Integrating Blockchain, IoT, and XBRL in Accounting Information Systems: A Systematic Literature Review

Q4 Business, Management and Accounting
Mohamed Nofel, Mahmoud Marzouk, Hany Elbardan, Reda Saleh, Aly Mogahed
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Abstract

Over the last few decades, remarkable technical advancements, including artificial intelligence, machine learning, big data, blockchain, cloud computing, and the Internet of Things, have emerged. These tools have the ability to change the accounting process. This study aims to conduct a systematic literature review on using the Internet of Things (IoT), blockchain, and eXtensible Business Reporting Language (XBRL) in a single accounting information system (AIS) to enhance the quality of digital financial reports. This paper employs a systematic literature review (SLR) methodology, specifically, by adopting the widely accepted PRISMA technique. The final sample of this study included 309 related studies from 2013 to 2023. Our findings highlight the lack of literature related to the integration of these three types of technologies within a unified AIS. This study is extremely significant because it proposes a new research stream that explores the possibility of integrating IoT, blockchain, and XBRL in a single accounting system, yielding a plethora of benefits to the accounting field. However, the potential benefits of such an integration are evident, including enhanced transparency, real-time reporting capabilities, and improved data security. Our paper’s main contribution is that it is the first paper, to the best of our knowledge, to explore the integration of these three technologies. We also identified important gaps in the research and pointed out ways for future research to somehow take a lead in exploring further how this integrated system is affecting accounting practices.
在会计信息系统中整合区块链、物联网和 XBRL:系统性文献综述
在过去几十年里,出现了包括人工智能、机器学习、大数据、区块链、云计算和物联网在内的显著技术进步。这些工具有能力改变会计流程。本研究旨在对在单一会计信息系统(AIS)中使用物联网(IoT)、区块链和可扩展商业报告语言(XBRL)以提高数字财务报告质量进行系统的文献综述。本文采用了系统文献综述(SLR)方法,特别是采用了广为接受的PRISMA技术。本研究的最终样本包括从 2013 年到 2023 年的 309 项相关研究。我们的研究结果凸显了在统一的人工智能系统中整合这三类技术相关文献的缺乏。这项研究意义重大,因为它提出了一个新的研究方向,探索将物联网、区块链和XBRL整合到单一会计系统中的可能性,从而为会计领域带来大量益处。然而,这种整合的潜在好处是显而易见的,包括增强透明度、实时报告能力和提高数据安全性。我们这篇论文的主要贡献在于,据我们所知,这是第一篇探讨这三种技术整合的论文。我们还发现了研究中的重要空白,并指出了未来研究以某种方式率先进一步探索这种集成系统如何影响会计实践的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
512
审稿时长
11 weeks
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