Big Data, Accounting and International Development: Trends and challenges

IF 1.8 Q3 BUSINESS
Sonia Arroyo Esteban, Elena Urquía Grande, Alberto Martínez de Silva, Raquel Pérez Estébanez
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引用次数: 2

Abstract

This article aims to show how the Big Data techniques application in accounting to monitor international cooperation projects are a green-field in the academic world. To obtain an exhaustive vision of the state of the art in academic research in this field, a bibliometric analysis has been carried out, based on multiple Web of Science searches, with focus on international development, Big Data and accounting, adding the holistic vision of the 17 SDGs or “Sustainable Development Goals” of the UN Agenda 2030. Research on Big Data, international development and accounting is a new field that has started in 2015 although academic literature is still scarce. Publications related to SDGs also begin on that date, but with much more prolific academic literature, without explicit references to the use of Big Data in accounting. The article finds deficiencies in existing academic research compared to other enterprise fields in which Big Data techniques are much more developed, and international organization reports lead this line of research, as opposed to the scholarly world. The main practical implication derived from the paper is the need to deepen in real cases of use outside the academic sphere as a starting point to develop this line of research. The development of this research area will help NPOs and governments to have a better accounting to evaluate the impact of their initiatives and cooperation projects. In addition to the bibliometric techniques used for the analysis of main publications, authors and relevant topics focused on this area of study, the authors consider a challenge and an opportunity to take the plunge into this field from academic world, which will undoubtedly improve decision-making in international development, emphasizing the need to gain momentum given the current state of greenfield.
大数据、会计与国际发展:趋势与挑战
本文旨在展示大数据技术在会计监督国际合作项目中的应用如何成为学术界的一个绿色领域。为了全面了解该领域学术研究的现状,基于多个科学网搜索,进行了文献计量分析,重点关注国际发展、大数据和会计,并添加了联合国2030年议程中17个可持续发展目标或“可持续发展目标”的整体愿景。大数据、国际发展和会计研究是一个始于2015年的新领域,尽管学术文献仍然很少。与可持续发展目标相关的出版物也从那一天开始,但学术文献要丰富得多,没有明确提及在会计中使用大数据。这篇文章发现,与大数据技术更为发达的其他企业领域相比,现有学术研究存在不足,国际组织的报告引领了这一研究方向,而不是学术界。从这篇论文中得出的主要实际含义是,需要在实际案例中深化学术领域之外的使用,作为发展这一研究领域的起点。这一研究领域的发展将有助于非营利组织和政府更好地评估其举措和合作项目的影响。除了用于分析这一研究领域的主要出版物、作者和相关主题的文献计量技术外,作者们还认为学术界投身这一领域是一个挑战和机遇,这无疑将改善国际发展决策,强调鉴于绿地的现状,需要获得动力。
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
3.00
自引率
12.50%
发文量
27
审稿时长
40 weeks
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