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Valentin [98]
2 years ago
10

Which marketing philosophy could most help a company outperform its competitors in today's marketplace?

Business
1 answer:
Vlad1618 [11]2 years ago
7 0

The  marketing philosophy that  could most help a company outperform its competitors in today's marketplace is  Market Orientation.

<h3>What is Market Orientation?</h3>

Market orientation  can be described as the  approach to business  which help in the prioritizing as well as identifying the needs as well as the  desires of consumers and  brought about the  products and services that satisfy them.

Therefore, The  marketing philosophy that  could most help a company outperform its competitors in today's marketplace is  Market Orientation.

Learn more about Market Orientation at:

brainly.com/question/25754149

#SPJ1

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The given data represent the total compensation for 10 randomly selected CEOs and their​ company's stock performance in 2009. An
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Missing Question Data:

As the Question is missing relevant data, I have searched for it online and found a question similar. The data is attached in a picture file. It might be a little different from your actual question but same approach can be used to solve the question.

Answer with Explanation:

For simplicity, we denote the compensations with variable <em>x </em>and the stock return with variable <em>y.</em> Let us first find the mean and standard deviation for both compensation (x) and return (y).

Mean of Compensation (<em>x) </em> will be,

X\;=\;\frac{26.43\;+\;12.03\;+\;19.74\;+\;13.54\;+\;11.97\;+\;11.41\;+\;25.94\;+\;14.46\;+\;17.13\;+\;14.71}{10}

X\; = \;16.737

Mean of Stock Return (y) will be,

Y\;=\;\frac{5.43\;+\;30.89\;+\;31.89\;+\;80.06\;-\;8.22\;+\;2.89\;+\;4.39\;+\;10.95\;+\;4.18\;+\;11.94}{10}

Y\;=\;17.44

Standard Deviation for Compensation (x) is given by,

\sigma _{x}\;=\;\sqrt{\frac{\sum (x_{i}-X)^{2}}{N}}

\sigma _{x}\;=\;\sqrt{\frac{(26.43-16.73)^{2}+(12.03-16.73)^{2}+....+(14.71-16.73)^{2}}{10}}

\sigma _{x}\;=\;5.30

Standard Deviation for Compensation (x) is given by,

\sigma _{y}\;=\;\sqrt{\frac{\sum (y_{i}-Y)^{2}}{N}}

\sigma _{y}\;=\;\sqrt{\frac{(5.43-17.44)^{2}+(30.89-17.44)^{2}+....+(11.94-17.44)^{2}}{10}}

\sigma_{y}\;=\;23.97

To find the predicted stock return, we have to use the equation for of line of regression,

y_{required}\;-\;Y\;=\;z\;*\;\frac{\sigma _{x}}{\sigma _{y}}\;*\;(x_{required}-X)\;.........\;(1)

where,

z\; =\;Correlation\;coefficient\;=\;-0.2426\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;(given)

x_{required}\;=\;Compensation\;of\;\$15\;million\;=\;15

y_{required}\;=\;Stock\;return\;at\;x_{required}

Equation (1) will become,

y_{required}\;-\;17.44\;=\;-0.2426\;*\;\frac{5.30}{23.97}\;*\;(15\;-\;16.73)

y_{required}\;=\;-0.054*\;(-1.73)\;+\;17.44\;

y_{required}\;=\;17.533.

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And since, the industry being declining, acquisition of smaller firms and other similar activities shall transform the company into an industry leader.  

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