Towards the intelligent automation of accounting research: systemised literature reviews

Monika Łada, Jim Haslam, Bilal
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Abstract

Purpose: The paper aims to highlight the trends in accounting research that used a literature review as their core research approach. The paper also provides an in-depth review of recent systemised reviews to analyse this trend. Methodology/approach: We analyse recent trends in systemised literature reviews in accounting along with coverage of related methodological considerations in research handbooks. Findings: The tendency to automate literature research is demonstrated. Initiatives to systematise the literature review were consistent with the standardisation of the research procedure necessary to develop specialised software. Identified examples of the application of big data analytics and artificial intelligence methods in the synthesis of various areas of accounting research signal the beginnings of the intelligent automation of literature research. Research limitations/implications: The intelligent automation of accounting research is a dynamic phenomenon that requires further, more in-depth analysis. Originality/value: The paper contributes to the very important and current topic of the digital transformation of accounting research.
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实现会计研究的智能自动化:系统化文献综述
目的:本文旨在强调以文献综述为核心研究方法的会计研究趋势。本文还对近期的系统化综述进行了深入评述,以分析这一趋势。方法/途径:我们分析了近期会计领域系统化文献综述的趋势,以及研究手册中对相关方法论考量的覆盖范围。研究结果:表明了文献研究自动化的趋势。文献综述系统化的举措与开发专用软件所需的研究程序标准化是一致的。大数据分析和人工智能方法在会计研究各领域综合应用的实例,标志着文献研究智能自动化的开端。研究局限性/影响:会计研究的智能自动化是一个动态现象,需要进一步深入分析。原创性/价值:本文对当前非常重要的会计研究数字化转型课题做出了贡献。
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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