Welcome
� Our
corporate offices are located near an area known as the Research Triangle,
due to the number of universities and high-technology industries dedicated to
research in the area. It's a great base to focus on travel in the southeastern,
eastern, and midwestern areas of the United States. |
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find ways to improve the profitability of a regional airline business.
study the current pricing strategy of the market that is the least profitable and, therefore, needs the most attention: flights on the Durham to Chicago route.
After you analyze the current pricing strategy, consider a broader plan. He wants you to determine whether the company can use price discrimination effectively and, if so, to recommend a plan to implement price discrimination. Before you begin, read the e-mail from Brian Usher that explains this project in more detail.
In this task, you will explore pricing strategies in situations where a firm has some market power. In addition, you will examine the potential for price-discrimination strategies to increase profits.
Write a 700- to 1,000-word report to Brian
Usher analyzing current and proposed pricing strategies and their
profitability.
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Include an assessment of whether
the current fare maximizes profits. If not, identify the fare that should be
charged. Give evidence that it is the best by showing that profits are highest
if this fare is charged.
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Complete the Customer Demand Data
spreadsheet for Clear Blue Sky by calculating all appropriate revenues, costs,
and profits. This spreadsheet can be downloaded from the Project Materials.
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Discuss whether fuel costs should
be used as a basis for pricing.
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Comment on the suggestion that the
company could use price-discrimination strategies to improve profitability.
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Discuss the requirements for
effective price discrimination, and describe how Clear Blue Sky satisfies these
requirements.
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Identify and describe each group of
travelers according to their price sensitivity. Analyze the price elasticity of
demand for each group.
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Recommend a pricing plan that
effectively separates each group of consumers. Providing actual prices is not
necessary, but your plan should clearly indicate the level of pricing for each
group.
Definitions |
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Data Provided by Marketing |
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Quantity |
Number of passengers |
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Price |
Dollars per passenger; the demand curve, a linear
function of quantity. |
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Price = 1250 - 8 * Quantity |
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Data Provided by Operations |
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Marginal Cost |
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Fixed Costs |
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Formulas for Calculating Additional
Data |
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Exact Marginal Revenue |
Additional revenue gained by selling another seat. |
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Because the demand curve is a linear function of
quantity, the exact marginal revenue can be calculated as follows: |
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Marginal Revenue = 1250 - 16 * Quantity |
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(see Pricing with Market Power Learning Resource for an
explanation of this calculation) |
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Revenue |
Price * Quantity |
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Total Variable Costs |
Quantity * Marginal Cost |
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Profits |
Revenue - Fixed Costs - Total Variable Costs |
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Here is the information route, is a distance
of 680 miles. The maximum capacity of our planes flying this
route is 125 passengers. Based on data from customer purchases and
marketing surveys, we estimate demand for passenger tickets on this route as
follows. Note that demand is a linear relationship between price and
quantity: Price = 1,250 (8 � Quantity) Our fixed costs include salaries of pilots and
flight attendants and fuel. For a one-way flight, current total fixed costs
amount to $25,000. Our variable is $50 per passenger. �I
multiplied this 50 times the quantity of passengers. This figure is constant whether the person is the first or
125th passenger aboard the flight. Variable costs include the expense of
additional fuel requirements for bearing another passenger and associated
luggage, and the costs of food and beverage service, ticket processing, and
baggage handling. Fuel costs are a primary component of our
flight expenses. In Clear Blue Sky's current fare structure, we establish a
price that is a multiple of the average market price for the kerosene-based
jet aviation fuel used in our fleet. For example, given current fuel prices,
the one-way fare charged in the Raleigh-Durham to Chicago market is $850. Fuel costs are expected to rise. Therefore, I
propose a fare increase from $850 to $890 �for the one way route. I did not use this difference. �This
recommendation is based on our proprietary fuel-to-fare factor. Basing ticket prices on the fuel prices allows
us to minimize the risk of changing fuel prices. By passing on the increase
in fuel prices to our customers, I believe we will be able to maintain the
level of profitability on this route. |
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Based on our research, we believe our market
contains four identifiable customer market segments: business, government,
student, and leisure travelers. Our estimates of price sensitivity are below. Business travelers = �1.1 Government travelers = �1.3 Student travelers = �2.6 Leisure travelers = �3.2 There has also been some discussion about
whether other academic/university travelers (e.g., professors and staff) form
a distinct group. However, we have not been able to distinguish this group
from our data, because of the difficulty in identifying these travelers. �I used 1.9 as the
elasticity. ? Our best estimate is
that this group would fall somewhere between government and student travelers
in terms of price sensitivity. |
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fare restrictions:
Please
consider these fare restrictions in designing an appropriate price
discrimination |
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