The Impact of Accounting Information Quality on Enterprise Risk Management

This paper talks about how good accounting information (AIQ) helps companies deal with risks (ERM) in today’s fast-moving world. It says that when data is right, on time, and easy to read, companies can find problems faster, know how big they are, and act in time. To make this easy to see, the paper uses three simple ideas—agency, stakeholder, and resource views. These ideas show how data that is correct, quick, and useful can help with money, daily work, plans, and rules. Real examples from companies like Amazon, Microsoft, and Unilever show that strong AIQ helps managers and teams make better choices, build trust with staff and investors, and lower risk. But problems still exist, like old systems that do not work well together and workers who do not like new tools. The paper gives ideas such as using better tech, training staff, and building a culture that values clear and true data. It ends by saying that more real tests with numbers and cases are needed to see how much AIQ really helps risk work.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-13
DOI
https://doi.org/10.1051/shsconf/202522502023/pdf
Primary Topic
Knowledge Management and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Accounting Information Quality on Enterprise Risk Management

Springer Link (Chiba Institute of Technology)
Knowledge Management and Technology
article

The Impact of Accounting Information Quality on Enterprise Risk Management

article en

Abstract

This paper talks about how good accounting information (AIQ) helps companies deal with risks (ERM) in today’s fast-moving world. It says that when data is right, on time, and easy to read, companies can find problems faster, know how big they are, and act in time. To make this easy to see, the paper uses three simple ideas—agency, stakeholder, and resource views. These ideas show how data that is correct, quick, and useful can help with money, daily work, plans, and rules. Real examples from companies like Amazon, Microsoft, and Unilever show that strong AIQ helps managers and teams make better choices, build trust with staff and investors, and lower risk. But problems still exist, like old systems that do not work well together and workers who do not like new tools. The paper gives ideas such as using better tech, training staff, and building a culture that values clear and true data. It ends by saying that more real tests with numbers and cases are needed to see how much AIQ really helps risk work.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 33%
Knowledge Management and Technology
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