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Rom4ik [11]
3 years ago
12

Many compensation professionals are faced with making choices about which discretionary benefits to drop because funds are limit

ed and the costs of these benefits continually increase. Assume you make such choices. Rank order (at least five) discretionary benefits from the ones you would most likely eliminate to the ones you would least likely eliminate. Explain your rationale. Do such factors as the demographic composition of the workforce of the company matter
Business
1 answer:
katovenus [111]3 years ago
8 0

Answer:

Here are some of the Discretionary Benefits I will eliminate alongside my rationale:

1. Utility subscriptions: Employees that enjoy this benefit will take a break. The reason is to channel the funds in supporting company's growth.

2. Sick leave: I will eliminate this benefit because if I have a health insurance policy on ground, the sick leave benefit is optional. Therefore, it's monetary value will be inculcated into the health insurance policy.

3. Funeral expenses: I will rather organize a team of few employees to represent the organization in any case of funeral ceremony. A representation of the company will give the individual a sense of belonging.

4. Vacations: I will not totally eliminate vacations but I will rather focus on vacations that will also help promote the progress of the organization.

5. Earned leave: This will be difficult to eliminate and it will be the least I know look at.

Employees deserve their earned leave in every organization.

The demographic composition will slightly be affected because the discretionary benefits give the employees motivation to work and when such benefits are absent, it may likely affect workforce.

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What is meant by market in the lower-of-cost-or-market rule?
Pavel [41]

Answer:

Stock is valued at lower of : cost or market price [prudence principle]

Explanation :

Prudence or Conservatism is an accounting principle : anticipating for all possible losses & expenditures, not anticipating for possible profits & gains. This makes business better prepared to face all contingent expenditures/ losses.

This concept's implication is that : Stock or Inventory is valued at the value whichever is lesser between 'cost of inventory' & sale price. This makes inventory valuation as per the above explained Prudence/ Conservatism principle.

7 0
3 years ago
Total population: 39,404 Average household income: $121,000 Average household expenditures: $81,000 In their 20s and 30s: 53% Wh
dolphi86 [110]

Answer:

This is the full question:

Before Caffè Gustoso's owners can develop a marketing plan for the new store, they need to decide how to expand.

To keep the market expansion manageable, they have decided to limit the potential locations to the Chicago suburbs. However, they don't know which suburb to target.

The profile of Caffè Gustoso's current downtown customer is as follows:

Total population: 39,404

Average household income: $121,000

Average household expenditures: $81,000

Age range of customers: 53% In their 20s and 30s

Type of employment: 73.3%White collar employment:

Education level: 79.1% Bachelor's degree or higher:

Family status:  Married: 49.3% Households without children: 78%

The owners have collected data on three potential markets presented in the market analysis report shown here and want your feedback.

Which of the Chicago suburbs is the best target for Caffè Gustoso's planned market development?  Deerfield, Aurora or Naperville.

And the correct answer is:

Naperville, IL

Explanation:

The following information for the 3 suburbs is taken form US Census

                        Average

                        Household                                            

                        Income         Median Age  %Married  %W/O Kids Race

Naperville       $105,585       35                   70%          55%             76% White

Aurora               $63,967       32                   54%          53%             56% White

Deerfield        $107,194         40                   73%           56%             95% White

The suburb that fits the average customer is Deerfield, for the following reasons:

  • The average household income of the Caffe Gustoso's customer is $121,000, and the average household income in Naperville is $105,585, a bit less, but not by a lot.
  • 49% of the customers are married, in Naperville, 70% of people are married. The difference is significant, but in Deerfield more people are married (73%), and in Aurora, the percentage of married people is close (54%), but the average income is not ($63,967 vs $121,000).
  • The average customer is in his 20s and 30s, and the median age in Naperville is 35, still in the 30s.
  • 78% of customers do not have children, and in Naperville 55% of people have children, however, the figures are practically the same for the three suburbs so this is inconsequential.
  • 73.3% of customers are white, and 76% of people in Naperville are white, an almost 1:1 correspondence.

5 0
3 years ago
A federal payroll tax that supports retired workers is progressive tax. sales tax. corporate tax. social security tax.
Romashka [77]
<span>social security tax is the answer to ed</span>genuity
3 0
4 years ago
Read 2 more answers
What do you think of when you hear the words “product development”?
jasenka [17]

Answer: Product development is the complete process of delivering a new product or improving an existing one for customers. The customers can be external or internal within a company.The objective is to ensure that the new or enhanced product satisfies a real customer needs

Explanation:

7 0
3 years ago
Consider the following data set:
Andrei [34K]

Answer:

Kindly check explanation

Explanation:

To obtain the mean absolute deviation(MAD) :

Subtract the forecasted values from the actual values and find its absolute equivalent.

Error (E) = (Actual - forecast)

e1 - - - |e1| - - - - e2 - - - |e2| - APE1 - - APE2

6 - - - - 6 - - - - - 8 - - - - 8 - - 0.772 - - - 1.030

4 - - - - 4 - - - - - 2 - - - - 2 - - 0.507 - - 0.253

4 - - - - 4 - - - - - 2 - - - - 2 - - 0.504 - - 0.252

(-4) - - - 4 - - - - - (-18) - - 18 - 0.513 - - 2.308

(-2) - - - 2 - - - - (-6) - - - 6 - - 0.260 - - 0.781

11 - - - - 11 - - - - 9 - - - - 9 - - 1.412 - - - 1.155

(-1) - - - 1 - - - - - 1 - - - - 1 - - - 0.132 - - 0.132

14 - - - 14 - - - - 10 - - - 10 - - 1.783 - - 1.274

2 - - - - 2 - - - - (-2) - - 2 - - - 0.254 - - 0.254

3 - - - - 3 - - - - - 3 - - - 3 - - 0.379 - - - 0.379

MAD for forecast 1:

(Sum of |e1|) / number of observation

(6 + 4 + 4 + 4 + 2 + 11 + 1 + 14 + 2 + 3) / 10

= 51 / 10

= 5.1

MAD for forecast 2:

(Sum of |e2|) / number of observation

(8 + 2 + 2 + 18 + 6 + 9 + 1 + 10 + 2 + 3) / 10

61 / 10

= 6.1

MAPE = (Sum of absolute percentage error) / number of observations

Forecast 1:

(0.772 + 0.507 + 0.504 + 0.513 + 0.260 + 1.412 + 0.132 + 1.783 + 0.254 + 0.379)% / 10

= 6.516% / 10 = 0.6516%

MAPE Forecast 2:

(1.030 + 0.253 + 0.252 + 2.308 + 0.781 + 1.155 + 0.132 + 1.274 + 0.254 + 0.379)% / 10

= 7.818% / 10

= 0.7818%

4 0
4 years ago
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