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              <text>Quantitative assessment of blockchain applications for Industry 4.0 in manufacturing sector</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Blockchain; Industry 4.0; Manufacturing; Technology</text>
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              <text>Blockchain is one of the emerging digital technologies that will play a role in the breakthroughs of the fourth industrial revolution. The use of blockchain technology has the potential to greatly benefit businesses of all sizes by increasing their data's integrity, privacy, and openness. The term Industry 4.0? refers to the amalgamation of recent advances in manufacturing technology that have helped businesses cut production times significantly. The industrial and supply chain industries can benefit from these technological advancements in a number of ways. Increased efficiency in production and a more stable supply chain are just two of the many benefits that blockchain promises to bring to the manufacturing industry. The study focuses on Blockchain's huge potential in the context of Industry 4.0. Understanding the role of Blockchain technology in Industry 4.0 is examined, along with its various drivers, enablers, and associated capabilities. The several sub-domains of Industry 4.0 that can benefit from the implementation of Blockchain technology are also covered. The present research is primary and exploratory in nature. The sample size of the study is 256. The responses obtained from workers working in manufacturing sector in Delhi/NCR. The responses from workers obtained through structured questionnaire. The several sub-domains of Industry 4.0 found that can benefit from the implementation of Blockchain technology. At last, the existing study found the most important uses of Blockchain technology in the fourth industrial revolution.  2023</text>
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              <text>Patil B.S.; .K. Sharma M.; Soubhari T.; Ashok J.; Pandey V.; Joshi G.</text>
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              <text>Materials Today: Proceedings</text>
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              <text>Elsevier Ltd</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.matpr.2023.04.366" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matpr.2023.04.366&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153929728&amp;amp;doi=10.1016%2Fj.matpr.2023.04.366&amp;amp;partnerID=40&amp;amp;md5=e958c626505b1a841877c7278707fae5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153929728&amp;amp;doi=10.1016%2fj.matpr.2023.04.366&amp;amp;partnerID=40&amp;amp;md5=e958c626505b1a841877c7278707fae5&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 22147853</text>
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              <text>Online</text>
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              <text>Patil B.S., Dayananda Sagar Business School, Karnataka, Bengaluru, India; .K. Sharma M., Department of Mathematics, Chaudhary Charan Singh University, U.P, Meerut, India; Soubhari T., N.S.S. College, Manjeri, University of Calicut, Kerala, India; Ashok J., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Pandey V., Department of Management, Amity University, Bihar, Patna, India; Joshi G., Lal Bahadur Shastri Institute of Management, New Delhi, India</text>
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