population into different groups through cluster selection, called clusters.</em>
Next, a simple random selection of clusters is selected from the population. The researcher performs his study of sampled cluster data.
Cluster sampling has advantages and disadvantages comparable to simple random sampling and stratified sampling.
Cluster sampling, for example, is typically less reliable than either simple random sampling or stratified sampling given equal sample sizes.
On the other hand, if cluster travel costs are high, cluster sampling could be more price-effective than other approaches.
Answer:
The days' sales in receivables are B.148.37 days
Explanation:
The days' sales in receivables is calculated by using following formula:
The number of days' sales in receivables = 365/Accounts receivable turnover
In there:
Accounts receivable turnover = Net Credit Sales /Average Accounts Receivable
E-Shop, Inc. has net sales on account of $1,500,000 and average net accounts receivable of $610,000.
Accounts receivable turnover = $1,500,000/$610,000 = 2.46 times
The number of days' sales in receivables = 365/2.46 = 148.37 days