A Quantitative Analysis on the Impact of Artificial Intelligence Solutions in Accounting and Audit

M. Mihai
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引用次数: 0

Abstract

The purpose of this article is to highlight the role of technological, organizational and environmental contexts in the case of the implementation of Artificial Intelligence in the financial sector. As a methodology, the author used statistical tests applied to primary data collected by means of a questionnaire in the form of an online survey with firms that have accounting, financial audit and tax consulting activities. For the study, based on the analysis of specialized literature, seven corresponding hypotheses were developed for three research questions based for the purpose to find out if the implementation of solutions based on Artificial Intelligence is influenced by the technological, organizational and environmental context (TOE Framework, for short). The TOE Framework elements used in this paper are: technological readiness, IT infrastructure, relative advantage, organizational readiness, top management support, industry characteristics, and government regulations. The result of the study shows that artificial intelligence in the field of financial services is significantly influenced by: IT infrastructure, top management support, industrial characteristics, government regulations. The primary data used were collected from large accounting companies and Romanian SMEs.
人工智能解决方案对会计和审计影响的定量分析
本文的目的是强调在金融部门实施人工智能的情况下,技术、组织和环境背景的作用。作为一种方法,作者对通过问卷收集的主要数据进行了统计测试,问卷形式是对从事会计、财务审计和税务咨询活动的公司进行在线调查。对于这项研究,基于对专业文献的分析,针对三个研究问题提出了七个相应的假设,目的是了解基于人工智能的解决方案的实施是否受到技术、组织和环境背景的影响(简称TOE框架)。本文中使用的TOE框架元素包括:技术准备、IT基础设施、相对优势、组织准备、最高管理层支持、行业特征和政府法规。研究结果表明,人工智能在金融服务领域受到以下因素的显著影响:IT基础设施、高层管理支持、行业特征、政府法规。所使用的主要数据是从大型会计公司和罗马尼亚中小企业收集的。
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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