Research Article
A Mathematical Programming Approach to Brand Efficiency of Smartphones in the US Market
Table 7
Average DEA-MF of telecommunication operators in 2013–2015.
| Brand | Operator | 2013 | 2014 | 2015 | Average | Kruskal–Wallis test | Operator | Brand |
| Apple | AT&T | 0.857 | 0.963 | 0.947 | 0.922 | 0.100 | 0.000 | Sprint | 0.899 | 0.958 | 0.976 | 0.944 | T-Mobile | X | 0.983 | 1.000 | 0.992 | Verizon | 0.899 | 0.951 | 0.952 | 0.934 | BlackBerry | AT&T | 0.828 | 0.875 | 0.870 | 0.858 | 0.215 | Sprint | 0.784 | X | 0.870 | 0.827 | T-Mobile | 0.754 | 0.899 | X | 0.827 | Verizon | 0.719 | 0.836 | 0.807 | 0.787 | HTC | AT&T | 0.817 | 0.925 | 0.896 | 0.879 | 0.063 | Sprint | 0.725 | 0.841 | 0.789 | 0.785 | T-Mobile | 0.848 | 0.876 | 0.896 | 0.873 | Verizon | 0.674 | 0.835 | 0.822 | 0.777 | LG | AT&T | 0.744 | 0.874 | 0.873 | 0.830 | 0.259 | Sprint | 0.761 | 0.856 | 0.841 | 0.819 | T-Mobile | X | 1.000 | 0.889 | 0.945 | Verizon | 0.803 | 0.787 | 0.840 | 0.810 | Motorola | AT&T | 0.909 | X | 0.857 | 0.883 | 0.352 | Sprint | 0.909 | X | 0.857 | 0.883 | T-Mobile | 0.619 | 0.870 | 0.857 | 0.782 | Verizon | 0.891 | 0.933 | 0.895 | 0.906 | Nokia | AT&T | 0.769 | 0.923 | 0.809 | 0.834 | 0.818 | Sprint | X | X | X | X | T-Mobile | X | 0.885 | 0.745 | 0.815 | Verizon | X | 0.880 | 0.850 | 0.865 | Samsung | AT&T | 0.876 | 0.950 | 0.871 | 0.899 | 0.302 | Sprint | 0.755 | 0.924 | 0.891 | 0.857 | T-Mobile | 0.899 | 0.950 | 0.939 | 0.929 | Verizon | 0.804 | 0.882 | 0.988 | 0.891 | Sony | AT&T | 0.857 | X | X | 0.857 | 0.259 | Sprint | X | X | X | X | T-Mobile | X | 0.930 | 0.952 | 0.941 | Verizon | 0.719 | X | X | 0.719 |
| | Average | 0.805 | 0.903 | 0.881 | | | |
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Note . X indicates no partnership between the brand and the operator; ; Note . is the technical efficiency relative to the metafrontier (DEA-MF).
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