Research Article

Key Factors for In-Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials

Table 8

PLS predict assessment.

Construct prediction summary
2
Complete modelMillennialsNonmillennials
BI0.6540.6890.651
UB0.5030.4160.501

Indicator prediction summary
Complete model

PLSLMPLS-LM
RMSEMAE2RMSEMAE2RMSEMAE2
BI1180113680.682180113370.6820.0000.0310.000
BI2189414690.659187814200.6650.0160.049−0.006
BI3185114020.679185913830.677−0.0080.0190.002
UB1211116400.466201315150.5150.0980.125−0.049
UB2219216310.423212315730.4580.0690.058−0.035
UB3222716730.396217916180.4230.0480.055−0.027
UB4229616670.337227816470.3470.0180.020−0.010
UB5276123490.292267921930.3340.0820.156−0.042
UB6257519970.253258120010.250−0.006−0.0040.003
UB7223314850.186224315100.180−0.010−0.0250.006

Millennials
BI1180813940.673183213750.665−0.0240.0190.008
BI2187314730.641189714450.632−0.0240.0280.009
BI3186614350.67192614380.649−0.060−0.0030.021
UB1228818610.396225917600.4110.0290.101−0.015
UB2234518920.372231618360.3870.0290.056−0.015
UB3240919370.325242119050.318−0.0120.0320.007
UB4258620120.288262720270.266−0.041−0.0150.022
UB5296425320.156294224120.1680.0220.120−0.012
UB6275022960.19282923320.142−0.079−0.0360.048
UB7254018790.143262419580.086−0.084−0.0790.057

Nonmillennials
BI1180913580.642183913500.63−0.0300.0080.012
BI2192114710.623194014410.616−0.0190.0300.007
BI3186013980.647188113960.639−0.0210.0020.008
UB1196514530.453190013840.4890.0650.069−0.036
UB2207614270.41205614320.4220.020−0.005−0.012
UB3208914750.408207514720.4160.0140.003−0.008
UB4206814050.346209514300.329−0.027−0.0250.017
UB5244720390.313246619870.302−0.0190.0520.011
UB6243617610.253247617780.228−0.040−0.0170.025
UB7200612100.196202412590.181−0.018−0.0490.015

Notes: BI: behavioral intention. US: use behavior RMSE: root mean squared error. MAE: mean absolute error. PLS: partial least pquares math model. LM: linear model.