TY - JOUR
T1 - Navigating the Digital Evolution
T2 - I 4.0 Technologies and their Roles in Reconfiguring Dynamic Resource Management Networks
AU - Jiang, Yuhan
PY - 2024/10/16
Y1 - 2024/10/16
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Big Data Predictive Analytics
KW - Blockchain Adoption
KW - Cloud-ERP systems
KW - Dynamic capabilities
KW - IoT-based inventory management
UR - http://www.scopus.com/inward/record.url?scp=85207340592&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85207340592&origin=recordpage
U2 - 10.23055/ijietap.2024.31.5.10085
DO - 10.23055/ijietap.2024.31.5.10085
M3 - RGC 21 - Publication in refereed journal
SN - 1072-4761
VL - 31
SP - 1360
EP - 1378
JO - International Journal of Industrial Engineering : Theory Applications and Practice
JF - International Journal of Industrial Engineering : Theory Applications and Practice
IS - 5
ER -