An investigation of antecedents and outcomes of accounting information quality: Evidence from SMEs

In an increasingly competitive business environment, high-quality accounting information is crucial for companies seeking improved performance—particularly small and medium-sized enterprises (SMEs) in the manufacturing sector. Accounting information quality not only influences internal decision-making but also fosters trust among stakeholders, including investors, creditors, and business partners. This study aims to examine the roles of innovation capability, risk propensity, moral standards, knowledge management, and the management accounting information system (MAIS) in shaping accounting information quality and financial performance. Data were collected through 318 questionnaires distributed to general managers, financial managers, chief accountants, and internal auditors in randomly selected manufacturing companies in Bandung City. The data were analyzed using the SEM-PLS approach to test the relationships among the studied variables. The results indicate that innovation capability, risk propensity, moral standards, and knowledge management significantly influence both the management accounting system and the quality of accounting information. In turn, the management accounting system and accounting information quality significantly affect financial performance. Based on these findings, this study recommends that company management adopt modern MAIS, as it is a critical component for achieving competitive advantage and long-term survival in today’s market.

Authors

Institutions

Publication Details

Journal
Jurnal Akuntansi & Auditing Indonesia
Published
2025-06-23
DOI
https://doi.org/10.20885/jaai.vol29.iss1.art5
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An investigation of antecedents and outcomes of accounting information quality: Evidence from SMEs

Tamy Ali Januarty, Ayi Astuti, Ahmad Johan, Ayke Nuraliati et al.
Jurnal Akuntansi & Auditing Indonesia
Impact of AI and Big Data on Business and Society
article

An investigation of antecedents and outcomes of accounting information quality: Evidence from SMEs

Tamy Ali Januarty, Ayi Astuti, Ahmad Johan, Ayke Nuraliati, Dedi Sudarmadi
article en

Abstract

In an increasingly competitive business environment, high-quality accounting information is crucial for companies seeking improved performance—particularly small and medium-sized enterprises (SMEs) in the manufacturing sector. Accounting information quality not only influences internal decision-making but also fosters trust among stakeholders, including investors, creditors, and business partners. This study aims to examine the roles of innovation capability, risk propensity, moral standards, knowledge management, and the management accounting information system (MAIS) in shaping accounting information quality and financial performance. Data were collected through 318 questionnaires distributed to general managers, financial managers, chief accountants, and internal auditors in randomly selected manufacturing companies in Bandung City. The data were analyzed using the SEM-PLS approach to test the relationships among the studied variables. The results indicate that innovation capability, risk propensity, moral standards, and knowledge management significantly influence both the management accounting system and the quality of accounting information. In turn, the management accounting system and accounting information quality significantly affect financial performance. Based on these findings, this study recommends that company management adopt modern MAIS, as it is a critical component for achieving competitive advantage and long-term survival in today’s market.

Jurnal Akuntansi & Auditing Indonesia
Universitas Langlangbuana (ID)
Openalex Percentile: Top 73%
Impact of AI and Big Data on Business and Society
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.

An investigation of antecedents and outcomes of accounting information quality: Evidence from SMEs — Tamy Ali Januarty, Ayi Astuti, et al. · Jurnal Akuntansi & Auditing Indonesia (2025) | TGRS Research Map | TGRS