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3 years ago

Within the marketing concept, a service orientation is an integrated organizational effort that revolves around.

Business

1 answer:

Mekhanik [1.2K]3 years ago

7 0

Answer: making sure customers are satisfied

Explanation: In simple words, service orientation refers to the mindset in the organisation under which all employees within work for a sole objective, that is, customer satisfaction.

Such behavior is implemented by the top management and requires continuous efforts. The domain of applicability of such behavior is after the sale is made.

This behavior is developed by the organisation to make sure that their market share remains constant and existing customers do not shift their demands.

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A brand of wine is priced at only $5 per bottle, far below the market price of most high quality wines. Before any reputation ex

lakkis [162]

Answer:

Re-branding

Explanation:

This is an example of re-branding the product. Re-branding is a strategy for marketing that associates a new name, image and designs to the existing product so as to change consumer perception of that product. This helps bring forward a new brand identity for an existing product allowing it to be able to be competitive and differentiated. It is basically now marketed as a new and or improved product.

Hope that helps.

8 0

4 years ago

Under LIFO, net income exists if revenues are sufficient to cover the __________ cost of the units of inventory sold, provided n

dolphi86 [110]

Answer:

<u>total</u>

Explanation:

Remember, a LIFO method of accounting for inventory differs in that it records the most recently produced items as sold first; meaning Last in, First Out. Thus leading to recording the lowest cost of older products in the inventory.

A case of lower Net income (income after deductions of cost) thus exists if revenues are sufficient to cover the total cost of the units of inventory sold which reduces taxes.

5 0

3 years ago

A company paid $517,000 to purchase equipment and $16,700 to have the equipment delivered to and installed in the company's prod

Maslowich

Answer:

Using the units-of-production method, the amount of depreciation expense would the company report in the income statement prepared for the year-ended October 31, 2018 = $ 228899

Explanation:

Given

Acquisition Cost of Equipment = $ 517,000+ $ 16700= $ 533,700

Total units of production= 29,700 hours

Residual Value = $ 6700

Units of Production= 12,900 hours

Formula:

Depreciation per unit= (Cost -Salvage value) / Total units of production* Units of Production

Depreciation per unit= ($ 533,700 - 6700/ 29700)*12900

Depreciation per unit=($ 52,7000 / 29700)*12900

Depreciation per unit=( 17.744)*12900

Depreciation per unit= 228898.98= $ 228899

As units of production are given we do not need to calculate it for half year. The depreciation is calculated for units of production.

5 0

3 years ago

You agree to make 24 deposits of $500 at the beginning of each month into a bank account. At the end of the 24th month, you will

sergey [27]

The answer & explanation for this question is given in the attachment below.

5 0

3 years ago

Read 2 more answers

A monopolist finds that a person’s demand for its product depends on the person’s age. The inverse demand function of someone of

KiRa [710]

Explanation:

A manufacturer of computer memory chips produces chips in lots of 1000. If nothing has gone wrong in the manufacturing process, at most 7 chips each lot would be defective, but if something does go wrong, there could be far more defective chips. If something goes wrong with a given lot, they discard the entire lot. It would be prohibitively expensive to test every chip in every lot, so they want to make the decision of whether or not to discard a given lot on the basis of the number of defective chips in a simple random sample. They decide they can afford to test 100 chips from each lot. You are hired as their statistician.

There is a tradeoff between the cost of eroneously discarding a good lot, and the cost of warranty claims if a bad lot is sold. The next few problems refer to this scenario.

Problem 8. (Continues previous problem.) A type I error occurs if (Q12)

Problem 9. (Continues previous problem.) A type II error occurs if (Q13)

Problem 10. (Continues previous problem.) Under the null hypothesis, the number of defective chips in a simple random sample of size 100 has a (Q14) distribution, with parameters (Q15)

Problem 11. (Continues previous problem.) To have a chance of at most 2% of discarding a lot given that the lot is good, the test should reject if the number of defectives in the sample of size 100 is greater than or equal to (Q16)

Problem 12. (Continues previous problem.) In that case, the chance of rejecting the lot if it really has 50 defective chips is (Q17)

Problem 13. (Continues previous problem.) In the long run, the fraction of lots with 7 defectives that will get discarded erroneously by this test is (Q18)

Problem 14. (Continues previous problem.) The smallest number of defectives in the lot for which this test has at least a 98% chance of correctly detecting that the lot was bad is (Q19)

(Continues previous problem.) Suppose that whether or not a lot is good is random, that the long-run fraction of lots that are good is 95%, and that whether each lot is good is independent of whether any other lot or lots are good. Assume that the sample drawn from a lot is independent of whether the lot is good or bad. To simplify the problem even more, assume that good lots contain exactly 7 defective chips, and that bad lots contain exactly 50 defective chips.

Problem 15. (Continues previous problem.) The number of lots the manufacturer has to produce to get one good lot that is not rejected by the test has a (Q20) distribution, with parameters (Q21)

Problem 16. (Continues previous problem.) The expected number of lots the manufacturer must make to get one good lot that is not rejected by the test is (Q22)

Problem 17. (Continues previous problem.) With this test and this mix of good and bad lots, among the lots that pass the test, the long-run fraction of lots that are actually bad is (Q23)

7 0

3 years ago