The Influence of Expert Systems on the Efficiency of Accounting Information Systems and the Sustainability of Energy

This research aims to identify the influence of expert systems (ES) on the efficiency of accounting information systems (AIS), which ultimately contributes to decision making sustainability (DMS) in the energy sector, such as saving energy and reducing carbon emissions. Using a quantitative approach, this research involved 127 decision-makers familiar with the efficient use of AIS. Data was collected through a self-completed questionnaire and validated using structural equation modelling (SEM) - PLS. The research results show that expert systems positively and significantly influence AIS efficiency in industrial companies in Indonesia, which in turn can impact DMS in the energy sector. However, technological vigilance did not moderate the relationship between expert systems and AIS efficiency. This study contributes to the AIS efficiency literature by identifying factors influencing AIS network efficiency and its benefits and validating the proposed model in the context of industrial companies. The results of this research serve as a guide to explain the importance of AIS efficiency, provide practical implications, and identify opportunities for future research in energy and sustainability.

Authors

Institutions

Publication Details

Journal
KnE Social Sciences
Published
2025-09-16
DOI
https://doi.org/10.18502/kss.v10i21.19693
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Influence of Expert Systems on the Efficiency of Accounting Information Systems and the Sustainability of Energy

Swarmilah Hariani, Hafiz Abdul Samee Malik
KnE Social Sciences
Big Data and Business Intelligence
article

The Influence of Expert Systems on the Efficiency of Accounting Information Systems and the Sustainability of Energy

Swarmilah Hariani, Hafiz Abdul Samee Malik
article en

Abstract

This research aims to identify the influence of expert systems (ES) on the efficiency of accounting information systems (AIS), which ultimately contributes to decision making sustainability (DMS) in the energy sector, such as saving energy and reducing carbon emissions. Using a quantitative approach, this research involved 127 decision-makers familiar with the efficient use of AIS. Data was collected through a self-completed questionnaire and validated using structural equation modelling (SEM) - PLS. The research results show that expert systems positively and significantly influence AIS efficiency in industrial companies in Indonesia, which in turn can impact DMS in the energy sector. However, technological vigilance did not moderate the relationship between expert systems and AIS efficiency. This study contributes to the AIS efficiency literature by identifying factors influencing AIS network efficiency and its benefits and validating the proposed model in the context of industrial companies. The results of this research serve as a guide to explain the importance of AIS efficiency, provide practical implications, and identify opportunities for future research in energy and sustainability.

KnE Social SciencesVol. 10(21)
Mercu Buana University (ID), Northern University of Malaysia (MY)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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.

The Influence of Expert Systems on the Efficiency of Accounting Information Systems and the Sustainability of Energy — Swarmilah Hariani, Hafiz Abdul Samee Malik · KnE Social Sciences (2025) | TGRS Research Map | TGRS