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IoT 24(1):

Editorial

Blockchain Technology for Manufacturing Sector

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  • @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
Lakshminarayana K1, Praveen Kulkarni2,*, Padma S Dandannavar3, Basavaraj S. Tigadi1, Prayag Gokhale4, Shreekant Naik5
  • 1: Visvesvaraya Technological University
  • 2: Karnatak Law Society's Institute of Management Education and Research
  • 3: KLS Gogte Institute of Technology
  • 4: KLE Technological University
  • 5: Mangalore Institute of Technology and Engineering
*Contact email: pmkulkarni90@gmail.com

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.

Keywords
Blockchain technology, Industry 4.0, Decision Making Model
Received
2024-06-10
Accepted
2024-07-26
Published
2024-08-22
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.7034

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.

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