应收账款
审计
计算机科学
审计实质性测试
样品(材料)
会计
审计跟踪
软件
怀疑论
知识管理
业务
联合审计
内部审计
哲学
化学
认识论
程序设计语言
色谱法
作者
Lindsay M. Andiola,Denise Hanes Downey,Christine E. Earley,Devon Jefferson
出处
期刊:Issues in Accounting Education
[American Accounting Association]
日期:2021-09-03
卷期号:37 (2): 37-51
被引量:4
标识
DOI:10.2308/issues-2020-037
摘要
ABSTRACT Substantive testing of accounts receivable through confirmations is an established and required audit procedure. However, the technology used to perform portions of this work is evolving. This case exposes students to the testing of accounts receivable while introducing them to audit-related technologies (such as Interactive Data Extraction and Analysis [IDEA] software and robotic process automation [RPA]) used in practice. In this case, students (1) evaluate a client-provided data file, (2) select a sample of customer invoices using IDEA, (3) obtain audit evidence from their firm's RPA software and evaluate the evidence for the identification of exceptions, (4) project any misstatements from the sample to the population, and (5) document their conclusions. This case helps students develop a greater awareness of technologies used in audit practice. The case also allows students to practice skepticism, apply professional judgment, and hone their business writing skills by documenting their results in a professional memo.
科研通智能强力驱动
Strongly Powered by AbleSci AI