Table 5 Path coefficients and hypothesis...

Table 5

Path coefficients and hypothesis testing

Path	Coeff	p	LLCI	ULCI	Decision
e-HRM → e-HRM macro	0.4073	0.0000	0.3328	0.4818	Supported
e-HRM → EP	0.1639	0.0012	0.0650	0.2628	Supported
e-HRM → JS	0.1900	0.0007	0.0806	0.2994	Supported
EP → JS	0.2748	0.0000	0.1557	0.3939	Supported
EP → OP	0.1058	0.0119	0.0235	0.1880	Supported
JS → OP	0.4289	0.0000	0.3555	0.5022	Supported
R-sq	0.5346	0.0000

Path	Coeff	p	LLCI	ULCI	Decision
e-HRM → e-HRM macro	0.4073	0.0000	0.3328	0.4818	Supported
e-HRM → EP	0.1639	0.0012	0.0650	0.2628	Supported
e-HRM → JS	0.1900	0.0007	0.0806	0.2994	Supported
EP → JS	0.2748	0.0000	0.1557	0.3939	Supported
EP → OP	0.1058	0.0119	0.0235	0.1880	Supported
JS → OP	0.4289	0.0000	0.3555	0.5022	Supported
R-sq	0.5346	0.0000

Indirect effects of e-HRM use on organizational performance
	Effect	BootSE	BootLLCI	BootULCI
Total	0.1181	0.0275	0.0681	0.1756
Ind1	0.0173	0.0099	0.0015	0.0398
Ind2	0.0815	0.0245	0.0359	0.1321
Ind3	0.0193	0.0077	0.0062	0.0358

Indirect effects of e-HRM use on organizational performance
	Effect	BootSE	BootLLCI	BootULCI
Total	0.1181	0.0275	0.0681	0.1756
Ind1	0.0173	0.0099	0.0015	0.0398
Ind2	0.0815	0.0245	0.0359	0.1321
Ind3	0.0193	0.0077	0.0062	0.0358

Note(s): Key: (OP: Organizational performance; EP: Employee performance; JS: Job satisfaction)

Indirect effect key

Ind1 e-HRM use → employee performance → Organizational performance

Ind2 e-HRM use → job satisfaction → Organizational performance

Ind3 e-HRM use → employee performance → job satisfaction → Organizational performance

Source(s): Author's own work

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