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3 years ago

These organization tend to be larger in size and small in numbers.

Business

1 answer:

lesya692 [45]3 years ago

4 0

Answer:

Alternative D

Explanation:

Because proprietorships are usually huge organizations that in a quantitive way is a few

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To help with hiring decisions during peak seasons and holidays, Cards for All Seasons uses time-series forecasts, like sales fro

nexus9112 [7]

Answer:

B) A Trend Decision

Explanation:

Trend decision is also known as Trend forecasting. It is a complicated and useful way in which data of past sales is used to determine future trends. It is generally used by marketing experts to determine future sales growth. It can be used in different areas of a business.

An example of the use of trend forecasting is the fashion industry. Since customers change their purchasing behavior rapidly, so a particular garment becomes popular for one season and then it goes out of fashion. Fashion forecasters use trend forecasting to predict the trends by including the work designers and the early adoption of a trend among the people

5 0

3 years ago

Strategy implementation can be the most difficult part of the strategic management process. Which of the following is not likely

RUDIKE [14]

Answer:

d) Competition

Explanation:

According to Rajasekar, J. (2014). <em>Factors affecting effective strategy implementation in a service industry</em> Strategic management process key factors are the role of leadership, the role of culture and the role of organizational structure in strategy implimentation.

On the other hand, "the absence of real competition is either not aware of the need to formulate a strategy and implement it (clarity of strategy) or believe there is no need to do so due to the business structure" (p.177)

Reference: Rajasekar, J. (2014). Factors affecting effective strategy implementation in a service industry: A study of electricity distribution companies in the Sultanate of Oman. International Journal of Business and Social Science, 5(9).

3 0

3 years ago

Suppose Y is a random variable with mu Subscript Upper YμY = 0, and sigma Subscript Upper Y Superscript 2σ2Y = 1, skewness =

Andrews [41]

Answer:

Suppose Y is a random variable with mu Subscript Upper YμY = 0, and sigma Subscript Upper Y Superscript 2σ2Y = 1, skewness = 0, and kurtosis = 100.

n random variables drawn from this distribution might have some large outliers due to the reason that there might be some outliers because the kurtosis of the distribution equals 100..

Option A.

Explanation:

From the question, the rate of the description of the data given will not give rise to outliers in the random sample drawn from the population.

Therefore, there might be some outliers because the kurtosis of the distribution equals 100 - Option A.

3 0

3 years ago

Determine the value-added, non-value-added, and total lead times, and the value-added ratio under the present and proposed produ

AleksAgata [21]

Answer:

Hello some parts of your question is missing attached below is the missing part

Answer : value added times : 30 minutes , 30 minutes

non-value added times: 1210 minutes, 130 minutes

Total lead times : 1240 minutes, 160 minutes

value added time as a ratio: 2.4%, 18.8%

Explanation:

Given data:

production batch sizes = 40 units

process step 1 = 6 minutes

process step 2 = 10 minutes

process step 3 = 6 minutes

process step 4 = 8 minutes

Determining : The value added, non-value added , total lead times and value added ratio under the present and proposed production approaches

UNDER PRESENT PRODUCTION APPROACH

Th value added time:

= summation of all process times = (6+10+6+8) = 30 minutes

Non-value added time:

= Value added time *(Batch size -1) + move time between each step

= 30*39+8*5

= 1170 +40 = 1210 minutes

total lead time :

= value added time + non-value added time

= 30 + 1210 = 1240 minutes

value added time as a percentage/ratio

(value added time / total lead time) * 100

= 30 / 1240 * 100 = 2.4%

UNDER PROPOSED PRODUCTION APPROACH

value added time :

= summation of all process times = (6+10+6+8) = 30 minutes

Non-value added time :

= Value added time *(Batch size -1) + time between each step

= 30*4+2*5 = 120 + 10 = 130 mins

total lead time :

= value added time + non-value added time = 30 +130 = 160 mins

value added time as a percentage/ratio:

(value added time / total lead time ) * 100

= (30 / 160) * 100 = 18.8%

3 0

4 years ago

Question #2

MA_775_DIABLO [31]

Answer: employees

Explanation:

3 0

3 years ago