Result of direct, indirect and interaction effects
| Effect | Relationship | Std beta | Std error | t-value | p-value | BCCI 95% | VIF | f2 | |
|---|---|---|---|---|---|---|---|---|---|
| LB | UB | ||||||||
| Direct | H1: BDA-AI capabilities → Organisational resilience | 0.270 | 0.068 | 3.994 | 0.000 | 0.160 | 0.384 | 1.444 | 0.076 |
| H2: BDA-AI capabilities → Service innovation | 0.331 | 0.062 | 5.295 | 0.000 | 0.220 | 0.426 | 1.000 | 0.123 | |
| H3: BDA-AI capabilities → Distribution efficiency | 0.303 | 0.066 | 4.599 | 0.000 | 0.186 | 0.405 | 1.000 | 0.101 | |
| H4: Service innovation → Organisational resilience | 0.226 | 0.066 | 3.448 | 0.000 | 0.115 | 0.330 | 1.341 | 0.057 | |
| H5: Distribution efficiency → Organisational resilience | 0.170 | 0.065 | 2.604 | 0.005 | 0.455 | 0.604 | 1.393 | 0.031 | |
| H6: Organisational resilience → Operational performance | 0.537 | 0.045 | 12.010 | 0.000 | 0.455 | 0.604 | 1.021 | 0.399 | |
| Indirect | H7a: BDA-AI capabilities → Service innovation → Organisational resilience | 0.075 | 0.027 | 2.778 | 0.005 | 0.029 | 0.134 | ||
| H7b: BDA-AI capabilities → Distribution efficiency → Organisational resilience | 0.052 | 0.024 | 2.143 | 0.032 | 0.011 | 0.103 | |||
| H8: BDA-AI risk concerns*BDA-AI → Organisational resilience | −0.109 | 0.050 | 2.194 | 0.014 | −0.182 | −0.022 | |||
| Control variable | Firm size → Operational performance | 0.012 | 0.061 | 0.198 | 0.843 | −0.111 | 0.132 | ||
| Firm age → Operational performance | 0.002 | 0.056 | 0.040 | 0.968 | −0.111 | 0.108 | |||
| Ownership → Operational performance | −0.054 | 0.054 | 1.016 | 0.310 | −0.159 | 0.052 | |||
| R2 | Q2 | ||||||||
| Service innovation | 0.109 | 0.095 | |||||||
| Distribution efficiency | 0.092 | 0.080 | |||||||
| Organisational resilience | 0.335 | 0.199 | |||||||
| Operational performance | 0.291 | 0.136 | |||||||
| Effect | Relationship | Std beta | Std error | BCCI 95% | VIF | ||||
|---|---|---|---|---|---|---|---|---|---|
| LB | UB | ||||||||
| 0.270 | 0.068 | 3.994 | 0.000 | 0.160 | 0.384 | 1.444 | 0.076 | ||
| 0.331 | 0.062 | 5.295 | 0.000 | 0.220 | 0.426 | 1.000 | 0.123 | ||
| 0.303 | 0.066 | 4.599 | 0.000 | 0.186 | 0.405 | 1.000 | 0.101 | ||
| 0.226 | 0.066 | 3.448 | 0.000 | 0.115 | 0.330 | 1.341 | 0.057 | ||
| 0.170 | 0.065 | 2.604 | 0.005 | 0.455 | 0.604 | 1.393 | 0.031 | ||
| 0.537 | 0.045 | 12.010 | 0.000 | 0.455 | 0.604 | 1.021 | 0.399 | ||
| 0.075 | 0.027 | 2.778 | 0.005 | 0.029 | 0.134 | ||||
| 0.052 | 0.024 | 2.143 | 0.032 | 0.011 | 0.103 | ||||
| −0.109 | 0.050 | 2.194 | 0.014 | −0.182 | −0.022 | ||||
| Firm size → Operational performance | 0.012 | 0.061 | 0.198 | 0.843 | −0.111 | 0.132 | |||
| Firm age → Operational performance | 0.002 | 0.056 | 0.040 | 0.968 | −0.111 | 0.108 | |||
| Ownership → Operational performance | −0.054 | 0.054 | 1.016 | 0.310 | −0.159 | 0.052 | |||
| Service innovation | 0.109 | 0.095 | |||||||
| Distribution efficiency | 0.092 | 0.080 | |||||||
| Organisational resilience | 0.335 | 0.199 | |||||||
| Operational performance | 0.291 | 0.136 | |||||||
Note(s): BDA-AI = Big data analytics and artificial intelligence. ***p < 0.001, **p < 0.01, *p < 0.05. Std Beta = Standard beta; Std Error = Standard error; BCCI = Bias-corrected bootstrap confidence interval; LB = Lower bound; UB = Upper bound; VIF = Variance inflation factor; R2 = Coefficients of determination; Q2 = Predictive relevance; Effect size (f2): T = Trivial (<0.02), S = Small (0.02–0.15), M = Medium (0.15–0.35), L = Large (>0.35) (Cohen, 1988)
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