Article
Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting
Intelligent Systems in Accounting, Finance and Management
(2022)
Abstract
This study conducts a pilot test analyzing reports from New York, New Jersey, and
California and uses textual analytics to reengineer government performance audit
reporting. It advocates a performance audit database that can facilitate easier access
and extract relevant information from lengthy reports in a timely manner. The study
presents a framework to identify the commonalities and differences in terminologies
used by sampled states, evaluates and extracts relevant content from the reports
according to Generally Accepted Government Auditing Standards requirements, and
constructs a taxonomy specific to government performance audits. Furthermore, this
study investigates the disclosure quality by examining linguistic and similarity features,
such as report length, specificity, readability, comprehensibility, and content
similarity. This paper raises attention to a key legislative task that requires reporting
reforms.
Keywords
- information retrieval,
- linguistic analytics,
- performance audit,
- similarity analytics,
- taxonomy
Disciplines
Publication Date
December, 2022
Citation Information
Huijue Kelly Duan, Hanxin Hu, Yangin (Ben) Yoon and Miklos A. Vasarhelyi. "Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting" Intelligent Systems in Accounting, Finance and Management (2022) Available at: http://works.bepress.com/huijuekelly-duan/8/