Table 5. Model fit and PLS-predict Items... | Emerald Publishing

Table 5.

Model fit and PLS-predict

Items	Q²	R²	PLS-RMSE	LM-RMSE	PLS-LM RMSE	Q²_predict
C-RPI	0.641	0.731
C-RPI.1			0.664	0.697	−0.033	0.631
C-RPI.2			0.687	0.733	−0.046	0.563
C-RPI.3			0.668	0.711	−0.043	0.661
O-CVCC	0.547	0.715
O-CVCC.3			0.772	0.833	−0.061	0.546
O-CVCC.2			1.009	1.044	−0.035	0.396
O-CVCC.1			0.727	0.769	−0.042	0.694

Items	Q²	R²	PLS-RMSE	LM-RMSE	PLS-LM RMSE	Q²_predict
C-RPI	0.641	0.731
C-RPI.1			0.664	0.697	−0.033	0.631
C-RPI.2			0.687	0.733	−0.046	0.563
C-RPI.3			0.668	0.711	−0.043	0.661
O-CVCC	0.547	0.715
O-CVCC.3			0.772	0.833	−0.061	0.546
O-CVCC.2			1.009	1.044	−0.035	0.396
O-CVCC.1			0.727	0.769	−0.042	0.694

Notes:

C-RPI = customer re-patronage intention; O-CVCC = online customer value cocreation; Where, R² > 0.10 and Q₂ > 0