Table 8 Results of evaluating the measurement model

Construct Factor loading Standardized factor loading S.E. C.R. SMC Cronbach α
Competitiveness of products and services B4 1.000 .948 .983 .917
B3 .833 .901 .059 14.156 .737
Capturing of opportunities C4 1.000 .854 .868 .746
C1 .777 .698 .100 7.787 .782
Shortening of business hours D3 1.000 .865 .762 .809
D2 .900 .785 .095 9.480 .686
Decision support G1 1.000 .816 .713 .848
G2 1.032 .905 .091 11.394 .710
Improvement in profitability E4 1.000 .809 .871 .912
E2 1.121 .898 .095 11.816 .842
E1 1.193 .941 .096 12.407 .886
Improvement in process F5 1.000 .917 .807 .921
F4 .930 .933 .061 15.234 .655
Inside industry J2 1.000 .842 .819 .831
J3 1.012 .844 .103 9.789 .666
Public environment K1 1.000 .828 .616 .839
K3 1.060 .873 .112 9.501 .748
Outside industry H1 1.000 .884 .487 .902
H2 1.150 .932 .078 14.730 .729
Intention to adopt big data M2 .860 .859 .126 6.844 .812 .920
M3 1.000 .991 .899
Goodness-of-fit of measurement model x²=215.064, df=144, p=0.000, CMIN/DF=1.494, RMR=.034, GIF=.863, AGFI=.779, CFI=.964, NFI=.900, IFI=.965, RMSEA=.064