Table 2 Psychometric properties of the...

Table 2

Psychometric properties of the study variables

Results from EFA analysis			Results from CFA analysis
Construct name and items	Factor loading	Total variance explained	Factor loadings	CR	AVE
TL (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.836	0.561
TL1	0.823		0.801
TL2	0.751		0.749
TL3	0.739		0.726
TL4	0.748	0.589	0.719
LGS (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.854	0.594
LGS1	0.795		0.769
LGS2	0.754		0.734
LGS3	0.829		0.801
LGS4	0.795	0.647	0.779
IC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.869	0.625
IC1	0.807		0.793
IC2	0.796		0.761
IC3	0.847		0.839
IC4	0.781	0.629	0.769
PN (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.881	0.599
PN1	0.796		0.793
PN2	0.778		0.761
PN3	0.769		0.839
PN4	0.743		0.769
PN5	0.739	0.617	0.703
TOC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.816	0.598
TOC1	0.731		0.719
TOC2	0.803		0.793
TOC3	0.839	0.603	0.806
LSC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.800	0.573
LSC1	0.769		0.749
LSC2	0.819		0.806
LSC3	0.729	0.601	0.713
LC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.829	0.550
LC1	0.859		0.839
LC2	0.736		0.706
LC3	0.718		0.708
LC4	0.729	0.607	0.705
CP (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.821	0.604
CP1	0.801		0.791
CP2	0.793		0.773
CP3	0.789	0.681	0.769
MSCN (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.889	0.617
MSCN1	0.841		0.807
MSCN2	0.798		0.739
MSCN3	0.769		0.849
MSCN4	0.767		0.759
MSCN5	0.749	0.826	0.771

Results from EFA analysis			Results from CFA analysis
Construct name and items	Factor loading	Total variance explained	Factor loadings	CR	AVE
TL (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.836	0.561
TL1	0.823		0.801
TL2	0.751		0.749
TL3	0.739		0.726
TL4	0.748	0.589	0.719
LGS (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.854	0.594
LGS1	0.795		0.769
LGS2	0.754		0.734
LGS3	0.829		0.801
LGS4	0.795	0.647	0.779
IC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.869	0.625
IC1	0.807		0.793
IC2	0.796		0.761
IC3	0.847		0.839
IC4	0.781	0.629	0.769
PN (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.881	0.599
PN1	0.796		0.793
PN2	0.778		0.761
PN3	0.769		0.839
PN4	0.743		0.769
PN5	0.739	0.617	0.703
TOC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.816	0.598
TOC1	0.731		0.719
TOC2	0.803		0.793
TOC3	0.839	0.603	0.806
LSC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.800	0.573
LSC1	0.769		0.749
LSC2	0.819		0.806
LSC3	0.729	0.601	0.713
LC (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.829	0.550
LC1	0.859		0.839
LC2	0.736		0.706
LC3	0.718		0.708
LC4	0.729	0.607	0.705
CP (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.821	0.604
CP1	0.801		0.791
CP2	0.793		0.773
CP3	0.789	0.681	0.769
MSCN (Eigenvalue = 2.618, Cronbach’s alpha = 0.846)				0.889	0.617
MSCN1	0.841		0.807
MSCN2	0.798		0.739
MSCN3	0.769		0.849
MSCN4	0.767		0.759
MSCN5	0.749	0.826	0.771

Note(s): Technological limitations (TL), 4 items; lack of governance and standardization (LGS), 4 items; integration challenges (IC), 4 items; poor diffusion through the network (PN), 5 items; traditional organization culture (TOC), 3 items; lack of stakeholder commitment (LSC), 3 items; lack of collaboration (LC), 4 items; low perceived value by customers (CP), 3 items; barriers to metaverse technology implementation for SCN (MSCN), 5 items. CR: composite reliability; AVE: average variance extracted

Source(s): SPSS software output

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