Question: I. Conjoint Analysis ( 8 points ) ( * Note: if the question involves any calculation, please be sure to include the detailed calculation steps.

I. Conjoint Analysis (8 points)
(*Note: if the question involves any calculation, please be sure to include the detailed calculation steps. You may refer to the product analytics/conjoint analysis in-class worksheet, while calculating the number and identify the best configuration).
Scenario: Waze managers want to examine consumers preferences on certain product features (Route Alternatives,Map Layout, and Store Nearby) of its mobile application to decide whether they shall make any changes to its existing app configurations. The current map features are configured as 1-3 route alternatives, 3D map layout, with gas stations marked along each drivers route.
To get the information, product managers conducted a choice-based conjoint analysis (using the binary logistic regression model approach). The following table shows three product features, with detailed options within each. The coding information (numbers within the parentheses) is also summarized in the table:
Route Alternative Map Layout Store Nearby
1-3 routes (1)2D (1) Fast food Restaurant (1)
3+ routes (2)3D (2) Gas Station (2)
ATM (3)
1) To identify the best feature configuration in this scenario, at least how many different configurations (or combinations) that Waze managers shall test in the conjoint analysis?
2) After collecting customers feedback, managers ran a conjoint analysis and the empirical results are summarized below.
a. Given the p-value performance of each product option, do you think that the best product feature configurations can be applied to all Waze customers? Why or why not?
b. If managers were to reconfigure its mobile apps features, based upon the empirical results (specifically using information provided from the first column of the table), which feature(s) would you recommend managers change? Please simply explain the reason. (*Please note that the current map features are configured as 1-3 route alternatives, 3D map layout, with gas stations marked along each drivers route).
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Route Alternatives(1)-.083.106.6241.430.920
Map Layout(1)-.059.106.3151.575.942
Stores Nearby 1.5572.459
Stores Nearby(1).114.131.7551.3851.120
Stores Nearby(2)-.045.127.1241.724.956
a. Variable(s) entered on step 1: Route Alternatives, Map Layout, Store Nearby.

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