Analysis of the international experience of implementing blockchain technology

Азимов, Дилмурод

doi:10.46656/access.2021.2.2(2)

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Comparable studies [50] have identified provisions and the need to establish a foundation for future research and recommendations on the implementation of blockchain technology. This is especially important considering the nature of literature reviews.…”

Section: Contrast With Other Studiesmentioning

confidence: 99%

Machine Learning and Blockchain: A Bibliometric Study on Security and Privacy

Valencia-Arias,

González-Ruiz,

Verde Flores

et al. 2024

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Machine learning and blockchain technology are fast-developing fields with implications for multiple sectors. Both have attracted a lot of interest and show promise in security, IoT, 5G/6G networks, artificial intelligence, and more. However, challenges remain in the scientific literature, so the aim is to investigate research trends around the use of machine learning in blockchain. A bibliometric analysis is proposed based on the PRISMA-2020 parameters in the Scopus and Web of Science databases. An objective analysis of the most productive and highly cited authors, journals, and countries is conducted. Additionally, a thorough analysis of keyword validity and importance is performed, along with a review of the most significant topics by year of publication. Co-occurrence networks are generated to identify the most crucial research clusters in the field. Finally, a research agenda is proposed to highlight future topics with great potential. This study reveals a growing interest in machine learning and blockchain. Topics are evolving towards IoT and smart contracts. Emerging keywords include cloud computing, intrusion detection, and distributed learning. The United States, Australia, and India are leading the research. The research proposes an agenda to explore new applications and foster collaboration between researchers and countries in this interdisciplinary field.

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Section: Contrast With Other Studiesmentioning

confidence: 99%

Machine Learning and Blockchain: A Bibliometric Study on Security and Privacy

Valencia-Arias,

González-Ruiz,

Verde Flores

et al. 2024

Information

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Prospects of the introduction of digital technologies in agricultural activities

Homidov,

Penev,

Azimov

et al. 2024

BIO Web Conf.

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In the digitalization of agriculture activities, fundamental changes are taking place in the paradigm of agricultural production management, because as a result of the robotization of production and the automation of production management systems, strategic decisions are made by humans, and tactical decisions are made by machines based on the displayed information. This article will talk about the system used to digitize agricultural activities. This program's main function is covered and in what sequence the process takes place. The program was developed as a web application, the Backend of which was based on the Python programming language. In this case, an algorithm and program for achieving the final result are developed based on modular programming methods.

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Examining blockchain adoption determinants and supply chain performance: an empirical study in the logistics and supply chain management industry

Alkatheeri,

Ahmad

2024

JM2

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Purpose The purpose of this study is to explore the potential impact of blockchain technology on supply chain performance (SCP). This study further delves into the enablers of blockchain adoption (BA) in SCM and investigates both the direct and mediated effects of blockchain assimilation on garnering a competitive edge in the supply chain and bolstering innovation proficiency, ultimately enhancing SCP. Design/methodology/approach This study used a quantitative approach, leveraging partial least squares structural equation modelling. Empirical data were sourced from 500 validated data sets obtained through questionnaires. Findings The results indicate that technological readiness and knowledge sharing are key drivers for integrating blockchain into supply chains, with technology readiness displaying a substantially stronger influence. Furthermore, BA significantly enhances supply chain innovation capabilities (SCIC), competitive performance (CP) and overall supply chain efficiency. Notably, both SCIC and CP mediate and amplify the positive effects of blockchain on SCP, emphasising the vital role of innovation and competition in optimising the benefits of blockchain. Originality/value To the best of the authors’ knowledge, this study is the first to bridge the gap in the literature connecting SCM and blockchain. The established model augments the theoretical discourse on the SCM-blockchain, offering scholars a validated framework that can be adapted and built upon in future studies.

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Analysis of the international experience of implementing blockchain technology

Cited by 5 publications

References 6 publications

Machine Learning and Blockchain: A Bibliometric Study on Security and Privacy

Machine Learning and Blockchain: A Bibliometric Study on Security and Privacy

Prospects of the introduction of digital technologies in agricultural activities

Examining blockchain adoption determinants and supply chain performance: an empirical study in the logistics and supply chain management industry

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