Table 2 Reliability and convergent... | Emerald Publishing

Table 2

Reliability and convergent validity

Construct	Label	KMO	Cronbach’s alpha (α)	Composite reliability (CR)	AVE
Service quality	SERVIQ	0.806	0.945	0.961	0.8609
General system attributes: reliability	RELIAB	0.692	0.797	0.882	0.7146
General system attributes: responsiveness	RESPON	0.500	0.936	0.982	0.9643
General system attributes: integration	INTEGRA	0.500	0.920	0.962	0.9274
BPMS-specific system attributes	SPECIFIC	0.794	0.854	0.908	0.7132
Input quality	INPUTQ	0.923	0.944	0.957	0.7870
System quality	SYSTEMQ	0.844	0.923	0.944	0.7716
Information and knowledge quality: retrieval quality	IKQRETRI	0.922	0.956	0.964	0.7464
Information and knowledge quality: content quality	IKQCNTN	0.915	0.962	0.969	0.8194
Information and knowledge quality: context and linkage quality	IKQCNTX	0.702	0.88	0.918	0.7385
Perceived usefulness for processes	USEFULP	0.842	0.952	0.966	0.8757
Perceived usefulness for KM	USEFULK	0.788	0.943	0.960	0.8559
User satisfaction	SATISF	0.922	0.980	0.985	0.9279
System use for KM	USE	0.852	0.956	0.966	0.8507

Construct	Label	KMO	Cronbach’s alpha (α)	Composite reliability (CR)	AVE
Service quality	SERVIQ	0.806	0.945	0.961	0.8609
General system attributes: reliability	RELIAB	0.692	0.797	0.882	0.7146
General system attributes: responsiveness	RESPON	0.500	0.936	0.982	0.9643
General system attributes: integration	INTEGRA	0.500	0.920	0.962	0.9274
BPMS-specific system attributes	SPECIFIC	0.794	0.854	0.908	0.7132
Input quality	INPUTQ	0.923	0.944	0.957	0.7870
System quality	SYSTEMQ	0.844	0.923	0.944	0.7716
Information and knowledge quality: retrieval quality	IKQRETRI	0.922	0.956	0.964	0.7464
Information and knowledge quality: content quality	IKQCNTN	0.915	0.962	0.969	0.8194
Information and knowledge quality: context and linkage quality	IKQCNTX	0.702	0.88	0.918	0.7385
Perceived usefulness for processes	USEFULP	0.842	0.952	0.966	0.8757
Perceived usefulness for KM	USEFULK	0.788	0.943	0.960	0.8559
User satisfaction	SATISF	0.922	0.980	0.985	0.9279
System use for KM	USE	0.852	0.956	0.966	0.8507

Source: Authors’ elaboration