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All Journal Systematic Literature Review Journal Multicore International Journal of Multidisciplinary (MIJM) International Journal of Science and Society (IJSS)
Abdullahi Ya'u Usman
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Journal : Multicore International Journal of Multidisciplinary (MIJM)

 1 
A Systematic Review of the Impact of Technological Advancements on Modern Accounting Practices Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.1

Abstract

With the emergence of Industry 4.0, advanced technologies such as artificial intelligence (AI), data analytics, and automation have profoundly transformed the field of accounting. This paper presents a systematic review of recent literature to investigate the evolving landscape of accounting practices influenced by these technological advancements. The study emphasizes the impact of information technology and data analytics on accounting processes and managerial decision-making. Employing a rigorous systematic literature review methodology, relevant academic sources and premier journals were examined under strict inclusion and exclusion criteria. Findings reveal a notable rise in the integration of IT and data analytics within the accounting profession, alongside challenges related to implementation, including the necessity for specialized training and organizational adaptability. The paper concludes by advocating for the creation of comprehensive training programs to support accounting professionals in navigating technological transitions. This review aims to enhance the understanding of current trends in accounting and to guide future research directions in this evolving domain.
Comprehensive Review on Artificial Intelligence Techniques for Financial Forecasting and Their Applications in Stock Market Analysis Sulaiman Taiwo Hassan; Yusuf Adeyanju Yisau; Abalaka James Nda; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.4

Abstract

The methodology involves a systematic review of scholarly literature, concentrating on peer-reviewed studies that discuss the efficacy, obstacles, and future directions of AI in stock market forecasting. Results indicate that AI holds significant promise for improving market efficiency and enhancing the understanding of price volatility. Nonetheless, issues such as data integrity, transparency of AI models, and the demand for comprehensive regulatory oversight remain critical concerns. The conclusions emphasize AI’s transformative capacity to process large-scale datasets and forecast market behavior with greater precision. At the same time, the research acknowledges current AI limitations and advocates for a hybrid approach that integrates AI with traditional forecasting techniques and ongoing algorithmic improvements. Recommendations stress the importance of interdisciplinary collaboration among AI developers, ethical scholars, and financial professionals to create AI systems that are transparent, ethically responsible, and operationally effective. Overall, this paper provides an extensive overview of AI’s impact on financial forecasting, offering valuable insights for future research. It highlights both the substantial opportunities and complex challenges AI introduces to stock market analysis, marking a significant step toward more data-driven decision-making in finance.
Co-Authors Abalaka James Nda Abalaka, James Nda Abdulrahman Abdulganiyu Ahmed Abubakar Zik-Rullahi Sulaiman Taiwo Hassan Yusuf Adeyanju Yisau