TableĀ 8

Predictive power of the model

Q2predictPLS-SEM_RMSEPLS-SEM_MAELM_RMSELM_MAE
WE_10.2051.0160.8141.0170.819
WE_100.2001.1170.9171.1240.930
WE_110.2321.0400.8381.0580.845
WE_120.2241.0380.8391.0350.837
WE_160.2871.0080.8121.0100.807
WE_170.2651.0670.8501.0610.848
WE_20.3020.9900.7940.9910.783
WE_30.1631.1140.8891.1100.888
WE_40.2660.9980.8021.0000.797
WE_50.2381.0350.8291.0360.828
WE_70.2011.0890.8931.0970.898
WE_80.2021.1110.9011.1110.895
WE_90.2411.0070.8191.0310.841
WM_10.2210.9920.8030.9900.797
WM_100.2330.9970.8030.9890.790
WM_110.2191.0680.8591.0400.825
WM_130.1941.0500.8361.0530.839
WM_140.2091.0450.8351.0530.844
WM_20.1511.0590.8471.0710.859
WM_210.2451.0030.8111.0180.822
WM_230.2501.0470.8501.0530.849
WM_260.1911.0040.8051.0220.813
WM_30.2171.0270.8201.0430.829
WM_50.1971.0160.8211.0220.825
WM_60.2131.0000.8051.0120.807
WM_70.2011.0280.8371.0260.831
WM_80.1911.1160.9071.1250.908
WM_90.2401.0380.8371.0150.823
Source(s): Processed by the authors using SmartPLS 4

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