Influence of artificial intelligence technology on green electronic auditing: Moderating effect of organizational culture
This study investigated the impact of the use of advanced technologies, namely expert systems, intelligent agents, and genetic algorithms, on green electronic auditing in accounting firms in Jordan. Research data were gathered from 480 study respondents through a questionnaire, and data were analyzed with Smart PLS. Results show that auditing practices were substantially improved by the use of these technologies, through the achievement of sustainability, and that these technologies became more effective with a supportive organizational culture. Results also show a strong relationship between the technologies, namely, expert systems, intelligent agents, and genetic algorithms. and green electronic auditing. This study demonstrated that organizational culture serves as a moderator that enhances green electronic auditing through its interaction with expert systems; however, not with intelligent agents or genetic algorithms. The study limitations include the use of just one region and likely biases in self-reported data. The use of technologies in other settings and other factors that affect green auditing practices can be examined in future studies. In general, the significance of using innovative technologies to increase auditing sustainability in accounting firms was elucidated in this study.
Authors
- Kamran Munir (ORCID: https://orcid.org/0000-0002-1401-8629)
- Munther Talal Momany (ORCID: https://orcid.org/0000-0002-8088-4437)
- Mohammed H. M. Qeshta
- Omar Jawabreh (ORCID: https://orcid.org/0000-0001-5647-895X)
- Ali Mahmoud Alrabei (ORCID: https://orcid.org/0000-0002-5217-1982)
- Mohammad Oudat (ORCID: https://orcid.org/0000-0001-5918-7306)
- Basel J. A. Ali (ORCID: https://orcid.org/0000-0001-6259-2062)
Institutions
- University of Jordan (JO)
- United Arab Emirates University (AE)
- Jadara University (JO)
- Oasis Hospital (AE)
- University of Sharjah (AE)
- Applied Science University (BH)
Publication Details
- Journal
- Heritage and Sustainable Development ISSN 2712-0554
- Published
- 2025-10-17
- DOI
- https://doi.org/10.37868/hsd.v7i2.1137
- Citations
- 1
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 2.11