Key Factors for In-Store Smartphone Use in an Omnichannel Experience: Millennials vs. Nonmillennials
Table 8
PLS predict assessment.
Construct prediction summary
2
Complete model
Millennials
Nonmillennials
BI
0.654
0.689
0.651
UB
0.503
0.416
0.501
Indicator prediction summary
Complete model
PLS
LM
PLS-LM
RMSE
MAE
2
RMSE
MAE
2
RMSE
MAE
2
BI1
1801
1368
0.682
1801
1337
0.682
0.000
0.031
0.000
BI2
1894
1469
0.659
1878
1420
0.665
0.016
0.049
−0.006
BI3
1851
1402
0.679
1859
1383
0.677
−0.008
0.019
0.002
UB1
2111
1640
0.466
2013
1515
0.515
0.098
0.125
−0.049
UB2
2192
1631
0.423
2123
1573
0.458
0.069
0.058
−0.035
UB3
2227
1673
0.396
2179
1618
0.423
0.048
0.055
−0.027
UB4
2296
1667
0.337
2278
1647
0.347
0.018
0.020
−0.010
UB5
2761
2349
0.292
2679
2193
0.334
0.082
0.156
−0.042
UB6
2575
1997
0.253
2581
2001
0.250
−0.006
−0.004
0.003
UB7
2233
1485
0.186
2243
1510
0.180
−0.010
−0.025
0.006
Millennials
BI1
1808
1394
0.673
1832
1375
0.665
−0.024
0.019
0.008
BI2
1873
1473
0.641
1897
1445
0.632
−0.024
0.028
0.009
BI3
1866
1435
0.67
1926
1438
0.649
−0.060
−0.003
0.021
UB1
2288
1861
0.396
2259
1760
0.411
0.029
0.101
−0.015
UB2
2345
1892
0.372
2316
1836
0.387
0.029
0.056
−0.015
UB3
2409
1937
0.325
2421
1905
0.318
−0.012
0.032
0.007
UB4
2586
2012
0.288
2627
2027
0.266
−0.041
−0.015
0.022
UB5
2964
2532
0.156
2942
2412
0.168
0.022
0.120
−0.012
UB6
2750
2296
0.19
2829
2332
0.142
−0.079
−0.036
0.048
UB7
2540
1879
0.143
2624
1958
0.086
−0.084
−0.079
0.057
Nonmillennials
BI1
1809
1358
0.642
1839
1350
0.63
−0.030
0.008
0.012
BI2
1921
1471
0.623
1940
1441
0.616
−0.019
0.030
0.007
BI3
1860
1398
0.647
1881
1396
0.639
−0.021
0.002
0.008
UB1
1965
1453
0.453
1900
1384
0.489
0.065
0.069
−0.036
UB2
2076
1427
0.41
2056
1432
0.422
0.020
−0.005
−0.012
UB3
2089
1475
0.408
2075
1472
0.416
0.014
0.003
−0.008
UB4
2068
1405
0.346
2095
1430
0.329
−0.027
−0.025
0.017
UB5
2447
2039
0.313
2466
1987
0.302
−0.019
0.052
0.011
UB6
2436
1761
0.253
2476
1778
0.228
−0.040
−0.017
0.025
UB7
2006
1210
0.196
2024
1259
0.181
−0.018
−0.049
0.015
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.