AIRCO is a leading manufacturer of automated test equipment systems for clients in the aviation and oil
Question:
AIRCO is a leading manufacturer of automated test equipment systems for clients in the aviation and oil and gas industry.
Customers: Boeing, Schlumberger
Customers relied on semi-automated test systems in 1990's that were prone to costly calibration errors.
AIRCO became a market leader by developing the first fully automated system based on its performance, reliability, and calibration accuracy.
By 2008, AIRCO expanded sales and operations globally, 58 additional centers located in North America and Europe. Products came with 3 year warranty, loaner program, and technical support and best technical support.
Competition increased, Two types of competitors- low priced mass market players and high price niche-market players (added smart features than AIRCO).
Challenge: Should it provide more features that are costly for AIRCO to develop, provide more value or lower prices and compete with new entrants.
Market share, Revenue, Profit and Net Income dropped two years in a row for the first time in the company's 20-year history.
Study: Survey of 575 customers about relationship marketing efforts of AIRCO.
Please answer the following questions:
What is the mean level of customer satisfaction with AIRCO's price, product features, ongoing service and support as well as overall customer satisfaction? (25 points)
What is the correlation among customers' satisfaction with AIRCO's price, product features, ongoing service and support, overall customer satisfaction and customer revenue? (25 points)
Perform a regression analysis with customer satisfaction with AIRCO's price, product features, and ongoing service and support as independent variable and overall satisfaction as the dependent variable. What can you inform the sales force based on the regression results? (25 points)
Perform a regression analysis with overall customer satisfaction as the independent variable and revenue as the dependent variable. If customer satisfaction increases by 1 point, how much does revenue increase? (25 points)
Table 1: Variable Description
Variable | Description |
Overall Satisfaction | Overall satisfaction with AIRCO (1-7, 7 being the highest) |
Fair Price | Overall satisfaction with FAIR PRICE (1-7, 7 being the highest) |
Service | Overall satisfaction with SERVICE (1-7, 7 being the highest) |
Product Features | Overall satisfaction with PRODUCT FEATURES (1-7, 7 being the highest) |
Revenue | Revenue generated by CUSTOMER (scaled by an arbitrary number for confidentiality) |
Table 2:Summary Statistics and Correlations
Variable | Obs | Mean | Std.Dev | Min | Max | 1 | 2 | 3 | 4 | 5 |
1. Overall Satisfaction | 575 | 3.96 | 0.86 | 0.92 | 5.34 | 1.00 | ||||
2. Fair Price | 575 | 5.24 | 1.29 | 1 | 7 | 0.82 | 1.00 | |||
3. Service | 575 | 5.30 | 1.34 | 1 | 7 | 0.95 | 0.64 | 1.00 | ||
4. Product Features | 575 | 4.93 | 1.39 | 1 | 7 | 0.77 | 0.60 | 0.63 | 1.00 | |
5. Revenue | 575 | 105.18 | 13.23 | 60.8 | 129.1 | 0.98 | 0.80 | 0.92 | 0.75 | 1.00 |
Table 3:Regression with Overall Satisfaction as Dependent Variable
Coeff | Std.Err | t-value | p-value | LCL | UCL | Weights | |
Constant | 0.20 | 0.02 | 12.04 | 0.00 | 0.16 | 0.23 | |
Fair Price | 0.20 | 0.00 | 52.71 | 0.00 | 0.19 | 0.21 | 0.28 |
Service | 0.41 | 0.00 | 109.59 | 0.00 | 0.40 | 0.42 | 0.57 |
Product Features | 0.11 | 0.00 | 31.60 | 0.00 | 0.10 | 0.12 | 0.15 |
R-Squared | 0.99 |
Table 4:Regression with Revenue as Dependent Variable
Coeff | Std.Err | t-value | p-value | LCL | UCL | Weights | |
Constant | 45.41 | 0.56 | 81.45 | 0.00 | 44.32 | 46.51 | |
Overall Satisfaction | 15.10 | 0.14 | 109.69 | 0.00 | 14.83 | 15.37 | |
R-Squared | 0.955 |
Business Statistics For Contemporary Decision Making
ISBN: 9781119577621
3rd Canadian Edition
Authors: Ken Black, Ignacio Castillo