Editorial
Blockchain Technology for Manufacturing Sector
@ARTICLE{10.4108/eetiot.7034, author={Lakshminarayana K and Praveen Kulkarni and Padma S Dandannavar and Basavaraj S. Tigadi and Prayag Gokhale and Shreekant Naik}, title={Blockchain Technology for Manufacturing Sector}, journal={EAI Endorsed Transactions on Internet of Things}, volume={10}, number={1}, publisher={EAI}, journal_a={IOT}, year={2024}, month={8}, keywords={Blockchain technology, Industry 4.0, Decision Making Model}, doi={10.4108/eetiot.7034} }
- Lakshminarayana K
Praveen Kulkarni
Padma S Dandannavar
Basavaraj S. Tigadi
Prayag Gokhale
Shreekant Naik
Year: 2024
Blockchain Technology for Manufacturing Sector
IOT
EAI
DOI: 10.4108/eetiot.7034
Abstract
With technology advancing rapidly, organizations must continuously develop to remain competitive. They invest in technologies such as blockchain, artificial intelligence, machine learning, and cloud computing. This study focuses on the challenges of implementing blockchain technology in the manufacturing sector. Data was collected through structured interviews with production and design managers, as well as employees of organizations using new technologies. The snowball sampling method was employed, and analysis was conducted using the large group decision method. The findings will have significant implications for leveraging blockchain in manufacturing. The study focuses on exploring factors related to opportunities and challenges within the technology organisation's environment, addressing existing research gaps. The findings are constrained by the scope of the data series, presenting longitudinal facts. To tackle the prospects and complications highlighted in the study, organizations should make use of this technology to enhance their manufacturing processes.
Copyright © 2024 Praven M Kulkarni et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.