The effect of organizational learning on market orientation moderated by job satisfaction

Figures & data

Figure 1. Model of hypotheses

Figure 2. Model of study

Table 1. Result of analysis on factor loading for outer model

Indicator	Factor loading of latent variables				Convergent validity
	OL	MO	JS	Moderating effect
OL1	0.979				Valid
OL2	0.975				Valid
OL3	0.979				Valid
MO1		0.977			Valid
MO2		0.989			Valid
MO3		0.986			Valid
JS1			0.984		Valid
JS2			0.981		Valid
JS3			0.964		Valid
JS4			0.982		Valid
OL*JS				1.213	Valid

Source: Result of PLS Algorithm with SmartPLS.

Table 2. Result of analysis on AVE for outer model

Latent variable	AVE	Convergent validity
OL	0.956	Valid
JS	0.989	Valid
Moderating Effect	1.000	Valid
MO	0.989	Valid

Source: Result of PLS Algorithm with SmartPLS.

Table 3. Result of analysis on cross-loading for outer model

Indicator	Cross-loading of latent variables				Highest cross-loading	Discriminant validity
	OL	MO	JS	Moderating effect
OL1	0.979	0.958	0.966	−0.040	OL1 → OL	Valid
OL2	0.975	0.968	0.948	−0.326	OL2 → OL	Valid
OL3	0.979	0.966	0.976	−0.044	OL3 → OL	Valid
MO1	0.975	0.977	0.969	−0.174	MO1 →MO	Valid
MO2	0.971	0.989	0.973	−0.224	MO2 → MO	Valid
MO3	0.965	0.986	0.971	−0.147	MO3 → MO	Valid
JS1	0.973	0.975	0.984	−0.041	JS1 →JS	Valid
JS2	0.972	0.980	0.981	−0.162	JS2 → JS	Valid
JS3	0.927	0.924	0.964	0.075	JS3 → JS	Valid
JS4	0.979	0.980	0.982	−0.205	JS4 → JS	Valid
OL*JS	−0.140	−0.185	−0.087	1.000	OL*JS →Moderating Effect	Valid

Source: Result of PLS Algorithm with SmartPLS.

Table 4. Result of analysis on composite reliability for outer model

Latent variable	Composite reliability	Reliability
OL	0.985	Reliable
JS	0.989	Reliable
Moderating Effect	1.000	Reliable
MO	0.989	Reliable

Source: Result of PLS Algorithm with SmartPLS.

Table 5. Result of analysis on R²-value for inner model

Endogenous latent variable	R^2	Decision
MO	0.987	Inner model is good

Source: Result of bootstrapping with SmartPLS.

Table 6. Summary of t_count values from direct effect test

No	Direct effect	Hypothesis		Path Coeff.	tcount	Decision	Remark
		H0	Ha
1.	OL on MO (OL → MO)	H0(1): γ11 = 0	Ha(1): γ11 ≠ 0	0.324	2.803	H0 is rejected; Ha is accepted.	Has a positive and significant effect

Source: Result of analysis with SmartPLS at significance level of 5%.

Table 7. Summary of t_count values from indirect effect test

No	Indirect effect	Hypothesis		Path Coeff.	tcount	Decision	Remark
		H0	Ha
1.	OL on MO moderated by JS (OL*JS→MO)	H0(5): γ12 = 0	Ha(5): γ12 ≠ 0	−0.067	3.076	H0 is rejected; Ha is accepted	Has a negative but significant effect

Source: Result of analysis with SmartPLS at significance level of 5%.

Figure 3. Summary of hypothesis model calculation

(Source: Result of analysis with SmartPLS at significance level of 5%)