Table 4 Indicators’ reliability of the...

Table 4

Indicators’ reliability of the reflective constructs

Construct	Items	Mean	SD	Loading
Artificial intelligence (AI) adoption	AI1	0.8750	1.4234	0.7734***
	AI2	0.3000	0.9402	0.6805 ^Ψ
	AI3	0.9750	1.6975	0.7500***
	AI4	0.7000	1.3385	0.7494***
	AI5	0.9000	1.5792	0.6635 ^Ψ
	AI6	0.3110	1.5792	0.6807 ^Ψ
	AI7	0.2200	1.7561	0.8085***
	AI8	0.3481	0.8990	0.5640 ^Ψ
	AI9	0.4222	1.3720	0.6120 ^Ψ
Supply chain resilience (SCR)	SCR1	3.2667	1.0430	0.7279***
	SCR2	3.3667	0.9520	0.7800***
	SCR3	3.5917	0.9915	0.7841***
	SCR4	3.8000	0.9666	0.8372***
	SCR5	3.4167	0.9751	0.7639***
Manufacturing firm performance (MFP)	MFP1	3.5750	0.1185	0.5321 ^Ψ
	MFP2	3.4750	0.2074	0.7055***
	MFP3	3.5000	0.1831	0.5413 ^Ψ
	MFP4	3.9916	0.3055	0.6856^Ψ
	MFP5	3.5750	0.3139	0.8536***
	MFP6	3.9166	0.3256	0.7884***

Construct	Items	Mean	SD	Loading
Artificial intelligence (AI) adoption	AI1	0.8750	1.4234	0.7734***
	AI2	0.3000	0.9402	0.6805 ^Ψ
	AI3	0.9750	1.6975	0.7500***
	AI4	0.7000	1.3385	0.7494***
	AI5	0.9000	1.5792	0.6635 ^Ψ
	AI6	0.3110	1.5792	0.6807 ^Ψ
	AI7	0.2200	1.7561	0.8085***
	AI8	0.3481	0.8990	0.5640 ^Ψ
	AI9	0.4222	1.3720	0.6120 ^Ψ
Supply chain resilience (SCR)	SCR1	3.2667	1.0430	0.7279***
	SCR2	3.3667	0.9520	0.7800***
	SCR3	3.5917	0.9915	0.7841***
	SCR4	3.8000	0.9666	0.8372***
	SCR5	3.4167	0.9751	0.7639***
Manufacturing firm performance (MFP)	MFP1	3.5750	0.1185	0.5321 ^Ψ
	MFP2	3.4750	0.2074	0.7055***
	MFP3	3.5000	0.1831	0.5413 ^Ψ
	MFP4	3.9916	0.3055	0.6856^Ψ
	MFP5	3.5750	0.3139	0.8536***
	MFP6	3.9166	0.3256	0.7884***

Note(s): **p < 0.01 ***p < 0.001

^ΨItems deleted due to insufficient loading < 0.7

Based on n = 4.999 bootstrapping

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