Designing Data-Driven Business Models: AI Integration and Industrial Data Fusion Across Hierarchical Levels
Keywords:
Artificial Intelligence, Data Fusion, Industry 4.0, Digital Twin, Business ModelsAbstract
With the increasing integration of Artificial Intelligence in manufacturing
processes and the advent of Industry 4.0, businesses are undergoing a transformation
from traditional product-centric models to data-driven, service-oriented models. This
paper systematically analyzes the performance of five hierarchical levels across five
dimensions: data, processes, IT systems, interfaces, and standards, through a literature
review and industrial case analysis. It evaluates the current state and future
developments of each level and explores how intelligent sensor systems can drive the
development of new business models in manufacturing
Downloads
Published
Issue
Section
License
Copyright (c) 2026 © 2026 IJCSE Editorial Office, Los Angeles, California, USA.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal the right of first publication. This work is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Provided that appropriate credit is given and the original publication in this journal is properly cited, others may copy, distribute, transmit, and adapt the work, including for commercial purposes. Authors may also deposit the published version in institutional repositories or on personal websites with a full citation to the final published article and a link to the journal page.
