Abstract
This research delves into the re-configuration of resource networks, focusing on the promising implications of Industry 4.0 technologies. These technologies, such as Artificial Intelligence (AI), Cloud-ERP Systems (CERP), Big Data Predictive Analytics (BDPA), Internet of Things (IoT), and Blockchain Adoption (BCA), are scrutinized for their potential to enhance efficiency and reconfiguration of resource networks. N=206 participants took part in the survey process. Data analysis based on Smart-PLS revealed some significant findings. AI found no statistical significance with dynamic resource network development; however, cloud findings. The AI found no statistical significance with dynamic resource network development; the cloud showed a significant relation. A significant relationship exists between using Big Data and IoT with dynamic resource network development. However, blockchain adoption (BCA) did not significantly impact resource networks. Overall, this study contributes to the theoretical area of dynamic capability, providing practical insights into the influence of Industry 4.0 technologies. © INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING.
| Original language | English |
|---|---|
| Pages (from-to) | 1360-1378 |
| Journal | International Journal of Industrial Engineering : Theory Applications and Practice |
| Volume | 31 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 16 Oct 2024 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Artificial Intelligence
- Big Data Predictive Analytics
- Blockchain Adoption
- Cloud-ERP systems
- Dynamic capabilities
- IoT-based inventory management
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