The Relationship between Big Data Analytic-Artificial Intelligence and Environmental Performance: A Moderated Mediated Model of Green Supply Chain Collaboration (GSCC) and Top Management Commitment (TMC)
Table 3
Measurement model.
Construct
Items
SFL
Distribution (normal)
()
Skewness
Kurtosis
Big data analytics-artificial intelligence
∝ = 0.866
CR = 0.869 AVE = 0.609
BDAA1
0.822
0.061
−1.404
BDAA2
0.789
0.163
−1.515
BDAA3
0.772
−0.040
−1.461
BDAA4
0.702
−0.112
−1.306
Green supply chain collaboration
∝ = 0.928
CR = 0.895 AVE = 0.838
GSC1
0.803
0.343
−1.245
GSC2
0.866
0.221
−1.217
GSC3
0.841
0.281
−1.219
GSC4
0.852
0.480
−1.088
Top management commitment
∝ = 0.847; CR = 0.864; AVE = 0.763
TMC1
0.843
0.517
−0.409
TMC2
0.880
0.255
−1.099
TMC3
0.884
0.302
−1.009
TMC4
0.874
0.341
−1.082
TMC5
0.881
0.352
−1.098
Environmental performance
∝ = 0.829; CR = 0.811; AVE = 0.549
EP1
0.740
−0.023
−1.264
EP2
0.712
0.183
−1.401
EP3
0.631
0.642
−0.705
EP4
0.739
0.308
−1.118
EP5
0.783
0.515
−1.018
EP6
0.701
0.209
−1.016
Note: (1) BDAA = big data analytics-artificial intelligence; GSC = green supply chain collaboration; TMC = top management commitment; EP = ; environmental performance; (2) = standard factor loading; AVE = average variance extracted; CR = composite reliability; ∝ = cronbach alpha.
