Table 2

Results of the measurement model

ConstructsItemsConvergent validity
Factor loadingCronbach’s alphaCRaAVEb
AgilityAGL10.8010.8700.8840.664
 AGL20.860
 AGL30.846
 AGL40.881
 AGL50.860
FlexibilityFLX10.7800.8620.8630.646
 FLX20.719
 FLX30.812
 FLX40.853
 FLX50.848
VisibilityVIS10.8690.9250.9330.689
 VIS20.817
 VIS30.791
 VIS40.885
 VIS50.800
 VIS60.837
 VIS70.804
Asset specificityASP10.7850.9260.9420.623
 ASP20.764
 ASP30.788
 ASP40.777
 ASP50.780
 ASP60.773
 ASP70.713
 ASP80.852
 ASP90.860
UncertaintyUNC10.6700.8450.8460.506
 UNC20.743
 UNC30.634
 UNC40.788
 UNC50.806
 UNC60.578
 UNC70.733
Transaction frequencyTRF10.7910.8810.9100.676
 TRF20.901
 TRF30.748
 TRF40.816
 TRF50.845
Bounded rationalityBOR10.5690.8920.9240.510
 BOR20.665
 BOR30.761
 BOR40.727
 BOR50.716
 BOR60.621
 BOR70.695
 BOR80.765
 BOR90.732
 BOR100.732
 BOR110.702
 BOR120.603
 BOR130.669
OpportunismOPP10.5650.9000.9230.591
 OPP20.805
 OPP30.837
 OPP40.803
 OPP50.786
 OPP60.800
 OPP70.778
 OPP80.745
GovernanceGOV10.8160.7180.7520.580
 GOV20.661
 GOV30.522
 GOV40.787
 GOV50.728

Note(s): a Composite reliability (CR) = (square of the summation of the factor loadings)/[(square of the summation of the factor loadings) + (square of the summation of the error variances)]

b Average variance extracted (AVE) = (summation of the square of the factor loadings)/[(summation of the square of the factor loadings) + (summation of the error variances)]

Source(s): Authors’ own work

or Create an Account

Close Modal
Close Modal