The Role of AI as a Mediator in Predicting Future Costs and Accounting Practices: An Empirical Study on Iraqi Telecommunication Companies

In this paper, we take a look at how the Iraqi telecom industry is using artificial intelligence (AI) to improve their accounting methods and foretell future expenditures. Accounting process efficiency and transparency, as well as the application of AI to increase the accuracy of cost predictions, are the primary areas of study. Three hundred and fifty managers and employees from two Iraqi telecommunications companies, Asiacell and Zain Iraq, filled out selfadministered questionnaires for this quantitative study, which made use of purposive sampling. This study used SmartPLS3 for structural equation modeling using partial least squares to examine the data. Taking into account a number of contributing aspects, the study presents concrete tactics for improved financial performance, and presents empirical data on the significance of AI as a mediator. By increasing financial reporting and significantly more accurate cost projections, artificial intelligence is helping companies adjust to the shifting financial environment. The paper also calls for greater research on the long-term financial sustainability of artificial intelligence (AI) adoption in underdeveloped nations and notes knowledge gaps in the present literature on adoption in particular in domains like telecoms.

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF TRANSFORMATIONS IN BUSINESS MANAGEMENT
Published
2025-01-01
DOI
https://doi.org/10.37648/ijtbm.v15i01.005
Primary Topic
Organizational and Employee Performance
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 AI as a Mediator in Predicting Future Costs and Accounting Practices: An Empirical Study on Iraqi Telecommunication Companies

Hasanain Salim Rasheed, Maytham Abbas Khudhair Al-Salmawi
INTERNATIONAL JOURNAL OF TRANSFORMATIONS IN BUSINESS MANAGEMENT
Organizational and Employee Performance
article

The Role of AI as a Mediator in Predicting Future Costs and Accounting Practices: An Empirical Study on Iraqi Telecommunication Companies

Hasanain Salim Rasheed, Maytham Abbas Khudhair Al-Salmawi
article en

Abstract

In this paper, we take a look at how the Iraqi telecom industry is using artificial intelligence (AI) to improve their accounting methods and foretell future expenditures. Accounting process efficiency and transparency, as well as the application of AI to increase the accuracy of cost predictions, are the primary areas of study. Three hundred and fifty managers and employees from two Iraqi telecommunications companies, Asiacell and Zain Iraq, filled out selfadministered questionnaires for this quantitative study, which made use of purposive sampling. This study used SmartPLS3 for structural equation modeling using partial least squares to examine the data. Taking into account a number of contributing aspects, the study presents concrete tactics for improved financial performance, and presents empirical data on the significance of AI as a mediator. By increasing financial reporting and significantly more accurate cost projections, artificial intelligence is helping companies adjust to the shifting financial environment. The paper also calls for greater research on the long-term financial sustainability of artificial intelligence (AI) adoption in underdeveloped nations and notes knowledge gaps in the present literature on adoption in particular in domains like telecoms.

INTERNATIONAL JOURNAL OF TRANSFORMATIONS IN BUSINESS MANAGEMENTVol. 15(1)
Openalex Percentile: Top 97%
Organizational and Employee Performance
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.