Table 3 Construct reliability and... | Emerald Publishing

Table 3

Construct reliability and validity

	Cronbach’s alpha	rho_A	Composite reliability	Average variance extracted (AVE)
AI Inventory Management	0.712	0.704	0.800	0.756
AI Menu Planning and Personalization	0.821	0.665	0.793	0.833
AI Process Automation	0.767	0.808	0.865	0.682
AI Real-Time Waste Monitoring	0.741	0.696	0.767	0.773
AI Food Recycling	0.702	0.625	0.712	0.757
AI Integration	0.733	0.754	0.726	0.605
Efficiency and Waste Reduction	0.762	0.679	0.778	0.816

	Cronbach’s alpha	rho_A	Composite reliability	Average variance extracted (AVE)
AI Inventory Management	0.712	0.704	0.800	0.756
AI Menu Planning and Personalization	0.821	0.665	0.793	0.833
AI Process Automation	0.767	0.808	0.865	0.682
AI Real-Time Waste Monitoring	0.741	0.696	0.767	0.773
AI Food Recycling	0.702	0.625	0.712	0.757
AI Integration	0.733	0.754	0.726	0.605
Efficiency and Waste Reduction	0.762	0.679	0.778	0.816

Source(s): Authors’ research based on SPSS