Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Recurso digital |
| Sprog: | |
| Udgivet: |
Zenodo
2026
|
| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.20167324 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Indholdsfortegnelse:
- <p>This study uses the Digital Age Integrated Technology Framework (DAITF) to resolve the paradox <br>that although retail organisations invest heavily in digital risk infrastructure, technology adoption <br>does not lead to benefits in resilience. The study uses a sequential explanatory mixed-methods <br>design and collected data from six senior managers with a mean tenure of 9.8 years and <br>questionnaires from 150 Amazon UK employees with a 64.3% response rate. According to the <br>structural equation modeling, OR was the strongest predictor of adoption, with a beta weight of <br>0.923, p < .001, f² = 5.76, a large effect size, stronger than external factors (β = 0.907) and <br>investment in DITF (β = 0.724). Most importantly, OR was the DAITF’s main pathway, as it <br>mediated the relationship between external factors – adoption with 33.5% (indirect β = 0.457, 95% <br>BC CI [0.357, 0.561]). The model had excellent explanatory capability with an R² of 0.931. The <br>main cause of deterioration was automation bias, as confirmed with the qualitative analysis with κ <br>= 0.82. All managers saw the main concern with AI as the over-reliance on AI, with one manager <br>saying, “the danger is not that the system is wrong, the danger is that people stop checking.” <br>Purposeful delays in the deployment of the AI systems, ranging from six to nine months, were <br>recognized as an investment with value, and regulatory compliance was recognized as a strategic <br>benefit. This challenges the Technology-Organization-Environment model, showing that external <br>factors affect effectiveness through resilience capabilities. </p>