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 8
Testing for moderated mediation: top management commitment moderates the direct and indirect relationship between BDA-AI and environmental performance (PROCESS model = 59, CI = 95%).
Bootstrapped CI 95%
B
SE
t
LLCI
LLCI
R2
Model 1: Mediator variable model
Outcome: green supply chain collaboration
Big data analytic-artificial intelligence
0.120
0.024
4.911
≤0.001
0.103
0.209
0.806
Top management commitment
0.799
0.021
30.228
≤0.001
0.802
0.913
Big data analytic-artificial intelligence X top management commitment (interaction)
0.017
0.019
1.995
0.012
0.088
0.141
Co: education
−0.019
0.020
−1.221
0.173
−0.071
0.052
Co: firm size
−0.009
0.010
−0.097
0.863
−0.026
0.025
Co: firm age
0.022
0.011
2.003
0.027
0.010
0.062
Co: tenure
−0.008
0.015
−0.501
0.707
−0.064
0.018
The conditional direct effect of BDA-AI on GSCC
Top management commitment (-1SD)
0.061
0.099
1.612
≤0.001
0.094
0.180
Top management commitment (+1SD)
0.194
0.044
3.272
≤0.001
0.181
0.303
Model 2: Dependent variable model dependent: environmental performance
Big data analytic-artificial intelligence
0.221
0.051
4.642
≤0.001
0.127
0.318
0.228
Green supply chain collaboration
0.113
0.042
3.928
≤0.001
0.201
0.494
Top management commitment
0.195
0.082
2.531
0.012
0.134
0.312
Big data analytic-artificial intelligence X top management commitment (Interaction)
0.078
0.032
2.244
0.028
0.103
0.152
Green supply chain collaboration X top management commitment (Interaction)
0.059
0.037
0.726
0.311
−0.064
0.125
Co: education
−0.028
−0.033
−1.010
0.355
−0.092
0.0
Co: firm size
−0.041
0.022
−1.492
0.119
−0.088
0.010
Co: firm age
0.019
0.014
0.699
0.436
−0.024
0.049
Co: tenure
0.021
0.032
−0.591
0.493
−0.114
0.088
The conditional direct effect of BDA-AI on environmental performance
