The Role Of Accounting Information Systems In Enhancing The Quality Of Financial Reports In Insurance Companies

Using the five critical qualitative characteristics outlined by the International Accounting Standards Board (IASB)—relevance, faithful representation, comparability, verifiability, and understandability—this study examines how Computerised Accounting Systems (CAS) impact the quality of financial reporting in insurance companies. The study delves into the ways in which CAS structural features—including relational databases, automated data processing, reporting capabilities, and enhancement technologies—influence the trustworthiness and use of financial data, drawing on general systems theory. Fifty accounting experts from different insurance firms were surveyed using a mixed-methods approach that included descriptive statistics and regression analysis. The results show that CAS is positively and statistically associated with most aspects of financial reporting quality, especially understandability and relevance. But CAS wasn't as good of a predictor of verifiability, so there's opportunity for development there. This research adds to what is already known about how accounting information systems help insurance companies improve the quality, consistency, and transparency of their reports. Better financial reporting in the digital era is possible with the help of the suggested system upgrades, training initiatives, and regulatory changes.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-06-02
DOI
https://doi.org/10.64252/t45bg723
Primary Topic
Multimedia Learning Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role Of Accounting Information Systems In Enhancing The Quality Of Financial Reports In Insurance Companies

Nahed Habis Alrawashedh, Bilal Nayef Zureigat
International Journal of Environmental Sciences
Multimedia Learning Systems
article

The Role Of Accounting Information Systems In Enhancing The Quality Of Financial Reports In Insurance Companies

Nahed Habis Alrawashedh, Bilal Nayef Zureigat
article en

Abstract

Using the five critical qualitative characteristics outlined by the International Accounting Standards Board (IASB)—relevance, faithful representation, comparability, verifiability, and understandability—this study examines how Computerised Accounting Systems (CAS) impact the quality of financial reporting in insurance companies. The study delves into the ways in which CAS structural features—including relational databases, automated data processing, reporting capabilities, and enhancement technologies—influence the trustworthiness and use of financial data, drawing on general systems theory. Fifty accounting experts from different insurance firms were surveyed using a mixed-methods approach that included descriptive statistics and regression analysis. The results show that CAS is positively and statistically associated with most aspects of financial reporting quality, especially understandability and relevance. But CAS wasn't as good of a predictor of verifiability, so there's opportunity for development there. This research adds to what is already known about how accounting information systems help insurance companies improve the quality, consistency, and transparency of their reports. Better financial reporting in the digital era is possible with the help of the suggested system upgrades, training initiatives, and regulatory changes.

International Journal of Environmental SciencesVol. 11(7s)
Openalex Percentile: Top 78%
Multimedia Learning Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.