期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Identifying accounting control issues from online employee reviews
1
作者 Lukui Huang Alan Abrahams +2 位作者 Juthamon Sithipolvanichgul Richard Gruss peter ractham 《Data Science and Management》 2025年第3期248-256,共9页
This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control deficiencies... This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control deficiencies,facili-tating supplementary monitoring for auditors and management.Employees,who are on the front lines executing policies and procedures,play a critical role in a firm's control environment.Their feedback provides insights into how controls are functioning.Textual data were collected and manually coded using a structured coding scheme mapped to COSO internal control framework(2013)principles.The dataset is unique in that it provides a new source of data that has not been previously used in internal control research,offering new opportunities for exploring the relationship between employee feedback and control weaknesses,and shedding light on potential improvements in internal control practices.Downstream stakeholders(such as researchers,management,in-vestors,and auditors)can benefit by having rapid,automated means for filtering and prioritizing employee reviews for further investigation,with respect to accounting control issue mentions. 展开更多
关键词 Employee reviews Accounting control issues identification COSO framework Internal control Control framework Internal audit
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部