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</script>This article aims to map the influence of blockchain technology on the quality of accounting information, in terms of scientific production in the period from 2008 to 2023. The Web of Science was used as a data source. Inclusion and exclusion criteria were applied to select articles, resulting in a total of 393 articles for analysis. The selected studies were analyzed using co-citation techniques, through data clustering. The co-citation analysis reveals three study clusters related to the topic: "Blockchain and Immutable Technology", "Blockchain and Accounting" and "Blockchain and Quality of Accounting Information". Each of these clusters focuses on different aspects of the application of blockchain technology in accounting, including its technological characteristics, benefits and challenges, and the impact on the quality of accounting information. The results indicated that the application of blockchain technology in accounting has the potential to increase the reliability of accounting information, reduce information asymmetry between companies and external investors, and improve the transparency and security of accounting records. This bibliometric analysis provides a comprehensive view of the current state of research on the topic, contributing to the understanding of trends and advances in this field and providing relevant insights for professional practice and future research.
Blockchain, Accounting, Quality of Accounting Information
Blockchain, Accounting, Quality of Accounting Information
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
