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  • 标题:Current State and Challenges in the Implementation of Smart Robotic Process Automation in Accounting and Auditing
  • 本地全文:下载
  • 作者:Max Gotthardt ; Dan Koivulaakso ; Okyanus Paksoy
  • 期刊名称:ACRN Journal of Finance and Risk Perspectives
  • 电子版ISSN:2305-7394
  • 出版年度:2020
  • 卷号:9
  • 期号:1
  • 页码:90-102
  • DOI:10.35944/jofrp.2020.9.1.007
  • 出版社:ACRN Publishing
  • 摘要:Technology development has grown rapidly in the last decades and gained importance for accounting and auditing through its identified potentials. Particularly the automation of judgment systems and systems that require human intervention, are deemed to be more relevant to confront a transformation through Robotic Process Automation (RPA). During the continuous development, the augmentation of such systems through Artificial Intelligence (AI) presents a greenfield project with high expectations. However theoretical frameworks have not yet been elaborative and sufficient to capture how such deployments can be conducted. Addressing this research gap, this study presents a summarized overview of the transforming RPA ecosystem and indicates what challenges are critical to being confronted for a successful implementation of such systems in accounting and auditing.
  • 关键词:Robotic Process Automation Artificial Intelligence Financial technologies Accounting Auditing Technology implementation Black Box Solutions
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