Big Data in Auditing for the Future of Data Driven Fraud Detection

Author:

Abstract

Industry revolution 4.0 makes people face change, the auditor profession is no exception. Auditors no longer conduct audits using the manual method but use computerized systems such as big data analytics. Our research aims to find out how auditors must change, when facing new technology approach audit. Very complicated and various data kinds that was too large to be audited manually. The research method in this research is descriptive qualitative, the method of data collection uses interviews with informants. The informant is the auditor partner of the public accounting firm. Big data has advantage and disadvantage to audit and fraud detection profession. The results of this study state that audit firm must be aware of the obstacles that come from internal and external for the implementation of big data analytics audit. Obstacles will hinder the adoption of technology for the auditor, while the auditor must change rapidly following the demands of technological development

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the potential impact of big data on the collection of sufficient, appropriate audit evidence: insights from auditors in the UAE;Qualitative Research in Financial Markets;2024-09-06

2. New Technology Audit Techniques on Firm's Performance: In Selected Firms Oyo State.;African Journal of Accounting and Financial Research;2024-09-04

3. Analyzing the role of digitalization and its impact on auditing;Multimedia Tools and Applications;2024-07-29

4. Implementation of the Islamic Religious Education Learning Model for Deaf Students: Empirical Study in Salatiga State Special Middle Schools;Jurnal Pendidikan Agama Islam Indonesia (JPAII);2024-06-25

5. Role of Big Data Analytics in Audit Quality using IS Success Model as a Basis;Proceedings of the 2024 8th International Conference on E-Commerce, E-Business, and E-Government;2024-05-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3