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.

BrandOperator201320142015AverageKruskal–Wallis test
OperatorBrand

AppleAT&T0.8570.9630.9470.9220.1000.000
Sprint0.8990.9580.9760.944
T-MobileX0.9831.0000.992
Verizon0.8990.9510.9520.934
BlackBerryAT&T0.8280.8750.8700.8580.215
Sprint0.784X0.8700.827
T-Mobile0.7540.899X0.827
Verizon0.7190.8360.8070.787
HTCAT&T0.8170.9250.8960.8790.063
Sprint0.7250.8410.7890.785
T-Mobile0.8480.8760.8960.873
Verizon0.6740.8350.8220.777
LGAT&T0.7440.8740.8730.8300.259
Sprint0.7610.8560.8410.819
T-MobileX1.0000.8890.945
Verizon0.8030.7870.8400.810
MotorolaAT&T0.909X0.8570.8830.352
Sprint0.909X0.8570.883
T-Mobile0.6190.8700.8570.782
Verizon0.8910.9330.8950.906
NokiaAT&T0.7690.9230.8090.8340.818
SprintXXXX
T-MobileX0.8850.7450.815
VerizonX0.8800.8500.865
SamsungAT&T0.8760.9500.8710.8990.302
Sprint0.7550.9240.8910.857
T-Mobile0.8990.9500.9390.929
Verizon0.8040.8820.9880.891
SonyAT&T0.857XX0.8570.259
SprintXXXX
T-MobileX0.9300.9520.941
Verizon0.719XX0.719

Average0.8050.9030.881

Note . X indicates no partnership between the brand and the operator; ; Note . is the technical efficiency relative to the metafrontier (DEA-MF).