ENHANCING ACCOUNTING RESEARCH: HOW ARTIFICIAL INTELLIGENCE CHANGES THE GAME?
Main Article Content
Hamzah N. Al-Jumaili
This study explores artificial intelligence technology in the scientific research environment, as the researcher seeks to demonstrate the impact of artificial intelligence technology on the quality of scientific research within the framework of accounting sciences in the context of multiple countries represented by (Iraq, Egypt, Saudi Arabia, Jordan, Spain, Australia, Malaysia). The questionnaire tool was used to obtain an answer to a set of paragraphs related to the research variables represented by the dimensions of artificial intelligence and the quality of scientific research. 863 answers were obtained from the countries under study, and these data were subjected to statistical analysis using the SPSS-25 program. The conclusion was reached that artificial intelligence negatively affects the quality of scientific research within the framework of accounting sciences. The partial effects between the research variables and factors can be viewed in the results that were explored in the study. A set of detailed results related to the practices of using artificial intelligence in countries were reached, as we concluded that researchers tend to use artificial intelligence at a low level and may reach a moderate level, which gives an impression about the trend of current practices towards introducing innovative technologies in preparing scientific research in the field of accounting, as technology is used to enhance efficiency and improve results without full reliance on it. However, there is still a general reluctance to fully rely on artificial intelligence in the field of accounting sciences. Despite the potential benefits of the technology, such as increased efficiency and big data analysis, concerns about accuracy, deep understanding, and ethics hinder the general acceptance of full adoption; our study found that Saudi Arabia and Australia have a high level of practices of using artificial intelligence in a large part of the research preparation process. While in countries such as Iraq and Egypt, our results recorded the lowest use of this technology in the field of scientific research in accounting sciences.
Al-Rashidi, S., & Al-Farani, D. L. (2024). The effectiveness of using the artificial intelligence program Typeset.io in developing scientific research skills and graduate students’ attitudes towards it. Ijhss, 2(spc.). https://doi.org/10.61856/ijhss.v2ispc.143
Bianchini, S., Müller, M., & Pelletier, P. (2022). Artificial intelligence in science: An emerging general method of invention. Research Policy, 51(10), 104604.
Ghasham, Muhammad (2023). Artificial intelligence and its applications in scientific research, the artificial intelligence site CHATGPT as a model, Journal of Communication Research, a special issue at the International Scientific Conference of the Faculty of Media at Al-Zaytouna University on November 21/22, 2023, Libya.
Holmes, J., Sacchi, L., & Bellazzi, R. (2004). Artificial intelligence in medicine. Ann R Coll Surg Engl, 86, 334-8.
Hussein, Yasmine (2024). The impact of artificial intelligence applications on the production of scientific research in universities, Journal of the Higher Institute for Gender Studies, 4(11), Jazan University, Kingdom of Saudi Arabia.
Krenn, M., Pollice, R., Guo, S. Y., Aldeghi, M., Cervera-Lierta, A., Friederich, P., ... & Aspuru-Guzik, A. (2022). On scientific understanding with artificial intelligence. Nature Reviews Physics, 4(12), 761-769.
Lawani, S. M. (1986). Some bibliometric correlates of quality in scientific research. Scientometrics, 9, 13-25.
Messeri, L., & Crockett, M. J. (2024). Artificial intelligence and illusions of understanding in scientific research. Nature, 627(8002), 49-58.
Sak, J., & Suchodolska, M. (2021). Artificial intelligence in nutrients science research: a review. Nutrients, 13(2), 322.
Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Can artificial intelligence help for scientific writing? Critical care, 27(1), 75.
Simon, H. A. (1995). Artificial intelligence: an empirical science. Artificial intelligence, 77(1), 95-127.
Taha, Mahmoud. (2024). Artificial intelligence and the quality of scientific research as a requirement for Egypt's vision 2030. Journal of Education Technology and Digital Learning, 5(17), 1-11. https://journals.ekb.eg/article_382388_c3a09a9d29d81f5db11ce6bb2c78cd28.pdf
Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., ... & Zhang, J. (2021). Artificial intelligence: A powerful paradigm for scientific research. Innovation, 2(4).
Zeroual, Alaa El-Din (2023). The impact of artificial intelligence and big data on scientific research outputs in Algeria, a discussion panel on the implications of artificial intelligence on higher education and scientific research in Algeria, Abdelhamid Ben Badis University, Faculty of Management Sciences, Algeria.
