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Based on the results of the conjoint analysis for office star, which store design would you pick for them? Why? Existing products Furniture Location Office
Based on the results of the conjoint analysis for office star, which store design would you pick for them? Why?
Existing products Furniture Location Office supplies Computers Office Equipment Within 2 to 5 miles Large assortment Office furniture Software and computers Department Store Within 2 to 5 miles Limited assortment No furniture Sottware only Existing products. Characteristics of products already in the marketplace Predicted market shares The decision rule applied to predict market shares is the share-of-preference rule. Office Equipment Department Store Predicted 78.6% 21.4% Computers Optimal products Based on the number of attributes and attribute levels, there is a total of 18 possible product combinations We report the characteristics of the non-dominated products among those 18 combinations. A product is said to be non-dominated when there is no other product that provides at the same time a higher predicted market share and a higher weighted revenue Location Office supplies Furniture Optimal product 1 Within 5 to 10 miles Large assortiment No furniture Software and computers Optimal product Within 5 to 10 miles Very large assortment No furniture Sothare and computers Optimal product 3 Within 5 to 10 miles Large assortment Office furniture Sothare and computers Optimal product Within 5 to 10 miles very large assortment Office furniture Software and computers Optimal products. Characteristics of optimal products potentially introduced in the marketplace. Predicted market shares and revenue Predicted market shares and revenue Office Equipment Department Store Optimal product Revenue per unit Weighted revenue Base predictions 78.6% 21.4% NA NA NA ...with optimal product 1 52.9% 14.4% 32.7% $ 160.0 $ 524 ...with optimal product 2 50.8% 13.6% 35.6% $ 145.0 $ 51.6 ...with optimal product 3 47.29 13.2% 39.6% $ 1300 $51.5 ...with optimal product 45.296 12.4% 42.3% $115.0 $ 48.7 Simulation results, Predicted market shares, revenue per unit, and weighted revenue (ie, revenae per unit multiplied by predicted market shares) for each optimal product. Existing products Furniture Location Office supplies Computers Office Equipment Within 2 to 5 miles Large assortment Office furniture Software and computers Department Store Within 2 to 5 miles Limited assortment No furniture Sottware only Existing products. Characteristics of products already in the marketplace Predicted market shares The decision rule applied to predict market shares is the share-of-preference rule. Office Equipment Department Store Predicted 78.6% 21.4% Computers Optimal products Based on the number of attributes and attribute levels, there is a total of 18 possible product combinations We report the characteristics of the non-dominated products among those 18 combinations. A product is said to be non-dominated when there is no other product that provides at the same time a higher predicted market share and a higher weighted revenue Location Office supplies Furniture Optimal product 1 Within 5 to 10 miles Large assortiment No furniture Software and computers Optimal product Within 5 to 10 miles Very large assortment No furniture Sothare and computers Optimal product 3 Within 5 to 10 miles Large assortment Office furniture Sothare and computers Optimal product Within 5 to 10 miles very large assortment Office furniture Software and computers Optimal products. Characteristics of optimal products potentially introduced in the marketplace. Predicted market shares and revenue Predicted market shares and revenue Office Equipment Department Store Optimal product Revenue per unit Weighted revenue Base predictions 78.6% 21.4% NA NA NA ...with optimal product 1 52.9% 14.4% 32.7% $ 160.0 $ 524 ...with optimal product 2 50.8% 13.6% 35.6% $ 145.0 $ 51.6 ...with optimal product 3 47.29 13.2% 39.6% $ 1300 $51.5 ...with optimal product 45.296 12.4% 42.3% $115.0 $ 48.7 Simulation results, Predicted market shares, revenue per unit, and weighted revenue (ie, revenae per unit multiplied by predicted market shares) for each optimal productStep by Step Solution
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